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
คณะวิศวกรรมศาสตร์
Artificial intelligence for agriculture and environment is a collection of significant models for enviromental friendly Thailand development. The models create with machine learning and deep learning by Near infrared spectroscopy research center for agricultural and food products, including: Determining the nutrient needs (N P K) of durian trees by measuring durian leaves using a non-destructive technique using artificial intelligence, Identification of combustion properties of biomass from fast-growing trees and agricultural residues using non-destructive techniques combined with artificial intelligence, and Evaluation of global warming due to biomass combustion using non-destructive techniques using artificial intelligence. The basic technology used is Near infrared Fourier transform spectroscopy technology which measurement and output display can be done quickly without chemical, no requirement for special expert, and measurement price per sample is very low. But the instrument cannot be produced in Thailand.
คณะบริหารธุรกิจ
CO Breathalyzer with Voice Response is the device to measured the level of CO residual in a person's lung who consume tobacco. Measuring residual CO in human breath can identify the tobacco addiction level instead of measuring nicotine in blood.
คณะเทคโนโลยีการเกษตร
Efficient durian orchard development requires integrating knowledge, technology, and innovation from farmers and academics to cope with environmental changes and market demands. The Durian Web-based Learning Hub is an online learning platform developed to serve as a central hub for knowledge transfer from experts and as a space for experience exchange among farmers. Users can access learning resources conveniently and continuously. This platform is part of the Innovation Project for Production and Marketing Information Management Innovation for Enhancing the Quality of Durian Production Entering into Premium Markets, supported by the Program Management Unit for Area-Based Development (PMUA)