HIGHLIGHTS
- who: Agricultural applications and colleagues from the Department of Mechincal Engineering , Daehak-ro, Yusung-gu, Deajeon-si, Republic of Korea have published the research: 1284 for sensor-based 1Artificial, in the Journal: (JOURNAL) of Mar/17,/2020
- what: The authors propose a novel method (IVD) to improve many aspects of agriculture for vision-based autonomous machines or robots. In this study, a new color space image based on feature F is proposed, and the crop image is segmented by applying the Otsu method to the new color space image.
- how: The proposed method . . .
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