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Dissertations / Theses on the topic 'Crop forecasting'

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1

McVean, Ross Iolo Kester. "Forecasting pea aphid outbreaks." Thesis, University of East Anglia, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389386.

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2

Stephens, David J. "Crop yield forecasting over large areas in Australia." Thesis, Stephens, David J (1995) Crop yield forecasting over large areas in Australia. PhD thesis, Murdoch University, 1995. https://researchrepository.murdoch.edu.au/id/eprint/51647/.

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Inter-annual variations in crop yield are intricately linked to fluctuations in the weather. Accurate yield forecasts prior to harvest are possible if crop-weather relationships are integrated into models that are responsive to the major yield determining factors. A network of meteorological stations was selected across the Australian wheat belt and monthly rainfall regressed with wheat yields from the surrounding shires. Autumn rains that permit an early sowing and finishing rains after July are important for higher yields. As the rainfall distribution becomes more winter dominant in natu
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3

Kantanantha, Nantachai. "Crop decision planning under yield and price uncertainties." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/24676.

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Thesis (Ph.D.)--Industrial and Systems Engineering, Georgia Institute of Technology, 2007.<br>Committee Co-Chair: Griffin, Paul; Committee Co-Chair: Serban, Nicoleta; Committee Member: Liang, Steven; Committee Member: Sharp, Gunter; Committee Member: Tsui, Kwok-Leung
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4

Orlowski, Jan Alexander Kazimierz. "The ENSO Cycle and Predictability of US Crop Yields." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17166.

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While the impacts of the El Nino Southern Oscillation (ENSO) are well documented on topics ranging from agricultural production to socio-economic factors, a closer consideration of key interaction terms in this complex relationship is pivotal for better understanding of future production impacts and as well as relevant policy implications. In this thesis, the ENSO link to staple crop production in the US is derived through an econometric approach, in particular taking advantage of recent advances in the nonlinear parameterization of climate variables such as temperature. Via the comparison of
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5

Eggerman, Christopher Ryan. "Projecting net incomes for Texas crop producers: an application of probabilistic forecasting." Texas A&M University, 2006. http://hdl.handle.net/1969.1/4134.

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Agricultural policy changes directly affect the economic viability of Texas crop producers because government payments make up a significant portion of their net farm income (NFI). NFI projections benefit producers, agribusinesses and policy makers, but an economic model making these projections for Texas did not previously exist. The objective of this study was to develop a model to project annual NFI for producers of major crops in Texas. The Texas crop model was developed to achieve this objective, estimating state prices, yields and production costs as a function of their national counterp
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6

Teo, Chee-Kiat. "Application of satellite-based rainfall estimates to crop yield forecasting in Africa." Thesis, University of Reading, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.434333.

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7

Osman, E. M. H. "Crop yield forecasting at national and regional levels using remote sensing techniques." Thesis, Cranfield University, 2003. http://dspace.lib.cranfield.ac.uk/handle/1826/11058.

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Crop yield forecasting models are needed to help farmers and decision makers cheaply detect crop condition early enough to assess and mitigate its impacts on grain production. A precise estimate of crop production requires an accurate measure of the total cultivated area and well-established knowledge of crop yield. The first requirement is no longer a problem as is technically solved through various techniques such as area frame sampling. With respect to the second, great efforts have been made to find an accurate definition of the crop yield with respect to the actual factors that shape its
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8

Osman, El Mamoun H. "Crop yield forecasting at national and regional levels using remote sensing techniques." Thesis, Cranfield University, 2003. http://dspace.lib.cranfield.ac.uk/handle/1826/11058.

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Crop yield forecasting models are needed to help farmers and decision makers cheaply detect crop condition early enough to assess and mitigate its impacts on grain production. A precise estimate of crop production requires an accurate measure of the total cultivated area and well-established knowledge of crop yield. The first requirement is no longer a problem as is technically solved through various techniques such as area frame sampling. With respect to the second, great efforts have been made to find an accurate definition of the crop yield with respect to the actual factors that shape its
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9

Soares, Abilio Barros. "Crop Price and Land Use Change: Forecasting Response of Major Crops Acreage to Price and Economic Variables in North Dakota." Thesis, North Dakota State University, 2015. https://hdl.handle.net/10365/27685.

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The objective of this study is to examine land use change for cropping systems in North Dakota. Using Seemingly Unrelated Regression with full information maximum likelihood estimation method, acreage forecasting models for barley, corn, oats, soybean, and wheat were developed to examine the extent to which farmers? expectations of prices and costs affect their crop choices. The results of the study show that farmers? decision for acreage allocation is varied across the crops depending on how responsive they are to price, cost and yield of its own and competing crops. Substitutability and comp
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10

Johnson, Michael David. "Crop yield forecasting on the Canadian Prairies by satellite data and machine learning methods." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/45281.

