Non-destructive estimation of tomato leaf area using depth camera

Abstract

In order to improve the productivity of agricultural crops, research is currently being conducted on the modeling of growth conditions. The leaf area is important for modeling tomatoes. However, the current measurement method involves the destruction of leaves, and it is not possible to relate the destroyed leaves to future growth of tomatoes. In this study, we propose a system that non-destructively estimates leaf area from depth cameras using deep learning.