Low-Cost IOT-Based Intelligence Saffron Management System

Citation

Pang, Wai Leong and WANG, Jieru and Goh, Hui Hwang and Phang, Swee King and AHMAD, Hafisoh and Chan, Kah Yoong (2025) Low-Cost IOT-Based Intelligence Saffron Management System. INMATEH Agricultural Engineering, 76 (2). pp. 318-326. ISSN 2068-4215

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Abstract

Saffron is a high-value crop that requires low growing temperatures and cannot be cultivated in equatorial climates. To address this limitation, an IoT-based Intelligent Saffron Management System (IISMS) is proposed to simulate suitable growing conditions for saffron cultivation in equatorial regions. The IISMS remotely monitors key environmental parameters, and the collected data is displayed via a mobile APP over a Wi-Fi network. The cooling system is automatically activated when the temperature exceeds 10 °C, which is the critical threshold required during the flowering phase. Similarly, the irrigation system is triggered when soil moisture drops below 70%. By providing responsive and automated crop management, the IISMS optimizes growth conditions and improves yield quality. Experimental results showed that saffron cultivated under the IISMS was healthier, taller, exhibited more green shoots, and was generally stronger compared to saffron grown under standard room conditions in Malaysia.

Item Type: Article
Uncontrolled Keywords: Internet of Things, low-cost, saffron, smart agriculture
Subjects: S Agriculture > S Agriculture (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User: Nurin Syazwani Azmi
Date Deposited: 04 Nov 2025 08:52
Last Modified: 07 Nov 2025 04:14
URII: http://shdl.mmu.edu.my/id/eprint/14694

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