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 ...

Tua Tagovailoa should enjoy a fantasy football fiesta in Spain on Sunday. Sam Navarro / Imagn Images Though they’re ultimately two different lenses, sports betting can provide some smart intel for ...

Enhanced prediction capability: Machine learning-based system matches and in some cases outperforms traditional forecasting systems, with particular improvements in northern Europe where conventional ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Abstract: Predicting crop yields accurately is essential to improve agricultural planning, maximize resource allocation, and ensure food security. Predictive models can help farmers and policymakers ...

The Kansas City Chiefs and Los Angeles Chargers renew their AFC West rivalry when they meet in the 2025 NFL Sao Paulo Game on Friday. Kickoff at Corinthians Arena is scheduled for 8 p.m. ET. This ...

The 2025 NFL season kicks off tonight with a key NFC East matchup between the Dallas Cowboys and the defending Super Bowl champion Philadelphia Eagles (-8, 47.5). Since 2010, Dallas and Philadelphia ...

This post explains how to use GitHub Spark to create web apps. The market today is flooded with AI-powered coding assistants — from tools that autocomplete lines of code to platforms that generate ...

Ever wondered what crop prices might be next week? This system combines historical market data with machine learning to predict crop prices across different states and districts in India. Perfect for ...

Precision agriculture (PA) is a data-driven, technology-enabled farming management strategy that monitors, quantifies, and examines the requirements of specific crops and fields. A key aim of ...