This research focuses on the design and development of a prototype Artificial Intelligence of Things (AIoT) system for monitoring and controlling irrigation using weather information. The system consists of four main components: 1) Weather Station – This component includes various sensors such as air temperature, relative humidity, wind speed, and sunlight duration, among others, to collect real-time weather data. 2) Controller Unit – This unit is equipped with machine learning algorithms or models to estimate the reference evapotranspiration (ETo) and calculate the plant’s water requirement by integrating the crop coefficient (Kc) with other plant-related data. This enables the system to determine the optimal irrigation amount based on plant needs automatically. 3) User Interface (UI) and Display – This section allows farmers or users to input relevant information, such as plant type, soil type, irrigation system type, number of water emitters, planting distance, and growth stages. It also provides a display for monitoring and interaction with the system. 4) Irrigation Unit – This component is responsible for controlling the water supply and managing the irrigation emitters to ensure efficient water distribution based on the calculated requirements.
การเปลี่ยนแปลงสภาพอากาศของโลกทวีความรุนแรงขึ้นอย่างต่อเนื่อง สถานการณ์ดังกล่าวส่งผลกระทบ โดยตรงต่อภาคการเกษตร โดยเฉพาะในประเทศไทยที่มีแนวโน้มเผชิญกับปัญหาการขาดแคลนน้ำและความ ผันผวนของปริมาณน้ำฝน ซึ่งส่งผลต่อทั้งปริมาณและคุณภาพของผลผลิตทางการเกษตรโดยตรง ทั้งนี้ การบริหารจัดการน้ำในภาคเกษตรกรรมของประเทศไทยยังคงเผชิญกับข้อจำกัดหลายประการ เกษตรกรส่วนใหญ่ยังคงพึ่งพาประสบการณ์ส่วนตัวในการให้น้ำพืช ซึ่งอาจนำไปสู่การใช้น้ำที่ไม่มีประสิทธิภาพ เช่น การให้น้ำมากเกินความจำเป็นหรือน้อยเกินไปจนส่งผลกระทบต่อผลผลิต หรืออาจนำไปสู่ปัญหา เช่น การแตกใบอ่อน การร่วงของดอก และมีผลผลิตที่ไม่ได้คุณภาพ (Togneri et al., 2023) ในขณะที่ข้อมูลทาง วิชาการที่สามารถช่วยให้การบริหารจัดการน้ำมีความแม่นยำขึ้น เช่น ค่าอัตราการใช้น้ำของพืชอ้างอิง (Evapotranspiration: ETo) และค่าสัมประสิทธิ์พืช (Kc) กลับเข้าถึงได้ยาก เนื่องจากมีความซับซ้อนในการ คำนวณ อีกทั้งข้อมูลที่มีอยู่มักเป็นข้อมูลเฉลี่ยรายจังหวัดซึ่งไม่สามารถนำไปใช้ได้อย่างมีประสิทธิภาพในระดับ ฟาร์ม โครงการนี้จึงมุ่งเน้นไปที่การพัฒนาระบบปัญญาประดิษฐ์สำหรับการติดตามและควบคุมการให้น้ำพืชอัจฉริยะ โดยอิงข้อมูลสภาพอากาศซึ่งจะช่วยแก้ไขข้อจำกัดของเกษตรกรไทยในการเข้าถึงข้อมูลที่ ถูกต้องและการบริหารจัดการน้ำที่แม่นยำ
คณะเทคโนโลยีการเกษตร
Threadfin breams is an economically important fish that can be found in fisheries in both the Gulf of Thailand and Andaman Sea and is cheap. In addition, the consumption of raw fish as sashimi is increasingly popular in Thailand. Therefore, it is necessary to promote its consumption to increase its value. This study investigated the preservation of threadfin breams (N. furcosus) for raw or sashimi consumption. The preservation of threadfin breams consisted of Ikejime (K) and cold seawater (S) methods, and the preservation of the fish by Gutting (G) and whole (W) and storing for 3 days on ice (I) or in a refrigerator (F). The freshness quality of threadfin breams was evaluated by sensory, physicochemical (TVB-N, TMA-N and pH), freshness index (Ki-value) and microbiological methods. It was found that after being stored for 3 days, the KGF group of threadfin breams had the highest overall sensory score, which was 8.36±0.80 points, and the KWI, SWI and SWF groups of threadfin breams had the lowest overall sensory scores, which were 8.13±0.77, 8.13±0.77 and 8.13±0.81 points, respectively. And the overall sensory scores of all experimental groups of fish increased significantly (p<0.05). The TVB-N value of threadfin breams in KGF group had the lowest TVB-N value, which was 1.37±0.93 mg nitrogen/100 g sample. The threadfin breams in SGI group had the highest TVB-N value, which was 2.36±1.15 mg nitrogen/100 g sample. The TVB-N of fish in all experimental groups increased significantly (p<0.05). The TMA-N value of threadfin breams in KGF group had the lowest TMA-N value, which was 1.56±0.88 mg nitrogen/100 g sample. The threadfin breams in SWF group had the highest TMA-N value, which was 2.17±1.22 mg