Recommendation system for farmers based on soil type, location, season etc.
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Updated
Mar 13, 2018 - Python
Recommendation system for farmers based on soil type, location, season etc.
Eduponics Raspberry Pi MQTT Library - build your smart IoT garden with ease.
An (incomplete) implementation of the ISOBUS standard in Python
An IEEE-IAS Industrial Power Conversion Systems Department Design Competition-winning solution, AgriTracka is a comprehensive agricultural monitoring platform that leverages sensor data and machine learning algorithms to predict plant health and provide actionable recommendations to farmers, ultimately enhancing crop yield and sustainability.
FarmTracka is a comprehensive agricultural monitoring platform that leverages sensor data and machine learning algorithms to predict plant health and provide actionable recommendations to farmers, ultimately enhancing crop yield and sustainability.
A Django-based AI-powered system for classifying banana ripeness from images and providing value addition suggestions. The project integrates a trained machine learning model for ripeness detection, a backend API, and a frontend interface for users.
Diseño e implementación de un sistema de aprendizaje automatico para la prediccion de Capacidad de Intercambio Catiónico
AI-powered satellite analysis for agriculture using Sentinel-2 data—vegetation indices and farmer insights.
An Open Source Disease Detection Platform for Microimaged Plant Phenotypic Characteristics (Currently for Tomato, Cucurbit, and Grape)
Streamlit application that accurately identifies crops and weeds in agricultural images. This tool empowers farmers with visual insights, optimizing their land management strategies.
An implementation of the backend of an application tailored to help farmers minimize both pre and post harvest losses.
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