crop-disease-detection
There are 2 repositories under crop-disease-detection topic.
DevilStudio27 / Plant-Disease-Detection-and-Solution
Plant disease detection and Solution using Image Classification
Language:Jupyter Notebook 54FASAL-MITRA-SIH-22 / Fasal-Mitra
An automated plant disease detection, Progressive Web App that will help the farmers to detect the disease in their crops and will also give insights on its treatment .
Language:JavaScript 14farhad324 / Auto-Chloro-A-Crop-Disease-Classifier-and-Remedies-Provider-In-Bangla
Auto Chloro is a plant disease classifier & remedies provider that uses deep learning. It can predict diseases and provide remedies. The GUI is based on Bangla Language keeping in mind that, our primary target is to create an application to predict plant diseases and provide remedies for the Bangladeshi people.
Language:Jupyter Notebook 12G-Karishni / Agri-Pal
Agri-Pal is the simplest solution to aid a farmer in Agriculture - Crop and Poultry Farming. Agri-Pal is a simple Plug n Play device ensuring Disease Detection and Animal Breach Detection.
Language:Python 7yMayanand / crop-disease-detection
This project uses CNN to identify diseases in plants using image of their images of leaves
Language:Python 7Dutta-SD / CropDiseasePredictionApp
[Archive] Please see below URL
Language:Python 6varnit-ta / AgroInsight
A tool to scan crops and predict healthy crops, crop rust, or powdery mildews.
Language:JavaScript 4GAUTAMSINGH102 / Crop_Disease_Detection
Detect the Disease in Crop and recommend pesticides for it.
Language:Jupyter Notebook 3Harsh19012003 / Project-Takshak
Farmer assistant system VCET Hackathon 2k22
Language:CSS 3LakshyaSharma207 / KrishiSankalp-gdsc-solutions
Flutter app which helps farmers take the right decisions with their crop regarding diseases. Our team's idea for GDSC solution challenge 2024
Language:Dart 3Neural-Ninja / Crop-Disease-Detection-and-Severity-Estimation-PLOS-ONE
This repository contains code and resources for an end-to-end system designed to automate the detection and severity estimation of diseases in tomato plants.
Language:Python 3G-stack-coder / HELPMATE-A-crop-suggestion-website
This repository as all the files of the HELPMATE webpage
Language:HTML 2gauthamkuckian / METADATA-FARMER-ASSISTANCE-WEBAPP-AI-ML
METADATA-FARMER ASSISTANCE WEBAPP | AI & ML
Language:HTML 2rakheshkrishna2005 / crop-disease-prediction
🌾 An AI-powered Crop Disease Predictor Web App that uses advanced image recognition to identify crop diseases.
Language:Jupyter Notebook 2AverageCoderInOhio / Crop-Disease-Identification-Model
This project leverages deep learning to identify crop diseases from images. Built with TensorFlow, the app allows users to upload crop images and predicts the disease. It features a user-friendly interface, feedback submission, and an informative "About" section. Perfect for early disease detection in crops.
Deshmukh-Omkar / CropDoc
A Keras Sequential Model which predicts crop diseases of 18 crops across 55 diseases; deployed on a flask based web app.
Language:HTML 1Crop disease detection website
Language:CSS 1sarangs1621 / Crop-Disease-Detection
Crop Disease Detection using Deep Learning employs the ResNet29 model to identify and diagnose 38 distinct crop diseases. Utilizing the Plant Village dataset, this project achieves high accuracy in detecting diseases, helping to improve agricultural sustainability through timely and automated disease detection.
Language:Jupyter Notebook 0Yashrajgithub / Crop-Disease-Identification-Model
This project leverages deep learning to identify crop diseases from images. Built with TensorFlow, the app allows users to upload crop images and predicts the disease. It features a user-friendly interface, feedback submission, and an informative "About" section. Perfect for early disease detection in crops.
Language:Jupyter Notebook 0haezcela / SOLCHA-24-ka-Halaman-prototype
Welcome to Ka-Halaman! Version 1 serves as the foundational prototype, crafted to showcase structuring of agricultural data.
Language:JavaScripthrugved06 / crop-disease-detection-using-VGG16
Food Crop disease detection model using VGG16 architecture
Language:Jupyter NotebookMukaffi28 / Potato-Disease
Dataset for Potato Disease Classification
Rohitpawale23 / AgriGaurd-AI-Crop-Disease-Detection
🌱 AgriGuard : AI Smart Crop Disease Detection System A deep learning-powered web app that identifies 38+ plant diseases from leaf images with 95% accuracy. Built using TensorFlow and Streamlit, this project aims to empower farmers with instant, AI-driven diagnostics to combat global crop losses.
Language:Jupyter NotebookA lightweight Python deep learning framework for precision agriculture. It leverages a CNN autoencoder to detect mixed pixels in thermal images, enabling early crop disease detection with robust metrics (MPP, SSIM, MSE) and scalable design.
Language:Jupyter Notebookshvn22k / mini-project-sem3
repo for mini-project in 3rd semester
Language:Jupyter Notebookzayneeh / Texttospeechtest
Testing the Text to speech feature for a Crop disease treatmnet prediction app
Language:Python