IoT in Precision Agriculture for Sustainable Farming

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Madhuri Pattebahadur
Divyata Deoghare
Nidhi Borkar
Dipti Lambat
Rahul Lilhare

Abstract

The Internet of Things (IoT) application in precision agriculture greatly enhances sustainable farming techniques by supporting technological advancement in decision making. This research examines how sensor networks, autonomous machines, and real time data analytics as IoT technologies optimize resource use, increase crop production, and reduce environmental impacts of farming activities. The research demonstrates the advantages IoT offers in monitoring soil moisture, temperature, meteorological phenomena, crop vitality, and pest damages to accurately control irrigation, fertilization, and pesticide applications IoT's most contemporary programming challenges includes devices that involve big expenditures, connectivity limitations, and a shortage of qualified employees. The paper identifies the promise of IoT in developing an ecological, robust and productive food system that can address the global challenges of food insecurity without amplifying the damages done to the environment. Diagnosed issues have stimulated great interest in noticing that precision farming might be a part of the solution.

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How to Cite
Pattebahadur, M., Deoghare , D., Borkar , N., Lambat , D., & Lilhare , R. (2025). IoT in Precision Agriculture for Sustainable Farming. International Journal on Advanced Computer Engineering and Communication Technology, 14(1), 295–300. Retrieved from https://journals.mriindia.com/index.php/ijacect/article/view/458
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