4.7 Article

A Life Cycle Framework of Green IoT-Based Agriculture and Its Finance, Operation, and Management Issues

期刊

IEEE COMMUNICATIONS MAGAZINE
卷 57, 期 3, 页码 90-96

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MCOM.2019.1800332

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资金

  1. National Natural Science Foundation of China [71703122, 71531002, 71503199]
  2. National Special Fund for Modern Agricultural Industry Technology System on Oats and Buckwheat [CARS-07-F-1]
  3. China Ministry of Education Social Sciences and Humanities Research Youth Fund [16YJC630102]
  4. Natural Science Basic Research Project in Shaanxi Province [2016JQ7005]
  5. Science and Technology Plan Projects of Yangling Demonstration Zone [2016RKX-04]
  6. Fundamental Research Funds for the Central Universities [2018RWSK02]
  7. Hong Kong Polytechnic University Internal Project

向作者/读者索取更多资源

The increasing population in the world forces humans to improve farm yields using advanced technologies. The Internet of Things (IoT) is one promising technique to achieve precision agriculture, which is expected to greatly increase yields. However, the large-scale application of IoT systems in agriculture is facing challenges such as huge investment in agriculture IoT systems and non-tech-savvy farmers. To identify these challenges, we summarize the applications of IoT techniques in agriculture in four categories: controlled environment planting, open-field planting, livestock breeding, and aquaculture and aquaponics. The focus on implementing agriculture IoT systems is suggested to be expanded from the growth cycle to the agri-products life cycle. Meanwhile, the energy concern should be considered in the implementation of agriculture IoT systems. The construction of green IoT systems in the whole life cycle of agri-products will have great impact on farmers' interest in IoT techniques. With the life cycle framework, emerging finance, operation, and management (FOM) issues in the implementation of green IoT systems in agriculture are observed, such as IoT finance, supply chain and big data financing, network nodes recharging and repairing, and IoT data management. These FOM issues call for innovative farm production modes and new types of agribusiness enterprises.

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