PhD defence

Enhancing agricultural object recognition in UAV data with integrated sensing path planning approaches

PhD candidate MDM (Mar) Ariza Sentis MSc
Promotor prof.dr.ir. B (Bedir) Tekinerdogan
Co-promotor prof.dr.ir. L (Lammert) Kooistra
External copromotor dr. ir. João Valente
dr. ir. Sergio Vélez Martín
Organisation Wageningen University, Information Technology Group, Wageningen School of Social Sciences (WASS)
Date

Fri 8 November 2024 15:30 to 17:00

Venue Omnia, building number 105
Hoge Steeg 2
105
6708 PH Wageningen
+31 (0) 317 - 484500
Room Auditorium

Summary

Managing vineyards efficiently requires careful control over inputs like pesticides, which can be reduced through better field monitoring. This PhD research focuses on using drones to monitor vineyards throughout the growing season. By spotting diseases early and regularly checking the condition of the field, farmers can adjust their methods to meet the specific needs of their crops, leading to healthier plants and more sustainable farming. The study also looked at how drones, ground robots, and tractors can be used for precise spraying and developed a system that creates the best paths for drones to follow, helping them spot any unusual changes in the vineyard. This approach makes vineyard management more targeted, saving resources and improving overall efficiency.