An Arduino based Smart Irrigation System which sends Live Stats and Data Directly to Your Connected ID. Just Upload the Required Moisture Levels , select the Crop and you are Good to Go.

Smart Agriculture System (Graduation Project) integrating Arduino IoT sensors, Python, Flask API, and a React dashboard. The system monitors soil moisture, temperature, humidity, and water level, and automatically controls irrigation by sending commands to an Arduino-controlled water pump.

Développement d’un système de contrôle d'arrosage intelligent intitulé « Smart Irrigation System » à l’aide du logiciel python. Ce système peut être contrôlé à distance avec un ordinateur, un téléphone intelligent ou une tablette

A smart, low-power irrigation system that predicts rain using a neural network and automates watering based on sensor data. Built with STM32, C, Python, TensorFlow Lite, Developed as an academic prototype for embedded AI and IoT applications.

A distributed smart farming system that monitors soil moisture across multiple zones and automates irrigation control via REST API. Built with Laravel 13, Python 3, MySQL, and Docker. Features real-time web dashboard, worker-based command execution, and API key security.

The project describes the smart irrigation system using the concept of IoT. The project uses a Wi-Fi module (ESP8266-12E) which connects the system to internet. This module controls a motor for supplying water to the field on the information obtained from a water level indicator and a soil moisture sensor. This whole system is monitored and controlled by MQTT server (My MQTT android App) through internet. A temperature sensor is also used to remotely monitor the temperature of the field. The project also depicts the concept of Internet of Things (IoT). A GSM module 900A is also used as an alternative to provide information about the water-level and temperature to the farmer via short messaging system(SMS). The project also deals with monitoring the plant health using Image Processing. The images of the leaves will be captured and processed in python language using convolutional neural networks. Keras API with tensorflow backend is used for training and implementing the model .The health will be monitored on the basis and the farmer will be kept updated on the same My MQTT App.

Python-based smart irrigation system simulation

Smart home-irrigation-system written in python.

Smart irrigation system for Domoticz (python plugin)

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Smart Irrigation System using a Raspberry Pi (Written in Python)

IoT-based smart irrigation system using ESP8266, sensors, and Python backend

A Python-based IoT Smart Irrigation System with manual and automatic modes.

An AI-powerd smart irrigation system logic using Python and weather data.

Smart system for monitoring and automating irrigation using Python and cloud integration

smart drippping irrigation system using esp 32 microcontrollers and also using micro python,

A beginner-friendly Python project that simulates a smart irrigation system using soil moisture input.

A smart soil monitoring and semi-automatic irrigation system using Arduino, sensors, GSM, and Python. It measures soil moisture, temperature, and humidity, analyzes data, suggests suitable crops, and sends multi-line SMS updates to the farmer while allowing remote pump control via SMS.

Submission for the AICTE Shell Innovation Challenge. A Python-based smart irrigation system with database support for real-time soil moisture monitoring.

A smart irrigation system simulator using Python and Streamlit. Includes live moisture monitoring, automated pump control, ML-based dryness prediction, and data visualization.

AI-based Smart Irrigation System that predicts plant watering needs using simulated environmental data (temperature, humidity, and soil moisture) with Python and Machine Learning.

An AI-powered autonomous crop protection and smart irrigation system — computer vision for disease detection, ML-based classification, growth tracking, and advisory generation, all in Python.

🌱 Smart Irrigation System – IoT-ready Python app for automated, weather-aware watering. Modular design with simulated/real sensors, configurable thresholds & easy hardware integration (RPi, ESP32…).

This project is a smart irrigation system that leverages IoT technologies, including the ESP32 module, MQTT protocol, and Python. It enables efficient water management by monitoring and controlling irrigation remotely, offering an eco-friendly solution for agriculture and gardening.

Smart Irrigation System using Kafka, Spark & Edge AI for Mauritanian agriculture. This project analyzes real-time sensor data (temperature, soil humidity, climate) to predict irrigation needs and optimize water usage. Built with Python, Apache Kafka, Apache Spark, Machine Learning, and Streamlit.

A fuzzy logic-based smart irrigation system that calculates the recommended water amount based on soil moisture and rainfall levels. Built using Python, scikit-fuzzy, and Matplotlib.

A fuzzy logic-based smart irrigation system that calculates the recommended water amount based on soil moisture and rainfall levels. Built using Python, scikit-fuzzy, and Matplotlib.

IoT-based smart irrigation system that monitors soil moisture and weather data to automate watering. Integrated sensors with ESP32 and cloud dashboard for real-time monitoring. Used Python ML to predict rainfall and optimize irrigation, reducing water wastage and improving climate-resilient farming.

This project integrates AI and IoT for smart agriculture, optimizing irrigation, lighting, and ventilation using real-time sensor data. The AI model, developed in Python, predicts irrigation needs, while Arduino Mega controls sensors and actuators. The system enhances resource efficiency and sustainability in agriculture.