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.

Trend in the IoT based smart devices is tremendously increasing day by day. By time more people are becoming aware of smart technology and its convenience in control and management of daily things seizes their attention. Smart energy meters (SEM) plays one role in this world of smart devices, to progress towards making the whole power system interconnected. In past three decades people had done much work on making power systems smart and thus there are plenty of published papers on smart meters. This project specifically uses different approach with additional functional development and better accuracy. Briefly, SEM is a remote monitoring and control device that automatically transmit data to utility, limits load to minimize load shedding trend, use operation techniques for generating stations for demand estimation and provide different options to consumers to manage their budget, like individual appliance power usage and cumulative plots. Transmitting data enables the utility computers to monitor the meter readings regularly to avert electricity theft. With the use of a programmable unit we can operate the meter to continuously monitors and records the readings in its permanent (nonvolatile) memory location in most feasible way. Whole world is connected through internet, and thus it is the most appropriate and common way of communication for a smart device. With internet there is need for additional security protocols and encrypted channels; but with this complexity meter can lead in many other ways that’s not possible through other channels. WIFI adapter connected with router sends data sample to internet after planted sample time. This data will then send towards consumer mobile application and towards utility, where computer will statistically analyze the data and show the results. As, the period end this adapter will receive bill from utility and controller will cut the supply off if payment time limit exceeds. So, with this bidirectional communication technique utility can send ads and other deals to some specific meter by time; and consumer can access direct support from utility.

An IoT-based smart plant monitoring and control system using ESP32

IoT based smart plant monitoring system application

AgroAid is a smart AI + IoT-based crop health monitoring and disease management system designed for farmers. It combines image-based plant disease detection using deep learning with real-time soil and weather monitoring through IoT sensors

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.

🌱 Smart Plant Monitoring & Control System — Distributed IoT network with 3 Arduino nodes (1 central + 2 edge) using I2C to autonomously balance light (servo positioning) and water (adaptive pump control) based on moisture, temperature, and ambient light. Features real-time logging, hierarchical decision logic, and expandable architecture.

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.

In this project we monitor and control the watering system of plants over the internet.

An IoT-based Smart Greenhouse system for automatic monitoring and control of environmental conditions to support efficient plant growth.

🌱💧 An IoT-based Smart Plant Monitoring and Watering System using ESP32, Soil Moisture Sensor, Relay, Motor, and Blynk App for real-time monitoring and control.

This repository contains a Raspberry Pi-based Smart Plant Care System that monitors plant health, detects pests/diseases using computer vision, and automates plant care tasks. The system integrates sensor data, machine learning, and IoT capabilities to create a comprehensive plant monitoring solution.

🌱 Smart Plant Monitoring System using ESP8266 & Blynk IoT. Monitors soil moisture, temperature, humidity, and motion, while controlling a water pump automatically or via mobile app. A complete IoT-based smart garden solution with DHT11, PIR sensor, relay, and LCD for real-time monitoring.

Smart Plant Monitoring System using Blynk IoT tracks soil moisture, temperature, humidity, and light in real-time. Get instant alerts on your phone, view data on dashboards, and automate devices like pumps or fans. Ideal for smart gardening, greenhouses, and IoT-based agriculture.

Harvest Health is a smart IoT-based crop health monitoring system that leverages real-time sensor data and machine learning to detect plant diseases, helping farmers make data-driven decisions with 98% accuracy.

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.

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.

Thimar is an integrated smart farming system designed to assist hydroponic growers by combining real-time environmental sensing with AI-based plant disease detection. The project leverages IoT sensors, a deep learning model, and a mobile interface to optimize crop health, automate monitoring, and support sustainable agriculture practices.

The main objective of this work is to design, validate, develop, and implement an IoT-based smart monitoring system using hardware sensors in multiple crop fields and household conditions with data management via a smartphone and a web application. The platform must be optimized for early warning issuance for plant disease epidemics.

Smart Plant Monitoring System Based IoT

IOT_Based_Smart_Plant_Monitoring_System

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IoT Based Smart Plant Monitoring System Description

IoT based smart agriculture plant monitoring system

This repository contains Bare-metal firmware in C to build a Smart Plant Monitoring System

Hardware based project

This project aims to develop an automated plant monitoring system leveraging sensor technology and automation to enhance plant growth and streamline care processes

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