Upload leaf image🌱 and predict the plant disease.
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Updated
Oct 27, 2023 - Jupyter Notebook
Upload leaf image🌱 and predict the plant disease.
Plant Disease Prediction Using Deep Learning. (Graduation Project 2023) Bioinformatics, Faculty of Computer and Information Science at Ain Shams University
Computer Vision Live detection of plant diseases
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.
This project is an AI-powered plant disease prediction tool utilizing Convolutional Neural Networks (CNN). It is specialized for identifying diseases in maize, potato, tomato, and rice crops, helping farmers and agricultural professionals detect and manage crop diseases early.
A simple app to detect diseases in plant leaves
This project aims to develop a method for detecting plant diseases using CNNs by analyzing leaf images.The CNNs are proficient in handling large datasets and can dynamically learn new features from them in a supervised manner. By learning the important features from the input images, CNNs can make accurate predictions about the presence of diseases
AgroSmart- The Smart Agriculture
Eggplant biotic stress detection app using CNN
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