| dc.contributor.author | Siriruang Phatchuay | en_US |
| dc.contributor.author | Arthit Yooyen | en_US |
| dc.date.accessioned | 2019-12-03T02:31:19Z | |
| dc.date.available | 2019-12-03T02:31:19Z | |
| dc.date.issued | 2018 | |
| dc.identifier.uri | http://repository.rmutr.ac.th/123456789/1228 | |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/1228 | |
| dc.description.abstract | The purpose of this study was to develop a prototype of an octopus grade
sorting system to help increase the value of dried squid sales to Prachuap Khiri Khan
coastal fishermen. By working principle, will design and develop the system by
language Open CV in Microsoft Visual Studio Express 2013 . By the behavior of the
concept from the in deep learning algorithm The developed system will use 500
images for example. There are 2 types of squid that are tested, And there are 3 types
of squid, ie grade A grade B and grade C, with a sorting dried squid system for fisher
coastal basin an accuracy of 85 Percent. | en_US |
| dc.language.iso | TH | en_US |
| dc.publisher | Rajamangala University Of Technology Rattanakosin | en_US |
| dc.subject | dried squid | en_US |
| dc.subject | fisher | en_US |
| dc.subject | squid | en_US |
| dc.title | A sorting dried squid system for fisher coastal basin prachuap khiri khan by Deep Learning | en_US |
| dc.title.alternative | ระบบคัดแยกเกรดปลาหมึกแห้งส้าหรับกลุ่มชาวประมงลุ่มน้ำชายฝั่งทะเลประจวบคีรีขันธ์ด้วยหลักการ Deep Learning | en_US |
| dc.type | Research | en_US |
