Vangu et al. (2025) Uav, Photogrammetry, Gis, and Digital Twin in Agriculture – a Theoretical Approach

Identification

• Journal: Annals of the University of Craiova - Agriculture Montanology Cadastre Series
• Year: 2025
• Date: 2025-12-28
• Authors: Gheorghe Marian Vangu, Alin CROITORU, Marius MILUȚ, Irina CROITORU
• DOI: 10.52846/aamc.v55i2.1738

Research Groups

Faculty of Agronomy, University of Craiova

Short Summary

This theoretical paper analyzes the integrated application of Unmanned Aerial Vehicles (UAVs), photogrammetry, Geographic Information Systems (GIS), and Digital Twin technologies to transform agricultural practices towards precision, sustainability, and resource efficiency. It outlines a coherent workflow for data acquisition, processing, and interpretation, highlighting their significant potential for enhanced farm management.

Objective

• To present an integrated analysis of how UAVs, photogrammetry, GIS, and Digital Twin technologies can be combined into a coherent workflow for data acquisition, processing, and interpretation, with a particular focus on their applicability in agriculture.
• To discuss the technical advantages, implementation challenges, and future research directions concerning the standardization and interoperability of these technologies in agriculture.

Study Configuration

• Spatial Scale: Not applicable; the paper is a theoretical approach discussing technologies applicable across various agricultural scales (e.g., field, farm, regional).
• Temporal Scale: Not applicable; the paper is a theoretical approach discussing technologies capable of real-time updates and long-term monitoring.

Methodology and Data

• Models used: The paper discusses the application of conceptual frameworks and processes including Photogrammetry, Geographic Information Systems (GIS), and the Digital Twin concept for agricultural management.
• Data sources: The paper discusses the integration of data acquired from Unmanned Aerial Vehicles (UAVs), Internet of Things (IoT) sensors, and satellite sources for agricultural applications.

Main Results

• An integrated analysis demonstrates a coherent workflow for combining UAVs, photogrammetry, GIS, and Digital Twin technologies to facilitate advanced agricultural data acquisition, processing, and interpretation.
• Identified technical advantages include the acquisition of high-resolution data, generation of detailed three-dimensional models (e.g., orthophotos, DTMs), advanced spatial and temporal analyses, creation of dynamic digital replicas of fields, simulation of agronomic scenarios, and optimization of processes such as irrigation, fertilization, and crop protection.
• The discussion addresses key implementation challenges and outlines future research directions, particularly emphasizing the need for standardization and interoperability among these advanced agricultural technologies.

Contributions

• Provides a comprehensive theoretical framework for the synergistic integration of UAVs, photogrammetry, GIS, and Digital Twin technologies in the context of modern agriculture.
• Highlights the transformative potential of these combined tools to enhance efficiency, reduce operational costs, and promote a sustainable, data-driven agricultural paradigm.
• Identifies critical technical advantages, existing implementation hurdles, and future research avenues necessary for the widespread adoption and seamless interoperability of these advanced agricultural technologies.

Funding

Not specified in the provided paper.

Citation

@article{Vangu2025Uav,
  author = {Vangu, Gheorghe Marian and CROITORU, Alin and MILUȚ, Marius and CROITORU, Irina},
  title = {Uav, Photogrammetry, Gis, and Digital Twin in Agriculture – a Theoretical Approach},
  journal = {Annals of the University of Craiova - Agriculture Montanology Cadastre Series },
  year = {2025},
  doi = {10.52846/aamc.v55i2.1738},
  url = {https://doi.org/10.52846/aamc.v55i2.1738}
}