Bibliographies thématiques / AGRICULTURAL DATABASE

Littérature scientifique sur le sujet « AGRICULTURAL DATABASE »

Auteur : Grafiati
Publié le 11 septembre 2023

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Articles de revues sur le sujet "AGRICULTURAL DATABASE"

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Bunin, M. S., I. A. Kolenchenko et L. N. Pirumova. « Digital agriculture informational resources in local and international databases ». Dokuchaev Soil Bulletin, no 108 (19 octobre 2021) : 157–74. http://dx.doi.org/10.19047/0136-1694-2021-108-157-174.

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The article reviews informational resources on precision and digital agriculture in international cross-disciplinal and sectoral international and local databases. The databases Web of Science, Scopus, AGRIS (by FAO UN) and Engineering infrastructure of Agriculture, Rosinformagrotech, AGROS (by Central Scientific Agricultural Library) with the retrieval requests “Digital agriculture”, “Precision Agriculture” were analyzed. The authors estimated the dynamics of document flows to the AGROS database and confirmed strong growth of volume of local publications on precision agriculture to the level demonstrating technology adoption of precision agriculture. Meanwhile the level of document flow on digital agriculture is at the starting level. Analysis of most frequent publications on the topic showed that there’s no local specialized journals on precision agriculture, most frequently publications appeared in local journals such as “Machinery and equipment for rural areas”, “Soil science and agrochemistry”, “Agricultural machinery and technology”. Predominantly materials were published in specialized foreign journals “Computers and electronics in agriculture” and “Precision agriculture”. Most of the documents were obtained from WOS and Scopus databases, but a lot of them are irrelevant. While searching for foreign documents it makes sense to use all the databases available, but most of the full-size texts in open access are available in the AGRIS database. In the same way AGROS database provide a wide range of full-size texts in the Russian language. Both AGROS and AGRIS databases showed high efficiency of search with most relevant documents in search results since both databases use thesaurus as a linguistic tool.
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Goertzen, Melissa. « Multidisciplinary Databases Outperform Specialized and Comprehensive Databases for Agricultural Literature Coverage ». Evidence Based Library and Information Practice 14, no 2 (13 juin 2019) : 140–42. http://dx.doi.org/10.18438/eblip29561.

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A Review of: Ritchie, S. M., Young, L. M., & Sigman, J. (2018). A comparison of selected bibliographic database subject overlap for agricultural information. Issues in Science and Technology Librarianship, 89. http://doi.org/10.5062/F49Z9340 Abstract Objective – To determine the most comprehensive database(s) for agricultural literature searching. Design – Data collection and analysis was conducted using a modified version of the bibliography method, overlap analysis, chi square tests, and data visualization methods. Setting – An academic library in the U.S. Subjects – Eight commonly used bibliographic databases, including comprehensive agricultural indexes (AGRICOLA, AGRIS, and CAB Abstracts), specialized databases (BIOSIS Previews and FSTA), and multidisciplinary databases (Google Scholar, Scopus, and Web of Science). Methods – The researchers selected three review articles that represented sub-topics within the field of agriculture. Sources listed in the bibliographies of the three review articles were used to build a bibliographic citation set for analysis. Using a modified version of the bibliography method, 90 citations were randomly selected from the above-mentioned citation set. Researchers then turned to the 8 selected databases and searched for all 90 citations in each platform. Search queries were crafted in two ways: unique title strings in quotation marks and combinations of terms entered into the “title”, “keyword”, “journal source”, and “author” fields. Citations were considered to be covered in a database if the full bibliographic record was located using the above-mentioned search strategy. Next, chi square tests were used to evaluate if the expected number of citations from the sample group were found in each database or if the frequency differed between the eight databases. The overlap analysis method provided numerical representation of the degree of similarity and difference across the eight databases. Finally, data visualizations created in Excel and Gephi enhanced comparisons between the eight databases and highlighted differences that were not obvious based solely on the analysis of numerical data. Main Results – Researchers found that comprehensive databases (AGRICOLA, AGRIS, and CAB Abstracts) were not in fact comprehensive in their coverage of agricultural literature. However, the results suggested that CAB Abstracts was more comprehensive than AGRICOLA or AGRIS, particularly in regard to its coverage of the sub-topics “agronomy” and “meat sciences”. However, coverage of the sub-topic “sustainable diets” lagged behind multidisciplinary databases, which may be explained by the fact that the topic is interdisciplinary in nature. The superior coverage of CAB Abstracts over other comprehensive databases is consistent with findings reported by Kawasaki (2004). The analysis of specialized databases (BIOSIS Previews and FSTA) suggested that citations within the scope of the database were covered very well, while those out of scope were not. For instance, the sub-topics “sustainable diets” and “meat science” are out of scope of the biological sciences and thus, were not well covered in BIOSIS. The multidisciplinary databases (Google Scholar, Scopus and Web of Science) provided the most comprehensive coverage agricultural literature. All three databases covered most citations included in the data set. However, researchers noted that all three databases provided weak coverage of trade published items, books, or older journals. Conclusion – The study found that multidisciplinary databases provide close to full coverage of agricultural literature. In addition, they provide the best access to content that is interdisciplinary in nature. Specialized and comprehensive databases are recommended when research topics are within the scope of the database. Also, they best support in-depth projects such as bibliographies or comprehensive review articles.
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McKean, John R., R. Garth Taylor et Wen Lin Liu. « Inadequate agricultural database for American Indians ? » Society & ; Natural Resources 8, no 4 (juillet 1995) : 361–66. http://dx.doi.org/10.1080/08941929509380928.

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Ngwira, Margaret. « Developing an agricultural database in Malawi ». Information Development 7, no 2 (avril 1991) : 89–92. http://dx.doi.org/10.1177/026666699100700207.

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Afxentiou, Nicolas, Phoebe-Zoe Morsink Georgali, Angeliki Kylili et Paris A. Fokaides. « Greenhouse agricultural plastic waste mapping database ». Data in Brief 34 (février 2021) : 106622. http://dx.doi.org/10.1016/j.dib.2020.106622.

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Romaschenko, M. I., V. P. Kovalchuk, Y. O. Tarariko, Y. V. Soroka, A. V. Krucheniuk et O. S. Demchuk. « Information management system for agricultural production on the Internet ». Міжвідомчий тематичний науковий збірник "Меліорація і водне господарство" 104, no 2 (27 novembre 2016) : 87–92. http://dx.doi.org/10.31073/mivg201602-64.

