AI model enables early wheat yield prediction, aiding farm decisions

Scientists have developed AI-based system that can predict wheat yields early and with high accuracy using handheld field ...
Phys.org

This odd little plant could help turbocharge crop yields

Improving photosynthetic efficiency even modestly could increase crop yields while reducing agriculture's environmental footprint—a crucial goal as the world works toward more sustainable food ...
Frontiers

UAV multispectral sensing and data-driven modeling for precision onion yield prediction

Orthomasaic map overlaid with field shapefiles and vegetation index layers, along with extracted zonal statistics for each plot. Figure 4 Workflow diagram illustrating the complete methodology adopted ...
IEEE

AI Technologies to Significantly Reduce Routine Work, Drive Autonomous Power, and Institute Adaptive Therapeutics in 2026

Los Alamitos, California, January 29, 2026 — IEEE, the world’s largest technical professional organization and a public charity dedicated to advancing technology for humanity, together with the IEEE ...
IEEE

In-Season Corn Yield Prediction Using Satellite-Derived Solar-Induced Chlorophyll Fluorescence and Machine Learning Algorithms

Abstract: Accurate in-season crop yield prediction is critical for timely agricultural decision-making, food security, and climate-resilient farm management. This study presents a framework for ...
Scientific Research Publishing

Crane-Droesch, A. (2018) Machine Learning Methods for Crop Yield Prediction and Climate Change Impact Assessment in Agriculture. Environmental Research Letters, 13, Article ID ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...
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 ...