Developing an IoT-Enabled Cloud Management Platform for Agricultural Machinery Equipped with Automatic Navigation Systems

Fan Zhang, Wenyu Zhang, Xiwen Luo, Zhigang Zhang, Yueteng Lu and Ben Wang
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Fan Zhang: Key Laboratory of the Ministry of Education of China for Key Technologies for Agricultural Machine and Equipment, South China Agricultural University, Guangzhou 510642, China
Wenyu Zhang: Key Laboratory of the Ministry of Education of China for Key Technologies for Agricultural Machine and Equipment, South China Agricultural University, Guangzhou 510642, China
Xiwen Luo: Key Laboratory of the Ministry of Education of China for Key Technologies for Agricultural Machine and Equipment, South China Agricultural University, Guangzhou 510642, China
Zhigang Zhang: Key Laboratory of the Ministry of Education of China for Key Technologies for Agricultural Machine and Equipment, South China Agricultural University, Guangzhou 510642, China
Yueteng Lu: Key Laboratory of the Ministry of Education of China for Key Technologies for Agricultural Machine and Equipment, South China Agricultural University, Guangzhou 510642, China
Ben Wang: Key Laboratory of the Ministry of Education of China for Key Technologies for Agricultural Machine and Equipment, South China Agricultural University, Guangzhou 510642, China

Agriculture, 2022, vol. 12, issue 2, 1-19

Abstract: Smart farming uses advanced tools and technologies such as intelligent agricultural machines, high-precision sensors, navigation systems, and sophisticated computer systems to increase the economic benefits of agriculture and reduce the associated human effort. With the increasing demands of individualized farming operations, the internet of things is a crucial technique for acquiring, monitoring, processing, and managing the agricultural resource data of precision agriculture and ecological monitoring domains. Here, an internet of things-based system scheme integrating the most recent technologies for designing a management platform for agricultural machines equipped with automatic navigation systems is proposed. Various agricultural machinery cyber-models and their corresponding sensor nodes were constructed in a pre-production phase. Three key enabling technologies—multi-optimization of agricultural machinery scheduling, development of physical architecture and software, and integration of the controller-area-network with a mobile network—were addressed to support the system scheme. A demonstrative prototype system was developed and a case study was used to validate the feasibility and effectiveness of the proposed approach.

Keywords: smart farming; internet of things; intelligent agricultural machines; management platform; agricultural machinery scheduling (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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