Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rafael Bidese‐Puhl"'
Autor:
Kamand Bagherian, Rafael Bidese‐Puhl, Yin Bao, Qiong Zhang, Alvaro Sanz‐Saez, Phat M. Dang, Marshall C. Lamb, Charles Chen
Publikováno v:
Plant Phenome Journal, Vol 6, Iss 1, Pp n/a-n/a (2023)
Abstract Agronomic and physiological traits in peanut (Arachis hypogaea) are important to breeders for selecting high‐yielding and resilient genotypes. However, direct measurement of these traits is labor‐intensive and time‐consuming. This stud
Externí odkaz:
https://doaj.org/article/034c73e43c784b2492b7786fff9f5e05
Publikováno v:
Journal of the ASABE. 66:469-477
Highlights A deep learning-based machine vision system was developed for pine seedling counting. Automated seedling counting achieved less error than the manual sampling-based practice. Regression-based counting from optical flow inputs achieved the
Estimation of Equine Stride Length and Stance Duration Using Stereo 3D Videography and Deep Learning
Publikováno v:
2022 Houston, Texas July 17-20, 2022.
Publikováno v:
2022 Houston, Texas July 17-20, 2022.
Autor:
Kamand Bagherian, Rafael Bidese Puhl, Yin Bao, Qiong Zhang, Alvaro Sanz-Saez, Charles Chen, Phat Dang
Publikováno v:
2022 Houston, Texas July 17-20, 2022.
Publikováno v:
2021 ASABE Annual International Virtual Meeting, July 12-16, 2021.