Project to read Soil, Atmospheric and Water Sensors and display predicted crops based on the values
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Updated
Dec 15, 2022 - Kotlin
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.
E farming complete support system for Smart Agriculture - Research Paper
Repository of the Website of the Precision Agriculture Laboratory at the Technical University of Munich (TUM)
Concept idea for a smart crop management system accessible to all farmers via low barriers of use and ownership
Python package that facilitates the connection to helyOS core via RabbitMQ.
🌱 Real-time soil moisture sensing using NodeMCU and Firebase
This is an app developed using Android Studio and Firebase where user(farmer) can do is provided with four basic services - Buying and selling farm products and essentials, Weather report, Govt schemes info page and a helpline.
An esp8266 client send udp packets to a python server
NPM package to help the development of javascript applications in the helyOS framework
This is a flutter firebase application for smart farming this would be a simple version of farmassist
Implementing an smart farming system design to control tempreture, light, humidity, object nearby detection
Code repository for Universal Digital Agriculture Watering Assistant (UDAWA) Smart System application interface.
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.
Services for temen-tani application
'CNN_Sorghum_Weed_Classifier' is an artificial intelligence (AI) based software that can differentiate a sorghum sampling image from its associated weeds images.
Smart application predicts the exact irrigation water amount
This is the original repository of UDAWA Gadadar, a subsystem of the UDAWA Smart System platform. The main feature of this variant is to automate the green house instruments and monitor the environment's condition and the overall power usage of the controlled instruments.
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