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pp. 953-964
S&M4357 Research paper https://doi.org/10.18494/SAM5790 Published: February 27, 2026 Long-range-based Intelligent Farming Management System [PDF] Li-Chan Lu, Min-Chie Chiu, Dyi-Cheng Chen, Shih-Ming Cho, Yi-Jie Hung, and Tian-Syung Lan (Received June 5, 2025; Accepted February 9, 2026) Keywords: LoRa, fined agriculture, livestock, poultry, organic, solar energy, wind energy
Agriculture and animal husbandry form the backbone of a country, and the global shortage of food and meat products has intensified efforts to increase agricultural production and livestock farming for self-sufficiency. Taiwan is importing most farm produce and livestock products, which makes it urgent to enhance agricultural and animal husbandry production capacity. All industries, including agriculture and animal husbandry, are experiencing a severe labor shortage, exacerbated by an aging workforce. To solve the labor shortage, industrial innovation in agriculture and animal husbandry is also necessary to increase the quality and quantity of the products with limited labor availability. Therefore, we developed a farming management system using intelligent automation technologies. We adopted a long-range (LoRa)-based monitoring system for the real-time monitoring and control of agriculture and animal husbandry. The system was equipped with sensors to detect and control environmental parameters, including temperature and humidity, to ensure the stable growth and high survival rate of livestock. To ensure sufficient space and water sources for livestock, ponds were integrated into the system enabling aquaculture and agriculture by using plankton generated from the livestock’s organically processed manure. The developed farming management system increases the amount of farm produce and livestock yield through a symbiosis approach.
Corresponding author: Min-Chie Chiu![]() ![]() This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Li-Chan Lu, Min-Chie Chiu, Dyi-Cheng Chen, Shih-Ming Cho, Yi-Jie Hung, and Tian-Syung Lan, Long-range-based Intelligent Farming Management System, Sens. Mater., Vol. 38, No. 2, 2026, p. 953-964. |