disease-detection-cnn

There are 0 repository 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
image-processing agriculture disease-detection-cnn soil-health blockchain-technology fintech plant-diseases
Language:Dart 3
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.
disease-detection-cnn convolutional-neural-network cnn ann-model convolutional-neural-networks-cnn cnn-example disease
Language:Jupyter Notebook 2
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.
deep-learning disease-detection-cnn handheld-devices spresense
Language:Jupyter Notebook 1
syedissambukhari / Eggplant-biotic-stress-detection-app-using-CNN
Eggplant biotic stress detection app using CNN
cnn-classification cnn-keras disease-detection-cnn eggplant plant-disease plant-disease-classification plant-disease-detection plant-disease-prediction stress-detection
Language:Java 0
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.
ai deep-learning disease-detection disease-detection-cnn disease-prediction healthcare keras-tensorflow streamlit tensorflow
Language:Python
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.
cnn disease-detection-cnn keras-tensorflow python
Language:Jupyter Notebook

disease-detection-cnn

suagar10 / AgraQ

kanchan88 / disease-detection-CNN

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

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

guy-977 / Skinalyze

mozammalrahat / Tomato-Leaf-Disease-Detection-CNN