Feasibility Study of Plant Health Monitoring

Author(s):  
Davit Hovhannisyan ◽  
Kareem Khalifeh ◽  
Peng Fei ◽  
Ahmed Eltawil ◽  
Fadi Kurdahi
2021 ◽  
pp. 2106475
Author(s):  
Giwon Lee ◽  
Qingshan Wei ◽  
Yong Zhu

2018 ◽  
Vol 7 (3) ◽  
pp. 1263
Author(s):  
Shah Murtaza Rashid Al. Masud ◽  
Asmidar Abu Bakar ◽  
Salman Yussof

Due to lack of deployment of information and communication technology (ICT) for real-time pilgrims' health monitoring during Hajj, many pilgrims left untreated, get lost and suffer from severe health problems which sometimes end with injury, traum and even death. WBAN is an emergent healthcare technology and can be deployed at Hajj ritual sites for pilgrims' health monitoring. WBANs body coordinator or gateway as an aggregator collect data from body nodes or sensors, store them and then forward to the healthcare stations for analyzing the data through outer-WBAN communications. Currently, most of the existing research works focused on intra-WBAN communications while the technical issues, problems, opportunities and standard correlated to outer-WBAN are not well discussed and mentioned. Since, medium access control (MAC) protocol is responsible for channel access, lower delay, and energy efficient transmission of data packets. Therefore, designing of an efficient and reliable MAC protocol is the earnest research demand to alleviate the aforementioned obstacle. In this research, a feasibility study has been completed to identify the problem and a proposal has been made to develop a suitable MAC protocol for outer-WBAN communication for pilgrims’ health monitoring during Hajj.  


Measurement ◽  
2020 ◽  
Vol 149 ◽  
pp. 106804 ◽  
Author(s):  
M.A. Hassan ◽  
A.S. Malik ◽  
D. Fofi ◽  
B. Karasfi ◽  
F. Meriaudeau

2005 ◽  
Vol 127 (08) ◽  
pp. 28-29
Author(s):  
Paul Sharke

This article focuses on the process involved in machinery health monitoring. Operators need know only about certain things for which they can take immediate action: a cavitating pump, an overheating motor, a severely vibrating train, a failing bearing. They do not need knowledge of longer-term concerns like imbalance or misalignment, the domain of maintenance gurus. Likewise, management needs information about overall plant health and the priorities of various repairs, but it does not want to know that a circulation water pump is exhibiting mild axial misalignment or another pump elsewhere is beginning to cavitate.


Author(s):  
Mohammad Hanan Bhat

: Plant health monitoring has been a significant field of research since a very long time. The scope of this research work conducted lies in the vast domain of plant pathology with its applications extending in the field of agriculture production monitoring to forest health monitoring. It deals with the data collection techniques based on IOT, pre-processing and post-processing of Image dataset and identification of disease using deep learning model. Therefore, providing a multi-modal end-to-end approach for plant health monitoring. This paper reviews the various methods used for monitoring plant health remotely in a non-invasive manner. An end-to-end low cost framework has been proposed for monitoring plant health by using IOT based data collection methods and cloud computing for a single-point-of-contact for the data storage and processing. The cloud agent gateway connects the devices and collects the data from sensors to ensure a single source of truth. Further, the deep learning computational infrastructure provided by the public cloud infrastructure is exploited to train the image dataset and derive the plant health status


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