Seasonal Predictability of Four Major Crop Yields Worldwide by a Hybrid System of Dynamical Climate Prediction and Eco-Physiological Crop-Growth Simulation
نویسندگان
چکیده
منابع مشابه
Downscaling of seasonal precipitation for crop simulation
A non-homogeneous hidden Markov model (NHMM) is used to make stochastic simulations of March–August daily rainfall at 10 stations over the southeastern United States, 1923–98. Station-average observed daily rainfall is prescribed as an input to the NHMM, which is then used to disaggregate the rainfall in space. These rainfall simulations are then used as inputs to a CERES crop model for maize. ...
متن کاملCrop Growth Simulation Models
1. Introduction Systems approach has been used by engineers since the 1950's for the study of complex and dynamic processes but their use by scientists working in biological fields is relatively recent. A system is defined as any well delineated part of reality which may contain a number of interrelated elements forming the systems structure. These functioning components interact in various way...
متن کاملClimate Change and Crop Yields in Iran and Other OIC Countries
Climate change is the main phenomenon that directly affects the world environment, and changes in the environment affect economic sectors differently. The most important impacts of climate change would be on enhancing the average global temperature and the decrease in precipitation. The agricultural sector is the first and most affected sector in the climate change. We examined the impact of te...
متن کاملImproved Regional Yield Prediction by Crop Growth Monitoring System Using Remote Sensing Derived Crop Phenology
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...
متن کاملOperational Prediction of Crop Yields Using Modis Data and Products
Official crop progress, condition and production estimates for the United States are responsibilities of the U.S. Department of Agriculture’s, National Agricultural Statistics Service (NASS). In addition to weekly and monthly survey-based data, biweekly composite maps of the normalized difference vegetation index (NDVI) from the NOAA AVHRR sensor (1 km resolution) are produced by NASS’s Researc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Sustainable Food Systems
سال: 2020
ISSN: 2571-581X
DOI: 10.3389/fsufs.2020.00084