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The production of grain crops plays an important role in the economy of the Canadian Prairies and early reliable crop yield forecasts over large areas would help policy makers and grain marketing agencies in planning for exports. Forecast models developed from satellite data have the potential to provide quantitative and timely information on agricultural crops over large areas. The use of nonlinear modeling techniques from the field of machine learning could improve crop forecasting from the linear models most commonly used today. The Canadian Prairies consist of the provinces of Alberta, Sas
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11

Higgins, Sarah. "Limitations to seasonal weather prediction and crop forecasting due to nonlinearity and model inadequacy." Thesis, London School of Economics and Political Science (University of London), 2015. http://etheses.lse.ac.uk/3191/.

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This Thesis examines the main issues surrounding crop modelling by detailed studies of (i) multi-model ensemble forecasting using a simple dynamical system as a proxy for seasonal weather forecasting, (ii) probabilistic forecasts for crop models and (iii) an analysis of changes in US yield. The ability to forecast crop yield accurately on a seasonal time frame would be hugely beneficial to society in particular farmers, governments and the insurance industry. In addition, advance warning of severe weather patterns that could devastate large areas of crops would allow contingency plans to be pu
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12

Bregaglio, S. U. M. "DEFINITION AND IMPLEMENTATION OF PLANT DISEASE SIMULATION MODELS IN INTERACTION WITH CROP MODELS, AIMING AT FORECASTING THE IMPACT OF CLIMATE CHANGE SCENARIOS ON CROP PRODUCTION." Doctoral thesis, Università degli Studi di Milano, 2012. http://hdl.handle.net/2434/170256.

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The impacts of a changing climate on the social and economic development of humanity have been increasingly studied in the last decades. According to the Intergovernmental Panel on Climate Change (IPCC), the lack of implementation of effective and adequate measures for contrasting green house gases emissions will lead to increasingly severe and partially irreversible impacts on the environment, and consequently on the society. The estimate of possible impacts on food production, starting from agriculture, is essential to develop strategies to alleviate the consequences of climate change. In th
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Biot, Y. "Forecasting productivity losses caused by sheet and rill erosion in semi arid rangeland : A case study from communal areas of Botswana." Thesis, University of East Anglia, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383247.

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14

Dinh, Thi Lan Anh. "Crop yield simulation using statistical and machine learning models. From the monitoring to the seasonal and climate forecasting." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS425.

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La météo et le climat ont un impact important sur les rendements agricoles. De nombreuses études basées sur différentes approches ont été réalisées pour mesurer cet impact. Cette thèse se concentre sur les modèles statistiques pour mesurer la sensibilité des cultures aux conditions météorologiques sur la base des enregistrements historiques. Lors de l'utilisation d'un modèle statistique, une difficulté critique survient lorsque les données sont rares, ce qui est souvent le cas pour la modélisation des cultures. Il y a un risque élevé de sur-apprentissage si le modèle n'est pas développé avec c
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15

Onpraphai, Thaworn, and n/a. "Information systems for regional sugar cane production forecasting and localised yield estimation: a Thailand perspective." University of Canberra. Resource, Environmental & Heritage Sciences, 2004. http://erl.canberra.edu.au./public/adt-AUC20060517.142422.

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Sugar is an important global agricultural commodity and a significant input to the advanced industrialised world. Annual average global sugar production is around 120 million tonnes, with consumption around 118 million tonnes. Sugar is produced under a broad range of climatic conditions in some 120 countries and is one of the most heavily traded agricultural commodities (FAO, 2001). Plants produce sugar as a storehouse of energy that is used as required. Approximately 70% of sugar is produced from sugar cane while the remaining 30% is produced from sugar beet (Sugar Knowledge International, 20
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Makaudze, Ephias M. "Do seasonal climate forecasts and crop insurance really matter for smallholder farmers in Zimbabwe? Using contingent valuation method and remote sensing applications." Connect to this title online, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1110389049.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains xiii, 155 p.; also includes map, graphics (some col.) Includes bibliographical references (p. 149-155). Available online via OhioLINK's ETD Center
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Mengue, Vagner Paz. "Avaliação da dinâmica espectro-temporal visando o mapeamento da soja e arroz irrigado no Rio Grande do Sul." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/87991.

