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Rhizomatic Systems management of the @Grow-Dojo project, a modular agricultural automation system with a focus on high security and broad range of deployment options. Hydroponics, Aquaponics, Traditional Farming, Closed Environment Agriculture, Greenhouse, etc...
Symptom-based crop disease predictor + agricultural analytics dashboard for wheat, cotton, and sugarcane. Built with Flask and Pandas, with a visual symptom library and yield/production trend charts. Lightweight - no camera, no image upload, works on low-bandwidth connections.
A web application created to predict the crop yield based on historical data. It can perform basic analysis, along with plotting the crop harvest in various states.
Prospera Technologies was an Israeli agricultural-technology company, founded in 2014 and headquartered in Tel Aviv with US offices in Austin, TX, that applied machine learning and computer vision to continuously monitor plant development, health and stress from crop-field imagery and deliver irrigation and crop-growth recommendations to growers…
Predict corn yield accurately with AI. This WordPress plugin helps farmers estimate bushels per acre, save field data, and export CSV reports for precision farming and sustainable agriculture.