A Comparative Study on Modern Smart Irrigation System and Monitoring the Field by using IOT

Kumar, Sandeep; Raja, Piyush; Bhargavi, G.

doi:10.1109/gucon.2018.8675026

Cited by 16 publications

(5 citation statements)

References 15 publications

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“…As a result, the system has the potential to alleviate some of the drawbacks of the current, time-consuming, and labor-intensive irrigation procedure. Sandeep Kumar et al (2018) [20] An entirely mechanical water structure is the primary goal of this article. As a result of this, the water system architecture is able to monitor and regulate all of its various operations with ease.…”

Section: Iot Based Smart Irrigation System For the Betterment Of The ...mentioning

confidence: 99%

A reviewed study on the IoT based smart irrigation system for the betterment of the agriculture system

Kumar,

Chandana

2024

Int. J. Res. Agron.

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Section: Iot Based Smart Irrigation System For the Betterment Of The ...mentioning

confidence: 99%

A reviewed study on the IoT based smart irrigation system for the betterment of the agriculture system

Kumar,

Chandana

2024

Int. J. Res. Agron.

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“…In this work, the implementations of wireless sensor networks for agriculture activities have been explicated [5]. These applications include crop production security against attacks by wild and domestic animals using IoT wireless sensor networks, and solar power harvesting at remote regions for use in agro -ecosystems [6].…”

Section: A Existing Systemmentioning

confidence: 99%

Investigation of Impact of Temperature on Proposed Device with Reference to DIEL CYCLE

Sonal¹,

Mishra²,

Mishra³

et al. 2023

IJIRCST

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A Proposed device designed to protect the crops not only from the birds but also it is equipped with the multiple sensors to sense and repel the wild animals also from the cropland. It is also designed to sense any kind of fire around the cropland. It can also sense the moisture level of soil and alarm the farmers about it if moisture level goes down or high. In this research paper we have done an experiment to check the effect of temperature on this device. We have kept this device under various environments with different temperature and keep on observing it 24 hours. This DIEL cycle of 24 hours in various temperatures shows the effects of temperature on this designed model. We have clearly found out the effects of temperature on this device and can work efficiently in our region. We can also extend this experiment in various regions of country also. For this experiment, we have chosen our local area of Ara, Bihta and Patna. We have tried to find out the difficulties in working environment of this device.

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“…Suresh Kumar et al. (2021) proposed a framework that would improve water consumption based on soil moisture, climatic forecasts, and so on. It also uses IoT technology to alert its owner on the current state of the soil and irrigation systems—a dampness sensor to assess water stress.…”

Section: Literature Surveymentioning

confidence: 99%

IoT and ML‐based automatic irrigation system for smart agriculture system

Anoop

Bala

2023

Agronomy Journal

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The development of the Internet of Things (IoT) and machine learning (ML) technologies has triggered smart agricultural systems. In smart agriculture, irrigation management plays a major role to reduce water waste. The monitoring settings, hardware modules, communication technology, and storage systems used in smart irrigation systems were analyzed to determine the optimal nature of water flow. This assessment aims to give an overview of the current state of the irrigation system by taking into account weather and soil moisture. This paper provides a comprehensive review of the utilization of various hardware modules in smart irrigation systems. Moreover, various communication technologies that aid in data transfer for efficient smart irrigation are reviewed. The ML method used for prediction is also evaluated, as well as based storage technologies like the cloud and databases used to store data for predictive irrigation systems. As a result, the paper provides an overview of all the factors that contribute to irrigation systems’ smart operation as well as potential future paths for improving agricultural systems through IoT.

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A Comparative Study on Modern Smart Irrigation System and Monitoring the Field by using IOT

Cited by 16 publications

References 15 publications

A reviewed study on the IoT based smart irrigation system for the betterment of the agriculture system

A reviewed study on the IoT based smart irrigation system for the betterment of the agriculture system

Investigation of Impact of Temperature on Proposed Device with Reference to DIEL CYCLE

IoT and ML‐based automatic irrigation system for smart agriculture system

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