Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Rongbin Bu"'
Publikováno v:
Sensors, Vol 18, Iss 4, p 969 (2018)
Night-time fruit-picking technology is important to picking robots. This paper proposes a method of night-time detection and picking-point positioning for green grape-picking robots to solve the difficult problem of green grape detection and picking
Externí odkaz:
https://doaj.org/article/3c181cd548bd44a5879ab86b5f68b254
Publikováno v:
Sensors, Vol 18, Iss 3, p 700 (2018)
The non-destructive testing of litchi fruit is of great significance to the fresh-keeping, storage and transportation of harvested litchis. To achieve quick and accurate micro-damage detection, a non-destructive grading test method for litchi fruits
Externí odkaz:
https://doaj.org/article/6e48aa52cab441e5997a064d7bb41949
Autor:
Chen Shumian, Wentao Guo, Rongbin Bu, Zhengang Yang, Juntao Xiong, Xiaoyun Lin, Zhenhui Zheng
Publikováno v:
Precision Agriculture. 21:782-801
Effective shadow detection and shadow removal can improve the performance of fruit recognition in natural environments and provide technical support for agricultural intelligence. In this study, a superpixel segmentation method was used to divide an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9132af50eda22b29fd56b5f2f247a278
https://doi.org/10.1007/s11119-019-09695-1
https://doi.org/10.1007/s11119-019-09695-1
Autor:
Yunqi Chen, Wentao Guo, Rongbin Bu, Rui Lin, Juntao Xiong, Zhengang Yang, Zhenhui Zheng, Chen Shumian
Publikováno v:
Journal of Cereal Science. 88:87-95
The machine vision-based quality evaluation of colored rice is an important component of achieving automatic rice production and processing. This study took red indica rice as the research object and developed a machine vision system for inspecting f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd7607365a40eb0537447a28a0710a07
https://doi.org/10.1016/j.jcs.2019.05.010
https://doi.org/10.1016/j.jcs.2019.05.010
Autor:
Zhen Liu, Hongxing Peng, Zhiliang He, Rui Lin, Xiangjun Zou, Juntao Xiong, Rongbin Bu, Zhengang Yang
Publikováno v:
Computers and Electronics in Agriculture. 151:226-237
Visual localization by picking robots in natural environments is a difficult problem due to disturbance by interference factors. To solve this problem, research on visual positioning for dynamic litchi clusters with disturbance under natural environm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::855347fddc44298cc452fced4d56c34f
https://doi.org/10.1016/j.compag.2018.06.007
https://doi.org/10.1016/j.compag.2018.06.007
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 18, Iss 4, p 969 (2018)
Sensors; Volume 18; Issue 4; Pages: 969
Sensors, Vol 18, Iss 4, p 969 (2018)
Sensors; Volume 18; Issue 4; Pages: 969
Night-time fruit-picking technology is important to picking robots. This paper proposes a method of night-time detection and picking-point positioning for green grape-picking robots to solve the difficult problem of green grape detection and picking
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1294598430c5b899d7e01907e122addb
https://pubmed.ncbi.nlm.nih.gov/29587378
https://pubmed.ncbi.nlm.nih.gov/29587378
Publikováno v:
Sensors; Volume 18; Issue 3; Pages: 700
Sensors (Basel, Switzerland)
Sensors, Vol 18, Iss 3, p 700 (2018)
Sensors (Basel, Switzerland)
Sensors, Vol 18, Iss 3, p 700 (2018)
The non-destructive testing of litchi fruit is of great significance to the fresh-keeping, storage and transportation of harvested litchis. To achieve quick and accurate micro-damage detection, a non-destructive grading test method for litchi fruits
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d335091b6b123256130a429952c68b84
https://doi.org/10.3390/s18030700
https://doi.org/10.3390/s18030700