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Artykuły w czasopismach na temat "AGRICULTURAL DATABASE"
Bunin, M. S., I. A. Kolenchenko i L. N. Pirumova. "Digital agriculture informational resources in local and international databases". Dokuchaev Soil Bulletin, nr 108 (19.10.2021): 157–74. http://dx.doi.org/10.19047/0136-1694-2021-108-157-174.
Pełny tekst źródłaGoertzen, Melissa. "Multidisciplinary Databases Outperform Specialized and Comprehensive Databases for Agricultural Literature Coverage". Evidence Based Library and Information Practice 14, nr 2 (13.06.2019): 140–42. http://dx.doi.org/10.18438/eblip29561.
Pełny tekst źródłaMcKean, John R., R. Garth Taylor i Wen Lin Liu. "Inadequate agricultural database for American Indians?" Society & Natural Resources 8, nr 4 (lipiec 1995): 361–66. http://dx.doi.org/10.1080/08941929509380928.
Pełny tekst źródłaNgwira, Margaret. "Developing an agricultural database in Malawi". Information Development 7, nr 2 (kwiecień 1991): 89–92. http://dx.doi.org/10.1177/026666699100700207.
Pełny tekst źródłaAfxentiou, Nicolas, Phoebe-Zoe Morsink Georgali, Angeliki Kylili i Paris A. Fokaides. "Greenhouse agricultural plastic waste mapping database". Data in Brief 34 (luty 2021): 106622. http://dx.doi.org/10.1016/j.dib.2020.106622.
Pełny tekst źródłaRomaschenko, M. I., V. P. Kovalchuk, Y. O. Tarariko, Y. V. Soroka, A. V. Krucheniuk i O. S. Demchuk. "Information management system for agricultural production on the Internet". Міжвідомчий тематичний науковий збірник "Меліорація і водне господарство" 104, nr 2 (27.11.2016): 87–92. http://dx.doi.org/10.31073/mivg201602-64.
Pełny tekst źródłaWang, Shu Rong, Jin Song Zhao i Song Ze Lei. "The Research on the Intelligent Control of Geographic Information System Design to Agricultural Production". Advanced Materials Research 605-607 (grudzień 2012): 1705–9. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1705.
Pełny tekst źródłaSanches, I. D., R. Q. Feitosa, B. Montibeller, P. M. Achanccaray Diaz, A. J. B. Luiz, M. D. Soares, V. H. R. Prudente i in. "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 (24.08.2020): 251–56. http://dx.doi.org/10.5194/isprs-archives-xliii-b5-2020-251-2020.
Pełny tekst źródłaLi, Haizhou, François Pinet i Farouk Toumani. "Towards The Use of Probabilistic Spatial Relation Databases in Business Process Modeling". International Journal of Agricultural and Environmental Information Systems 6, nr 3 (lipiec 2015): 50–62. http://dx.doi.org/10.4018/ijaeis.2015070104.
Pełny tekst źródłaMohd Nizar, Nur Marahaini, Ebrahim Jahanshiri, Anil Shekar Tharmandram, Ayman Salama, Siti Sarah Mohd Sinin, Nurul Jannah Abdullah, Husna Zolkepli i in. "Underutilised crops database for supporting agricultural diversification". Computers and Electronics in Agriculture 180 (styczeń 2021): 105920. http://dx.doi.org/10.1016/j.compag.2020.105920.
Pełny tekst źródłaRozprawy doktorskie na temat "AGRICULTURAL DATABASE"
Wilson, Amanda Janice. "Database Marketing Management Strategies for Agricultural Lenders". Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/36734.
Pełny tekst źródłaMaster of Science
Francis, A. T., Razak C. Abdul i 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.
Pełny tekst źródłaThe 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).
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.
Pełny tekst źródłaMcNulty, 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.
Pełny tekst źródłaMcNulty, 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.
Pełny tekst źródłaHaslauer, 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.
Pełny tekst źródłaThe 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.
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.
Pełny tekst źródłaENGLISH 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.
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.
Pełny tekst źródłaAtualmente, 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.
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.
Pełny tekst źródłaTůma, 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.
Pełny tekst źródłaKsiążki na temat "AGRICULTURAL DATABASE"
Khalil, Md Ibrahim. The Agricultural sector in Bangladesh: A database. Wyd. 2. Dhaka: USAID/Bangladesh, 1991.
Znajdź pełny tekst źródłaK, Mishra R. Agricultural resource database of Jharkhand, 2011-12. Ranchi: State Agricultural Management & Extension Training Institute, 2012.