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The analysis of information support in the agricultural production has been done. IWPLR is developing now a «System of information support for agriculture», which has a two-level structure of decision-making and contains a database. At the level of «economy» the system, taking into account both the economic priorities and the wishes of the farms as well as soil-climatic and environmental constraints helps the agricultural producers (the users of the system) to define a set of priority crops using a subsystem «crop rotation». At the level of «field» the system, using the database helps the users to calculate the flow process charts for identified priority crops. The database of the system consists of five sections: «agriculture», «agri-resource potential» «reclamation», «mechanization and processing», «animal production» and provides some background information for agricultural producers.
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Wang, Shu Rong, Jin Song Zhao et Song Ze Lei. « The Research on the Intelligent Control of Geographic Information System Design to Agricultural Production ». Advanced Materials Research 605-607 (décembre 2012) : 1705–9. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1705.

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Agricultural geographic information system could use the agriculture information database, agricultural resources dynamic monitoring, agricultural management, analysis and decision support, "precision agriculture" demonstration, realizes the intelligent control of agricultural production management, could realize rapid investigation and monitoring in each link of agricultural production, timely diagnosis and analysis, high decision-making and management, thus promoting agricultural modernization.
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Sanches, I. D., R. Q. Feitosa, B. Montibeller, P. M. Achanccaray Diaz, A. J. B. Luiz, M. D. Soares, V. H. R. Prudente et al. « FIRST RESULTS OF THE LEM BENCHMARK DATABASE FOR AGRICULTURAL APPLICATIONS ». ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B5-2020 (24 août 2020) : 251–56. http://dx.doi.org/10.5194/isprs-archives-xliii-b5-2020-251-2020.

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Abstract. Applying remote sensing technology to map and monitor agriculture and its impacts can greatly contribute for the proper development of this activity, promoting efficient food, fiber and energy production. For that, not only remote sensing images are needed, but also ground truth information, which is a key factor for the development and improvement of methodologies using remote sensing data. While a variety of images are current available, inclusive cost-free images, field reference data is scarcer. For agricultural applications, especially in tropical regions such as Brazil, where the agriculture is very dynamic and diverse (recent agricultural frontiers, crop rotations, multiple cropping systems, several management practices, etc.), and cultivated over a vast territory, this task is not trivial. One way of boosting the researches in agricultural remote sensing is to stimulate people to share their data, and to foster different groups to use the same dataset, so distinct methods can be properly compared. In this context, our group created the LEM Benchmark Database (a project funded by the ISPRS Scientific Initiative project - 2017) from the Luiz Eduardo Magalhães (LEM) municipality, Bahia State, Brazil. The database contains a set of pre-processed multitemporal satellite images (Landsat-8/OLI, Sentinel-2/MSI and SAR band-C Sentinel-1) and shapefiles of agricultural fields with their correspondent monthly land use classes, covering the period of one Brazilian crop year (2017–2018). In this paper we present the first results obtained with this database.
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Li, Haizhou, François Pinet et Farouk Toumani. « Towards The Use of Probabilistic Spatial Relation Databases in Business Process Modeling ». International Journal of Agricultural and Environmental Information Systems 6, no 3 (juillet 2015) : 50–62. http://dx.doi.org/10.4018/ijaeis.2015070104.

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In this paper, the authors combine the methods of probabilistic databases, GIS (Geographical Information Systems) and business process modelling to evaluate the agricultural activities. The authors provide a technique to evaluate the risk of agricultural activities among the hydrological objects (lakes, rivers, etc.) and agricultural plots. The spatial relation is an important information needed in the evaluation processes. This type of information is usually uncertain and the available data are often not precise. Consequently, probabilistic database is used to capture the uncertainty of the spatial objects in order to estimate the level of possible water and soil contamination (by agricultural inputs). Probabilistic spatial relations provide information on the layout of spatial objects. Probabilities are stored in a probabilistic database. Probabilistic database is a finite number of complete databases that are assigned with a set of probabilities. Probabilistic data-aware business processes integrate the theory of probabilistic database with business processes modeling methods. This new formalism of business processes helps the experts to model the environmental risks in terms of probabilistic spatial relations.
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Mohd Nizar, Nur Marahaini, Ebrahim Jahanshiri, Anil Shekar Tharmandram, Ayman Salama, Siti Sarah Mohd Sinin, Nurul Jannah Abdullah, Husna Zolkepli et al. « Underutilised crops database for supporting agricultural diversification ». Computers and Electronics in Agriculture 180 (janvier 2021) : 105920. http://dx.doi.org/10.1016/j.compag.2020.105920.

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Thèses sur le sujet "AGRICULTURAL DATABASE"

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Wilson, Amanda Janice. « Database Marketing Management Strategies for Agricultural Lenders ». Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/36734.

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This study examines the use of databases to improve marketing techniques and customer segmentation in lending institutions. Specifically, this study examines the use of products and services by agricultural customers, and then determines the relationship between the use of those products and services with farm business characteristics. Information is also obtained on the interest rate sensitivity of the producers and correlated with farm business characteristics. The importance of technology and strategic alliances and other influences in the decision making process are determined after survey analysis. The survey was sent to producers who had some type of loan. Respondents from this study used an average of 3.2 loan products and 7.6 services for a total of 10.8 loans and services. Only 1 percent of the respondents indicated that they did not have a personal checking account. Twelve percent of the respondents indicated that they did not use a credit card. Only 16 percent of the respondents indicated that they used leasing services. Investment products did not have a high percentage of use. Thirty-three percent indicated they were using certificates of deposit, while only 21 percent indicated the use of money market funds, and 30 percent indicated the use of mutual funds. Thirty-seven percent indicated they were using IRAs. However, most of the respondents were using some form of insurance. Three-fourths of the respondents were using life insurance, while only 21 percent indicated that they did not possess disability insurance. Other services were also analyzed in this study. Only 15 percent of the respondents indicated that they were utilizing estate planning services, despite the 67 percent of respondents who were greater than age 41 and the 58 percent of respondents with greater than $500,000 in assets. Seventeen percent of the respondents were using an appraisal service. Due to the lower levels of usage for the investment products, this study focused on the relationship between farm characteristics and the investment products. This study showed that a relationship existed between farm and non-farm income with IRA usage. iii Only farm income had a relationship with money market fund usage and mutual fund usage. While, the use of estate plans was related to asset level. The analysis on interest rate sensitivity was determined by the amount an interest rate would have to decrease for a producer to switch lending institutions. The producers who were found to be less interest rate sensitive were those who had lower farm and non-farm incomes, lower asset levels, lower education levels, higher debt-to-asset ratio, and those who owned a computer. This implies that these are the more loyal customers to an institution or perhaps these producers have fewer opportunities to switch institutions. Producers in this study indicated that when selecting a lender/service provider, a competitive interest rate (76 percent of respondents) and the institution being a dependable source of credit (75 percent) was important. Knowledge of agriculture was also very important (69 percent of respondents). Internet banking and educational seminars rated as the characteristics that were least important, 3 percent and 9 percent, respectively. However, in the decision making process, lenders (69 percent of respondents), accountants (53 percent), and veterinarians (38 percent) were shown to be very important. The spouse/partner has considerable influence also on decision making. Sixty-seven percent of the respondents indicated that the spouse/partner had a considerable influence on investment decision, while sixty-one percent of the respondents indicated that the spouse/partner had a considerable influence on credit decisions. Five specific recommendations were made to the institutions following this study. These recommendations include: use of technology, institutional use of databases, use of influencers, and targeting and segmenting the marketplace.
Master of Science
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Francis, A. T., Razak C. Abdul et Humayoon Kabir. « Role of library and information professionals as teachers and trainers in agricultural education : An experience of the Kerala Agricultural University, India ». School of Communication & ; Information, Nanyang Technological University, 2006. http://hdl.handle.net/10150/105167.

