Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Youliang Ni"'
Publikováno v:
Data in Brief, Vol 52, Iss , Pp 109833- (2024)
Deep learning and machine vision technology are widely applied to detect the quality of mechanized soybean harvesting. A clean dataset is the foundation for constructing an online detection learning model for the quality of mechanized harvested soybe
Externí odkaz:
https://doaj.org/article/2ca21a3f58c94842a7993c2b3655dc53
Publikováno v:
Agriculture, Vol 14, Iss 1, p 65 (2023)
In the context of automatic driving, the analysis of the steering motion characteristics is critical for enhancing the efficiency of crawler harvesters. To address issues such as the low transmission efficiency and the large steering radius encounter
Externí odkaz:
https://doaj.org/article/ed3eb5882bfc4c76acd350f9325aaf55
Publikováno v:
Agriculture, Vol 13, Iss 10, p 2001 (2023)
Aiming at the demand by unmanned farms for unmanned operation in the entire process of field management, an unmanned plant protection robot for field management was developed based on a platform comprising a traditional high-clearance spray rod spray
Externí odkaz:
https://doaj.org/article/ea40e8ddfa754645815f0f4123de8469
Publikováno v:
Sensors, Vol 22, Iss 19, p 7627 (2022)
Wheat, one of the most important food crops in the world, is usually harvested mechanically by combine harvesters. The impurity rate is one of the most important indicators of the quality of wheat obtained by mechanized harvesting. To realize the onl
Externí odkaz:
https://doaj.org/article/bb47dffb4af04b4aac9f1ca6e58a5e8e
Publikováno v:
INMATEH - Agricultural Engineering; 2024, Vol. 73 Issue 2, p731-744, 14p
Publikováno v:
Biosystems Engineering. 226:144-154
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::022977baf8505006735eccbb36f53a39
https://doi.org/10.1016/j.biosystemseng.2023.01.001
https://doi.org/10.1016/j.biosystemseng.2023.01.001
Publikováno v:
Food Science and Technology. 43
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b360871f89f77a5cde63557f314eb7f
https://doi.org/10.1590/fst.111822
https://doi.org/10.1590/fst.111822
Publikováno v:
Food Science and Technology v.42 2022
Food Science and Technology (Campinas)
Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)
instacron:SBCTA
Food Science and Technology (Campinas)
Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)
instacron:SBCTA
Rapid and timely acquisition of the crushing rate can help in assessing the performance of combine harvesters, which is very important for agricultural production. The spectral reflectance of soybean provides an alternative method to the classical ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b8dda9c5c78e1b85d025440d3f8ef25
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612022000101121
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612022000101121
Publikováno v:
Computers and Electronics in Agriculture. 198:107047
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b78b32a2e2e3c6c516e50521ed822017
https://doi.org/10.1016/j.compag.2022.107047
https://doi.org/10.1016/j.compag.2022.107047
Autor:
Guangshun An1 azl17613@163.com, Chong Yu1 1820012112@qq.com, Juan Du1 dujuan0427@163.com, Xiang Yin1 yinxiang@sdut.edu.cn, Youliang Ni2 niyouliang@caas.cn, Chengqian Jin1,2 412114402@qq.com
Publikováno v:
International Journal of Agricultural & Biological Engineering. Feb2024, Vol. 17 Issue 1, p209-214. 6p.