petchay doctor AI Mobile Application
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Updated
Jul 8, 2024 - Dart
petchay doctor AI Mobile Application
This Django-based REST API facilitates the detection of diseases on plant leaves, aiding in the identification of leaf diseases.
Smart Plant Disease Detection App utilizing modern AI techinques
AgroGuard is a deep-learning-based application that helps us identify different diseases in plants and provides timely cures.
Plant disease detection and Solution using Image Classification
This project aims developing system that can identify and categorize diseases in plant leaves from images. This process integrates various stages from data collection to deployment, utilizing advanced machine learning techniques to improve agricultural productivity and plant health.
This is a deep learning project in agriculture domain that detect plants diseases
Detecting diseases in maize plant leaves using convolutional neural network
GreenGuardian is an innovative Flutter app designed to empower users with the ability to swiftly identify and address plant diseases. Leveraging the robust Haar Cascade algorithm for image processing and disease detection, this app simplifies the process by allowing users to capture or select images of plant leaves directly from their mobile device
Rudraksh - Blending Tech with Nature's Essence, Unveiling Plant Health
Plant Disease Detection Using CNN
Farmassist is a smart farming app for IoT and AI-powered plant disease detection. It is built with Flutter and uses Firebase as its backend.
Plantex 🌿 detects plant diseases with 99% accuracy using TensorFlow/Keras 🤖. It offers disease info 📚, product recommendations 🛒, and organic waste exchange 🔄. An AI chatbot 🤖 aids user interaction. Promoting sustainability 🌱 in smart cities.
Welcome to the Plant Disease Classifier Deployment repository! This project integrates cutting-edge technologies to develop a sophisticated plant disease classifier. Leveraging TensorFlow for model creation and ReactJS for the web interface, this project offers an innovative solution for identifying plant diseases swiftly and accurately.
Plant disease detection on PlantVillage dataset using EfficientNetV2-B0
Bases on Leaf images we are trying to predict plant disease using convolutional neural network. PyTorch implementation
Plant Sense 🌿🌱- the avant-garde plant disease identification application!! Stepping into the world where technology meets nature, and code turns into lush greenery. Welcome to our GitHub Garden, where we nurture the extraordinary! 🚀 🌟
Source code for the paper "Color-aware two-branch DCNN for efficient plant disease classification".
Source code for the paper "Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches".
Master thesis project
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