dc.description.abstract | Agriculture is essential for human sustenance and global economies, cultures, and
societies. However, wildlife damage to crops can significantly diminish productivity,
necessitating effective mitigation strategies. Among the most destructive species are wild pigs
(Sus scrofa), renowned for their severe impact on row crop damage through consumption,
rooting, and trampling. In our study, we assessed the extent of wild pig damage to row crop
fields in southern Alabama, USA. We utilized aerial imagery collected via unoccupied aircraft
systems (UAS) and developed detection models using deep learning algorithms to quantify
damage. Additionally, we evaluated the economic ramifications of wild pig damage on row crops
and analyzed surrounding landscape elements as potential predictors of field predation by wild
pigs. We successfully developed detection models with over 90% accuracy for corn and peanut
crops. However, our attempts to develop a similar model for cotton proved infeasible due to
flying at too high of an altitude, resulting in a ground sampling distance (GSD) with a resolution
that was too large. Corn experienced more frequent damage compared to peanuts and the average
amount of damage was greater for damaged corn fields (0.12 ha, 6.28% overall field damage)
than damaged peanut fields (0.08 ha, 0.38% overall field damage). However, the cumulative
losses were greater for peanut (n = 23 fields, $5,675.18, averaged $16.13/ha across damaged
fields) than corn (n = 6 fields, $3,164.05, $49.21/ha). Furthermore, crop type, distance to water,
and landscape patch density were significant contributors to the likelihood of wild pig-induced
damage. Our findings offer valuable insights for policymakers, landowners, and wildlife
managers striving to combat the challenges posed by wild pig predation in agricultural
landscapes. By integrating ecological understanding with practical management strategies, we
can effectively address the adverse impacts of wild pig predation and sustain agricultural
productivity. | en_US |