Deep computation model to the estimation of sulphur dioxide for plant health monitoring in IoT

2021 ◽  
Author(s):  
Ramesh Karnati ◽  
Hanumantu Joga Rao ◽  
Om Prakash P. G. ◽  
Balajee Maram
Keyword(s):  
Health Monitoring ◽  
Sulphur Dioxide ◽  
Plant Health ◽  
Computation Model

Emerging Wearable Sensors for Plant Health Monitoring

2021 ◽  
pp. 2106475
Author(s):  
Giwon Lee ◽  
Qingshan Wei ◽  
Yong Zhu
Keyword(s):  
Health Monitoring ◽  
Wearable Sensors ◽  
Plant Health

An Artificial Intelligence Model to Predict Crop Water Requirement Using Weather, Soil Moisture, and Plant Health Monitoring Data

2020 ◽  
Author(s):  
M. Fayzul K. Pasha ◽  
Nandakishor Srinivasamurthy ◽  
Dayadeepak Singh ◽  
Dilruba Yeasmin ◽  
Guillermo Valenzuela
Keyword(s):  
Artificial Intelligence ◽  
Soil Moisture ◽  
Health Monitoring ◽  
Water Requirement ◽  
Crop Water Requirement ◽  
Plant Health ◽  
Monitoring Data ◽  
Crop Water

Self-powered wireless plant health monitoring system detects circadian rhythm using sap-activated battery

2017 ◽  
Author(s):  
Ami Tanaka ◽  
Syuuichi Okamoto ◽  
Ryoma Furumori ◽  
Takakuni Douseki ◽  
Fumiyasu Utsunomiya
Keyword(s):  
Circadian Rhythm ◽  
Monitoring System ◽  
Health Monitoring ◽  
Plant Health ◽  
Health Monitoring System ◽  
Self Powered

scholarly journals A Field bus that Chooses

2005 ◽  
Vol 127 (08) ◽  
pp. 28-29
Author(s):  
Paul Sharke
Keyword(s):  
Health Monitoring ◽  
Plant Health ◽  
Water Pump ◽  
Field Bus

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.

scholarly journals A Comprehensive Multi-Modal Framework for Plant Health Monitoring

2021 ◽  
Vol 9 (VII) ◽  
pp. 1793-1795
Author(s):  
Mohammad Hanan Bhat
Keyword(s):  
Deep Learning ◽  
Data Collection ◽  
Data Storage ◽  
Health Monitoring ◽  
Single Point ◽  
Research Work ◽  
Plant Health ◽  
Cloud Infrastructure ◽  
Image Dataset ◽  
End To End

: 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

Micromechanical Switch-Based Zero-Power Chemical Detectors for Plant Health Monitoring

2020 ◽  
Vol 29 (5) ◽  
pp. 755-761
Author(s):  
Sila Deniz Calisgan ◽  
Vageeswar Rajaram ◽  
Sungho Kang ◽  
Antea Risso ◽  
Zhenyun Qian ◽  
...  
Keyword(s):  
Health Monitoring ◽  
Plant Health

scholarly journals The Plant Health Monitoring System of the EDEN ISS Space Greenhouse in Antarctica During the 2018 Experiment Phase

2019 ◽  
Vol 10 ◽  
Author(s):  
Conrad Zeidler ◽  
Paul Zabel ◽  
Vincent Vrakking ◽  
Markus Dorn ◽  
Matthew Bamsey ◽  
...  
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Plant Health ◽  
Health Monitoring System

Feasibility Study of Plant Health Monitoring

2019 ◽  
Author(s):  
Davit Hovhannisyan ◽  
Kareem Khalifeh ◽  
Peng Fei ◽  
Ahmed Eltawil ◽  
Fadi Kurdahi
Keyword(s):  
Feasibility Study ◽  
Health Monitoring ◽  
Plant Health

Plant Health Monitoring Using a Turbine Flowmeter

1989 ◽  
pp. 154-158 ◽  
Author(s):  
J. E. Amadi-Echendu ◽  
E. H. Higham ◽  
P. J. Hurren
Keyword(s):  
Health Monitoring ◽  
Plant Health ◽  
Turbine Flowmeter
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