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ISSN: 2321-9653
Estd : 2013
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Ijraset Journal For Research in Applied Science and Engineering Technology

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Smart Irrigation System Using Moisture Level Sensor

Authors: Arunkumar C, Mathesh R, Mohamed Saabir M, Mahalingam P

DOI Link: https://doi.org/10.22214/ijraset.2023.52040

Certificate: View Certificate

Abstract

Farming is the cultivation of plants and livestock. Plant monitoring is one of the most important tasks in farming. The goal of this paper is to use IoT in the NodeMCU system platform for plant monitoring and smart gardening. The primary goal of this paper is to reduce direct interaction and provide comfort to the farmer by improving the system\'s overall performance. Humidity, sunlight, and soil moisture are important factors to consider when monitoring plant productivity. Plant growth and health information must be provided to the user on a continuous basis by monitoring and recording these parameters. The NodeMCU interfaces with all of the sensors used in this project. Farmers can use IoT to directly monitor and control plant information via their smart phones. By sensing and controlling the parameters of the plants without their physical presence, this smart plant monitoring system will provide the user with convenience and comfort. The smart plant monitoring application can be installed on any Android-enabled device. The software used is the Arduino IDE and the IoT platform. The Arduino IDE is used to compile and upload the programme to the NodeMCU, and the IoT platform is used to display temperature, humidity, atmospheric pressure, and soil moisture from a distance. This will assist the farmer in understanding the relationship between plant growth and mentioned plant parameter.

Introduction

I. INTRODUCTION

This project aims to create a smart houseplant watering and monitoring system that analyses and records environmental factors to help plants thrive. Sensors collect and evaluate data regarding changing weather and soil moisture levels before sending timely warnings to the user's Android phone. The current approach is based on observation with the naked eye, which is a time-consuming process. To detect plant disease at an early stage, automatic detection of plant disease can be used. The project aims to make the managing of plants easy for the customer using IOT and machine learning, reducing manpower and saving time.

The Indoor Plant Monitoring System is an IOT application that can be accessed from Android devices and provides user manuals to guide customers. Automation is the key to empowering several sectors of Pakistan's economy, and IoT is a technique of using computers, mobile phones, or digital devices in monitoring and controlling the simple parameters of day-to-day life. Data exchange is the key factor for IoT, and people are using automation for simple things. The Internet of Things (IoT) is the future of current technology and will be 20 billion-plus digital devices interconnected over the internet in 2020. It is an integration of digital devices, people, and processes for meaningful communication and operation of any real-life system.

IoT based system development is harder due to a lack of flexible and proper integration of digital devices. Cloud things architecture that integrates cloud computing and the Internet of Things is a solution to the challenges of IoT based systems.

II. OBJECTIVE

The main objective of this project is to detect the moisture content, temperature and humidity in the soil. It may support to control water  usage and wastage of water. This is also suitable to check the soil conditions as well, which may help to start a better growth of a plant

III. LITERATURE REVIEW

  1. “Enhancement of plant monitoring using IoT” by A.Pravin, T.Prem Jacob and P.Asha.
  2. “An IoT based plant health monitoring system implementing  using Image Processing” by Monirul Islam Pavel, Syed  Mohammed Kamruzzaman.
  3. " Monitoring of hydroponics system using IoT technology " by Nivesh Patil, Shubham Patil, Animesh Uttekar, A.R.Suryawanshi.
  4. “Interfacing NODEMCU ESP8266 with ARDUINO IDE” by Ganesh Khomane.

Conclusion

This project presented a smart irrigation system which could be deployed in gardens or fields. The Smart irrigation System operates perfectly and sends all the sensor values to Thing Speak. This data is then sent to app. The app and the system work perfectly as they were expected to be. Automation has been implemented and organized properly in this system. The efficient automation on monitoring and control of the plants requires new and revolutionary solutions. Wireless sensor networks can respond to requirement by offering an accurate and easily configurable monitoring system. In this work we are using the moisture sensor and light sensor with which, we could efficiently monitor the basic resources of the plant. This is prototype of the monitoring and control system for plants. Unlike other automated systems which relies on automated data, our model is more “Intelligent” to utilize the resources according to the changes in weather conditions. Our model has the capability to integrate with any mobile platform, Since the broker service is running on a cloud-based service it is scalable.

References

[1] Enhancement of plant monitoring using IoT https://www.researchgate.net/publication/327222639_Enhancement_of_Plant_Monitoring_Using_IoT [2] An IoT based plant health monitoring system implementing using Image Processing https://ieeexplore.ieee.org/document/8821782 [3] Monitoring of hydroponics system using IoT technology https://www.irjet.net/archives/V7/i6/IRJET-V7I6269.pdf [4] Interfacing NODEMCU ESP8266 with ARDUINO IDE https://www.electronicwings.com/arduino/esp8266-wifi-module-interfacing-with-arduino-uno

Copyright

Copyright © 2023 Arunkumar C, Mathesh R, Mohamed Saabir M, Mahalingam P. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Paper Id : IJRASET52040

Publish Date : 2023-05-11

ISSN : 2321-9653

Publisher Name : IJRASET

DOI Link : Click Here