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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.
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.
Plant-Disease-Detection. This project presents a Plant Disease Detection System designed to enhance agricultural practices by utilizing machine learning for the early identification of plant diseases. The system is developed using TensorFlow and Streamlit.
Plant_Disease_Detection.ipynb - Colab. Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount("/content/drive", force_remount=True). #Locate the Dataset...
Identify Plant Diseases We use the PlantVillage dataset [1] by Hughes et al. consists of about 87,000 healthy and unhealthy leaf images divided into 38 categories by species and disease....
22 gru 2020 · We work on developing machine learning methods to detect plant diseases before visible symptoms emerge. We use hyperspectral imaging to detect changes in plant reflectance that are indicative of pathogen infection.
Using a public dataset of 54,306 images of diseased and healthy plant leaves collected under controlled conditions, we train a deep convolutional neural network to identify 14 crop species and 26 diseases (or absence thereof).