Znajdź pełny tekst źródłaSmith, Nigel J. H., 1949- i Ozgediz Selcuk 1943-, red. International agricultural research: A database of networks. Washington, D.C: World Bank, 1990.
Znajdź pełny tekst źródłaChandel, A. S. Dynamics of agricultural biotechnology: SAARC bibliographical database. Dhaka: SAARC Information Centre, 1995.
Znajdź pełny tekst źródłaC, 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.
Znajdź pełny tekst źródłaChabala, Charles. The design and use of an ARPT farming systems database. Lusaka: [s.n., 1988.
Znajdź pełny tekst źródłaL, Bills Nelson, i New York State College of Agriculture and Life Sciences. Dept. of Agricultural Economics, red. 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.
Znajdź pełny tekst źródłaDutson, 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.
Znajdź pełny tekst źródłaIndia. Commission for Scientific and Technical Terminology., red. 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.
Znajdź pełny tekst źródłaAssessment methods and standard loss database for Bangladesh: Flood loss potentials in non-agricultural sectors. Dhaka: Palok Publishers, 2005.
Znajdź pełny tekst źródłaCzęści książek na temat "AGRICULTURAL DATABASE"
Meng, Yue, i Wenkuan Chen. "Information Collection of the Agricultural Database in the Agricultural Economy". W Advances in Intelligent Systems and Computing, 1560–66. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2568-1_217.
Pełny tekst źródłaChen, Yuanzhe, Jun Kuang, Dawei Cheng, Jianbin Zheng, Ming Gao i Aoying Zhou. "AgriKG: An Agricultural Knowledge Graph and Its Applications". W Database Systems for Advanced Applications, 533–37. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18590-9_81.
Pełny tekst źródłaZhao, Hu, Sangen Wang i Dake Wu. "Pervasive Agricultural Environment Monitoring System Based on Embedded Database". W 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.
Pełny tekst źródłaGad, A. "A Synopsis on Egypt’s Digital Land Resources Database Serving Agricultural Development Plans". W The Handbook of Environmental Chemistry, 127–63. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/698_2017_68.
Pełny tekst źródłaOdame, Prince Kwame, i Ebenezer Nana Kwaku Boateng. "Leveraging Spatial Technology for Agricultural Intensification to Address Hunger in Ghana". W Sustainable Development Goals Series, 29–45. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05182-1_3.
Pełny tekst źródłaYang, Xin, Shiquan Zhong, Yuhong Li, Weiping Lu i Chaohui Wu. "Application of Background Information Database in Trend Change of Agricultural Land Area of Guangxi". W 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.
Pełny tekst źródłaAgbona, Afolabi, Prasad Peteti, Béla Teeken, Olamide Olaosebikan, Abolore Bello, Elizabeth Parkes, Ismail Rabbi, Lukas Mueller, Chiedozie Egesi i Peter Kulakow. "Data Management in Multi-disciplinary African RTB Crop Breeding Programs". W 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.
Pełny tekst źródłaGilliot, Jean-Marc, Camille Le Priol, Emmanuelle Vaudour i Philippe Martin. "Automatic Extraction of Agricultural Parcels from Remote Sensing Images and the RPG Database with QGIS/OTB". W 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.
Pełny tekst źródłaMohamed, A. Razia, P. Vineeth Kumar, S. Abhilash, C. N. Ravishankar i Leela Edwin. "Design and Development of an Online Database Management System (AGRI-TECHBASE): For Agricultural Technologies of ICAR". W 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.
Pełny tekst źródłaSlikkerveer, L. Jan. "47. INDAKS: A bibliography and database on indigenous agricultural knowledge systems and sustainable development in the tropics". W The Cultural Dimension of Development, 512–16. Rugby, Warwickshire, United Kingdom: Practical Action Publishing, 1995. http://dx.doi.org/10.3362/9781780444734.047.
Pełny tekst źródłaStreszczenia konferencji na temat "AGRICULTURAL DATABASE"
Chiu, Mang Tik, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Hrant Khachatrian i in. "Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis". W 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.00290.
Pełny tekst źródłaMarkova, Mihaela. "DIGITAL TRANSFORMATION - THE BASIS FOR DEVELOPMENT AGRICULTURAL BUSINESS". W 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.
Pełny tekst źródłaPirumova, Lidia N. "Information support of ecological security and sustainable development in agriculture". W 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.
