In a significant advancement for smart agriculture and precision farming, researchers at Chandigarh University have developed ...

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

Abstract: An early and reliable estimation of crop yield is essential in quantitative and financial evaluation at the field level for determining strategic plans in agricultural commodities for import ...

A Hebrew University study suggests AI tools could help growers better manage water use by predicting healthy plant behavior and flagging early signs of stress. A new Israeli study suggests that ...

Ever since the AI technology has been enabled for public use since the launch of LLMs, we’ve seen it usually work its magic majorly on our computer desks. Not saying it doesn’t apply to on-ground ...

Crop health assessment and early yield predictions are highly crucial under biotic stress conditions for crop management and market planning by farmers and policy planners. The objective of this study ...

Paden Johnson/U of A System Division of Agriculture Sam Fernandes, left, assistant professor of agricultural statistics and quantitative genetics, and Igor Fernandes, statistics and analytics master's ...

Biosciences Division and Center for Molecular Biophysics, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States ...

ABSTRACT: The aim of this article is to assist farmers in making better crop selection decisions based on soil fertility and weather forecast through the use of IoT and AI (smart farming). To ...

Machine learning (ML) models were developed for understanding the root uptake of per- and polyfluoroalkyl substances (PFASs) under complex PFAS-crop-soil interactions. Three hundred root concentration ...