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Android App for plant lovers! Identify plants, check the weather, and discover new favorites. Built using MVVM architecture with local caching using Room SQLite Database. Taru is completely open source! 🌿🌻🌱
This repository contains field images of early stage tomato, cotton, velvetleaf and black nightshade. Agricultural University of Athens is performing several image capturing sessions and provides this dataset in order to promote research efforts in crop/weed identification.
This code implements a Convolutional Neural Network (CNN) to classify plant diseases using the PlantVillage dataset. It includes the full pipeline for data preparation, model training, evaluation, visualization, and prediction.
This Invasive Plants identification prototype allows users to identify region-specific invasive plants and suggests alternative non-invasive plants to plant instead. The admin webpage enables authorized users to expand and modify the database for comprehensive coverage.