Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/29720
Title: Frost Monitoring Cyber-Physical System: A Survey on Prediction and Active Protection Methods
Contributor(s): Zhou, Ian (author); Lipman, Justin (author); Abolhasan, Mehran (author); Shariati, Negin (author); Lamb, David W  (author)
Publication Date: 2020-07
Early Online Version: 2020-02-11
DOI: 10.1109/JIOT.2020.2972936
Handle Link: https://hdl.handle.net/1959.11/29720
Abstract: Frost damage in broadacre cropping and horticulture (including viticulture) results in substantial economic losses to producers and may also disrupt associated product value chains. Frost risk windows are changing in timing, frequency, and duration. Faced with the increasing cost of mitigation infrastructure and competition for resources (e.g., water and energy), multiperil insurance, and the need for supply chain certainty, producers are under pressure to innovate in order to manage and mitigate risk. Frost protection systems are cyber-physical systems (CPSs) consisting of sensors (event detection), intelligence (prediction), and actuators (active protection methods). The Internet-of-Things communication protocols joining the CPS components are also evaluated. In this context, this article introduces and reviews existing methods of frost management. This article focuses on active protection methods because of their potential for real-time deployment during frost events. For integrated frost prediction and active protection systems, prediction method, sensor types, and integration architecture are assessed, research gaps are identified and future research directions proposed.
Publication Type: Journal Article
Source of Publication: IEEE Internet of Things Journal, 7(7), p. 6514-6527
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Place of Publication: United States of America
ISSN: 2327-4662
Fields of Research (FoR) 2008: 070604 Oenology and Viticulture
090602 Control Systems, Robotics and Automation
Fields of Research (FoR) 2020: 300805 Oenology and viticulture
400711 Simulation, modelling, and programming of mechatronics systems
Socio-Economic Objective (SEO) 2008: 820299 Horticultural Crops not elsewhere classified
Socio-Economic Objective (SEO) 2020: 260599 Horticultural crops not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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