This project presents a design and management approach for agricultural land in Kanchanaburi Province. The case study area is situated in Wangdong Subdistrict, Mueang Kanchanaburi District, covering an area of approximately 18 rai (7.2 acres). As the user seeks a simplified lifestyle in the countryside, surrounded by nature, the design aligns with this vision of simplicity and sustainability. The land is systematically allocated to optimize the benefits for both daily living and agricultural industry development. The crop cultivation zones are designed to suit the local climate and plant varieties, ensuring high-quality yields for continuous utilization. Meanwhile, the livestock zones are clearly delineated to maintain balance and organization. This approach not only ensures food security and income generation but also promotes a lifestyle that harmonizes with nature, minimizes environmental impact, and supports the long-term development of an efficient and eco-friendly agricultural industry. Comprehensive attention is given to the positioning of various zones, considering wind direction and sunlight exposure. Additionally, the design undergoes a rigorous drafting and review process to ensure the optimal outcomes for the land's utilization.
ผู้ใช้งานต้องการสร้างบ้านสวนเกษตรเพื่อใช้เป็นที่พักผ่อนอาศัยโดยมีพื้นที่สำหรับปลูกผักและผลไม้ รวมถึงโซนเลี้ยงสัตว์เพื่อสร้างรายได้จากการขาย ผลผลิตจากสวนและสัตว์เลี้ยงจะช่วยให้สามารถใช้ชีวิตอย่างยั่งยืนและพึ่งพาตนเองได้ รวมถึงเป็นการสร้างพื้นที่ที่ให้ความสงบและใกล้ชิดกับธรรมชาติ ซึ่งจะช่วยให้ผู้ใช้งานสามารถมีชีวิตที่สมดุล โดยไม่เพียงแต่เป็นสถานที่พักผ่อน แต่ยังเป็นแหล่งรายได้ที่มั่นคงในอนาคตด้วย
คณะเทคโนโลยีการเกษตร
Durian is a crucial economic crop of Thailand and one of the most exported agricultural products in the world. However, producing high-quality durian requires maintaining the health of durian trees, ensuring they remain strong and disease-free to optimize productivity and minimize potential damage to both the tree and its fruit. Among the various diseases affecting durian, foliar diseases are among the most common and rapidly spreading, directly impacting tree growth and fruit quality. Therefore, monitoring and controlling leaf diseases is essential for preserving durian quality. This study aims to apply image analysis technology combined with artificial intelligence (AI) to classify diseases in durian leaves, enabling farmers to diagnose diseases independently without relying on experts. The classification includes three categories: healthy leaves (H), leaves infected with anthracnose (A), and leaves affected by algal spot (S). To develop the classification model, convolutional neural network (CNN) algorithms—ResNet-50, GoogleNet, and AlexNet—were employed. Experimental results indicate that the classification accuracy of ResNet-50, GoogleNet, and AlexNet is 93.57%, 93.95%, and 68.69%, respectively.
คณะวิศวกรรมศาสตร์
This research aims to investigate the adulteration of Khao Dawk Mali 105 rice based on storage age using Near-Infrared Spectroscopy (NIRS) with Fourier Transform Near-Infrared Spectroscopy (FT-NIR) in the wavenumber range of 12,500 – 4,000 cm-1 (800 – 2,500 nm). Storage duration significantly impacts the quality of cooked rice. This research is divided into two parts: 1) to investigate the feasibility of separating rice according to storage age (1, 2, and 3 years) using the best model created by an Ensemble method combined with Second Derivative, which achieved an accuracy of 96.3%. 2) To investigate adulteration based on storage age by adulterating at 0% (all 2- and 3-year-old rice), 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, and 100% (all 1-year-old rice). The best model was created using Gaussian Process Regression (GPR) combined with Smoothing + Multiplicative Scatter Correction (MSC), with coefficients of determination (r²), root mean square error of prediction (RMSEP), bias, and prediction ability (RPD) values of 0.92, 8.6%, 0.9%, and 3.6 respectively. This demonstrates that the adulteration model can be applied to separate rice by storage age (1, 2, and 3 years). Additionally, the color values of rice with different storage ages show differences in L* and b* values.
คณะบริหารธุรกิจ
This research aimed to develop the mixed tea from longan peels and seeds. Population studied were longan farmers who planted longan and preserved the longan product in Ampur Wang Nam Yen, Sa Kaeo Province. From the results, it was found that from By-product in the production of dehydrated longan, longan peels and seeds, which can be processed into ready-to-drink powdered tea. This not only helps reduce waste from the production process but also contributes to generating additional income from these by-products.