Cutting Point Detection Algorithm for Tomato Leaf-cutting Operations Based on Image Processing Method

In recent years, labor shortages caused by the aging and declining workforce have become a serious issue in Japanese agriculture. To address this problem, agricultural robots for automating labor-intensive tasks have been developed. This paper is focused on automating the leaf-cutting task in tomato cultivation, which is essential for promoting growth and preventing disease, and is proposed an image-processing-based method to detect leaf-cutting points. The effectiveness of the proposed algorithm is evaluated through the quantitative analysis of detection accuracy.