AI

In the quest to bolster agricultural productivity and ensure crop health, researchers have developed a cutting-edge deep learning framework that promises to revolutionize the way leaf diseases are diagnosed. This advanced system, detailed in a recent

In the ever-evolving landscape of precision agriculture, a groundbreaking study published in *Scientific Reports* offers a novel approach to predicting plant stress, potentially revolutionizing how farmers manage water resources and crop health. The

In the heart of Ethiopia, where sesame fields stretch as far as the eye can see, farmers and traders face a daily challenge: predicting the volatile prices of this golden crop. Sesame, Ethiopia’s second-most important export after coffee, is a lifeli

In the relentless pursuit of sustainable agriculture, early and accurate disease detection in crops stands as a critical challenge. A novel deep learning model, OptiNet-B3, developed by researchers led by Kothakota Naveen from the School of Computer

In the heart of India’s agricultural landscape, a technological revolution is brewing, promising to reshape the way farmers approach crop cultivation and fertilizer application. Researchers have developed a sophisticated deep learning model that offe

In the realm of agricultural technology, precision is key, and nowhere is this more critical than in rainfall prediction. A novel study published in *Unconventional Resources* offers a promising advancement in this area, potentially revolutionizing h

In the ever-evolving landscape of agriculture, farmers face a myriad of challenges, from unpredictable weather patterns to fluctuating market prices and increasing input costs. Making informed decisions about what to plant can mean the difference bet

In the heart of agricultural landscapes, where water management is a critical lifeline, a groundbreaking development is poised to revolutionize the way we monitor and control drainage systems. Researchers have introduced a sophisticated, AI-driven ap

In the realm of agricultural production, where processes are often nonlinear, time-lagged, and continuously disturbed, effective regulation is paramount. A recent study published in *Agriculture* introduces a novel window AI control method that could

In the ever-evolving landscape of agricultural technology, a groundbreaking review published in *Agronomy* is set to revolutionize how farmers and researchers approach nematode detection. Led by Arjun Neupane from the School of Engineering and Techno