Nandan Nilekani can’t stop trying to push India into the future. He started nearly 30 years ago, masterminding an ongoing ...

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

AI-driven platforms increasingly assist farmers in choosing when to plant, irrigate, fertilize, or harvest. These systems ...

"Our R&D capability and level in biotechnology still lag noticeably behind the US. This is evident in core patents. While ...

The transformation is documented in the study A Review of Drones in Smart Agriculture: Issues, Models, Trends, and Challenges ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...

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 ...

Predicting crop yield is vital for food security, economic stability, and resource efficiency. The research makes use of machine learning (ML) techniques for making crop suitability predictions by ...

Accurate almond yield prediction is essential for supporting decision-making across multiple scales, from individual growers to international markets. This is crucial in the Mediterranean region, ...

This paper investigates the application of machine learning techniques for crop yield prediction, focusing on K-Nearest Neighbors (KNN), Random Forest, and Long Short-Term Memory (LSTM) networks.

NFL Week 1 concludes with a Monday Night Football matchup at 8:15 p.m. ET between the Chicago Bears and Minnesota Vikings (-1, 43.5). Quarterback J.J. McCarthy will make his regular season debut after ...