A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

This article is authored by Suman S, director, Rural Livelihoods, Dr. Reddy’s Foundation and Mukesh Kestwal, chief innovation officer, IIT Ropar (i-Hub-AWaDH).

Ludhiana: The College of Horticulture and Forestry at Punjab Agricultural University (PAU) held a high-level expert session today, urging students to .

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.

The final, formatted version of the article will be published soon. Accurate crop yield prediction is a cornerstone for food security, agricultural planning, and evidence-based policy design. In this ...

Overview: AI helps farmers make accurate decisions using real-time data from soil, weather, and crops.Precision farming reduces waste, lowers costs, and improve ...

Robots are rapidly moving beyond pre-programmed automation into a new era of adaptive, learning-driven autonomy. At the center of this ...

Production-ready machine learning system that predicts bike rental demand using real-world public APIs and historical data. Built with Docker-first architecture for seamless deployment, the system ...

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 ...

A comprehensive machine learning system for predicting crop yields based on environmental and agricultural factors including NDVI, precipitation, temperature, and soil properties.

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, ...