Pełny tekst źródłaBunin, M. S., I. A. Kolenchenko i L. N. Pirumova. "THE INFORMATION SUPPORT OF AGRARIAN SCIENCE IN RUSSIA". W 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.
Pełny tekst źródłaWang, Baoji, Bin He, Jinnuo Zhu, Ruiqing Xu, Caiqing Tian, Qingsheng Luo i Qingshui Liu. "A study and practice on agricultural engineering knowledge database". W 2012 International Conference on Systems and Informatics (ICSAI). IEEE, 2012. http://dx.doi.org/10.1109/icsai.2012.6223531.
Pełny tekst źródłaVoronovich, Svetlana I., i Olga A. Lappo. "Building the authority record database «Agrarian scientists of Belarus National Academy of Sciences» within IRBIS 64+ Library Automation System". W 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.
Pełny tekst źródłaKim, ChangKug, DongSuk Park, GangSeob Lee, JiWeon Choi, HwanKi Lee i JangHo Hahn. "A Integrated Genome Database for Agricultural Crops and Web Service". W 2008 Third International Conference on Convergence and Hybrid Information Technology (ICCIT). IEEE, 2008. http://dx.doi.org/10.1109/iccit.2008.46.
Pełny tekst źródłaJager, Markus, Stefan Nadschlager, Trong Nhan Phan i Josef Kung. "Data, Information & Knowledge Sources in the Agricultural Domain". W 2015 26th International Workshop on Database and Expert Systems Applications (DEXA). IEEE, 2015. http://dx.doi.org/10.1109/dexa.2015.40.
Pełny tekst źródłaLian, Jianbo, i Bianfu Sun. "Study of WebGIS based on XML database and SVG". W International Conference on Photonics and Image in Agricultural Engineering (PIAGENG 2010), redaktor Honghua Tan. SPIE, 2011. http://dx.doi.org/10.1117/12.887439.
Pełny tekst źródłaKlimova, Elena V. "The subject of sustainable development in FAO-supervised information resources and the role of the Central Scientific Agricultural Library". W 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.
Pełny tekst źródłaRaporty organizacyjne na temat "AGRICULTURAL DATABASE"
Jensen, Hans Grinsted, i Kym Anderson. Alternative Agricultural Price Distortions for CGE Analysis, 2007 and 2011. GTAP Research Memoranda, kwiecień 2014. http://dx.doi.org/10.21642/gtap.rm27.
Pełny tekst źródłaInstitutions 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.
Pełny tekst źródłaChepeliev, Maksym. Development of the Non-CO2 GHG Emissions Database for the GTAP 10A Data Base. GTAP Research Memoranda, marzec 2020. http://dx.doi.org/10.21642/gtap.rm32.
Pełny tekst źródłaAsuncion, Ronahlee A., red. Base of the Pyramid during the COVID-19 Pandemic: Steps to Address Widening Disparities in India. Asian Productivity Organization, luty 2021. http://dx.doi.org/10.61145/phyz2058.
Pełny tekst źródłaBoysen-Urban, Kirsten, Hans Grinsted Jensen i Martina Brockmeier. Extending the GTAP Data Base and Model to Cover Domestic Support Issues using the EU as Example. GTAP Technical Paper, czerwiec 2014. http://dx.doi.org/10.21642/gtap.tp35.
Pełny tekst źródłaZhang, Renduo, i David Russo. Scale-dependency and spatial variability of soil hydraulic properties. United States Department of Agriculture, listopad 2004. http://dx.doi.org/10.32747/2004.7587220.bard.
Pełny tekst źródłaBanerjee, Onil, Martin Cicowiez, Ana Rios i 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, listopad 2021. http://dx.doi.org/10.18235/0003794.
Pełny tekst źródłaHackstadt, Angela. Food Waste Legislation Scholarship: A Mapping Study. University at Albany, State University of New York, marzec 2019. http://dx.doi.org/10.54014/czwu8703.
Pełny tekst źródłaBen-Dov, Yair, Douglass R. Miller, G. Gibson, M. Kosztarab i K. Veilleux. Computerized Synthesis of Information on the Scale Insects of the World. United States Department of Agriculture, sierpień 2000. http://dx.doi.org/10.32747/2000.7573991.bard.
Pełny tekst źródłaPena-Levano, Luis, Farzad Taheripour i Wally Tyner. Development of a GTAP Land Use Data Base for 2011. GTAP Research Memoranda, lipiec 2015. http://dx.doi.org/10.21642/gtap.rm28.
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