{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T05:30:01Z","timestamp":1781328601744,"version":"3.54.1"},"reference-count":49,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2021,6,17]],"date-time":"2021-06-17T00:00:00Z","timestamp":1623888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Over recent years, the demand for supplies of freshwater is escalating with the increasing food demand of a fast-growing population. The agriculture sector of Pakistan contributes to 26% of its GDP and employs 43% of the entire labor force. However, the currently used traditional farming methods such as flood irrigation and rotating water allocation system (Warabandi) results in excess and untimely water usage, as well as low crop yield. Internet of things (IoT) solutions based on real-time farm sensor data and intelligent decision support systems have led to many smart farming solutions, thus improving water utilization. The objective of this study was to compare and optimize water usage in a 2-acre lemon farm test site in Gadap, Karachi, for a 9-month duration, by deploying an indigenously developed IoT device and an agriculture-based decision support system (DSS). The sensor data are wirelessly collected over the cloud and a mobile application, as well as a web-based information visualization, and a DSS system makes irrigation recommendations. The DSS system is based on weather data (temperature and humidity), real time in situ sensor data from the IoT device deployed in the farm, and crop data (Kc and crop type). These data are supplied to the Penman\u2013Monteith and crop coefficient model to make recommendations for irrigation schedules in the test site. The results show impressive water savings (~50%) combined with increased yield (35%) when compared with water usage and crop yields in a neighboring 2-acre lemon farm where traditional irrigation scheduling was employed and where harsh conditions sometimes resulted in temperatures in excess of 50 \u00b0C.<\/jats:p>","DOI":"10.3390\/s21124175","type":"journal-article","created":{"date-parts":[[2021,6,17]],"date-time":"2021-06-17T21:29:16Z","timestamp":1623965356000},"page":"4175","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":43,"title":["An Experimental Comparison of IoT-Based and Traditional Irrigation Scheduling on a Flood-Irrigated Subtropical Lemon Farm"],"prefix":"10.3390","volume":"21","author":[{"given":"Huma","family":"Zia","sequence":"first","affiliation":[{"name":"College of Engineering, Abu Dhabi University, Zayed City, Abu Dhabi P.O. Box 59911, United Arab Emirates"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahsan","family":"Rehman","sequence":"additional","affiliation":[{"name":"Smart City Lab, NCAI (National Center of Artificial Intelligence), NED University of Engineering and Technology, Karachi 75270, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4122-2219","authenticated-orcid":false,"given":"Nick R.","family":"Harris","sequence":"additional","affiliation":[{"name":"Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sundus","family":"Fatima","sequence":"additional","affiliation":[{"name":"Smart City Lab, NCAI (National Center of Artificial Intelligence), NED University of Engineering and Technology, Karachi 75270, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad","family":"Khurram","sequence":"additional","affiliation":[{"name":"Smart City Lab, NCAI (National Center of Artificial Intelligence), NED University of Engineering and Technology, Karachi 75270, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,6,17]]},"reference":[{"key":"ref_1","first-page":"145","article-title":"Economic perspectives of major field crops of Pakistan: An empirical study","volume":"1","author":"Rehman","year":"2015","journal-title":"Pac. 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