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Automatic gemstone color sorting machine

Abstract

This research aims to develop an automatic gemstone color sorting machine to overcome the limitations of manual color sorting, which can be restricted by speed and accuracy. This study applies deep learning technology to analyze and classify gemstone colors precisely, developing an algorithm capable of accurately detecting and categorizing color shades. An automated conveyor system was also designed to efficiently transport gemstones through the color sorting process, allowing for continuous operation. The sorting machine works by capturing high-resolution images of the gemstones, processing them with software to classify color shades, and directing each gemstone to its designated position on the automated conveyor. Experimental results demonstrate that the automated color sorting machine, integrated with the conveyor system, achieves high speed and accuracy, significantly reducing labor costs and enhancing the efficiency of gemstone color sorting.

Objective

ปัจจุบันการตรวจสอบเฉดสีของพลอยถือเป็นขั้นตอนสำคัญในการประเมินคุณภาพ ทั้งในกระบวนการผลิตและการค้าขาย อย่างไรก็ตามการตรวจสอบเฉดสีที่ดำเนินการโดยมนุษย์นั้นมีข้อจำกัดหลายประการ ซึ่งหนึ่งในนั้นเป็นเรื่องความสามารถในการแยกเฉดสีที่ซับซ้อน ซึ่งอาจทำให้การตรวจสอบใช้เวลานาน และมีความแม่นยำต่ำ จากปัญหาดังกล่าว จึงได้พัฒนาแนวคิดในการสร้างเครื่องคัดแยกเฉดสีพลอยอัตโนมัติ โดยใช้ระบบ Computer Vision ร่วมกับระบบอัตโนมัติในการวิเคราะห์เฉดสีของพลอย เพื่อลดข้อจำกัดของการตรวจสอบด้วยมนุษย์ เพิ่มความแม่นยำและประสิทธิภาพในการทำงาน รวมถึงทำให้กระบวนการตรวจสอบเป็นไปอย่างรวดเร็วและมีมาตรฐานของเฉดสี GIA (Gemological Institute of America)

Other Innovations

COSTS RETURNS OF RICE CULTIVATION USING CHEMICAL PESTICIDES AND RICE CULTIVATION USING BIOPRODUCTS IN COMBINATION WITH CHEMICAL PESTICIDES BY FARMERS IN BANG PHLI NOI SUBDISTRICT BANG BO DISTRICT SAMUT PRAKAN PROVINCE

คณะเทคโนโลยีการเกษตร

COSTS RETURNS OF RICE CULTIVATION USING CHEMICAL PESTICIDES AND RICE CULTIVATION USING BIOPRODUCTS IN COMBINATION WITH CHEMICAL PESTICIDES BY FARMERS IN BANG PHLI NOI SUBDISTRICT BANG BO DISTRICT SAMUT PRAKAN PROVINCE

During this cooperative education program at the Bang Bo District Agricultural Office, Samut Prakan Province, a study was conducted on the costs and returns of rice cultivation using chemical inputs compared to using biopesticides in combination with chemical inputs among farmers in Bang Phli Noi Subdistrict, Bang Bo District, Samut Prakan Province.The objectives of this study were: To examine the costs and returns of rice cultivation using chemical inputs compared to using biopesticides in combination with chemical inputs among farmers in Bang Phli Noi Subdistrict, Bang Bo District, Samut Prakan Province. To explore the challenges of using biopesticides in rice cultivation among farmers in Bang Phli Noi Subdistrict, Bang Bo District, Samut Prakan Province. The study found that in the 2024/25 growing season, the total production cost for rice cultivation using biopesticides in combination with chemical inputs was 5,099.50 THB per rai, consisting of variable costs of 4,432.50 THB per rai and fixed costs of 667.00 THB per rai. Meanwhile, the total production cost for rice cultivation using only chemical inputs was 5,129.00 THB per rai, consisting of variable costs of 4,390.00 THB per rai and fixed costs of 739.00 THB per rai. The cost difference between the two methods was 114.50 THB per rai. Regarding the returns on rice cultivation in the 2024/25 growing season, the field using biopesticides in combination with chemical inputs yielded 1,000.00 kilograms per rai, with an average selling price of 8,500.00 THB per rai. Farmers earned a total revenue of 8,585.00 THB per rai and a profit of 3,485.50 THB per rai. On the other hand, the field using only chemical inputs yielded 1,000.00 kilograms per rai, with an average selling price of 8,500.00 THB per rai. Farmers earned a total revenue of 8,500.00 THB per rai and a profit of 3,371.00 THB per rai. The total income difference between the two cultivation methods was 114.50 THB per rai. In terms of challenges related to the procurement of biopesticides, it was found that biopesticides are difficult to obtain, with limited or no availability in certain areas. Additionally, relevant agencies do not provide continuous support for biopesticides, making this the most significant issue. Regarding the use of biopesticides, the most critical challenge is that once fresh biopesticides are mixed, they must be used immediately and cannot be stored, as their effectiveness deteriorates over time.

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