KisanSahayak is a smart agriculture web application aimed at providing Indian farmers with data-driven insights using advanced machine learning, rainfall analysis, crop recommendations, and disease prediction.

ETa and Crop Coefficient predictions via Machine Learning models

Precision Farming Robot using ESP32 for motor control and live video streaming. Controlled via MQTT and a GUI, this system aims to automate farming tasks for smart agriculture.

UrbanKisaan 🌱 - A web app designed to empower urban farmers with tools to track soil health, monitor crops, and connect with a thriving farming community. 🚜💻

My project in 4th year of engineering in electronis and embedded systems. This project was made in team of two with @Kevin-Pottier & @Joliaus. It uses an NRF52 and some sensors to make a connected garden

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.

Smart Farming research papers collection

Code used in the project "Leveraging data assimilation and monitoring data for improvement of crop growth estimates in protected environments". It includes tomato models implementations, and scripts for data preparation, model calibration, assimilation, sensitivity analysis, visualization strategies and other assessments performed.

A smart irrigation control system prototype that optimises water usage based on real-time weather forecasts and sensor data.

Official code of the paper "Deep-Wide Learning Assistance for Insect Pest Classification"

Este projeto implementa um sistema de irrigação automática utilizando um ESP32 para monitorar a umidade do solo e controlar um relé, garantindo a eficiência no uso da água. Os dados coletados pelos sensores são exibidos em um dashboard desenvolvido com Flask, permitindo o monitoramento remoto das condições do solo e do ambiente.

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

The project is about smart agriculture and is a system that allows people to monitor the status of their cultivated areas by automatically managing irrigation. The network consists of a border router, an undefined number of scattered nodes throughout the lands and a central server (the Master) that coordinates and manages all nodes.

AgroSmart- The Smart Agriculture

A collection of literature on the use of association rule mining methods in smart agriculture

Meet the humble irrigation system that keeps your plants happy and hydrated! With real-time air data, water level LEDs showing how full your tank is, and cloud connectivity for remote monitoring, it’s got your watering needs covered—no more guessing, overwatering, or dehydration!

AI-Models for Smart Irrigation System

And IoT project on Smart Agricolture

Embrace limited and imperfect training datasets in plant disease recognition using deep learning.