Development of a UAV-Acquired Dataset for Machine Learning-Based Farm Intrusion Detection
Edition: Vol. 1, Issue 1
https://doi.org/10.5281/zenodo.21650655 While Unmanned Aerial Vehicles (UAVs) offer promising capabilities for aerial monitoring, there remains a critical shortage of publicly available, UAV-acquired datasets specifically designed for machine learning-based intrusion detection in agricultural settings. Existing datasets either lack aerial perspectives, omit essential “empty space” categories for negative sampling, or are not optimized…

