Plant Disease Detector Web Application
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Updated
Feb 14, 2023 - Jupyter Notebook
Plant Disease Detector Web Application
A deep learning CNN model to predict diseases in plants using the famous AlexNet architecture
Our mission is to help in identifying plant diseases efficiently. Upload an image of a plant, and our system will analyze it to detect any signs of diseases. Together, let's protect our crops and ensure a healthier harvest!
NemaDataSet containing 3,063 microscopic images of the five species of phytonematodes with the greatest damage relevance to soybean crops.
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.
functional gene assembly of plant resistance genes.
plant resistance gene miner for linking the resistance gene to genbank id.
logistic regressor for the plant disease resistance genes using sequence features and expression.
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