Crop modelling and remote sensing for yield prediction
نویسندگان
چکیده
منابع مشابه
Regional crop yield forecasting using probabilistic crop growth modelling and remote sensing data assimilation
Information on the outlook of yield and production of crops over large regions is essential for government services dealing with import and export of food crops, for agencies playing a role in food relief, for international organisations with a mandate in monitoring the world food production and trade, as well as for commodity traders. In Europe, such information is provided by the MARS (Monito...
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Monitoring crop condition and production estimates at the state and county level is of great interest to the U.S. Department of Agriculture. The National Agricultural Statistical Service (NASS) of the U.S. Department of Agriculture conducts field interviews with sampled farm operators and obtains crop cuttings to make crop yield estimates at regional and state levels. NASS needs supplemental sp...
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Dynamic process-based crop simulation models are useful tool in predicting crop growth and yield in response to environmental and cultural factors but are constrained by lack of availability of the required large number of inputs when applied for regional studies. In this study we report (a) development of a prototype Crop Growth Monitoring System (CGMS) for wheat using WTGROWS simulation model...
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Accurate and timely information on rice crop growth and yield helps governments and other stakeholders adapting their economic policies, enables relief organizations to better anticipate and coordinate relief efforts in the wake of a natural catastrophe, and provides technical backbone of an insurance solution where risks of yield losses from the rice smallholders are transferred to the insuran...
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ژورنال
عنوان ژورنال: Netherlands Journal of Agricultural Science
سال: 1995
ISSN: 0028-2928
DOI: 10.18174/njas.v43i2.573