An advanced IoT system for smart agriculture monitoring. This project integrates ESP32-based multi-sensor nodes with cloud analytics and XGBoost-based AI forecasting to optimize irrigation and crop health.

Real-time Monitoring of Farm Environment including Soil Parameters

The channel collects, stores, visualizes, and analyzes data from different environmental sensors used in a prototype precision agriculture/ smart farming project.

Project Overview: This IoT-based system is designed to automate plant watering by monitoring real-time soil moisture levels. The project utilizes a dual-processor architecture to balance local control with cloud connectivity. Hardware Architecture: C

Smart farming using IoT is an advanced agricultural approach that integrates sensors, communication technologies, and automation to improve crop production and resource efficiency. It enables farmers to monitor field conditions in real time and make data-

IoT-based Smart Farming system to monitor soil and environmental conditions for efficient irrigation using NodeMCU and ThingSpeak

The system records data on temperature and humidity for smart farming purpose

Monitors and extrapolates data from durian tree environment and determine optimal conditions.

Project involves the development of an automatic reservoir gate control system using NodeMCU (ESP8266 & ESP32) and a SIM900A Mini GSM module. This system aims to optimize irrigation practices by considering various environmental factors such as temperatur

Data transmission to cloud