The development of a fruit spoilage detection system originates from the need to reduce agricultural product losses, a global issue affecting both the agricultural and food distribution industries. Spoiled fruit can negatively impact product quality and result in significant economic losses. The primary goal of this system is to assist in screening and removing unsuitable fruit from the supply chain, thereby preserving product quality and meeting consumer demands for fresh produce. The system was designed to simulate the sorting process by utilizing images as a key factor in detecting spoiled fruit. Experimental results demonstrated high efficiency and rapid prediction capabilities, highlighting the system’s potential for practical applications.
ระบบตรวจจับผลไม้เน่ามีที่มาจากความต้องการในการลดการสูญเสียผลผลิตทางการเกษตร ซึ่งเป็นปัญหาที่เกิดขึ้นทั่วโลกโดยเฉพาะในอุตสาหกรรมการเกษตรและการจัดจําหน่ายอาหาร ผลไม้ที่เน่าเสียจะส่งผลกระทบต่อคุณภาพของผลิตภัณฑ์และสามารถก่อให้เกิดความสูญเสียทางเศรษฐกิจได้อย่างมาก การพัฒนาระบบตรวจจับผลไม้เน่าจึงมีเป้าหมายเพื่อช่วยในการคัดกรองและแยกผลไม้ที่ไม่เหมาะสมออกจากกระบวนการจัดส่ง เพื่อรักษาคุณภาพของสินค้าและตอบสนองต่อความต้องการของผู้บริโภคที่ต้องการผลไม้สดใหม่
วิทยาลัยนวัตกรรมการผลิตขั้นสูง
The offline evaluation system for Thai-language large language models (LLMs) is designed to enable experts to efficiently test and assess various LLMs without relying on external services. This enhances the flexibility in selecting LLMs that best suit organizational needs or expert systems (ES). The system operates on personal computers, ensuring data security by eliminating concerns about external data storage. Additionally, it supports model testing and development using Retrieval-Augmented Generation (RAG), allowing access to domain-specific knowledge for accurate, energy-efficient processing. This ensures that the models can perform optimally and effectively meet the demands of organizations and expert systems.
คณะเทคโนโลยีการเกษตร
Dwarf whipray (Brevitrygon heterura) is a common species found in a local market in the Gulf of Thailand. However, like many other species of stingrays, it is threatened by overfishing and habitat destruction. Therefore, an accurate species identification is crucial because conservation efforts may vary depending on the species. This study aims to understand morphological variation of B. heterura in the Gulf of Thailand by morphometric study and genetic analysis. During October 2022 and February 2023, we obtained 49 samples from research vessels fish landing ports and local fish markets. We observed two distinct groups based on 43 morphological variables/ratios. B. heterura samples from Chanthaburi, Rayong, Chonburi, Samut Sakhon, Nakhon Si Thammarat and Songkla provinces, called “group A," typically have longer snout length than those from Prachuap Khiri Khan provinces, called “group B" according to external morphological characters for species identification. Three morphological variables/ratios were significantly different between groups A and B. Main characters to explain intraspecific variations between group A and group B are further discussed. DNA barcoding based on a fragment of the cytochrome c oxidase subunit I (COI) gene were obtain from eight samples of group A and eight samples from group B. Pairwise percent sequence divergence (p-distance) for COI between group A and group B were 0.0-2.5. This study contributes to the understanding of variations of morphology and genetics of B. heterura in the Gulf of Thailand.
วิทยาลัยนวัตกรรมการผลิตขั้นสูง
Since organic rice storage silos were faced with an insect problem, an owner solved this problem using the expert system (ES) in the controlled atmosphere process (CAP) under the required standard, fumigating insects with an N2, reducing O2 concentration to less than 2% for 21 days. This article presents the computational fluid dynamics (CFD) assisted ES successfully solved this problem. First, CFD was employed to determine the gas flow pattern, O2 concentration, proper operating conditions, and a correction factor (K) of silos. As expected, CFD results were consistent with the experimental results and theory, assuring the CFD’s credibility. Significantly, CFD results revealed that the ES controlled N2 distribution throughout the silos and effectively reduced O2 concentration to meet the requirement. Next, the ES was developed based on the inference engine assisted by CFD results and the sweep-through purging principle, and it was implemented in the CAP. Last, the experiments evaluated CAP’s efficacy in controlling O2 concentration and insect extermination in the actual silos. The experimental results and owner’s feedback confirmed the excellent efficacy of ES implementation; therefore, the CAP is effective and practical. The novel aspect of this research is a CFD methodology to create the inference engine and the ES.