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Uma das atividades mais relevantes para a economia brasileira é a agricultura. Entre os produtos de maior importância no cenário agrícola nacional, estão a soja e o arroz, os quais representam uma grande parcela da produção. Somente o Estado do Rio Grande do Sul é responsável por aproximadamente 67% da produção nacional de arroz e 10% de soja (IBGE, 2012). Portanto, informações confiáveis sobre a produção agrícola são relevantes para o desenvolvimento do setor e o desenvolvimento de metodologias capazes de auxiliar no monitoramento das áreas agrícolas torna-se peça importante na geração de dad
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18

Pagani, V. "INTEGRATION OF COMPONENTS FOR THE SIMULATION OF BIOTIC AND ABIOTIC STRESSES IN MODEL-BASED YIELD FORECASTING SYSTEMS." Doctoral thesis, Università degli Studi di Milano, 2017. http://hdl.handle.net/2434/487500.

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The raising global demand for agricultural products and the exacerbated inter-annual fluctuations of food productions due to climate change are increasing world food price volatility and threatening food security in developing countries. In this context, the availability of reliable operational yield forecasting systems would allow policy makers to regulate agricultural markets. However, the reliability of the current approaches (the most sophisticated being based on crop models) is undermined by different sources of uncertainty. In particular, large area simulations can be affected by errors
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19

Duarte, Yury Catalani Nepomuceno. "Modelos de simulação da cultura do milho - uso na determinação das quebras de produtividade (Yield Gaps) e na previsão de safra da cultura no Brasil." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-15052018-104958/.

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Sendo o cereal mais produzido no mundo e em larga expansão, os sistemas de produção de milho são altamente complexos e sua produção é diretamente dependente de fatores ligados tanto ao clima local quanto ao manejo da cultura. Para auxiliar na determinação tanto dos patamares produtivos de milho quanto quantificar o impacto causado por condições adversas tanto de clima quanto de manejo, pode-se lançar mão do uso de modelos de simulação de culturas. Para que os modelos possam ser devidamente aplicados, uma base solida de dados meteorológicos deve ser consistida, a fim de alimentar esses modelos.
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20

Ramme, Fernando Luiz Prochnow. "Perfis temporais NDVI e sua relação com diferentes tipos de ciclos vegetativos da cultura da cana-de-açucar." [s.n.], 2008. http://repositorio.unicamp.br/jspui/handle/REPOSIP/256990.

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Orientadores: Rubens Augusto Camargo Lamparelli, Jansle Vieira Rocha<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Agricola<br>Made available in DSpace on 2018-08-12T21:23:17Z (GMT). No. of bitstreams: 1 Ramme_FernandoLuizProchnow_D.pdf: 9393591 bytes, checksum: a6d5183861f5be0ab0ed23ba7a8838da (MD5) Previous issue date: 2008<br>Resumo: O objetivo do trabalho foi avaliar a relação entre as fases do crescimento da cana-de-açúcar com as formas de curvas do perfil temporal do Índice de Vegetação por Diferença Normalizada - NDVI, obtidas a partir do sensor remo
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21

Vagh, Yunous. "Mining climate data for shire level wheat yield predictions in Western Australia." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2013. https://ro.ecu.edu.au/theses/695.

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Climate change and the reduction of available agricultural land are two of the most important factors that affect global food production especially in terms of wheat stores. An ever increasing world population places a huge demand on these resources. Consequently, there is a dire need to optimise food production. Estimations of crop yield for the South West agricultural region of Western Australia have usually been based on statistical analyses by the Department of Agriculture and Food in Western Australia. Their estimations involve a system of crop planting recommendations and yield predictio
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Guinan, Patrick E. "Seasonally adjusted index for projecting agricultural drought /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p3164510.

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23

Twengström, Eva. "Epidemiology and forecasting of Sclerotinia stem rot on spring sown oilseed rape in Sweden /." Uppsala : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 1999. http://epsilon.slu.se/avh/1999/91-576-5722-X.pdf.

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24

Lemaire, Gilles Joseph. "Cinetique de croissance d'un peuplement de fetuque elevee (festuca arundinacea schreb. ) pendant l'hiver et le printemps : effets des facteurs climatiques." Caen, 1985. http://www.theses.fr/1985CAEN2028.

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L'action des facteurs climatiques sur la croissance d'un peuplement de fetuque elevee (festuca arundinacea schreb). A ete etudiee au moyen de deux approches complementaires: une approche agronomique qui a permis de proposer un modele de prevision de la croissance printaniere du peuplement vegetal. Ce modele permet de relier la precocite de croissance et la vitesse de croissance et la vitesse de croissance aux deux facteurs climatiques essentiels (temperature et rayonnement), une approche ecophysiologique qui a cherche a analyser les mecanismes d'action des facteurs climatiques sur les composan
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(9777347), Nicholas Anderson. "Forecasting of the mango crop: Quantity and quality." Thesis, 2017. https://figshare.com/articles/thesis/Forecasting_of_the_mango_crop_Quantity_and_quality/13444388.

