Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 01, 2022 - June 04, 2022
The number of agricultural workers is declining. To solve this problem, smart agriculture that utilizes advanced technologies such as robots, AI, and IoT is expected. If the harvesting work can be automated, it can be expected to reduce the burden on agricultural workers. In this study, tomatoes were set as the crops to be harvested. Red area recognition and circle-shaped recognition are important factors in tomato recognition. The most severe condition in this light environment is a situation called backlight, in which the sun is in front of the camera. When a lot of sunlight enters the camera, it causes overexposure, and it is not possible to find not only the red color of the tomato but also the shape of a circle. We developed a camera stand that reduces the influence of backlight so that the target tomato can be recognized even in such a light environment.