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Poster paper
The latest developments in Information and Communication Technologies (ICT) have made the concept "Libraries without walls" into a practical reality. This has posed several challenges to the information work force and the information users. At the same time, we have noticed the issues related to the information overload and information quality. At this juncture, efforts are strengthening to develop means to persuade and equip the users and information specialists to achieve maximum efficiency in information services. It was observed that one of the important reasons for the under utilization of electronic information is the lack of requisite level of working knowledge and consumption skills among customers and information intermediaries (Sridhar, 1997). To improve the situation, the conventional user education programmes need be redefined and reengineered, to be it more technology oriented. It should be designed in such a way to provide confidence to the user in locating desired information (Francis, 2005).
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Bookman, Jedidiah A. « Describing Agricultural Injury in Ohio Using the Ohio Bureau of Workers’ Compensation Database ». The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354676420.

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McNulty, Wendy. « The creation of a GIS database and the determination of sludge's spectral signature in an agricultural setting ». Connect to this title online, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=bgsu1120596906.

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McNulty, Wendy Lynn. « THE CREATION OF A GIS DATABASE AND THE DETERMINATION OF SLUDGE'S SPECTRAL SIGNATURE IN AN AGRICULTURAL SETTING ». Bowling Green State University / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1120596906.

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Haslauer, Claus P. « Hydrogeologic Analysis of a Complex Aquifer System and Impacts of Changes in Agricultural Practices on Nitrate Concentrations in a Municipal Well Field : Woodstock, Ontario ». Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/1223.

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The Thornton Well Field, located in an area of dominantly (~80%) agricultural land-use, produces ~50% of the drinking water for the city of Woodstock. Since the mid 1990?s nitrate concentrations in some of the supply wells are above the Maximum Allowable Concentration (MAC) of 10mg-N/L. The source of the nitrate is believed to be from agricultural fertilizing practices. As response to this problem, the County of Oxford purchased 111 hectares of farmland within the capture zone of the Thornton Well Field. This land is rented back to farmers with restrictions placed on the amount of nitrate fertilizer that can be applied in an attempt to sustainably reduce the nitrate concentrations in the ThorntonWell Field below MAC.

The objective of this thesis is to improve the site conceptual hydrogeologic model, both at a spatial scale suitable for numerical analysis through regional groundwater flow modelling (representative distance ~9km) and at a smaller scale (representative distance ~2km) for nitrate transport modelling in the vicinity of the Thornton Well Field and the purchased land. Field investigations aimed to support the site hydrogeologic model involved drilling, geologic logging, and instrumentation of a 72m deep borehole completed to bedrock in the center of the nitrate plume, at the border of the farmland under consideration. The shallow subsurface features encountered during this initial drilling operation were tracked below the farm fields with geophysical tools and additional drilling and core logging throughout the field site. Transient hydraulic head observations in combination with on-site precipitation measurements were used to indicate where a hydraulic connection between ground surface and deeper layers exists, which allow rapid infiltration to occur into a glaciofluvial outwash channel which was identified as one important pathway for nitrate transport to the Thornton Well Field. One receptor at the end of that pathway, the screen of the supply Well 01, was depth-discrete profiled for water inflow and nitrate concentrations to obtain better characteristics of the receptor.

A method was developed to estimate the nitrate mass stored in the unsaturated zone below Parcel B, permitting an estimation of the time frame required for flushing the nitrate out of this zone, and the anticipated effects on nitrate concentrations in the supply wells. The spatial distribution of nitrate concentrations in the unsaturated zone and in the aquifer units was analyzed. It was found that the nitrate concentration within the unsaturated zone below Parcel B is ~16mg-N/L, resulting in a total nitrogen mass of ~20t within that zone. It was shown that significant reductions (~10%) in nitrate concentrations in the supply wells of the Thornton Well Field can be achieved, assuming zero nitrate mass influx into the domain from Parcel B.

A comprehensive data base was developed to organize, manage, and analyze all site measured data for that purpose, and regional hydrogeologic data from the MOE Water Well Record Database. The contents of this database in conjunction with the MOE Water Well Record Database were used to construct a three-dimensional digital representation of the hydrostratigraphic units at a regional and at a local scale. This three-dimensional hydrostratigraphic unit spatial distribution along with surface watershed information and potentiometric surfaces of the various aquifer units will be used to define a suitable spatial domain and associated boundary conditions for future modelling efforts. This hydrostratigraphic model will serve as basis for predicting the effects of agricultural land-use changes within the capture zone of the Thornton Well Field (Parcel B) on the nitrate concentrations in the supply wells of the Thornton Well Field.
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Schreiber, Werner. « GIS and EUREPGAP : applying GIS to increase effective farm management in accordance GAP requirements ». Thesis, Stellenbosch : Stellenbosch University, 2003. http://hdl.handle.net/10019.1/53440.