nitrogen/100 g sample. The TMA-N of fish in all experimental groups increased significantly (p<0.05). The pH value of threadfin breams in KGF group had the lowest pH value, which was 6.40±0.12. The threadfin breams in SWF group had the highest pH value, which was 6.78±0.25. The pH of fish in all experimental groups increased significantly (p<0.05). Ki value The threadfin breams in KGF group had the lowest Ki value, which was 9.05±0.73%. The threadfin breams in KWI group had the highest Ki value, which was 12.88±4.19%. The Ki value of all experimental groups of fish increased without statistical significance (p>0.05). In terms of freshness quality in microbiology, it was found that in all experimental groups, Salmonella spp., S. aureus, B. cereus, C. perfringens and E. coli were found in all experimental groups of threadfin breams. All types of microorganisms in all groups of threadfin breams increased with statistical significance (p<0.05). When compared with the freshness quality criteria in terms of sensory, chemical, physical, freshness index and microbiology, it was found that all groups of threadfin breams were very fresh and suitable for raw consumption during the preservation and storage for 3 days. After 3 days of storage, the threadfin breams should be consumed cooked because the freshness quality of the fish is not suitable for raw consumption due to the increase in various parameters. The increase in various parameters is due to the deterioration of the fish and the activities of microorganisms. Therefore, threadfin breams is suitable to promote raw consumption within 3 days of storage. In addition, fish preservation, especially by Ikejime method, then cutting open the belly and storing in the refrigerator, can help improve the freshness of the fish. The results of this study can be used to develop techniques for preserving fish after capture for fishermen and can promote the increase in the value of threadfin breams in the future.
คณะเทคโนโลยีการเกษตร
Public Park Project: Coastal folk Park is a design park in the area of Ang Sila Subdistrict, Chonburi Province. In an area of 22 acre, it is intended to be a place of rest, recreation, and also a source of learning and conservation of the seashore and the traditional way of life of the area.
คณะวิทยาศาสตร์
Cancer remains a major global health challenge as the second-leading cause of human death worldwide. The traditional treatments for cancer beyond surgical resection include radiation and chemotherapy; however, these therapies can cause serious adverse side effects due to their high killing potency but low tumor selectivity. The FDA approved monoclonal antibodies (mAbs) that target TIGIT/PVR (T-cell immunoglobulin and ITIM domain/poliovirus receptor) which is an emerging immune checkpoint molecules has been developed; however, the clinical translation of immune checkpoint inhibitors based on antibodies is hampered due to immunogenicity, immunological-related side effects, and high costs, even though these mAbs show promising therapeutic efficacy in clinical trials. To overcome these bottlenecks, small-molecule inhibitors may offer advantages such as better oral bioavailability and tumor penetration compared to mAbs due to their smaller size. Here, we performed structure-based virtual screening of FDA-approved drug repertoires. The 100 screened candidates were further narrowed down to 10 compounds using molecular docking, with binding affinities ranging from -9.152 to -7.643 kcal/mol. These compounds were subsequently evaluated for their pharmacokinetic properties using ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) analysis, which demonstrated favorable drug-like characteristics. The lead compounds will be further analyzed for conformational changes and binding stability against TIGIT through molecular dynamics (MD) simulations to ensure that no significant conformational changes occur in the protein structure. Collectively, this study represents the potential of computational methods and drug repurposing as effective strategies for drug discovery, facilitating the accelerated development of novel cancer treatments.