Seasonal crop yield forecast: Methods, applications, and accuracies
The perfect knowledge of yield before harvest has been a wish puzzling human being since
the beginning of agriculture because seasonal forecast of crop yield plays a critical role in …
the beginning of agriculture because seasonal forecast of crop yield plays a critical role in …
A regional comparison of factors affecting global sorghum production: The case of North America, Asia and Africa's Sahel
Understanding the dynamics of food production is critical to improving food security. This is
particularly important in regions that rely on subsistence agriculture with little adaptive …
particularly important in regions that rely on subsistence agriculture with little adaptive …
Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt
This study investigates whether coupling crop modeling and machine learning (ML)
improves corn yield predictions in the US Corn Belt. The main objectives are to explore …
improves corn yield predictions in the US Corn Belt. The main objectives are to explore …
The DSSAT crop modeling ecosystem
1 Introduction Traditionally, research for agricultural development and improvement is based
on small plot experiments that are conducted for multiple years on a research station and, on …
on small plot experiments that are conducted for multiple years on a research station and, on …
Evidence of crop production losses in West Africa due to historical global warming in two crop models
Achieving food security goals in West Africa will depend on the capacity of the agricultural
sector to feed the rapidly growing population and to moderate the adverse impacts of climate …
sector to feed the rapidly growing population and to moderate the adverse impacts of climate …
Forecasting corn yield with machine learning ensembles
The emergence of new technologies to synthesize and analyze big data with high-
performance computing has increased our capacity to more accurately predict crop yields …
performance computing has increased our capacity to more accurately predict crop yields …
Climate change impacts and adaptation strategies for crops in West Africa: a systematic review
Abstract Agriculture in West Africa faces the challenge of meeting the rising demand for food
as national incomes and populations increase while production becomes more uncertain …
as national incomes and populations increase while production becomes more uncertain …
Review of seasonal climate forecasting for agriculture in sub-Saharan Africa
We review the use and value of seasonal climate forecasting for agriculture in sub-Saharan
Africa (SSA), with a view to understanding and exploiting opportunities to realize more of its …
Africa (SSA), with a view to understanding and exploiting opportunities to realize more of its …
Cereal yield forecasting with satellite drought-based indices, weather data and regional climate indices using machine learning in Morocco
Accurate seasonal forecasting of cereal yields is an important decision support tool for
countries, such as Morocco, that are not self-sufficient in order to predict, as early as …
countries, such as Morocco, that are not self-sufficient in order to predict, as early as …
[HTML][HTML] Crop yield prediction using MODIS LAI, TIGGE weather forecasts and WOFOST model: A case study for winter wheat in Hebei, China during 2009–2013
Timely and reliable in-season forecasting of crop yield is crucial for regional and national
agricultural management. To improve the winter wheat yield prediction accuracy at the …
agricultural management. To improve the winter wheat yield prediction accuracy at the …