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Thesis (MSc)--Stellenbosch University, 2003.
ENGLISH ABSTRACT: With the inception of precision farming techniques during the last decade, agricultural efficiency has improved, leading to greater productivity and enhanced economic benefits associated with agriculture. The awareness of health risks associated with food borne diseases has also increased. Systems such as Hazard Analysis and Critical Control Points (RACCP) in the USA and Good Agricultural Practices (GAP) in Europe are trying to ensure that no food showing signs of microbial contamination associated with production techniques are allowed onto the export market. Growers participating in exporting are thus being forced to conform to the requirements set by international customers. The aim of this study was to compile a computerized record keeping system that would aid farmers with the implementation of GAP on farms, by making use of GIS capabilities. A database, consisting of GAP-specific data was developed. ArcView GIS was used to implement the database, while customized analyses procedures through the use of Avenue assisted in GAP-specific farming related decisions. An agricultural area focusing on the export market was needed for this study, and the nut producing Levubu district was identified as ideal. By making use of ArcView GIS, distinct relationships between different data sets were portrayed in tabular, graphical, geographical and report format. GAP requirements state that growers must base decisions on timely, relevant information. With information available in the above-mentioned formats, decisions regarding actions taken can be justified. By analysing the complex interaction between datasets, the influences that agronomical inputs have on production were portrayed, moving beyond the standard requirements of GAP. Agricultural activities produce enormous quantities of data, and GIS proved to be an indispensable tool because of the ability to analyse and manipulate data with a spatial component. The implementation of good agricultural practices lends itself to the use of GIS. With the correct information available at the right time, better decisions can promote optimal croppmg, whilst rmmrrnzmg the negative effects on the consumer and environment.
AFRIKAANSE OPSOMMING: Gedurende die afgelope dekade het die gebruik van presisie boerderytegnieke tot verbeterde gewasverbouing gelei, wat verhoogde produktiwiteit en ekonomiese welvarendheid tot gevolg gehad het. 'n Wêreldwye bewustheid ten opsigte van die oordrag van siektekieme geasosieer met varsprodukte het ontstaan. Met die implementering van Hazard Analysis and Critical Control Points (HACCP) en Good Agricultural Practices (GAP), poog die VSA en Europa om voedsel wat tekens van besmetting toon van die invoermark te weerhou. Buitelandse produsente en uitvoerders word dus hierdeur gedwing om by internasionale voedselstandaarde aan te pas. Hierdie navorsing het ten doel gehad om 'n gerekenariseerde rekordhouding stelsel daar te stel wat produsente sal bystaan tydens die implementering van GAP, deur gebruik te maak van GIS. 'n Databasis gerig op die implementering van GAP is ontwerp. ArcView GIS is gebruik word om die databasis te implementeer, waarna spesifieke navrae die data ontleed het om sodoende die besluitnemingsproses te vergemaklik. 'n Landbou-area wat aktief in die uitvoermark deelneem was benodig vir dié studie, en die Levubu distrik was ideaal. Verwantskappe tussen datastelle is bepaal en uitgebeeld in tabel-, grafiek- en verslag vorm. Die suksesvolle implementering van GAP vereis dat alle besluite op relevante inligting gebaseer word, en met inligting beskikbaar in die bogenoemde formaat kan alle besluite geregverdig word. Deur die komplekse interaksie tussen insette en produksie te analiseer, was dit moontlik om verwantskappe uit te beeld wat verder strek as wat GAP vereistes stipuleer. Deur die gebruikerskoppelvlak in ArcView te verpersoonlik is die gebruiker nie belaai met onnodige berekeninge nie. Aktiwiteite soos landbou produseer groot datastelle, en die vermoë van GIS om die ruimtelike verwantskappe te analiseer en uit te beeld, het getoon dat GIS 'n instrumentele rol in die besluitnemingsproses speel. Deur middel van beter besluitneming kan optimale gewasverbouing verseker word, terwyl die negatiewe impak op die verbruiker en omgewing tot 'n minimum beperk word.
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Baca, Angel Filiberto Mansilla. « Análise da dinâmica espaço-temporal de culturas agrícolas no Brasil : uma abordagem metodológica ». Universidade do Estado do Rio de Janeiro, 2011. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=4479.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Atualmente, o Brasil se apresenta como um grande produtor agrícola mundial com finalidade alimentícia e bioenergética. Ano a ano recordes de produção são batidos pelo setor agropecuário. Por outro lado, tem-se uma perspectiva de problemas alimentícios e energéticos no mundo, em especial no continente africano onde muitos vivem na miséria e na fome. Neste contexto, esta dissertação de mestrado apresenta uma proposta para a análise da dinâmica espaço-temporal de culturas agrícolas empregando os conceitos e instrumentos da Geomática em busca do desenvolvimento sustentável. Desenvolveu-se uma metodologia para a geração de indicadores da produção agrícola em diferentes níveis da estrutura territorial brasileira que permite a apresentação sintética, por meio de cartogramas e animações digitais, das dinâmicas espacial e espaço-temporal das principais culturas. Para isto foi criada uma base de dados da produção das principais culturas, desenvolvidos indicadores que representem a dinâmica espacial da produção agrícola e desenvolvidas ferramentas de apresentação destes indicadores através da dinâmica espaço-temporal. Finalmente, foram relacionadas as áreas voltadas à produção de alimentos e de expansão agrícola para a bioenergia (etanol e óleo de palma). Pretende-se, através deste trabalho, contribuir na tomada de decisão com ferramentas de visualização da realidade agropecuária brasileira. O trabalho estabelece ligações com os zoneamentos agroecológicos, os instrumentos de segurança alimentar e a pegada ecológica, com a apresentação da produção agrícola das culturas como cana-de-açúcar, milho, soja, palma de óleo e algodão.
At present, Brazil presents itself as a major agricultural producer for food and bio-energy purposes in the entire world. Year-to-year, production records are hit by the agricultural sector. On the other hand, there is a perspective for severe problems in food and energy supply in the world, especially in Africa, where many people live in poverty and hunger. In this context, this masters dissertation presents a proposal for the analysis of the spatio-temporal dynamics of the agricultural production using the concepts and tools of Geomatics in pursuit of sustainable development. It was developed a methodology for the generation of agricultural production indicators at different levels of Brazilian territorial structure which allows the synthetic presentation, through cartograms and digital animations, of the spatial and spatio-temporal dynamics of the main crops. For this, a database of the production of main crops was created, indicators that represent the spatial dynamics of agricultural production and presentation tools for these indicators through the space-temporal dynamics were developed. Finally, the areas with focus in the food production and agricultural expansion for bio-energy (ethanol and palm oil) production were related. It is intended, through this work, to contribute to the decision making with visualization tools of the reality of Brazilian agriculture. Links were developed with agro-ecological zoning, with the instruments of food security and with the ecological footprint, with the presentation of the agricultural production of crops such as sugar cane, corn, soybeans, palm oil and cotton.
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Chriki, Sghaïer. « Méta-analyses des caractéristiques musculaires afin de prédire la tendreté de la viande bovine ». Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2013. http://tel.archives-ouvertes.fr/tel-00881204.

