Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

Royal Praveen D’Souza, assistant dean of School of Information Science and Technology and Chairperson of AI and Management ...

Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...

A research team has developed a method for improving crop growth monitoring by accurately estimating the fraction of absorbed ...

India’s crop protection landscape has fundamentally shifted- from protecting yields to securing food security amid climate ...

Overview: AI-driven precision farming enables real-time crop monitoring using data from sensors, satellites, and drones to ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

Agentic AI adoption & identity security risks, IGA expansion, SOC-identity team collaboration, & identity platform ...

Artificial intelligence and machine learning play an increasingly important role. Algorithms trained on large datasets are ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on ...