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!
This web app is designed to forecast plant diseases by analyzing weather conditions, helping growers take timely action to protect their crops. This project was created to Gemini API Developer Competition.
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.
Folder ini berisi model CNN dan KNN dalam menganalisa penyakit tanaman cabai
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