Technology Recommendations for an Innovative Agricultural Robot Design Based on Technology Knowledge Graphs

The process of agricultural robot design is a complex system requiring the cooperation and integration of agricultural, machinery, automation, and information technology. These demands create great challenges for the innovative design of agricultural robots. Meanwhile, more than 95% of the latest in...

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Autores principales:	Yucheng Jin, Jizhan Liu, Xiuhong Wang, Pingping Li, Jizhang Wang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	knowledge graph agricultural robot technology recommendation innovative design Chemical technology TP1-1185 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/e65854e56fac407ba2dbe30ee44c7706
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spelling	oai:doaj.org-article:e65854e56fac407ba2dbe30ee44c77062021-11-25T18:50:18ZTechnology Recommendations for an Innovative Agricultural Robot Design Based on Technology Knowledge Graphs10.3390/pr91119052227-9717https://doaj.org/article/e65854e56fac407ba2dbe30ee44c77062021-10-01T00:00:00Zhttps://www.mdpi.com/2227-9717/9/11/1905https://doaj.org/toc/2227-9717The process of agricultural robot design is a complex system requiring the cooperation and integration of agricultural, machinery, automation, and information technology. These demands create great challenges for the innovative design of agricultural robots. Meanwhile, more than 95% of the latest inventions and creations in the world are recorded in the patent literature. In order to make effective use of the information and data resources of patents, shorten the design cycle, and provide knowledge for the designers, according to the operation’s objectives, an agricultural robot technology knowledge graph (TKG) was established for innovative designs. By analyzing the patent information, a patent IPC co-classification network (IPCNet) for adaptive design process recognition was put forward to meet the requirements of the different operation objectives and operation links. Through the extraction of the technology keywords and efficacy keywords, based on the word co-occurrence network (WCONet), a technology–efficacy map (TEM) was constructed. Through the integration of the adaptive design process and the TEM, the agricultural robot design TKG was constructed for determining technological recommendations for agricultural robot design. The case of the citrus picking robot design was realized to implement the design process. With the technology recommendation results, the moving system, body, and end-effector for the citrus picking robot were designed to verify the results of the recommendation.Yucheng JinJizhan LiuXiuhong WangPingping LiJizhang WangMDPI AGarticleknowledge graphagricultural robottechnology recommendationinnovative designChemical technologyTP1-1185ChemistryQD1-999ENProcesses, Vol 9, Iss 1905, p 1905 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	knowledge graph agricultural robot technology recommendation innovative design Chemical technology TP1-1185 Chemistry QD1-999
spellingShingle	knowledge graph agricultural robot technology recommendation innovative design Chemical technology TP1-1185 Chemistry QD1-999 Yucheng Jin Jizhan Liu Xiuhong Wang Pingping Li Jizhang Wang Technology Recommendations for an Innovative Agricultural Robot Design Based on Technology Knowledge Graphs
description	The process of agricultural robot design is a complex system requiring the cooperation and integration of agricultural, machinery, automation, and information technology. These demands create great challenges for the innovative design of agricultural robots. Meanwhile, more than 95% of the latest inventions and creations in the world are recorded in the patent literature. In order to make effective use of the information and data resources of patents, shorten the design cycle, and provide knowledge for the designers, according to the operation’s objectives, an agricultural robot technology knowledge graph (TKG) was established for innovative designs. By analyzing the patent information, a patent IPC co-classification network (IPCNet) for adaptive design process recognition was put forward to meet the requirements of the different operation objectives and operation links. Through the extraction of the technology keywords and efficacy keywords, based on the word co-occurrence network (WCONet), a technology–efficacy map (TEM) was constructed. Through the integration of the adaptive design process and the TEM, the agricultural robot design TKG was constructed for determining technological recommendations for agricultural robot design. The case of the citrus picking robot design was realized to implement the design process. With the technology recommendation results, the moving system, body, and end-effector for the citrus picking robot were designed to verify the results of the recommendation.
format	article
author	Yucheng Jin Jizhan Liu Xiuhong Wang Pingping Li Jizhang Wang
author_facet	Yucheng Jin Jizhan Liu Xiuhong Wang Pingping Li Jizhang Wang
author_sort	Yucheng Jin
title	Technology Recommendations for an Innovative Agricultural Robot Design Based on Technology Knowledge Graphs
title_short	Technology Recommendations for an Innovative Agricultural Robot Design Based on Technology Knowledge Graphs
title_full	Technology Recommendations for an Innovative Agricultural Robot Design Based on Technology Knowledge Graphs
title_fullStr	Technology Recommendations for an Innovative Agricultural Robot Design Based on Technology Knowledge Graphs
title_full_unstemmed	Technology Recommendations for an Innovative Agricultural Robot Design Based on Technology Knowledge Graphs
title_sort	technology recommendations for an innovative agricultural robot design based on technology knowledge graphs
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e65854e56fac407ba2dbe30ee44c7706
work_keys_str_mv	AT yuchengjin technologyrecommendationsforaninnovativeagriculturalrobotdesignbasedontechnologyknowledgegraphs AT jizhanliu technologyrecommendationsforaninnovativeagriculturalrobotdesignbasedontechnologyknowledgegraphs AT xiuhongwang technologyrecommendationsforaninnovativeagriculturalrobotdesignbasedontechnologyknowledgegraphs AT pingpingli technologyrecommendationsforaninnovativeagriculturalrobotdesignbasedontechnologyknowledgegraphs AT jizhangwang technologyrecommendationsforaninnovativeagriculturalrobotdesignbasedontechnologyknowledgegraphs
_version_	1718410684421636096

Technology Recommendations for an Innovative Agricultural Robot Design Based on Technology Knowledge Graphs

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