Turn any electrical irrigation valve into a smart-valve.. or run your pumps on a smart schedule based on your climate! This homebridge plugin exposes a multi-zone irrigation sprinkler dummy control system to Apple's HomeKit. Although a dummy, it brings smarts of an evapotranspiration based climate and plant adaptive irrigation controller with the use of OpenWeatherMap API. The plugin can optionally email you, and/or send you push notifications through Pushover or Pushcut, with the watering schedule it has calculated, or when a watering run is completed, along with the next 7-day weather forecast. Added option to expose system controls to Homekit allowing a user to enable/disable irrigation, rechecks, push and email notifications from within the Home App. Associated WaterLevel Characteristic shows the % of watering cycle remaining.

A comprehensive IoT-based smart farming system featuring ESP32 microcontrollers, environmental monitoring sensors, automated irrigation control, and real-time web dashboard.

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Automatic balcony garden irrigation system using Home Assistant automation, a wireless capacitive soil moisture sensor, smart switch and valve

Smart low-cost irrigation system using Arduino UNO, YL-69 soil moisture sensor, submersible dc water pump, HC-05 bluetooth module(optional)

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IOT project to automatically water plants based on the time. The system makes use of multiple sensors with arduino as its brains. The timer is managed by an RTC with live data about water level, soil moisture and current time displayed through an LCD. It uses concept of proto-threading to efficiently use the arduino.

The Smart Agriculture Advisory System is an application designed to provide farmers with personalized advice on crop management, pest control, and irrigation scheduling. By leveraging machine learning models, the system analyzes various environmental and soil parameters to recommend the most suitable crops for cultivation.

This IoT-based smart irrigation system, utilizing ESP32 and Blynk, automates irrigation based on soil conditions. Remote monitoring enhances water management for efficient agriculture

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IoT-based smart precision irrigation system using Raspberry Pi, MQTT microservices, and real-time weather-aware scheduling with Telegram alerts

本项目为基于STM32与ESP8266的果园智能灌溉监控系统，集成土壤湿度、光照、温湿度监测与自动灌溉、驱鸟、LED补光及APP远程控制功能，实现果园用水优化与作物智能管理。

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Smart irrigation system based on IOT using Django server along with NodeMCU (ESP8266)

Smart irrigation and sprinkler system based on ESPHome with ESP32 and ES32A08

AI-driven Smart Agriculture System leveraging deep learning for plant disease detection and machine learning for intelligent irrigation scheduling.

The Android app establishes a two-way Bluetooth Low Energy (BLE) communication system, enabling remote control and data exchange. For example, it can toggle an LED on and off, operate facial recognition door locks, or manage IoT-based smart water irrigation systems by seamlessly exchanging data between the ESP32 module and the Android app.

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Monitoring moisture content and temperature and control water pump(on/off) in android mobile

IOT based System using various Analog Sensors for smart Irrigation

A smart pH controller for you automatic irrigation system

The Smart Irrigation System is an IoT based device which is capable of automating the irrigation process by analyzing the moisture of soil and the climate condition.

The Adaptive Plant Watering System optimizes irrigation through real-time soil moisture sensing, a smart microcontroller, and a user-friendly Blink app. Tailored watering schedules ensure efficient water usage for diverse plant species.

In an automatic plant watering system or we can say it smart irrigation system. we are using an Arduino microcontroller to control and sense the thing in the projects such as sense or measure the moisture in the soil we are using soil moisture sensor.

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In an automatic plant watering system or we can say it smart irrigation system. we are using an Arduino microcontroller to control and sense the thing in the projects such as sense or measure the moisture in the soil we are using soil moisture sensor.

Most of the farmers use large portions of farming land and it becomes very difficult to reach and track each corner of large lands. Sometime there is a possibility of uneven water sprinkles. This result in the bad quality crops which further leads to financial losses. In this scenario the Smart Irrigation System using Latest IoT technology is helpful and leads to ease of farming. The Smart irrigation System has wide scope to automate the complete irrigation system. Here we are building a IoT based Irrigation System using ESP8266 NodeMCU Module and DHT11 Sensor. It will not only automatically irrigate the water based on the moisture level in the soil but also send the Data to ThingSpeak Server to keep track of the land condition. The System will consist a water pump which will be used to sprinkle water on the land depending upon the land environmental condition such as Moisture, Temperature and Humidity.

AI-Based Smart Farming System: Predicts optimal crops based on environmental data (temperature, humidity, pH, etc.). Offers disease prediction. Integrates IoT for sensor data analysis and irrigation control through Adafruit IO. Empowering farmers with data-driven insights for sustainable agriculture.

To develop a smart irrigation system to provide irrigation system which is automatic for the plants which help in saving water and money. The main objective is to apply the system for improvement of health of the soil and hence the plant via sensors. Appropriate soil water level is a necessary pre-requisite for optimum plant growth. Also, water being an essential element for life sustenance, there is the necessity to avoid its undue usage. Irrigation is a dominant consumer of water. This calls for the need to regulate water supply for irrigation purposes. Fields should neither be over-irrigated nor under-irrigated. In order to replace expensive controllers in current available systems, the Arduino Uno will be used in this project as it is an affordable microcontroller. The Arduino Uno can be programmed to analyse some signals from sensors such as moisture, temperature, and rain. A pump is used to pump the fertilizer and water into the irrigation system. The use of easily available components reduces the manufacturing and maintenance costs. This makes the proposed system to be an economical, appropriate and a low maintenance solution for applications, especially in rural areas and for small scale agriculturists. This research work enhanced to help the small-scale cultivators and will be increase the yield of the crops then will increase government economy