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Precision management of the mango crop can be aided by quantitative measures of indices relevant to fruit maturation and measurement of the fruit load per tree. Such measures address fruit quantity and quality, respectively. Mango fruit DM at harvest is an index of ripened fruit eating quality of ripened fruit, and DM is also useful in assessment of the stage of maturation of the fruit. This thesis considered the robustness of NIR spectroscopy based DM models for use with fruit from different harvest events and of five cultivars (Calypso™, Honey Gold, Keitt, Kensington Pride and R2E2), from tw
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Adhikari, Murali. "Forecasting crop water demand structural and time series analysis /." 2004. http://purl.galileo.usg.edu/uga%5Fetd/adhikari%5Fmurali%5F200408%5Fms.

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27

Schepen, Andrew David. "Harnessing seasonal GCM forecasts for crop yield forecasting through multivariate forecast post-processing methods." Thesis, 2019. https://researchonline.jcu.edu.au/61205/2/JCU_61205_Schepen_2019_Thesis.pdf.

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Seasonal climate forecasts may be coupled with crop models to provide quantitative forecasts of crop yield, assess sensitivity to farm management decisions and manage risk associated with seasonal climate variability. Today, seasonal climate forecasts are produced by computationally expensive, physically-based global climate models, which capture large-scale climate patterns well. However, their coarse spatial resolution (typically >50km) means they do not reliably depict daily weather at sub-grid locations, limiting their direct use in crop models. Consequently, operational crop forecasting s
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Hsin, Yu-Chen, and 辛昱辰. "CRISP-DM to The Forecasting Model of Crop Price and Yield¬-A Case Study of Cabbage." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/14732816292073089644.

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碩士<br>輔仁大學<br>統計資訊學系應用統計碩士班<br>100<br>As the increase of the economy, wages and consumer price, the pressure of Inflation causes production and marketing cost to increase. In addition, after joined the WTO, Taiwan faced the trend of trade liberalization, and had to compete against the whole world, this situation lead Taiwan to be confronted with a significant challenges. Therefore, to get correct and useful information, and grasp the changes of market supply and demand are able to react the changes in market. This study took cabbage for example, under the situation that full of uncertainty in
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ORLANDO, FRANCESCA. "Assessment of weather impact on Durum wheat and forecasting of grain yield and quality." Doctoral thesis, 2013. http://hdl.handle.net/2158/803894.

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The current study focused on forecasting and monitoring of durum wheat productions in Val d’Orcia (Tuscany region), with the following objectives: Objective 1. Evaluate the impact of temperature and water conditions on grain yield and GPC. Objective 2. Assess the performance of the complex crop model CERES-Wheat in the simulation of yield and GPC and in determining of key growth stages and of weather variables with greatest effect on the harvest. Objective 3. Revisit the algorithms adopted by CERES-Wheat for GPC simulation and carry out a diagnosis to trace the model deficiencies. Objective 4
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Wolfaardt, Petrus Jacobus. "Interskakeling van LANDSAT-syferdata en landboustatistiek vir die Vermaasontwikkelingsgebied." Thesis, 2014. http://hdl.handle.net/10210/10614.

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D.Litt. et Phil. (Geography)<br>The aim of this study is to integrate LANDSAT multispectral digital data with agricultural statistics, to analyse, explain and forecast the spatial variation of crop production in the Vermaas development area (south of Lichtenburg, Western Transvaal). This aim answers the urgent need for a reliable agricultural data base that can be quickly and cheaply obtained and used for the timely planning of an environment's limited agricultural resources. With such a data base available, early decisions about imports and exports can be taken in connection with the expected
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BONFATTI, Andrea. "A micro-macro approach to commodity market analysis:risk, structural modelling and forecasting." Doctoral thesis, 2012. http://hdl.handle.net/11562/396542.

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Questo studio concerne l’analisi dei mercati delle materie prime da una prospettiva sia micro che macroeconomica e si compone di tre parti. Nella prima parte vengono analizzate le strategie di gestione ex-ante del rischio, in particolare la selezione di un portafoglio diversificato di colture, messe in atto in paesi poveri da famiglie produttrici fortemente dipendenti per la loro sussistenza dalla produzione di materie prime agricole. A tal fine, viene specificato un modello di portafoglio da cui si ottengono stime strutturali dei parametri relativi alla tecnologia, al consumo e alle prefere
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Lu, Weixun. "Multi-risk modeling for improved agriculture decision-support: predicting crop yield variability and gaps due to climate variability, extreme events, and disease." Thesis, 2020. http://hdl.handle.net/1828/12130.

