Indoor farming software using the Raspberry Pi
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Updated
Jun 16, 2020 - PHP
Indoor farming software using the Raspberry Pi
SmartCrop: Intelligent Crop Recommendation
AgroInone - Website - One stop platform for farmers to use multiple required services
A web application to detect diseases in tomatoes through image detection on tomato leaves using YoLo
Cultivo de alimentos frescos en espacios reducidos mediante un Food Computer
An Agro Tech application by IIITIANS for Solving for India Hackathon by Geeks for Geeks.
This is a Hackathon project we did on Solving for India Hackathon conducted by GeeksforGeeks, Powered by Google and AMD. This Web App is hosted on render as it is free and it will take some time for loading and as it is hosted on free service the processing time is also higher
Krishi Market will serve as a way for the farmers to sell their products across the country just with some basic knowledge about how to use the website. The site will guide the farmers in all aspects. It is created for farmers who want to sell fresh products to local shoppers and restaurants.
This project is focusing on agricultural revolution based on modern agrotechnology.
Diverson2k24 hackathon project - A one-step solution for farmers including supply-chain-management, crop-disease detection, community support and much more.
Robô para leitura do documento de vegetação nativa do Estado de São Paulo
Diverson2k24 hackathon project - A one-step solution for farmers including supply-chain-management, crop-disease detection, community support and much more.
Watermelon fruits detection using deep learning.
Este proyecto consiste en explorar las posibilidades de implementación y escalamiento de la tecnología de luz artificial para cultivos de interés agrícola, como crisantemos y fresas, esto en beneficio de los sectores exportadores.
Es una plataforma AgroFintech que utiliza sensores IoT, datos satelitales e inteligencia artificial para optimizar riego, control de plagas y salud del suelo. Además, proporciona herramientas financieras que ayudan a mejorar la rentabilidad y gestión de recursos, créditos y seguros agrícolas, facilitando decisiones informadas basadas en datos.
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