AgriSens: IoT-Based Dynamic Irrigation Scheduling System for Water Management of Irrigated Crops


In this article, we present the design of an Internet-of-Things (IoT)-based dynamic irrigation scheduling system (AgriSens) for efficient water management of irrigated crop fields. The AgriSens provides real time, automatic, dynamic as well as remote manual irrigation treatment for different growth phases of a crop's life cycle using IoT. A low-cost water-level sensor is designed to measure the level of water present in a field. We propose an algorithm for automatic dynamic-cum-manual irrigation based on farmer requirements. The AgriSens has a farmer-friendly user interface, which provides field information to the farmers in a multimodal manner-visual display, cell phone, and Web portal. It achieves significant results with respect to different performance metrics, such as data validation, packet delivery ratio, energy consumption, and failure rate in various climatic conditions and with dynamic irrigation treatments. Experimental results show that the AgriSens helps improve the crop productivity by at most 10.21% over the traditional manual irrigation method, expands the network's lifetime 2.5 times more than the existing system yet achieving a reliability of 94% even after 500 h of operation.


Computer Science

Research Center/Lab(s)

Center for High Performance Computing Research

Second Research Center/Lab

Intelligent Systems Center


This work was supported by the Ministry of Human Resource Development, Government of India under MHRD/IIT Kharagpur Food Security Project under Grant 4-25/2013-TS-I. The work of Sajal K. Das was supported in part by NSF under Grant SCC-1952045.

Keywords and Phrases

Internet of Things (IoT); irrigated crop; precision agriculture; smart irrigation; water management system; wireless sensor node

International Standard Serial Number (ISSN)


Document Type

Article - Journal

Document Version


File Type





© 2021 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

15 Mar 2021