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The agriculture sectors in Canada are highly vulnerable to a wide range of inter-related weather risks linked to seasonal climate variability (e.g., El Ni ̃no Southern Oscillation(ENSO)), short-term extreme weather events (e.g., heatwaves), and emergent disease(e.g., grape powdery mildew). All of these weather-related risks can cause severe crop losses to agricultural crop yield and crop quality as Canada grows a wide range of farm products, and the changing weather conditions mainly drive farming practices. This dissertation presents three machine learning-based statistical models to assess
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Bezuidenhout, Carel Nicolaas. "Development and evaluation of model-based operational yield forecasts in the South African sugar industry." Thesis, 2005. http://hdl.handle.net/10413/5336.

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South Africa is the largest producer of sugar in Africa and one of the ten largest sugarcane producers in the world. Sugarcane in South Africa is grown under a wide range of agro-climatic conditions. Climate has been identified as the single most important factor influencing sugarcane production in South Africa. Traditionally, sugarcane mill committees have issued forecasts of anticipated production for a region. However, owing to several limitations of such committee forecasts, more advanced technologies have had to be considered. The aim of this study has been to develop, evaluate and implem
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Rizzon, Dominick Brian. "Forecasting profits and production feasibility of emerging North Carolina energy crops." 2009. http://www.lib.ncsu.edu/theses/available/etd-07312009-155208/unrestricted/etd.pdf.

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Костров, М. С. "Дослідження та прогнозування кон’юнктури товарного ринку (на прикладі ринку зерна)". Thesis, 2019. http://dspace.oneu.edu.ua/jspui/handle/123456789/11230.

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У роботі розглядаються теоретичні аспекти дослідження та прогнозування кон’юнктури ринку, узагальнене поняття ринкової кон’юнктури, визначені особливості товарного ринку, розглянуті основні методики дослідження та прогнозування кон’юнктури ринку. Виявлені різновиди та структура ринку зерна. Проведено аналіз кон’юнктури ринку зерна. Визначені основні суб’єкти на ринку зерна. Проаналізовано кон’юнктуру ринку зерна в Україні. Приведена загальна характеристика кон’юнктурних змін на світовому ринку зерна, позиції та перспективи України. Визначені проблеми розвитку зернового ринку України.
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Lai, Sin-Hong, and 賴信宏. "Population Fluctuation and Forecasting Model for Brown Planthopper on Rice Crops in Taiwan." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/16460699195691460884.

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博士<br>國立中興大學<br>農藝學系所<br>103<br>The brown planthopper (Nilaparvata lugens, Stal) is an important pest insect which affects rice production in Taiwan. Incorrect control strategies will reduce the quality and yield of rice crops. The most commonly used traps to monitor the migration of brown planthoppers in Taiwan are light traps and air borne net traps placed in the rice field. Other sampling methods include visual counting and sweep net counts in monitored fields after transplanting. The population abundance is an important issue because it affects the rice yielding loss. As usual, data on the
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Тарасов, Є. А. "Шляхи підвищення конкурентоспроможності підприємства (на прикладі ДП «Адідас-Україна»)". Thesis, 2019. http://dspace.oneu.edu.ua/jspui/handle/123456789/11255.

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У роботі розглядаються сутність конкурентоспроможності підприємства, методи оцінки конкурентоспроможності підприємства, аналіз основних чинників та напрямів підвищення конкурентоспроможності підприємства, надається загальна характеристика торгівельного підприємства ДП «Адідас-Україна»; проаналізовано фінансовий стан підприємства; пропонуються шляхи підвищення конкурентоспроможності; надано оцінку економічної ефективності запропонованих заходів.<br>Thesis consists of three chapters. Object of study is the process of taking place in the grain market in Ukraine, its modern state and prospe
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Jong, Bor-Ting. "Seasonality and Regionality of ENSO Teleconnections and Impacts on North America." Thesis, 2019. https://doi.org/10.7916/d8-b160-hd60.

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The El Niño – Southern Oscillation (ENSO) has far-reaching impacts across the globe and provides the most reliable source of seasonal to interannual climate prediction over North America. Though numerous studies have discussed the impacts of ENSO teleconnections on North America during boreal winter, it is becoming more and more apparent that the regional impacts of ENSO teleconnections are highly sensitive to the seasonal evolution of ENSO events. Also, the significant impacts of ENSO are not limited to the boreal winter seasons. To address these knowledge gaps, this thesis examines the seaso
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