Smart irrigation system using internet of things. With the help of these project, the water level can be controlled and only adequate amount of water will be supplied to the plants automatically. We can able monitor the growth and the soil moisture content using our smart phones from anywhere in the world. Telegram app will be used for that purpose. Components required to build these projects are : Raspberry Pi (model B+), Arduino UNO, Raspberry Pi camera module, Relay, Dc submersible pump, Soil moisture sensor and a OLED Display.

To avoid the defects of traditional methods of agriculture and to achieve Egypt Plan 2030 to avoid wasting water and saving energy and cost of planting by making agriculture fully automated and controlled by a smart vehicle and with assistance of Internet of Things (IoT). This project will be applied to a greenhouse to face water problems in Egypt. Whereas the smart vehicle will measure the temperature, humidity, CO2 levels, light intensity, soil moisture uploading this data to Azure cloud. The smart vehicle will irrigate the agricultural crops depending on the humidity & soil moisture to prevent wasting water and corrupting the crops. Also, the smart vehicle is provided with infrared sensors to detect and track the lanes in greenhouse in automatic mode, monitoring the status of the crops and the emergence of pests. the smart vehicle can be remotely controlled to spray the chemicals to the crop in manual mode, as it is extremely dangerous for human health. Sustainability is a part in the project that providing the smart vehicle with solar cells to recharge the battery and power bank. Also, implementing a water desalination system for water conservation by using saline water in agriculture.

Smart irrigation systems tailor watering schedules and run times automatically to meet specific landscape needs. These controllers significantly improve outdoor water use efficiencies. Unlike traditional irrigation controllers that operate on a preset programmed schedule and timers, smart irrigation controllers monitor weather, soil conditions, evaporation and plant water use to automatically adjust the watering schedule to actual conditions of the site. This experiment is performed on ESP8266 wifi module, send and receive data from ubidots.

An intelligent soil-based irrigation system using Arduino UNO that automates plant watering by monitoring soil moisture in real-time. It activates a water pump when moisture is low and stops when adequate. Ideal for smart gardening, it’s cost-effective, scalable, and energy-efficient.

Smart irrigation system for automated plant watering. Using sensors (soil moisture, temperature), it adjusts schedules based on real-time data. Users can control and monitor via a web interface. Includes IoT devices (ESP32), weather data integration, watering logs, and notifications. Ideal for smart home and garden automation.

IOT based SMART IRRIGATION SYSTEM can help in achieving optimum water resource utilization in the precision of farming landscape .This project mainly describes about an open source technology by sensing the ground parameter sensors such as HUMIDITY,TEMPERATURE,WIRELESS MOISTURE,WATER LEVEL. This was mainly a pure concept of IOT how the system monitor these sensors and tends to an result. The main aim of sensing the sensor was purely based on agriculture process. IOT is a bridging master of sensing using hardware. Wireless moisture sensor reduces the risk of laying wires in the land. Camera based and sound based bug detection help in securing the plants from bug. The complete system was based on development of sensing and monitoring the crops by concept of IOT. The System was based on irrigation so that the water flow can be controlled and reduced. The system only checks for the level of water by using these sensors and gives a effective result. Therefore, the system is predicting on application based sensors mainly to detect the water and save water in the field of agriculture.

The Smart Watering Pot integrates soil moisture sensors with an automated irrigation system for optimal plant watering. It features a mobile app for real-time monitoring of moisture levels and water tank status, with refill notifications. This project automates plant care, making it easier to maintain healthy plants with minimal effort.

An IoT-based system that monitors soil moisture levels and automates plant irrigation using NodeMCU, with real-time data access and remote control.

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Treesponse is a smart greenhouse monitoring system. Smart greenhouse is a concept of greenhouse that cultivates crops without human intervention. Crops in a smart greenhouse grow without adjustment of climate or any human interference by any means for a particular period. The smart greenhouse uses various microprocessors and sensors to perform functions such as controlling temperature and irrigation system. Any type of plant, fruit, and vegetables can be grown at any time of year in a smart greenhouse. This system is cost effective and improves efficiency & versatility of greenhouses.

Smart Garden IoT system using ESP32, Firebase Realtime Database, and a React Native mobile app for live plant monitoring and automated irrigation.

Smart Irrigation with Rain Prediction using ESP32 — An IoT-based system that automates plant watering by monitoring soil moisture and predicting rainfall through a weather API. The system conserves water by only irrigating when necessary and intelligently delaying irrigation if rain is expected.

Built an AI-driven smart agriculture system integrating IoT and deep learning for crop recommendation, plant disease detection, and fertilizer optimization, enabling automated irrigation and real-time farm monitoring through a mobile application.

Create a smart irrigation system for a garden that automatically waters plants based on soil moisture levels and weather forecasts. You can control and monitor the system through a GUI developed with PySide, hosted on a Flask server. The ESP32 will interface with sensors and control the irrigation system.

This project implements a Smart Irrigation System that automatically waters plants based on soil moisture levels. The system uses sensors to monitor soil conditions and controls a water pump to ensure plants receive the required amount of water without manual intervention.

AI-Powered IoT Smart Greenhouse using Arduino, ESP8266, and environmental sensors (DHT11, soil moisture, ultrasonic depth sensor). This system automatically monitors and adjusts temperature, humidity, and irrigation based on plant needs. It also features a camera module for plant health detection and allows remote control via WiFi.

A smart water irrigation system that automates plant watering using soil moisture, temperature, and humidity sensors. It controls a water pump via Arduino or Raspberry Pi, optimizing water use. Includes IoT monitoring, data logging, and future upgrades like weather-based and solar-powered control.

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.

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SmartPlant-Monitor is an intelligent plant management system based on the Arduino Mega 2560 microcontroller. Developed at the Technical University of Cluj-Napoca, this project addresses the common problem of manual watering, which often leads to human errors such as overwatering or underwatering.

Real-time plant monitoring with smart irrigation system and surveilance.

NeuroGrow is an AI-powered Smart Irrigation System using ESP32, IoT sensors, Kalman filter, and TinyML-based LSTM to monitor soil in real time and automate precise watering. It reduces water wastage by up to 30% while improving crop health through accurate, data-driven edge intelligence.

Smart Agri: IoT-Based Smart Agriculture System for Automated Plant Irrigation and Climate Monitoring

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IoT Based Smart Plant Monitoring and Automated Irrigation System with Edge AI Analysis

A IoT based device that will provide with smart irrigation system and plant monitoring

ESP32-based Smart Plant Monitoring and Automatic Irrigation System using DHT11 and Soil Moisture Sensor.

Smart irrigation system based on ESP32 and Blynk for automated plant care and remote monitoring.

Built an IoT-based smart plant monitoring and irrigation system using ESP32, integrating sensors to monitor environmental conditions. Built a responsive mobile app using React Native with MQTT for real-time data tracking, plantspecific alerts, automated watering via a relay-controlled pump and speaker output for notifications and media.