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Un des enjeux de la filière bovine est la maîtrise et la prédiction de la tendreté de la viande, critère important pour les consommateurs. Inscrite dans le programme européen ProSafeBeef, ma thèse avait pour objectif de mieux prédire la tendreté par méta-analyse à partir des caractéristiques biochimiques du muscle. Pour cela, mon travail de thèse s'est appuyé sur la base de données BIF-Beef regroupant des données individuelles issues de plusieurs programmes de recherche, allant de l'animal à la viande en passant par la carcasse et le muscle. Une première méta-analyse a montré que le muscle Semitendinosus (ST) est de type plus rapide glycolytique que le Longissimus thoracis (LT) chez les mâles entiers et les femelles mais pas chez les mâles castrés. Après avoir identifié par une approche par classe de tendreté les caractéristiques musculaires associées à la tendreté, nous avons montré que ces caractéristiques sont différentes entre muscles et types d'animaux. Dans le muscle LT des taurillons, la surface moyenne des fibres musculaires est la variable qui joue le principal rôle sur la tendreté sensorielle où elle explique 2% de la variabilité des notes de tendreté. Principalement dans le muscle ST, les teneurs en collagène total et insoluble et l'activité enzymatique du métabolisme glycolytique expliquent au plus 6% chacun de la variabilité de la force de cisaillement. Malgré ces faibles parts de variabilité expliquée de la tendreté, ces conclusions validées sur un grand volume de données sont importantes pour préparer de nouveaux projets visant à compléter cette démarche en prenant en compte d'autres caractéristiques telles que des biomarqueurs génomiques.
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Tůma, Milan. « Identifikace a hodnocení preferencí zákazníků u vybraného produktu ». Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2019. http://www.nusl.cz/ntk/nusl-401995.

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Finding customer preferences when deciding about buying a tractor in the 201-300 horsepower category. Attributes will be gained through questionnaire survey, and will be used in the QFD method, where there will also be comparison of major competitors in a given market segment. The evaluation of tractors will also include the voice of the customer, gained from KANO model. KANO model will be second survey that will be used in this thesis. The conclusion is to build an ideal tractor structure that matches the customer's wishes.
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Livres sur le sujet "AGRICULTURAL DATABASE"

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Khalil, Md Ibrahim. The Agricultural sector in Bangladesh : A database. 2e éd. Dhaka : USAID/Bangladesh, 1991.

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K, Mishra R. Agricultural resource database of Jharkhand, 2011-12. Ranchi : State Agricultural Management & Extension Training Institute, 2012.

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Smith, Nigel J. H., 1949- et Ozgediz Selcuk 1943-, dir. International agricultural research : A database of networks. Washington, D.C : World Bank, 1990.

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Chandel, A. S. Dynamics of agricultural biotechnology : SAARC bibliographical database. Dhaka : SAARC Information Centre, 1995.

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C, Green Robert. Program provisions for program crops : A database for 1961-90. Washington : U.S. Dept. of Agriculture, Economic Research Service, Agriculture and Trade Analysis Division, 1990.

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Chabala, Charles. The design and use of an ARPT farming systems database. Lusaka : [s.n., 1988.

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L, Bills Nelson, et New York State College of Agriculture and Life Sciences. Dept. of Agricultural Economics, dir. Utilizing a geographic information system to develop an agricultural land use database. Ithaca, N.Y : Dept. of Agricultural Economics, Cornell University Agricultural Experiment Station, New York State College of Agriculture and Life Sciences, 1988.

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Dutson, Thayne R. How a database helps the Oregon Agricultural Experiment Station describe the contributions made by research. Corvallis, Or : Oregon Agricultural Experiment Station, Oregon State University, 1995.

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India. Commission for Scientific and Technical Terminology., dir. Kr̥shi kīṭa vijñāna paribhāshā-kośa : Kampyuṭarīkr̥ta dāṭābesa = Definitional dictionary of agricultural entomology : computerised database. Naī Dillī : Vaijñānika tathā Takanīkī Śabdāvalī Āyoga, Mānava Saṃsādhana Vikāsa Mantrālaya, Śikshā Vibhāga, Bhārata Sarakāra, 1996.

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Assessment methods and standard loss database for Bangladesh : Flood loss potentials in non-agricultural sectors. Dhaka : Palok Publishers, 2005.

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Chapitres de livres sur le sujet "AGRICULTURAL DATABASE"

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Meng, Yue, et Wenkuan Chen. « Information Collection of the Agricultural Database in the Agricultural Economy ». Dans Advances in Intelligent Systems and Computing, 1560–66. Singapore : Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2568-1_217.

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Chen, Yuanzhe, Jun Kuang, Dawei Cheng, Jianbin Zheng, Ming Gao et Aoying Zhou. « AgriKG : An Agricultural Knowledge Graph and Its Applications ». Dans Database Systems for Advanced Applications, 533–37. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18590-9_81.

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Zhao, Hu, Sangen Wang et Dake Wu. « Pervasive Agricultural Environment Monitoring System Based on Embedded Database ». Dans Computer and Computing Technologies in Agriculture IV, 166–76. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18336-2_20.

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Gad, A. « A Synopsis on Egypt’s Digital Land Resources Database Serving Agricultural Development Plans ». Dans The Handbook of Environmental Chemistry, 127–63. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/698_2017_68.

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Odame, Prince Kwame, et Ebenezer Nana Kwaku Boateng. « Leveraging Spatial Technology for Agricultural Intensification to Address Hunger in Ghana ». Dans Sustainable Development Goals Series, 29–45. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05182-1_3.

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AbstractYouthMappers are using open geospatial tools in support of initiatives seeking to achieve SGD 2 Zero Hunger and SDG 1 No Poverty in Northern Ghana. Students and researchers designed survey questions and a field data collection workflow using simple but cost-effective technology to catalogue a database of farmers, properly demarcate farm sizes, and give farmers, in particular impoverished women, the opportunity to project farm yields and increase the efficiency of their output.
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Yang, Xin, Shiquan Zhong, Yuhong Li, Weiping Lu et Chaohui Wu. « Application of Background Information Database in Trend Change of Agricultural Land Area of Guangxi ». Dans Computer and Computing Technologies in Agriculture IV, 575–82. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18369-0_69.

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Agbona, Afolabi, Prasad Peteti, Béla Teeken, Olamide Olaosebikan, Abolore Bello, Elizabeth Parkes, Ismail Rabbi, Lukas Mueller, Chiedozie Egesi et Peter Kulakow. « Data Management in Multi-disciplinary African RTB Crop Breeding Programs ». Dans Towards Responsible Plant Data Linkage : Data Challenges for Agricultural Research and Development, 85–103. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13276-6_5.

