Korea World Kimchi Research Institute develops AI technology to predict weight and volume of Chinese cabbage

The World Kimchi Institute announced that a practical technology research team led by Dr. Jeong Yong-bae has developed a technology that can predict the weight and volume of Chinese cabbage using only images, without actually measuring it.
The yield and size of Chinese cabbage depend on various factors such as the season, variety, and growing environment. If the weight of the Chinese cabbage is not uniform, the salt concentration during pickling will differ, so the kimchi
In response to this problem, the research team developed a sensor that can obtain not only the color (RGB) but also the distance (D) to the target in an image of Chinese cabbage.
Using data from Sir and machine learning techniques, they were able to predict the weight and volume of Chinese cabbage without having to actually measure it.
Analysis of the technique revealed that the accuracy of weight prediction was 91.3%, and that 2D, 3D, and color information was also included.
The accuracy of volume prediction using the integrated model achieved over 90%.
"The results of this study were published in August in the international journal Postharvest Biology and Technology, an academic journal in the field of agricultural science.
--" was published in the online edition.