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.

an application of the logistic regressor for the plant disease resistance genes. Given a fasta file and the corresponding expression file and a motif types which you think are associated with the plant disease resistance, if prepares the classification datasets and then fits a logistic regressor for the model building.

plant resistance gene miner which uses a regular expression plus a web scrap approach and given a resistance gene id, it will return the genbank id

I coded this function to make a comprehensive gene isolation for the plant resistance genes from the long reads sequencing. Given PacBio or Oxford Nanopore Reads, it will assemble, predict the plant disease resistance genes and will allow you to analyze the mutations in the plant disease resistance genes