Title: AgriTalk: IoT for Precision Soil Farming of Turmeric Cultivation
Authors: Chen, Wen-Liang
Lin, Yi-Bing
Lin, Yun-Wei
Chen, Robert
Liao, Jyun-Kai
Ng, Fung-Ling
Chan, Yuan-Yao
Liu, You-Cheng
Wang, Chin-Cheng
Chiu, Cheng-Hsun
Yen, Tai-Hsiang
生物科技學院
資訊工程學系
College of Biological Science and Technology
Department of Computer Science
Keywords: Artificial intelligence;Internet of Things (IoT);precision farming;soil cultivation;turmeric
Issue Date: 1-Jun-2019
Abstract: This paper proposes AgriTalk, an inexpensive Internet of Things (IoT) platform for precision farming of soil cultivation. We conduct experiments on turmeric cultivation, which indicates that the turmeric quality is significantly enhanced through AgriTalk. Specifically, the curcumin concentration is up to 4500-5500 mg/100 g, which is five times more than existing products. We demonstrate how to intuitively configure the connections between the sensors and the actuators with the desired farming intelligence, and to effectively maintain AgriTalk for precision farming. We conduct measurement, analytic analysis, and simulation experiments to investigate the IoT message delays of AgriTalk. This paper indicates that the delays for automatic control and automatic-manual control switching with long distances (more than 30 km) are very short (less than 0.2 s) and AgriTalk can easily respond to quick and dynamic change of the field environment conditions in soil cultivation.
URI: http://dx.doi.org/10.1109/JIOT.2019.2899128
http://hdl.handle.net/11536/152201
ISSN: 2327-4662
DOI: 10.1109/JIOT.2019.2899128
Journal: IEEE INTERNET OF THINGS JOURNAL
Volume: 6
Issue: 3
Begin Page: 5209
End Page: 5223
Appears in Collections:Articles