Paper Info
Title
Frost monitoring cyber-physical system: a survey on prediction and active protection methods
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.
Year
DOI
Venue
2020
10.1109/JIOT.2020.2972936
IEEE Internet of Things Journal
Keywords
DocType
Volume
Machine learning,Agriculture,Intelligent sensors,Actuators,Protocols,Internet of Things
Journal
7
Issue
ISSN
Citations 
7
2327-4662
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Ian Zhou181.48
Justin Lipman23210.19
Mehran Abolhasan345148.95
Negin Shariati412.07
David W. Lamb5209.00