Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Shilan Hong"'
Publikováno v:
Applied Sciences, Vol 12, Iss 22, p 11701 (2022)
Rice yield is closely related to the number and proportional area of rice panicles. Currently, rice panicle information is acquired with manual observation, which is inefficient and subjective. To solve this problem, we propose an improved Mask R-CNN
Externí odkaz:
https://doaj.org/article/870943c011a549beb90802427dd9ca13
A Deep Learning-Based System for Monitoring the Number and Height Growth Rates of Moso Bamboo Shoots
Publikováno v:
Applied Sciences, Vol 12, Iss 15, p 7389 (2022)
The number and growth of new shoots are very important information for bamboo forest cultivation and management. At present, there is no real-time, efficient and accurate monitoring method. In this study, a fixed webcam was applied for image capture,
Externí odkaz:
https://doaj.org/article/7e65aab63eeb401698d5affbfa8c043f