Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Daoliang Li"'
Publikováno v:
IEEE Transactions on Image Processing. 32:72-87
Autor:
Siyuan Mei, Yingyi Chen, Hanxiang Qin, Huihui Yu, Daoliang Li, Boyang Sun, Ling Yang, Yeqi Liu
Publikováno v:
Computer Modeling in Engineering & Sciences. 131:1315-1335
Publikováno v:
2021 IEEE International Conference on Educational Technology (ICET).
In order to solve the problems of poor visualization and time/place limitation in traditional “hydraulic transmission” classroom teaching, a novel hydraulic components teaching subsystem based on augmented reality (AR) technology is developed, wh
Publikováno v:
Aquacultural Engineering. 85:49-55
Automatic visual inspection (AVI) is a popular tool for object detection and analysis in many fields. In fisheries, AVI systems designed for fish egg development analysis are used for fish egg assessments in commercial and experimental fish productio
Autor:
Y. Yu, Tahir Usman, L. Zhou, L. Liu, Yingzheng Wang, Q. Chu, Daoliang Li, W.H. Shi, S.Y. Hou, Shengli Zhang, Z.Q. Xie, Y. Zhang, L.R. Hu
Publikováno v:
Animal, Vol 15, Iss 1, Pp 100066-(2021)
Crossbreeding is an essential way of improving herd performance. However, frequent parentage record errors appear, which results in the lower accuracy of genetic parameter estimation and genetic evaluation. This study aims to build a single nucleotid
Autor:
Cheng Li, Daoliang Li, Krishna S. Nemali, Kirby Kalbaugh, Ranjeeta Adhikari, Yuan Yao, Alexander G. Miller
Publikováno v:
Computers and Electronics in Agriculture. 168:105123
High plant number per unit area makes it challenging to monitor plant growth in controlled environment agriculture (CEA) systems. Our objective was to develop and validate image analysis technique that uses a smartphone connected to local desktop com
Publikováno v:
Applied Soft Computing. 24:585-596
A feature selection method for online detection of cotton foreign fiber is presented.The proposed method efficiently finds the excellent subset in multi-character feature sets.The selected sets by proposed method efficiently reduce the time of online
Publikováno v:
Intelligent Automation & Soft Computing. 18:1121-1132
Significant developments in the field of remote sensing have widened the application fields of remote sensing. One of the application fields is a land consolidation project. Multi-temporal and/or multi-sensor remote sensing provides a unique tool to
Publikováno v:
Intelligent Automation & Soft Computing. 18:1145-1155
As the fact that the emergence and development of crop nutrient deficiency has become more common nowadays, this research aims to find a method to segment and determine nutrient deficiency regions of crop images based on image processing technology.
Publikováno v:
Intelligent Automation & Soft Computing. 18:1133-1143
Because of the complexity and diversity of the terrain and cover types in coal mine dump, it is difficult to set up the research points in the wild dump. This paper introduces an embedded GPS and GIS technology and develops portable environmental inf