Monitoring potato phenotypic traits accurately is essential for improving the quality and yield of superior potato varieties, especially considering susceptibility to diseases like early blight and the direct influence of growth characteristics on yield. Traditional manual height sampling for monitoring crop growth faces limitations in estimating height due to complex potato crop canopies.

Potato production can suffer substantial yield losses due to high population densities of the potato cyst nematodes (PCN) Globodera pallida and G. rostochiensis. This study aims to evaluate the use of an unmanned vehicle (UAV) to detect and estimate the effect of PCN densities on four cultivated potato cultivars in a naturally infested field in the Netherlands.