Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yuncheng Dong"'
Publikováno v:
Agriculture, Vol 14, Iss 8, p 1344 (2024)
Existing cleaning devices for edible sunflower have a low cleaning efficiency, high cleaning loss rate, and high impurity rate; therefore, a wind-sieve-type cleaning device for edible sunflower harvesting was designed. According to the characteristic
Externí odkaz:
https://doaj.org/article/3fb4a57434ce4716b2c543744dd2d63a
Publikováno v:
Biomimetics, Vol 9, Iss 8, p 500 (2024)
In order to further improve performance of the Slime Mould Algorithm, the Enhanced Multi-Strategy Slime Mould Algorithm (EMSMA) is proposed in this paper. There are three main modifications to SMA. Firstly, a leader covariance learning strategy is pr
Externí odkaz:
https://doaj.org/article/64f6671c49464cc0a1d7df557a5eaf55
Publikováno v:
Agriculture, Vol 14, Iss 4, p 592 (2024)
This study aims at the problems of high labor intensity, high cost and high loss rate of mechanical picking of seeds, low mechanization level and difficulty to guarantee the quality of picking plates in the process of picking edible sunflower. Based
Externí odkaz:
https://doaj.org/article/2ef8f2f36fb7436babc384a45ea7ebb8
Publikováno v:
Agriculture, Vol 14, Iss 3, p 446 (2024)
To solve the problems associated with the poor harvesting ability of existing sunflower harvester cutting tables, and high seed drop rates, we designed a sunflower cutting table that can greatly improve the operational performance of sunflower combin
Externí odkaz:
https://doaj.org/article/d588be2fa70647f8ad55fb20f70b5ad6
Publikováno v:
Surface and Interface Analysis. 55:105-112
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfe78ae35ac204a6981ab7fa2630c205
https://doi.org/10.1002/sia.7164
https://doi.org/10.1002/sia.7164
Publikováno v:
Materials Science-Poland; Aug2022, Vol. 40 Issue 2, p214-222, 9p
Publikováno v:
ISCID (2)
We present an improved adaptive genetic algorithm for rectangular layout in stone cutting process. Firstly, the mathematical model for stone layout is proposed and established. Secondly, a heuristic algorithm based on the area size and the length-wid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65f2ec95e957ffca4a995a20ccb63d0c
https://doi.org/10.1109/iscid.2018.10153
https://doi.org/10.1109/iscid.2018.10153
Publikováno v:
ISCID (2)
In order to learn and grasp the predetermined workpieces for robot actively, a recognition algorithm based on machine learning is proposed. Compared with traditional algorithms, we replenish a MTSM (multi threshold space model) for getting clearer wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::045f6d873f4de66f60944db087fb6501
https://doi.org/10.1109/iscid.2018.10185
https://doi.org/10.1109/iscid.2018.10185
Publikováno v:
2018 3rd International Conference on Robotics and Automation Engineering (ICRAE).
Contour extraction is a fundamental problem in computer vision, and widely applied to visual projects. However, for some scenes with complex background or objects to be extracted are similar to background, traditional methods seem powerless. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d774841df5c59c5ee66574da68c1beac
https://doi.org/10.1109/icrae.2018.8586711
https://doi.org/10.1109/icrae.2018.8586711