Plant monitoring system using IoT, MongoDB, and Flutter

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.

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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

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.

Plants health monitoring system through IOT. Identifying plant's current temperature, humidity and moisture using esp8266.

This project is a complete solution on an IoT based plant parameters monitoring system at University of Karachi. All the results will be collected at the Things Speak Server with Excel Spreadsheets and Visualization format

Undergraduate Thesis | Title: IoT-Based Fault Detection and Monitoring System in Solar Power Plant Using Machine Learning and Digital Twin Technology

In a world where people are talking about increase in the usage of non-polluting and renewable sources of energy, monitoring and controlling such biogas plants remotely becomes very important. Monitoring the properties like pH, temperature, pressure and total amount of gas produced and consumed will help in understanding the health of the biogas plant. The whole process of offline monitoring has to be replaced with an online automation system. To overcome the barrier of data connectivity issues in the rural area, GSM based data transfer has to be used. In this paper, an IoT based efficiency monitoring system for biogas plants is proposed. An Arduino micro-controller system is deployed and tested to measure the gas production and consumption. Android based application is designed to act as an SMS gateway which is a free replacement for commercial solution. A dashboard plotting the usage statistics is designed to help the plant administrator to monitor the parameters.

In this tutorial we will learn how to make a plant monitoring system using Tuya cloud. This plant monitoring system is IOT based project.

An IoT-based Automatic Plant Watering System that monitors soil moisture levels and waters plants accordingly, using sensors and microcontrollers to ensure efficient water management

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

An IoT-based intelligent soil stress monitoring system that uses ESP32 microcontroller with multiple sensors to detect plant & soil stress conditions and automate irrigation. The system provides real-time monitoring, data analytics, and automated responses to maintain optimal plant health.

POTS is an IoT-based system for plant care. It monitors soil moisture, humidity and temperature using sensors, then controls irrigation remotely via dashboard. With Wi-Fi connectivity, users can access real-time plant data via Arduino Cloud.

🌱 IoT-Enabled Hydroponic System is a smart farming solution that grows plants without soil using nutrient-rich water. Sensors monitor pH, temperature, humidity, and water levels, while a microcontroller sends real-time data to the cloud for remote monitoring and automated control, ensuring efficient and sustainable plant growth. 🚀

A full-stack IoT solution for monitoring and maintaining the health of carnivorous plants in a greenhouse environment. This system uses a network of sensors and cameras with a dual Raspberry Pi setup to collect data, analyze plant health, and provide actionable insights.

An IoT and AI system monitors plant environments using sensors for air quality, soil moisture, temperature, and humidity. Data is sent to a web application displaying real-time conditions. An AI chat interface (currently using me, Gemini) analyzes sensor readings to provide plant-specific advice on suitability and care.

It's image proccessing and developing based agro project.It’s agro project. Using image processing to find out the plants disease and give treatment. It give us community, fertilizer calculator, weather forecast, agro information, help center, farm monitoring system by IoT etc.

🌱 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.

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.

🌱 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.

A practical IoT system for monitoring plant health and preventing damage using ESP8266.

Sustainable hydroponic farming system using AI + IoT for automated crop monitoring, environmental control, and plant disease detection

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

🌱💧 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.

BK Smart Garden: IoT system for automated plant care using ESP32 & HiveMQ. Features environmental monitoring, auto/manual watering, and data sync via Web Dashboard.

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