Document Type : Original Article
Authors
1
Assistant Research Agricultural Engineering Research Institute (AEnRI), Agricultural Research Center (ARC), Giza, Egypt.
2
Professor of Water and Irrigation Systems Engineering, Faculty of Agricultural Engineering, Al-Azhar University, Cairo, Egypt.
3
Head of Researcher Agricultural Engineering Research Institute (AEnRI), Agricultural Research Center (ARC), Giza, Egypt.
Abstract
Combining sensors with the Internet of Things (IoT) offers a promising solution for accurately monitoring soil moisture levels in the root zone of plants. For cultivating green beans within a greenhouse, an IoT-based, precise monitoring system was developed. Three irrigation levels, 100%, 80%, and 60%, and two irrigation systems, surface (SDI) and subsurface (SSDI) drip irrigation, under greenhouse conditions. The experiment was conducted at El-Sharkia governorate, Egypt, at latitude 30.416667° N and longitude 31.639833° E. Planting on 25 October 2022, and last harvesting on 14 March 2023. The results revealed that SSDI outperformed (SDI) in terms of yield. The (SSDI) enhances average green bean yield by approximately 11% compared to (SDI) for both full and deficit irrigation. The average yields are (26.844 t ha-1) and (30.156 t ha-1) for SDI and SSDI, respectively. These results suggest that SSDI, coupled with an irrigation treatment of 80% ETc, can maximize green bean yield while optimizing WUE. The productivity reached 33.614 t ha-1, and the seasonal water use value was 262.5 mm/season, while the WUE was 12.81 kg/m3. Implementing SSDI strategies that involve a 60% reduction in ETc throughout the entire growing season could be a viable approach in greenhouse. The productivity reached 32.466 t ha-1, and the seasonal water use value was 206.5 mm/season, while the WUE was 15.73 kg/m3. Therefore, the combination of Internet of Things technology, SSDI systems and deficit irrigation practices of 80% can enhance both WUE and green bean yield under greenhouse conditions.
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