CodeDroid999 / CropCareAI
CropCareAI is an AI-powered web application built using Flask to assist plant enthusiasts, farmers, and researchers in identifying and diagnosing plant diseases using pretrained Machine Learning models.
☆23Updated 2 weeks ago
Alternatives and similar repositories for CropCareAI:
Users that are interested in CropCareAI are comparing it to the libraries listed below
- Plant disease detection and Solution using Image Classification☆49Updated 3 months ago
- An application that for farmers to detect the type of plant or crops, detect any kind of diseases in them. The app sends the image of the…☆20Updated 3 years ago
- Saathi - Crop recommendation using ML and plant disease identification using CNN and transfer-learning approach☆25Updated 9 months ago
- An application that provides complete assistance to farmers right from sowing to harvesting. Its features include plant disease detection…☆59Updated 2 years ago
- Overall app for farmers☆16Updated 3 years ago
- Crop Recommendation System Using Machine Learning☆67Updated 8 months ago
- Upload leaf image🌱 and predict the plant disease.☆24Updated last year
- A comprehensive project utilizing CNN and Deep Learning to detect and classify diseases in plants, enabling farmers and experts to preven…☆32Updated last year
- The model focuses on predicting the crop yield in advance by analyzing factors like district (assuming same weather and soil parameters i…☆19Updated 2 years ago
- ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.☆98Updated 2 years ago
- A platform of machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your c…☆51Updated 6 months ago
- Bike sharing systems are a new generation of traditional bike rentals where the whole process from membership, rental and return back has…☆14Updated 3 years ago
- Computer Vision Live detection of plant diseases☆12Updated 3 years ago
- Bases on Leaf images we are trying to predict plant disease using convolutional neural network. PyTorch implementation☆275Updated 3 months ago
- AI web application that detects diseases in plants using FastAi /resnet34 and other deep learning models.☆101Updated 5 months ago
- ☆12Updated 3 years ago
- It's able to detect 33 type of leaf diseases by using Deep learning.. I use transfer learning on the project. For More Information read m…☆79Updated last year
- Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.☆77Updated 5 years ago
- Crop Yield Prediction Using Machin Learning Python☆21Updated last year
- The Crop Management System is a machine learning-based project designed to provide predictions and recommendations for farmers.☆23Updated 2 years ago
- Full stack Fake News Detection using machine learning Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper…☆31Updated 2 years ago
- Final Year Project Diseases Prediction System through Machine Learning. Disease Prediction system with code and documents☆82Updated 2 years ago
- The Plant Disease Detection Web Application, known as 'CultiKure,' is a web-based tool designed to assist users in the early detection an…☆20Updated 11 months ago
- Problem-Statement: AI for Farmer for Crop and Fertilizer Recommendation, Pest recognition and proper guideline☆40Updated 5 years ago
- This repo contains the python codes of my final thesis "Analysis of leaf species and detection of diseases using image processing and mac…☆45Updated 3 years ago
- CNN Based model to classify Plant Leaf Diseases. Used Flask for the front-end and hosted on Heroku.☆26Updated last year
- AgriCrop is a Crop Recommendation System built on Machine Learning techniques to recommend the best fitted crop for the given condition b…☆17Updated 2 years ago
- Final Year VTU Project☆14Updated 5 months ago
- Drowsiness Detector using Python. College Project with all Documents☆36Updated 3 years ago
- Diseases Prediction System though Machine Learning with code and documents☆26Updated 2 years ago