Plant Disease Detector Web Application

A deep learning CNN model to predict diseases in plants using the famous AlexNet architecture

This repository contains code and resources for classifying eggplant diseases using Convolutional Neural Networks (CNN). The project aims to provide a solution for identifying diseases in eggplants through image classification techniques, facilitating early detection and intervention to prevent crop losses.

NemaDataSet containing 3,063 microscopic images of the five species of phytonematodes with the greatest damage relevance to soybean crops.

logistic regressor for the plant disease resistance genes using sequence features and expression.

plant resistance gene miner for linking the resistance gene to genbank id.

functional gene assembly of plant resistance genes.