An IoT-Enabled Decision Support System for Improving Water Use Efficiency and Crop Yield in Citrus Groves
Journal of Smart and Sustainable Farming
Received On : 06 July 2025
Revised On : 12 August 2025
Accepted On : 30 September 2025
Published On : 10 October 2025
Volume 01, 2025
Pages : 170-180
Abstract
Water management is essential in semi-arid agriculture, where irrigation is a primary use of water. This paper measures an Internet of Things (IoT)-enabled Decision Support System (DSS) in precision irrigation in a citrus grove using a period of nine months. Two similar regions were compared: Field A was traditional farmer estimates, and Field B was the DSS algorithm of real-time soil moisture, temperature, and rain. DSS irrigation used 44,290 L of water (up by 46 percent over 96,569 L in traditional irrigation), yielding 91 kg/tree versus 67 kg/tree, which improved by 35 percent. The result was that Field B experienced 35% more revenue and saved 22.8 million cubic feet of water. Proceeding with DSS into national lemon production estimated the possible savings as more than 645 million liters and annual improvements of over 20,700 tons. The indicative outcome suggests that DSS-based irrigation is efficient regarding sustainable precision agriculture.
Keywords
Decision Support System (DSS), Precision Irrigation, Water Use Efficiency (WUE), IoT Agriculture, Citrus grove Yield, Smart Farming, Resource Optimization.
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Cite this Article
Alfreda Nowak, “An IoT-Enabled Decision Support System for Improving Water Use Efficiency and Crop Yield in Citrus Groves”, Journal of Smart and Sustainable Farming, pp. 170-180, 2025, doi: 10.64026/JSSF/2025017.