Project to read Soil, Atmospheric and Water Sensors and display predicted crops based on the values

A minimal IoT device simulator built using Node-RED. It sends telemetry data to Firebase Realtime Database for Farmassist app.

This comprehensive ontology that merges multiple ontologies from various smart farming subdomains, creating a unified knowledge representation for this growing field.

Concept idea for a smart crop management system accessible to all farmers via low barriers of use and ownership

Improved weed segmentation in UAV imagery of sorghum fields with a combined deblurring segmentation model

Repository of the Website of the Precision Agriculture Laboratory at the Technical University of Munich (TUM)

Doctor Plant | Smart Farming Application | Daily Market Prices | Weather | IoT Based

E farming complete support system for Smart Agriculture - Research Paper

Implementing an smart farming system design to control tempreture, light, humidity, object nearby detection

Python package that facilitates the connection to helyOS core via RabbitMQ.

Code repository for Universal Digital Agriculture Watering Assistant (UDAWA) Smart System application interface.

This repository contains the source code associated with the pilot tech radar for the warm-up DBDD group project.

AI-based image recognition and soil parameter monitoring to precisely determine growth stage of plants and automate irrigation.

S.A.F.MILKY (Smart Artificial Farming Milky) è un'applicazine Android per la gestione di un caseificio. Realizzata con Android Studio con l'uso dei liguaggi JAVA, XML. Progetto per l'università UNISA corso di IUM con prof Giuliana Vitiello.

The Smart Plant Monitoring System is an IoT project that automates plant care using an ESP32 microcontroller. It monitors soil moisture, temperature, and humidity, automating watering based on sensor data. The system connects to the Blynk app for remote monitoring and control, making it perfect for smart agriculture or home automation.

This рrojеct comрrisеd of dеvеloрing of а smart Hydroрonic Рod which cаn bе usеd for growing thе vеgеtаblеs аnd fruits.

Smart application predicts the exact irrigation water amount

PlantPulse helps users monitor their crop fields in real-time using IoT, and recommending the most suitable crops using an ML model. 🚜🌾💧

An Arduino-based soil moisture monitoring system with real-time OLED display and alert mechanisms using a LED and buzzer

🌱 Real-time soil moisture sensing using NodeMCU and Firebase