The scientific article titled “A Semi-Automated RGB-Based Method for Wildlife Crop Damage Detection Using QGIS-Integrated UAV Workflow,” authored by Sebastian Andrzej Banaszek and Michał Szota, has been selected as an Editor’s Choice Article in the journal Sensors.
The publication presents a semi-automated method for detecting wildlife-induced crop damage using RGB imagery acquired from unmanned aerial vehicles (UAVs) and analytical tools integrated with the QGIS software environment. The proposed workflow enables efficient processing of photogrammetric data and supports the inventory and assessment of agricultural damage.
The Editor’s Choice distinction is awarded to articles that the journal’s editorial board considers particularly valuable in terms of scientific contribution and practical applicability.
The article was published in Sensors (2025, Vol. 25, No. 15, Article 4734).
DOI: https://doi.org/10.3390/s25154734
