Skip to content
#

crop-disease-detection

Star

Here are 32 public repositories matching this topic...

Language: All
Filter by language
All 32 Jupyter Notebook 11 Python 8 HTML 3 JavaScript 3 CSS 2 C 1 Dart 1 TypeScript 1
Sort: Most stars
Sort options
Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

farhad324 / Auto-Chloro-A-Crop-Disease-Classifier-and-Remedies-Provider-In-Bangla

Star 13

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.

machine-learning deep-learning tensorflow cnn neural-networks image-classification convolutional-neural-networks keras-tensorflow easygui crop-disease-detection plant-disease-classification
  • Updated Mar 30, 2021
  • Jupyter Notebook

AverageCoderInOhio / Crop-Disease-Identification-Model

Star 2

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.

android deep-learning random-forest numpy cv jupyter-notebook image-processing neural-networks convolutional-neural-networks crop-image keras-tensorflow cnn-classification disease-prediction crop-disease-detection
  • Updated Jul 18, 2025

Kamal-Shirupa / Cotton-Disease-Detection-and-Pesticide-Suggestion-System

Star 1

A deep learning-powered solution for crop disease detection and smart pesticide recommendations. The project enables users to classify plant diseases from images and receive targeted treatment advice—empowering precision agriculture through image analysis, external data integration, and an end-to-end, reproducible workflow.

computer-vision agriculture tensorflow keras image-classification crop-disease-detection pesticides
  • Updated Jul 21, 2025
  • Python

HarshGangwar07 / smart_crop

Star 1

The Smart Crop Disease Detection System is a Django web app that uses machine learning to identify crop diseases from leaf images. It helps farmers detect diseases quickly and take action to protect their crops. The system features AWS S3 image storage, TensorFlow Lite integration, and a responsive front-end for easy use.

python docker machine-learning django computer-vision deep-learning agriculture tensorflow aws-s3 web-app prediction image-classification plant-disease tensorflow-model tensorflow-lite agrotech ml-model smart-farming crop-disease-detection crop-health
  • Updated Jun 10, 2025
  • Python

sarangs1621 / Detection-of-Mixed-Pixels-in-Thermal-Image

Star 0

A 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.

python machine-learning ai computer-vision deep-learning agriculture tensorflow image-processing cnn autoencoder thermal-imaging unsupervised-learning data-augmentation precision-agriculture crop-disease disease-detection crop-disease-detection plant-health mixed-pixels scalable-design
  • Updated Mar 4, 2025
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the crop-disease-detection topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the crop-disease-detection topic, visit your repo's landing page and select "manage topics."

Learn more