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Item type:Publication, Unleashing the potential of UAVs in agriculture: ASEAN and Thailand’s rice production industry improvements: Review article(2023-09-01); Mitrokhin, M.Agriculture is vital for economic sustainability and structural transformation in ASEAN. This paper explores the agricultural landscape in ASEAN, focusing on Thailand as a prominent rice producer. Challenges such as rural-urban migration, the ageing population employed in agriculture, and need to implement innovative solutions to strengthen regional food security are discussed. The primary focus is the innovative use of unmanned aerial vehicles (UAVs) in ASEAN agriculture. UAVs revolutionize data collection through aerial photography, providing real-time insights into terrain, vegetation health, and soil composition. They enable informed decisions, optimize resource allocation, and streamline processes, resulting in cost savings. Equipped with sensors, UAVs precisely monitor crop health, irrigation efficiency, and early pest detection. Integration of advanced software and geographical information systems enhances data analysis and visualization. UAVs facilitate high-resolution mapping, offering detailed information on crop density, weed infestation, and disease outbreaks. This enables targeted interventions, reducing input costs and optimizing resource allocation. Multispectral or hyperspectral sensors provide insights into plant health, chlorophyll content, and water stress, enabling site-specific management strategies for improved sustainability. UAVs are affordable, versatile, and continuously advancing. They can potentially improve productivity, efficiency, and resource management in agriculture. In rice production, UAVs offer benefits like crop monitoring, precise spraying, and uniform seed spreading. They provide real-time information on crop health and pest infestations, enabling optimized management. Spray drones accurately apply pesticides, while seed-spreading drones enhance crop growth and save costs. UAV drones offer significant advantages in ASEAN agriculture, addressing workforce challenges and enhancing productivity. Supportive measures will lead to efficient UAV integration, enhancing sustainability and farmer livelihoods.2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Data Visualization for Helping Students Decide Which General Education Courses to Enroll: Case of Chulalongkorn University(2019-01-01)1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Monitoring roadway lights and pavement defects for nighttime street safety assessment by sensor data analysis and visualization(2018-01-01)Street maintenance and improvement are significant missions in ensuring transportation safety, especially at nighttime because the severity of injuries doubles at night. Driving visibility and road surface conditions are key factors behind nighttime traffic accidents, and they must be solved as a major priority. Having an exclusive report representing this issue becomes useful documentation for preparing an effective plan for repairing and upgrading a street at appropriate locations. However, road observations are mostly performed by humans, so reports are imprecise owing to the limitation of human cognition and documentation during observation at night. For this reason, the aim of this work is to create a visualization report for monitoring the risk on a street at nighttime. To achieve this goal, a light sensor for measuring brightness on the road, a gyro sensor and an accelerometer for detecting pavement defects, and a location sensor for marking the current latitude and longitude are placed in a car, and the data obtained are transferred to a cloud database while driving on the road. After that, all data are analyzed by machine learning techniques to identify some critical failures and report on map visualization. The result demonstrates that this approach can visualize the right defect at the correct location, and it will become an important contribution to transport safety. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Ka-band rain attenuation by radiometer method(2003-01-01)