Nature

Wheat yield prediction using integrated optical and radar remote sensing with machine learning across key phenological stages

Wheat (Triticum aestivum L.) is a cornerstone of global food security, serving as a vital staple crop for billions of people around the world. Agriculture consumes over 70% of global freshwater ...
Nature

Sustainable regional corn yield prediction for the United States through interpretable machine learning approach

Considering crop yield prediction as critical to optimizing agricultural practices and food security, this question is critical to U.S. agricultural planning and regional food security; relevant ...
Devdiscourse

Smart Farms, Hungry World: Can AI Deliver the Next Green Revolution?

AI offers a different operating model for agriculture. Instead of relying only on periodic human observation or ...
EurekAlert!

AI-driven UAV model transforms wheat yield prediction

Wheat is a staple crop for more than 40% of the world’s population, and boosting its productivity remains one of the most effective ways to combat food insecurity. Traditionally, estimating yield has ...
EurekAlert!

Machine learning offers growers a new tool for predicting crop water use

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...