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• Application of Unmanned Aerial Vehicle Technology (UAV) in Building Cleanrance Map

  Phan Van Khue, Tran Trong Phuong, Nguyen Duc Loc, Tran Thi Tinh

  Date Received: 07-10-2022 / Date Accepted: 27-01-2023

   Abstract PDF (VIETNAMESE)

  The large scale map, an indispensable and important document is the basis for making compensation, support and resettlement plans when implementing land acquisition. The objective of this study was to use unmanned aerial vehicle (UAV) technology to create maps for ground clearance. The research conducted field survey using DJI Phantom 4 Pro UAV and 20MP CMOS digital camera synchronized with the aircraft. Images were collaged and edited by Agisoft metashape. From orthomosaic images, digitization/interpretation was performed directly on the image, the map edited by MicroStation, and Gcadas used to calculate the area. Research results have established a map of 1/500 scale, fully ensuring the quality and detail of land use classification and monitoring of assets on land for ground clearance work in the area research. Research shows that clearance map by unmanned aerial vehicles (UAV) was an effective technology in terms of products, time, cost and technology development trends.

• Establishing Flight Trajectory for UAV Spraying in Agriculture

  Nguyen Thi Hien, Nguyen Hoang Nam

  Date Received: 10-01-2024 / Date Accepted: 23-05-2024 / Date Published: 12-06-2025

   Abstract PDF (VIETNAMESE)

  This paper presented route planning method for agricultural spraying UAV that ensures the requirements of full coverage, low overlap, no leaving-out, and no spraying outside the working area. The routes were determined based onlatitudes/longitudes in the geographical grid, which can be applied to any location on earth. The algorithm was validated by simulation on Matlab/Simulink combined with QGroundControl software. Simulation results show that the main lines were routed parallelly with a distance 2.73% smaller than the spraying width of the UAV. A margin reduction of the working area before route planning helped limit pesticides being sprayed outside the operational area, avoiding pesticide waste and environmental pollution.

  DOI: https://doi.org/10.31817/tckhnnvn.2024.22.5.

• Theoretical Perspectives on the Application of Digital Technology in Agriculture

  Vu Thi Khanh Toan, Luu Van Duy, Nguyen Thanh Phong

  Date Received: 11-08-2025 / Date Accepted: 12-03-2026 / Date Published: 27-05-2026

   Abstract PDF (VIETNAMESE)

  This paper focused on systematizing the theoretical issues related to the application of digital technologies in agriculture. The study employeda comprehensive review combined with content analysis and synthesis of studies on digital agriculture. The findings indicated that digital technologies in agriculture should not be viewed as a collection of standalone technical solutions but as an integrated system in which data play a central role, connecting technologies such as IoT, AI, Big Data, UAVs, and Blockchain along the agricultural value chain. Digital technologies can be functionally categorized into three main groups: enhancing production efficiency, strengthening resilience to risks, and promoting sustainable agricultural development. The application of digital technologies in agriculture is influenced by multiple factors, including institutional and policy frameworks, digital infrastructure, farmers’ capabilities, investment costs, natural conditions, and coordination mechanisms among stakeholders. The study provides a theoretical foundation for developing analytical frameworks and suggests directions for future empirical research to inform policies that promote effective and sustainable digital transformation in agriculture.

  DOI: https://doi.org/10.31817/tckhnnvn.2026.24.5.10

• Unmanned Aerial Vehicles in Crop Production: A Review

  Nguyen Hong Hanh, Nguyen Thi Ngoc Dinh, Pham Thi Lan Anh, Phan Thi Hai Luyen

  Date Received: 27-10-2025 / Date Accepted: 25-02-2026 / Date Published: 28-02-2026

   Abstract PDF (VIETNAMESE)

  This paper provides an overview of the applications of Unmanned Aerial Vehicles (UAVs) in crop production to meet the demands of precision agriculture development and climate change adaptation. The objective of the study was to systematize the technologies, applications, and challenges associated with UAV use in crop management. The synthesis results indicate that UAVs have been effectively applied in monitoring crop growth, predicting crop yield, detecting pests and diseases, automated spraying and fertilization, and managing soil, water and nutrients. By integrating multispectral, hyperspectral, thermal, and LiDAR sensors with artificial intelligence and machine learning techniques, UAVs enable precise data acquisition and decision-making and reducing water, fertilizer and pesticide use by 20-50% while lowering emissions. Despite limitations in investment cost, payload capacity, and regulatory frameworks, UAVs are emerging as a core technology driving smart, efficient, and sustainable agricultural development in Vietnam.

  DOI: https://doi.org/10.31817/tckhnnvn.2026.24.2.13