This repository contains a MATLAB-based image processing project focused on leaf segmentation and morphometric analysis. The work was completed as part of the MOD002643 – Image Processing module at ...

One silver lining for farmers who had to contend with southern rust this season — it won’t necessarily show up in their fields next year. That’s not necessarily the case for a driver disease like tar ...

Betsy Bower pointed out diseases right and left. I struggled to take it all in. We walked through a corn plot near Lafayette, Ind., on a mid-September day. The early-June planted corn was still green ...

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 ...

Rice leaf diseases significantly impact yield and quality. Traditional diagnostic methods rely on manual inspection and empirical knowledge, making them subjective and prone to errors. This study ...

1 School of Electronic Information and Artificial Intelligence, Leshan Normal University, Leshan, China. 2 Sichuan Prefabricated Cabin Power Equipment Engineering Technology Research Center, Leshan, ...

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, ...

You know that saying “round up all the usual suspects”? Well, that line could apply to corn diseases in Iowa in 2025. Although tar spot has nabbed much attention among corn diseases in recent years, a ...

Disease pressure in certain parts of Indiana is starting to ramp up. “About every field I’m in right now, I can find gray leaf spot,” says Chad Threewits, agronomic service rep for Syngenta in Indiana ...