disease-detection-cnn

There are 6 repositories under disease-detection-cnn topic.

  • suagar10/AgraQ

    A comprehensive solution to assist farmers and customers to get maximum benefits. This app can detect various plant diseases using image processing and suggest accordingly.This is a blockchain powered solution to help ensure that farmers get a fair price for their crops and customers get value for money

    Language:Dart3102

  • kanchan88/disease-detection-CNN

    The Cell can certain features than help doctors to make decision whether you can a certain disease or not. ANN model will take long time for image classification and can only work in images concentrated in center. Here is how you do using CNN(Convolutional Neural Network). CNN is the expanded version of ANN.

    Language:Jupyter Notebook2101

  • AAnirudh07/Handheld-Tool-For-Crop-Disease-Detection

    This repository contains the details of the handheld crop disease detection tool built for the SONY IIT-Madras SAMVEDAN hackathon.

    Language:Jupyter Notebook1100

  • syedissambukhari/Eggplant-biotic-stress-detection-app-using-CNN

    Eggplant biotic stress detection app using CNN

    Language:Java0100

  • guy-977/Skinalyze

    Skin lesion detection app, based on CNN model trained on MSLD v2.0 dataset for detecting: Monkeypox, Chickenpox, Cowpox, HFMD, Measles and healthy.

    Language:Python201

  • mozammalrahat/Tomato-Leaf-Disease-Detection-CNN

    This work presents a simple CNN-based technique for early detection of tomato leaf disease using 22948 images from the New Plant Diseases Dataset. The proposed model has a training accuracy of 97.6% and a test accuracy of 93.6%, making it an efficient and effective tool for farmers to identify and mitigate losses due to tomato leaf disease.

    Language:Jupyter Notebook10