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
AI-powered satellite analysis for agriculture using Sentinel-2 data—vegetation indices and farmer insights.
A Deep Learning Architecture to detect if a lemon tree is diseased or healthy by looking at an image of its leaf
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.
Diseño e implementación de un sistema de aprendizaje automatico para la prediccion de Capacidad de Intercambio Catiónico
A sugar cane harvesting system that aims to decrease production loss
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.
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.
Simulated irrigation system for FarmTech Solutions (FIAP AI & ML). Uses ESP32 on Wokwi for sensor data, SQLite for storage, Streamlit dashboard, and OpenWeather API for weather-based irrigation. Built with C++, Python, SQL. Showcases IoT, data processing, and visualization skills.
A scalable, open-source environmental control system using Arduino and Python for precision automated indoor farming.
Python library for AI-driven agricultural zoning with ISO 42001 compliance.
An implementation of the backend of an application tailored to help farmers minimize both pre and post harvest losses.
Streamlit application that accurately identifies crops and weeds in agricultural images. This tool empowers farmers with visual insights, optimizing their land management strategies.
An Open Source Disease Detection Platform for Microimaged Plant Phenotypic Characteristics (Currently for Tomato, Cucurbit, and Grape)
A modular AI system for automating disease detection, growth stage classification, and yield prediction in vertically farmed lettuce using computer vision, deep learning, and environmental data.
ለኢትዮጵያ ገበሬዎች የሰብል ምርት ትንበያ፣ የማዳበሪያ ምክር፣ የምግብ ጥራት ምርመራ እና የአማርኛ AI አማካሪ የሚሰጥ መተግበሪያ ። (A platform providing crop yield prediction, fertilizer advice, food quality inspection, and an Amharic AI advisor for Ethiopian farmers.)
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