Michelle Moffitt receives funding from the Hermon Slade Foundation. They are all susceptible to parasitic rust diseases caused by fungi. Plant rust disease can easily be spotted by the characteristic ...

Abstract: This study focuses on the early and accurate detection of tomato plant diseases using the lightweight and efficient deep learning model YOLOv11n. Early identification of plant diseases is ...

Plant diseases cause an estimated 30% annual crop yield loss worldwide, resulting in hundreds of billions of dollars in economic damage and increasingly threatening native and ornamental plants ...

A full-stack web application that uses deep learning to detect and classify plant diseases from leaf images. Built with Next.js, React, TailwindCSS on the frontend and Flask, TensorFlow on the backend ...

In tomato cultivation, various diseases significantly impact tomato quality and yield. The substantial scale differences among diseased leaf targets pose precise detection and identification ...

ABSTRACT: Timely and accurate detection of plant diseases is essential for improving crop yields and ensuring food security, particularly in regions like Cameroon, where farmers often rely on visual ...

1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...

A web-based application that uses deep learning to detect plant diseases from leaf images. The system can identify 15 different plant diseases across multiple crops including Apple, Cherry, Corn, ...

AlphaFold has been used to predict how targeted immune receptor engineering could lead to increased disease resistance in plants. Scientists at the University of California, Davis (CA, USA), have ...