2023 Volume 85 Issue 5 Pages 301-307
A flower bud detection system using image processing was developed to assist in picking Japanese pear buds. The prototype image acquisition system comprises a CCD camera and RTK-GNSS, which acquires moving images at 24fps and latitude and longitude at 4 Hz. YOLOv3 was applied to image processing, and 1800 images were used as training data and 360 images as test data. As a result, the accuracy of the detection system was 85.6 %. We integrated the estimated number of flower buds with GNSS information, interpolated by kriging, and created a 1mx1m grid square map. The results, using the grid square map, indicated that the maximum, average, and standard deviation of each grid were 84, 32, and 19 buds/m2, respectively.