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AbstractQuality phenotype and genotype data are important for the success of a breeding program. Like most programs, African breeding programs generate large multi-disciplinary phenotypic and genotypic datasets from several locations, that must be carefully managed through the use of an appropriate database management system (DBMS) in order to generate reliable and accurate information for breeding-decisions. A DBMS is essential in data collection, storage, retrieval, validation, curation and analysis in plant breeding programs to enhance the ultimate goal of increasing genetic gain. The International Institute of Tropical Agriculture (IITA), working on the roots, tubers and banana (RTB) crops like cassava, yam, banana and plantain has deployed a FAIR-compliant (Findable, Accessible, Interoperable, Reusable) database; BREEDBASE. The functionalities of this database in data management and analysis have been instrumental in achieving breeding goals. Standard Operating Procedures (SOP) for each breeding process have been developed to allow a cognitive walkthrough for users. This has further helped to increase the usage and enhance the acceptability of the system. The wide acceptability gained among breeders in global cassava research programs has resulted in improvements in the precision and quality of genotype and phenotype data, and subsequent improvement in achievement of breeding program goals. Several innovative gender responsive approaches and initiatives have identified users and their preferences which have informed improved customer and product profiles. A remaining bottleneck is the effective linking of data on preferences and social information of crop users with technical breeding data to make this process more effective.
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Gilliot, Jean-Marc, Camille Le Priol, Emmanuelle Vaudour et Philippe Martin. « Automatic Extraction of Agricultural Parcels from Remote Sensing Images and the RPG Database with QGIS/OTB ». Dans QGIS and Applications in Agriculture and Forest, 77–117. Hoboken, NJ, USA : John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457107.ch3.

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Mohamed, A. Razia, P. Vineeth Kumar, S. Abhilash, C. N. Ravishankar et Leela Edwin. « Design and Development of an Online Database Management System (AGRI-TECHBASE) : For Agricultural Technologies of ICAR ». Dans Driving the Economy through Innovation and Entrepreneurship, 869–77. India : Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-0746-7_71.

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Slikkerveer, L. Jan. « 47. INDAKS : A bibliography and database on indigenous agricultural knowledge systems and sustainable development in the tropics ». Dans The Cultural Dimension of Development, 512–16. Rugby, Warwickshire, United Kingdom : Practical Action Publishing, 1995. http://dx.doi.org/10.3362/9781780444734.047.

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Actes de conférences sur le sujet "AGRICULTURAL DATABASE"

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Chiu, Mang Tik, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Hrant Khachatrian et al. « Agriculture-Vision : A Large Aerial Image Database for Agricultural Pattern Analysis ». Dans 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.00290.

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Markova, Mihaela. « DIGITAL TRANSFORMATION - THE BASIS FOR DEVELOPMENT AGRICULTURAL BUSINESS ». Dans SUSTAINABLE LAND MANAGEMENT - CURRENT PRACTICES AND SOLUTIONS 2019. University publishing house "Science and Economics", University of Economics - Varna, 2021. http://dx.doi.org/10.36997/slm2019.186.

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In a dynamic market environment, the agrarian business follows trends for innovation, smart solutions, digital systems for precision agriculture, technology for saving resources and higher economic efficiency. The economy, of which the agricultural sector is part, is becoming a digital one. The main research objective of this development is to consider and interpret more significant aspects of the digital transformation of the economy, of which the agricultural business is a part, and to use this database to outline solutions as a factor for efficiency and development.
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Pirumova, Lidia N. « Information support of ecological security and sustainable development in agriculture ». Dans The libraries and ecological education : Theory and practice. Russian National Public Library for Science and Technology, 2022. http://dx.doi.org/10.33186/978-5-85638-255-5-2022-163-169.

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The Central Scientific Agricultural Library (CSAL) information resources in ecology and sustainable development in agriculture are reviewed. The core array of documents is integrated into AGROS database offered in the open access on the Intranet via the Library website and is accessible to the library users 24/7. The types and subject structure of AGROS database segment in ecology, environmental protection and sustainable development in agricultural industry are analyzed. The CSAL bibliographic, abstracting and full text information resources comprise the documents in ecology and sustainable development and make the system of user information awareness.
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Bunin, M. S., I. A. Kolenchenko et L. N. Pirumova. « THE INFORMATION SUPPORT OF AGRARIAN SCIENCE IN RUSSIA ». Dans БИБЛИОТЕКИ В ИНФОРМАЦИОННОМ ОБЩЕСТВЕ : СОХРАНЕНИЕ ТРАДИЦИЙ И РАЗВИТИЕ НОВЫХ ТЕХНОЛОГИЙ. ООО «Ковчег», 2020. http://dx.doi.org/10.47612/978-985-884-010-5-2020-20-30.

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The work of the FSBI Central Scientific Agricultural Library (CSAL) on library and bibliographical service of scientists and information support to researches in agriculture and food industry was analyzed. Electronic information resources including bibliographic, abstract and full text databases, electronic library posted in the Library website, mainly in open access and meeting various information demands are being created. The main information product is the AGROS database comprising above 1.9 million records from all the agrarian sector branches. Virtual forms of service applying internet technologies are used.
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Wang, Baoji, Bin He, Jinnuo Zhu, Ruiqing Xu, Caiqing Tian, Qingsheng Luo et Qingshui Liu. « A study and practice on agricultural engineering knowledge database ». Dans 2012 International Conference on Systems and Informatics (ICSAI). IEEE, 2012. http://dx.doi.org/10.1109/icsai.2012.6223531.

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Voronovich, Svetlana I., et Olga A. Lappo. « Building the authority record database «Agrarian scientists of Belarus National Academy of Sciences» within IRBIS 64+ Library Automation System ». Dans Twenty Fifth International Conference and Exhibition «LIBCOM-2021». Russian National Public Library for Science and Technology, 2022. http://dx.doi.org/10.33186/978-5-85638-247-0-2022-12-18.

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The stages of the project of authority records database «Agrarian scientists of Belarus National Academy of Sciences» are characterized. The authority file «Individual authors» was used in current cataloging and editing the Library-generated databases. The scientist’s online record in Web-IRBIS64+ is described. Belarus Agricultural Library contributes to building the corporate database «The scientists of Belarus» within its information collaboration with the National Library of the Republic of Belarus.
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Kim, ChangKug, DongSuk Park, GangSeob Lee, JiWeon Choi, HwanKi Lee et JangHo Hahn. « A Integrated Genome Database for Agricultural Crops and Web Service ». Dans 2008 Third International Conference on Convergence and Hybrid Information Technology (ICCIT). IEEE, 2008. http://dx.doi.org/10.1109/iccit.2008.46.

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Jager, Markus, Stefan Nadschlager, Trong Nhan Phan et Josef Kung. « Data, Information & ; Knowledge Sources in the Agricultural Domain ». Dans 2015 26th International Workshop on Database and Expert Systems Applications (DEXA). IEEE, 2015. http://dx.doi.org/10.1109/dexa.2015.40.

