Unmanned Aerial Vehicle (UAV) for Detection and Prediction of Damage Caused by Potato Cyst Nematode G. pallida on Selected Potato Cultivars

High population densities of the potato cyst nematodes (PCN) Globodera pallida and G. rostochiensis cause substantial yield losses to production (Solanum tuberosum) due delay caused tuber formation by retardation plant growth. It requires meticulous estimation using soil sampling applying right combination nematode management deal with PCN problem. This study aims assess use an unmanned vehicle (UAV) in detecting estimating effect ranges a PCN, pallida, on four cultivated cultivars resistance naturally infested field The Netherlands. First, initial density (Pi) was estimated intensive method collecting about 1.5 kg per m2 from center each 3 × 5 m plot. At harvest, fresh (Avarna, Fontane, Sarion, Serresta) were assessed. Seinhorst loss model used investigate relationship between Pi yield. Secondly, spatial data UAV optical thermal sensors analyzed find any indices. By classical model, all found be affected relative minimum m, which ranged 0.26 0.40. maximum varied 49.48 80.36 tons (ha)?1. at started deteriorate range 0.62–2.16 eggs (g dry soil)?1. A regression observed Pi, indices similar pattern that except for cultivar Avarna two (NDRE NDVI). Unlike tolerance limit, values indices—except chlorophyll index—differ when compared among other within same cultivar. indicates can useful detection decision making statutory purposes but not damage (except index).