The Smart IoT based Automated Irrigation System using Arduino UNO and Soil Moisture Sensor

Gnanavel, S.; Sreekrishna, M.; Duraimurugan, N.; Jaeyalakshmi, M; Loksharan, S

doi:10.1109/icssit53264.2022.9716368

Cited by 23 publications

(4 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is not possible to obtain thorough data and samples that demonstrate the amount of water that particular crops require in a variety of situations. Additionally, the sample size is insufficient, which results in conclusions that are not true.In the article [2], Using this strategy, you will have everything you require to construct a measurement or control application in a short amount of time. The incorporation of a rain sensor into the design is even more significant in terms of reducing the amount of electricity that is consumed [3].…”

Section: Related Workmentioning

confidence: 99%

Enhancing Crop Water Management: A Logistic Regression Approach Integrated with IoT for Smart Irrigation

Gopathoti,

Gopatoti,

Swathi

et al. 2024

IJSMCSE

View full text Add to dashboard Cite

This study explores the integration of logistic regression with Internet of Things (IoT) technology to optimize water management in agriculture. Efficient irrigation systems are vital for boosting crop yields while preserving water resources, which is becoming more important due to the growing demand for food and the challenges caused by climate change. The suggested method makes use of Internet of Things (IoT) sensors to gather weather predictions, soil moisture levels, humidity, and temperature readings in real time. In order to determine how much water crops will use, this data is utilized to train a logistic regression model. Supervised learning is made possible by generating labelled data through the analysis of expert knowledge and past irrigation practices. The model's performance is evaluated using metrics such as accuracy, precision, recall, and F1-score. Once validated, the logistic regression model is deployed within the IoT system to provide real-time predictions of crop water requirements. Through automation and data-driven decision-making, farmers can optimize irrigation schedules, minimize water wastage, and enhance crop productivity. This integrated approach represents a significant step towards sustainable agriculture and resource-efficient farming practices.

show abstract

Section: Related Workmentioning

confidence: 99%

Enhancing Crop Water Management: A Logistic Regression Approach Integrated with IoT for Smart Irrigation

Gopathoti,

Gopatoti,

Swathi

et al. 2024

IJSMCSE

View full text Add to dashboard Cite

show abstract

“…Auto irrigation applications for crop monitoring systems can be used to water plants automatically or to provide information about the health of the plants [7]. They can also be used to monitor soil moisture levels and temperature [8]- [11]. The use of global system for mobile communication (GSM) technology for auto irrigation systems can have several potential benefits, specifically in terms of saving water and improving crop yields [12]- [14].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Arduino based irrigation monitoring system using Node microcontroller unit and Blynk application

Shahar,

Ismail,

Dzulkefli

et al. 2023

IJEECS

View full text Add to dashboard Cite

In the case of traditional irrigation systems, irrigation is done manually by the user. Since the water is irrigated directly into the land, plants undergo high stress from variations in soil moisture, and therefore plant appearance is reduced. The objective is for remote monitoring and controlling devices, which are controlled using a Wi-Fi module, and to optimize water consumption. The sensors collect and evaluate data regarding changing weather, soil moisture levels, and water levels before sending timely notifications to the user's phone and desktop. The system also contains a device application (Blynk) that runs on various devices and may be used to monitor plant conditions at the user's workplace. It constantly monitors the situation and notifies the user of any developments that necessitate urgent action. It combines the sensor devices, Node microcontroller unit (NodeMCU), and Arduino to work together to meet the system's objectives.

show abstract

“…In a previous research project, the Arduino microcontroller was used to control the amount of water in a tank automatically. A flowchart was created from well-defined algorithms, from which codes were written and generated on the Arduino IDE [8], [9], [17]. It is similar with another research as in [6], [7], [11], Arduino is used as the main controller.…”

mentioning

confidence: 99%

“…Some previous research has been carried out related to the internet of things (IoT) implementation of water level control system. The research on water level controller has moved to the next level which could be controlled wirelessly and some could retrieved data from the system via cloud [8], [14], [19]- [21]. As in [22], the water level control system is controlled using mobile application to set its water level setpoint.…”

mentioning

confidence: 99%

Development of dam controller technology water level and alert system using Arduino UNO

Zin

Kamal

Ismail

et al. 2023

IJEECS

View full text Add to dashboard Cite

Recently, various water level detection monitoring systems integrations were implemented to various places such as rivers and reservoirs to avoid floods. Thus, it is determined to construct a project primarily focused on water level management, named dam controller technology (DCOTech). DCOTech is a system that controls the amount of water in a reservoir using a microcontroller ATMEGA328p and several functions to prevent flash floods. Water sustainability requires proper monitoring via sensors and a controller. Moreover, a buzzer is used in DCOTech to give a warning signal to the people around and the residents. The water level sensor was constructed with a metal plate attached at both the bottom and top edges of the reservoir. The results obtained met expectations; whenever the sensor detects the water level is low, the green light emitting diode (LED) is turned on; otherwise, when the sensor detects the water level is high, the drain valve is opened, and simultaneously, turned on the buzzer to alert the surrounding. The goal of this project is to integrate a control system into an autonomous water level controller. This study aims to provide a solution to unexpected floods and to notify inhabitants when the water level is dangerously high.

show abstract

The Smart IoT based Automated Irrigation System using Arduino UNO and Soil Moisture Sensor

Cited by 23 publications

References 4 publications

Enhancing Crop Water Management: A Logistic Regression Approach Integrated with IoT for Smart Irrigation

Enhancing Crop Water Management: A Logistic Regression Approach Integrated with IoT for Smart Irrigation

Arduino based irrigation monitoring system using Node microcontroller unit and Blynk application

Development of dam controller technology water level and alert system using Arduino UNO

Contact Info

Product

Resources

About