Frontiers

Smart intercropping system to detect leaf disease using hyperspectral imaging and hybrid deep learning for precision agriculture

Introduction: The rapid growth of the global population and intensive agricultural activities has posed serious environmental challenges. In response, there is an increasing demand for sustainable ...
Frontiers

Enhanced-RICAP: a novel data augmentation strategy for improved deep learning-based plant disease identification and mobile diagnosis

Introduction: Plant diseases pose a significant threat to global food security and agricultural productivity, making accurate and timely disease identification essential for effective crop management ...
IEEE

Exploring Deep Learning and Explainable AI for Precise Rice Leaf Disease Detection and Classification

Abstract: This study presents an innovative approach to detect and classify four types of rice leaf diseases, including bacterial leaf blight, brown spot, tungro, and blast, as well as healthy leaves, ...
The New York Times

A Race to Save a Signature American Tree From a Deadly Disease

Beech leaf disease has already made its way to 15 states and into Ontario, with alarming results. By Margaret Roach I am hardly alone among gardeners who have called upon a copper-leaved European ...
IEEE

Detection of Neem Leaf Disease Using Deep Learning Models

Abstract: Neem is a medicinal plant known for its antibacterial and antifungal properties. However, various leaf diseases affect its growth and medicinal value, making early and accurate detection ...