UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 1 | January 2026

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Volume 13 Issue 1
January-2026
eISSN: 2349-5162

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Published Paper ID:
JETIR2601251


Registration ID:
573779

Page Number

c425-c427

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Title

IoT-Based Water Irrigation System & Crop Suggestion Platform For Enhance Precision Agriculture

Abstract

Agriculture is a backbone of the Indian economy, but it suffers from severe water scarcity, irregular weather conditions, and soil degradation, which directly affect crop yield and resource sustainability. This review discusses an IoT- based platform to address these issues through precision agriculture, focusing on smart irrigation and data-driven crop suggestions. It integrates IoT sensors for monitoring environmental conditions such as soil moisture, temperature, and humidity by offering the opportunity for scheduled automated irrigation based on this data, which helps to reduce over-irrigation and saves water. It also supplies farmers with crop recommendations tailored for the soil and seasons, thus enhancing productivity while adapting to conditions. The userfriendly interface, available both through smartphones and computers, is a very promising approach, considering its application even in the remote villages of the country where there is hardly any technological infrastructure. The results from the experimental trials prove to be successful as productivity increases by 25% in agriculture and decreases water usage by 30%. Combining the benefits of IoT technology with conventional farming techniques, this platform ensures sustainability by building resilience in Indian agriculture. This review looks into the transformative potential of IoT in addressing critical agricultural challenges, supporting food security, and promoting environmental stewardship in India.

Key Words

agriculture, irrigation, iot,edge computing

Cite This Article

"IoT-Based Water Irrigation System & Crop Suggestion Platform For Enhance Precision Agriculture ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 1, page no.c425-c427, January-2026, Available :http://www.jetir.org/papers/JETIR2601251.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"IoT-Based Water Irrigation System & Crop Suggestion Platform For Enhance Precision Agriculture ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 1, page no. ppc425-c427, January-2026, Available at : http://www.jetir.org/papers/JETIR2601251.pdf

Publication Details

Published Paper ID: JETIR2601251
Registration ID: 573779
Published In: Volume 13 | Issue 1 | Year January-2026
DOI (Digital Object Identifier):
Page No: c425-c427
Country: nagpur, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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