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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.
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
Plant Sense ๐ฟ๐ฑ- 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!ย ๐ ๐
We created a system that can help maintain home plants or even a full farm โ giving our farmers the power of automated AI system to sustain their farm health. Indian agriculture farmers generally suffer due to the low production of crops. The problems lie in conveying a proper message and guidance to maintain their fields efficiently.
This model learns all the features of 48 different kinds of plants (Healthy and diseased) from the PlantVillage Dataset, and identifies the type of disease and the plant when you input any image in the model.
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.