Artificial intelligence-based agriculture automated monitoring systems using WSN

Author(s):  
Vigneshkumar Vijayakumar ◽  
Nagaraj Balakrishnan
1993 ◽  
Vol 36 (5) ◽  
pp. 602-607
Author(s):  
A. I. Perrote ◽  
E. M. Nikanorov ◽  
Yu. I. Grabchak ◽  
O. P. Lyz'

2021 ◽  
Vol 2069 (1) ◽  
pp. 012192
Author(s):  
Jevgenis Telicko ◽  
Daniels Dagis Vidulejs ◽  
Andris Jakovics

Abstract Monitoring systems allow operators to accomplish the greatest comfort indoors, but, as a rule, the available parameters are not enough to analyse the epidemiological threat in buildings. Due to the pandemic and increasing incidence of the disease, there is a need for monitoring systems that can provide the necessary information to analyse the risk of infection. With timely notification of people about the risks, such a system could not only increase safety in buildings, but also save crucial resources such as the work of medical personnel. This paper presents an example of real-world implementation of a cheap and scalable system to indicate risks and inform people inside. To achieve this, an appropriate set of sensors and communication protocols was selected, and processing of indirect measurements with artificial intelligence (AI) algorithms was carried out on an embedded Jetson Nano computer. Based on the experiments and a review of the literature, the necessary parameters for measurements were selected. Detailed analysis of measured data for risk evaluation is provided in [1].


Animals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 3048
Author(s):  
Alessia Diana ◽  
Marina Salas ◽  
Zjef Pereboom ◽  
Michael Mendl ◽  
Tomas Norton

A top priority of modern zoos is to ensure good animal welfare (AW), thus, efforts towards improving AW monitoring are increasing. Welfare assessments are performed through more traditional approaches by employing direct observations and time-consuming data collection that require trained specialists. These limitations may be overcome through automated monitoring using wearable or remotely placed sensors. However, in this fast-developing field, the level of automated AW monitoring used in zoos is unclear. Hence, the aim of this systematic literature review was to investigate research conducted on the use of technology for AW assessment in zoos with a focus on real-time automated monitoring systems. The search led to 19 publications with 18 of them published in the last six years. Studies focused on mammals (89.5%) with elephant as the most studied species followed by primates. The most used technologies were camera (52.6%) and wearable sensors (31.6%) mainly used to measure behaviour, while the use of algorithms was reported in two publications only. This research area is still young in zoos and mainly focused on large mammals. Despite an increase in publications employing automated AW monitoring in the last years, the potential for this to become an extra useful tool needs further research.


The article describes the automated monitoring of buildings and structures using sensors. Criteria of need to deploy the automated monitoring system (according to the Town Planning Code of the Russian Federation) are specified. Various types and examples of objects subject to automated monitoring are listed, possible negative scenarios at objects of various types that require monitoring in the first place are indicated. The general characteristic of monitoring is given, its purposes and ways are stated, examples of the equipment used when automated monitoring are given, and also the organization of monitoring system as a uniform hardware-software complex is described. The examples of the operation of the automated monitoring systems installed at the objects, the adverse events recorded by them are considered, the interpretation of their indications is given. Criteria of the choice of the measuring equipment (need of monitoring of certain parameters, economic expediency, influence of operating conditions on the choice of the equipment) are specified. For unique objects, monitoring systems have, in addition to practical value, theoretical value for understanding the processes occurring during the operation of the object.


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