Journal of Advances in Developmental Research

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Smart Irrigation for Efficient Water Management in Agriculture

Author(s) Surya Pogu Jayanna, Siddiqa Khatoon, N.Sathvika, M.Uma Maheshwari, Y.Geethika
Country India
Abstract This paper proposes the design, implementation, and evaluation of a smart irrigation system that utilizes IOT devices and machine learning to make decisions and also incorporates a multilingual web interface. The system is capable of monitoring environmental factors and making decisions based on the results of the data processed by the trained random forest model, which is used in making decisions in the system to automatically meet irrigation demands and hence reduce water waste and improve crop yield of essential crops such as rice, wheat, and cotton. The system is also efficient in operating offline, and the simulation mode is an added feature of the system. It is therefore clear from the results that the proposed system is an efficient and effective method of water management in agricultural activities.
Keywords Smart Irrigation, Machine Learning, Internet of Things (IoT) – Soil, DHT11, Arduino, Random Forest, Precision Agriculture, Water Management, Less farmer effort, Sustainable Agriculture, Multilingual Interface.
Field Engineering
Published In Volume 17, Issue 1, January-June 2026
Published On 2026-04-12
Cite This Smart Irrigation for Efficient Water Management in Agriculture - Surya Pogu Jayanna, Siddiqa Khatoon, N.Sathvika, M.Uma Maheshwari, Y.Geethika - IJAIDR Volume 17, Issue 1, January-June 2026. DOI 10.71097/IJAIDR.v17.i1.1820
DOI https://doi.org/10.71097/IJAIDR.v17.i1.1820
Short DOI https://doi.org/hbxc44
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