scholarly journals Machine Learning and Internet of Things based Fruit Quality Monitoring System: A Proof of Concept Implementation and Analysis

2020 ◽  
Vol 8 (6) ◽  
pp. 2315-2323
Author(s):  
Annmariya E S
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Monitoring System ◽  
Fruit Quality ◽  
Quality Monitoring ◽  
Proof Of Concept ◽  
System A

scholarly journals Cry Recognition for Infant Incubator Monitoring System Based on Internet of Things using Machine Learning

2021 ◽  
Vol 14 (1) ◽  
pp. 444-452
Author(s):  
Erwin Sutanto ◽  
◽  
Fahmi Fahmi ◽  
Wervyan Shalannanda ◽  
Arga Aridarma ◽  
...  
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Monitoring System ◽  
Smart Device ◽  
The Real ◽  
Current Technology ◽  
2D Pattern ◽  
Infant Incubator ◽  
Technology Trend

With the current technology trend of IoT and Smart Device, there is a possibility for the improvement of our infant incubator in responding to the real baby’s condition. This work is trying to see that possibility. First is by analyzing of open baby voice database. From there, a procedure to find out baby cry classification will be explained. The approach was starting with an analysis of sound’s power from that WAV files before going further into the 2D pattern, which will have features for the machine learning. From this work, around 85% accuracy could be achieved. Then together with sensors, it would be useful for infant incubator’s innovation by utilizing this proposed configuration.

scholarly journals On-farm welfare monitoring system for goats based on Internet of Things and machine learning

2020 ◽  
Vol 16 (7) ◽  
pp. 155014772094403
Author(s):  
Yuan Rao ◽  
Min Jiang ◽  
Wen Wang ◽  
Wu Zhang ◽  
Ruchuan Wang
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Animal Husbandry ◽  
Environmental Data ◽  
Software Systems ◽  
Data Detection ◽  
Livestock Farming ◽  
On Farm

Intensive animal husbandry is becoming more and more popular with the adoption of modern livestock farming technologies. In such circumstances, it is required that the welfare of animals be continuously monitored in a real-time way. To this end, this study describes one on-farm welfare monitoring system for goats, with a combination of Internet of Things and machine learning. First, the system was designed for uninterruptedly monitoring goat growth in a multifaceted and multilevel manner, by means of collecting on-farm videos and representative environmental data. Second, the monitoring hardware and software systems were presented in detail, aiming at supporting remote operation and maintenance, and convenience for further development. Third, several key approaches were put forward, including goat behavior analysis, anomaly data detection, and processing based on machine learning. Through practical deployment in the real situation, it was demonstrated that the developed system performed well and had good potential for offering real-time monitoring service for goats’ welfare, with the help of accurate environmental data and analysis of goat behavior.

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