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Lian, Jianbo, et Bianfu Sun. « Study of WebGIS based on XML database and SVG ». Dans International Conference on Photonics and Image in Agricultural Engineering (PIAGENG 2010), sous la direction de Honghua Tan. SPIE, 2011. http://dx.doi.org/10.1117/12.887439.

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Klimova, Elena V. « The subject of sustainable development in FAO-supervised information resources and the role of the Central Scientific Agricultural Library ». Dans The libraries and ecological education : Theory and practice. Russian National Public Library for Science and Technology, 2022. http://dx.doi.org/10.33186/978-5-85638-255-5-2022-91-94.

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The information resources acquired through the support of the UN Food and Agriculture Organization. These resources contributing to achieving the Sustainable Development Goal (SDG) No. 2 «Zero Hunger…», are described in brief. These are FAO sections (primarily «Statistics» and «Publications»), AGRIS international database, and AGROVOC multi-language thesaurus. The role of the Central Scientific Agricultural Library in their promotion and/or development is demonstrated. The accessibility of information in Russian is assessed.
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Rapports d'organisations sur le sujet "AGRICULTURAL DATABASE"

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Jensen, Hans Grinsted, et Kym Anderson. Alternative Agricultural Price Distortions for CGE Analysis, 2007 and 2011. GTAP Research Memoranda, avril 2014. http://dx.doi.org/10.21642/gtap.rm27.

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A recent World Bank research project has generated an annual time series of distortions to agricultural incentives over the past half century for 82 countries, the majority of which are low-and middle-income countries. In this memorandum, the current GTAP version 8 Data Base may be modified to incorporate this dataset, using an Altertax simulation. The files required for this Altertax simulation, including parameter files and shock files are generated by the DAItoGTAP.tab file which will accommodate any level of aggregation of the GTAP database. In this memorandum the data files required to modify the GTAP v8.1 database can be downloaded. Data required to modify the GTAP v9 database will be available at a later date when v9 is released. Keywords: Agricultural policies, World Bank DAI database, Extensions of the GTAP database, Developing countries
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Institutions Markets, Policies. Ag-Incentives : A global database monitoring agricultural incentives and distortions to inform better policies. Washington, DC : International Food Policy Research Institute, 2021. http://dx.doi.org/10.2499/p15738coll2.134967.

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Chepeliev, Maksym. Development of the Non-CO2 GHG Emissions Database for the GTAP 10A Data Base. GTAP Research Memoranda, mars 2020. http://dx.doi.org/10.21642/gtap.rm32.

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The purpose of this note is to document data sources and steps used to develop the non-CO2 greenhouse gas (GHG) emissions database for the GTAP Data Base Version 10A. Emissions are reported for three types of non-CO2 GHGs – CH4 (methane), N2O (nitrous oxide) and the group of fluorinated gases (F-gases), and cover four reference years – 2004, 2007, 2011 and 2014. FAOSTAT dataset is used for sourcing agricultural non-CO2 emissions, EDGAR v5.0 and v4.2 databases are used to source non-agricultural emissions. Each emission flow is associated with one of the four sets of emission drivers: output by industries, endowment by industries, input use by industries and consumption by households.
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Asuncion, Ronahlee A., dir. Base of the Pyramid during the COVID-19 Pandemic : Steps to Address Widening Disparities in India. Asian Productivity Organization, février 2021. http://dx.doi.org/10.61145/phyz2058.

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This research was undertaken to show how the current gaps and weaknesses in systems for monitoring agricultural productivity in APO member countries could be addressed. The comprehensive report analyzes agricultural performance and productivity trends with data from 1961 to 2015. It paves the way for the establishment of a harmonized APO regional database on agricultural productivity indicators for benchmarking and long-term monitoring, which will help design appropriate programs to support the needs of the sector in the APO membership.
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Boysen-Urban, Kirsten, Hans Grinsted Jensen et Martina Brockmeier. Extending the GTAP Data Base and Model to Cover Domestic Support Issues using the EU as Example. GTAP Technical Paper, juin 2014. http://dx.doi.org/10.21642/gtap.tp35.

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The EU Single Farm Payment (SFP) is currently distributed in proportion to primary factor shares in version 8 of the GTAP database. In this paper, we investigate whether this way of modeling the EU SFP makes a difference in analyzing agricultural policy reforms. To do so, we create alternative versions of the GTAP database to compare the effects with the default setting in GTAP. Employing OECD data, along with the GTAP framework, we vary the assumptions about the allocation of the SFP. In the process, we demonstrate how to alter and update the GTAP database to implement domestic support of OECD PSE tables. We provide a detailed overview supplemented with assumptions of payment allocation, shock calculations and in particular, the Altertax procedure to update value flows and price equations extended in the GTAP model. Subsequently, we illustrate the impact of those assumptions by simulating a 100% removal of the SFP using the deviating versions of GTAP database. This sensitivity analysis reveals strong differences in results, but particularly in production responses of food and agricultural sectors that decrease with an increasing degree of decoupling. Furthermore, our analysis shows that the effect on welfare and the trade balance decreases with an increasing degree of decoupling. This experiment shows that the allocation of the SFP can have strong impacts on simulation results.
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Zhang, Renduo, et David Russo. Scale-dependency and spatial variability of soil hydraulic properties. United States Department of Agriculture, novembre 2004. http://dx.doi.org/10.32747/2004.7587220.bard.

