Technical Name Design of an Intelligent New Agriculture Information Service Platform: The Case of Local Pig Livestock Farm Testbed
Project Operator National Pingtung University of ScienceTechnology
Project Host 龔旭陽
Summary
This integrated project integrates advanced technology e.g. Internet of Things, Image Recognition, VirtualPhysical Integration, Deep Learning, Knowledge Computing, Blockchain,Automatic Deep Learning, to improve the traditional pig-raising industries cared issues such as “not easy to monitor pigsty environment”, “pig-raising experience not easy to inherited”, “do not control the sow’s pregnancy, pigsty safety management,pig activity assessment”. To improve pig-raising feedingproduction quality, we import an automatic, intelligent,technological productionmanagement model.
Scientific Breakthrough
This integrated project integrates advanced techniques e.g. Internet of Things, Image Recognition, Augmented Reality, Blockchain, Deep Learning,Knowledge Computing,combines Service-Oriented ArchitectureWeb Service to integrate the sub-project systems to designimplement an “Intelligent New Agriculture Information Service Platform: The Case of Local Pig Livestock Farm Testbed” to improve the traditional pig-raising farmers’ management weaknesspromote the raising productionquality.
Industrial Applicability
This integrated project designsimplements an “Intelligent New Agriculture Information Service Platform: The Case of Local Pig Livestock Farm Testbed” to combine the traditional pig-raising industryadvanced technology e.g. Internet of Things, Image Recognition, Big Data, Deep Learning,Blockchain to import an automatic, intelligent,technological productionmanagement modelcould extend to another livestock industries e.g. daily, sheep,horse, to transform the traditional confinement rearing to intelligent technological rearing to improve the farmers’ production qualityrevenue.
Keyword Intelligent Agriculture Internet of Things, IoT Machine Learning Knowledge Computing Augmented Reality, AR Image Recognition Deep Learning
Notes
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  • Jian-Liang Pan
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