Estimation of Dead Plant Rate Using Aerial Image from an Unmanned Aerial Vehicle in Konjac Cultivation Field

Abstract

The possibility of detecting dead plant areas in konjac using an unmanned aerial vehicle (UAV) was investigated. The intensity spectrum of the dead plant area had a unique range. Aerial images were binarized to detect dead plant areas. The dead plant rate estimated from aerial images was compared with the dead plant rate observed. Therefore, there is a significant relationship between the actual dead plant rate and the rate from aerial images (R² = 0.829, p < 0.01). This result proposes that the dead plant rate obtained from aerial images using UAV might allow us to predict the actual dead plant rate.