Control and Monitoring System for Edaphoclimatic Variables in Rice Cultivation: Case Study

2019 ◽  
pp. 41-52
Author(s):  
Carlota Delgado-Vera ◽  
Evelyn Solis-Aviles ◽  
Andrea Sinche-Guzman ◽  
Yoansy Garcia-Ortega
Keyword(s):  
Monitoring System ◽  
Rice Cultivation ◽  
Control And Monitoring System

scholarly journals Design and implementation of IoT based environment pollution monitoring system: A case study of Iraq

2021 ◽  
Vol 1105 (1) ◽  
pp. 012037
Author(s):  
Taha E Al-jarakh ◽  
Osama A Hussein ◽  
Alaa K Al-azzawi ◽  
Mahmood F Mosleh
Keyword(s):  
Monitoring System ◽  
Pollution Monitoring ◽  
Environment Pollution ◽  
Design And Implementation ◽  
System A

scholarly journals IOT Based Real-Time Control and Monitoring System for Food Grain Procurement and Storage

2020 ◽  
Vol 993 ◽  
pp. 012079
Author(s):  
L K Hema ◽  
S Velmurugan ◽  
D N Sunil ◽  
S Thariq Aziz ◽  
S Thirunavkarasu
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Real Time Control ◽  
Time Control ◽  
Food Grain ◽  
Control And Monitoring System ◽  
And Storage

scholarly journals Assessing the Capacity of Adaptive Policy Pathways to Adapt on Time by Mapping Trigger Values to Their Outcomes

2019 ◽  
Vol 11 (6) ◽  
pp. 1716 ◽  
Author(s):  
Luciano Raso ◽  
Jan Kwakkel ◽  
Jos Timmermans
Keyword(s):  
Monitoring System ◽  
Decision Makers ◽  
Level Of Confidence ◽  
Adaptive Policy ◽  
Misclassification Errors ◽  
The Future ◽  
Adaptive Action ◽  
The Face

Climate change raises serious concerns for policymakers that want to ensure the success of long-term policies. To guarantee satisfactory decisions in the face of deep uncertainties, adaptive policy pathways might be used. Adaptive policy pathways are designed to take actions according to how the future will actually unfold. In adaptive pathways, a monitoring system collects the evidence required for activating the next adaptive action. This monitoring system is made of signposts and triggers. Signposts are indicators that track the performance of the pathway. When signposts reach pre-specified trigger values, the next action on the pathway is implemented. The effectiveness of the monitoring system is pivotal to the success of adaptive policy pathways, therefore the decision-makers would like to have sufficient confidence about the future capacity to adapt on time. “On time” means activating the next action on a pathway neither so early that it incurs unnecessary costs, nor so late that it incurs avoidable damages. In this paper, we show how mapping the relations between triggers and the probability of misclassification errors inform the level of confidence that a monitoring system for adaptive policy pathways can provide. Specifically, we present the “trigger-probability” mapping and the “trigger-consequences” mappings. The former mapping displays the interplay between trigger values for a given signpost and the level of confidence regarding whether change occurs and adaptation is needed. The latter mapping displays the interplay between trigger values for a given signpost and the consequences of misclassification errors for both adapting the policy or not. In a case study, we illustrate how these mappings can be used to test the effectiveness of a monitoring system, and how they can be integrated into the process of designing an adaptive policy.

A Case Study on the Implementation of a Business Monitoring System Using Notifications

2021 ◽  
Vol 34 (5) ◽  
pp. 755-774
Author(s):  
DoMyung Park ◽  
Doo-hwan Kim ◽  
HyungRim Choi
Keyword(s):  
Monitoring System
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