AI in Agriculture: 4 Key Innovations for Farmers Discover four ways AI can aid proactive crop management tactics and result in more productive crops.

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...

Increase agricultural productivity in India using machine learning-based crop recommendation systems for improved yields and ...

The southwest monsoon, a lifeline for Indian agriculture, has ushered in a promising 2025 season with forecasts of ...

Dr. Y.S.R. Horticultural University excels in research, education, and innovation, contributing significantly to Andhra ...

TNAU partners with Valyria Visions for AI-driven maize trait prediction, advancing precision agriculture for sustainable food production.

The cool, wet weather of June in north central Wisconsin has caused crop development to be a bit behind schedule.

In partnership with the Indian Institute of Science (IISc) and Wadhwani AI, Google is developing foundational AI models ...

By Dr. Tariq Iqbal The agricultural sector of Jammu and Kashmir, once predominantly traditional, is undergoing a quiet yet ...

As we head into the summer and fall seasons, here is an outlook from a water management perspective. The National Weather ...