Reliable and timely crop-yield prediction and crop mapping are crucial for food security and
decision making in the food industry and in agro-environmental management. The global …

Predicting crop yield before harvest and understanding the factors determining yield at a
regional scale is vital for global food security, supply chain management in agribusiness …

Large-scale crop monitoring and yield estimation are important for both scientific research
and practical applications. Satellite remote sensing provides an effective means for regional …

Developing an accurate crop yield predicting system at a large scale is of paramount
importance for agricultural resource management and global food security. Earth …

Probability distributions of crop yields are important for understanding technological change,
the effects of weather on crop production, and production risk. It can be difficult to model …

Remote sensing derived datasets (eg Leaf Area Index (LAI)) are increasingly being used in
process based cropping system models to improve the prediction skill of the simulations …

This research presents a bibliometric analysis of articles predicting crop yield using machine
learning methods. While several systematic review articles exist, a comprehensive …

Large-scale crop yield estimation is important for understanding the response of agriculture
production to environmental forces and management practices, and plays a critical role in …

The timely and reliable prediction of crop yields on a larger scale is crucial for ensuring a
stable food supply and food security. In the last few years, many studies have demonstrated …

The theory of the natural hedge states that agricultural yields and prices are inversely
related. Actuarial rules for US crop revenue insurance assume that dependence between …