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Water resources assessment and protection requires quantitative descriptions of field-scale water flow and contaminant transport through the subsurface, which, in turn, require reliable information about soil hydraulic properties. However, much is still unknown concerning hydraulic properties and flow behavior in heterogeneous soils. Especially, relationships of hydraulic properties changing with measured scales are poorly understood. Soil hydraulic properties are usually measured at a small scale and used for quantifying flow and transport in large scales, which causes misleading results. Therefore, determination of scale-dependent and spatial variability of soil hydraulic properties provides the essential information for quantifying water flow and chemical transport through the subsurface, which are the key processes for detection of potential agricultural/industrial contaminants, reduction of agricultural chemical movement, improvement of soil and water quality, and increase of agricultural productivity. The original research objectives of this project were: 1. to measure soil hydraulic properties at different locations and different scales at large fields; 2. to develop scale-dependent relationships of soil hydraulic properties; and 3. to determine spatial variability and heterogeneity of soil hydraulic properties as a function of measurement scales. The US investigators conducted field and lab experiments to measure soil hydraulic properties at different locations and different scales. Based on the field and lab experiments, a well-structured database of soil physical and hydraulic properties was developed. The database was used to study scale-dependency, spatial variability, and heterogeneity of soil hydraulic properties. An improved method was developed for calculating hydraulic properties based on infiltration data from the disc infiltrometer. Compared with the other methods, the proposed method provided more accurate and stable estimations of the hydraulic conductivity and macroscopic capillary length, using infiltration data collected atshort experiment periods. We also developed scale-dependent relationships of soil hydraulic properties using the fractal and geostatistical characterization. The research effort of the Israeli research team concentrates on tasks along the second objective. The main accomplishment of this effort is that we succeed to derive first-order, upscaled (block effective) conductivity tensor, K'ᵢⱼ, and time-dependent dispersion tensor, D'ᵢⱼ, i,j=1,2,3, for steady-state flow in three-dimensional, partially saturated, heterogeneous formations, for length-scales comparable with those of the formation heterogeneity. Numerical simulations designed to test the applicability of the upscaling methodology to more general situations involving complex, transient flow regimes originating from periodic rain/irrigation events and water uptake by plant roots suggested that even in this complicated case, the upscaling methodology essentially compensated for the loss of sub-grid-scale variations of the velocity field caused by coarse discretization of the flow domain. These results have significant implications with respect to the development of field-scale solute transport models capable of simulating complex real-world scenarios in the subsurface, and, in turn, are essential for the assessment of the threat posed by contamination from agricultural and/or industrial sources.
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Banerjee, Onil, Martin Cicowiez, Ana Rios et Cicero De Lima. Climate Change Impacts on Agriculture in Latin America and the Caribbean : An Application of the Integrated Economic-Environmental Modeling (IEEM) Platform. Inter-American Development Bank, novembre 2021. http://dx.doi.org/10.18235/0003794.

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In this paper, we assess the economy-wide impact of Climate Change (CC) on agriculture and food security in 20 Latin American and the Caribbean (LAC) countries. Specifically, we focus on the following three channels through which CC may affect agricultural and non-agricultural production: (i) agricultural yields; (ii) labor productivity in agriculture, and; (iii) economy-wide labor productivity. We implement the analysis using the Integrated Economic-Environmental Model (IEEM) and databases for 20 LAC available through the OPEN IEEM Platform. Our analysis identifies those countries most affected according to key indicators including Gross Domestic Product (GDP), international commerce, sectoral output, poverty, and emissions. Most countries experience negative impacts on GDP, with the exception of the major soybean producing countries, namely, Brazil, Argentina and Uruguay. We find that CC-induced crop productivity and labor productivity changes affect countries differently. The combined impact, however, indicates that Belize, Nicaragua, Guatemala and Paraguay would fare the worst. Early identification of these hardest hit countries can enable policy makers pre-empting these effects and beginning the design of adaptation strategies early on. In terms of greenhouse gas emissions, only Argentina, Chile and Uruguay would experience small increases in emissions.
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Hackstadt, Angela. Food Waste Legislation Scholarship : A Mapping Study. University at Albany, State University of New York, mars 2019. http://dx.doi.org/10.54014/czwu8703.

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The purpose of this study is to examine research activity on food waste legislation published in law journals to identify top sources and experts cited by recent scholarship. Searches for "food loss" and "food waste" were conducted in three legal research databases for law journal articles published between January 2013 and January 2018. The core list of selected articles consists of 13 law journal articles. The citations from each of the core articles were collected to form a database, which was analyzed to determine what kinds of resources legal scholars rely on when conducting research in food waste legislation. Government Sources and Primary Law contribute approximately 48% of the citations in the database. News, Nonprofit, and Law Reviews and Journals contribute approximately 31% of database citations. This study provides some insight into the complexity of food law and the facets of agriculture, industry, and society that affect the success of food waste reduction legislation.
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Ben-Dov, Yair, Douglass R. Miller, G. Gibson, M. Kosztarab et K. Veilleux. Computerized Synthesis of Information on the Scale Insects of the World. United States Department of Agriculture, août 2000. http://dx.doi.org/10.32747/2000.7573991.bard.

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Systematic information on all aspects of agriculture is a significant tool in finding solutions to various problems. This project was initiated to develop a searchable database on taxonomy, host plants, geographic distribution, economic importance and control of scale insects (Hemiptera: Coccoidea). A systematic database has been developed for 17 families of scale insects, namely, Aclerdidae, Asterolecaniidae, Beesoniidae, Carayonemidae, Cerococcidae, Coccidae, Conchaspididae, Dactylopiidae, Eriococcidae, Halimococcidae, Kerriidae, Lecanodiaspididae, Micrococcidae, Ortheziidae, Phenacoleachiidae, Phoenicococcidae and Pseudococcidae. These databases are now available on the Internet in ScaleNet - A Searchable Information System on Scale Insects - a Systematic Database of the Scale Insects of the World, (URL: http://www.sel.barc.usda.gov/scalenet/scalenet.htm ). Since 1997, the year in which ScaleNet was first placed on the Internet, this site became the best worldwide source of information on scale insects. The most reliable evaluation is that the site was 'visited' during 1999 by more than 50,000 users. Messages from the clientele of the site clearly indicate that it is widely used by researchers, applied entomologists, quarantine officers, students as well as the general public.
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Pena-Levano, Luis, Farzad Taheripour et Wally Tyner. Development of a GTAP Land Use Data Base for 2011. GTAP Research Memoranda, juillet 2015. http://dx.doi.org/10.21642/gtap.rm28.

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The GTAP land use data bases provide data on land cover items including accessible forest, pasture, cropland, inaccessible forest, shrubland, savannah, and build up land areas at the Agro-Ecological Zone (AEZ) level by country. In addition, they provide data on harvested area and crop production at the AEZ level by crop and country. Avetisyan et al. (2011) documented all the data sources, methods, and assumption used in developing land use data bases for 2001 and 2004. Those data sources, methods, and assumptions were used to generate a land use data base for 2007 as well (Avetisyan, Baldos, and Hertel 2011). To develop a land use data for 2011, we encountered a major obstacle. We do not have available the spatial global land cover data for 2011 by AEZ and country, which was available for the development of the previous versions of the data set (Ramankutty 2012). The gridded data base by Ramankutty (2012) cover a long time period starting from 1700 and ending in 2007. In order to solve this problem, we use the FAOSTAT data base developed by the Food and Agricultural Organization (FAO) of the United Nations. Currently, this data base provides land cover data at the country level up to 2011. Following the earlier versions of the GTAP land use data bases, we also rely on the FAOSTAT data to update the GTAP data on harvested areas and crops produced in 2011. This paper is divided into sections with each one covering a particular part of the update for land use database. Following are the main components: o Land cover development items by country, region and AEZ o Comparison in land cover data between 2004 and 2011 o Harvested area and crop production by country, region and AEZ o Crop production and harvested area by crop, region and AEZ o Changes in harvested area and crop production for 2004-2011 Thus, this document provides a complete description of a land use database and compares 2004 with 2011.
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