Author dc.contributor.author | Wang Guo Chun | |
Author dc.contributor.author | Zhang Qian | |
Author dc.contributor.author | Band Shahab S. | |
Author dc.contributor.author | Dehghani Majid | |
Author dc.contributor.author | Chau Kwok wing | |
Author dc.contributor.author | Tho Quan Thanh | |
Author dc.contributor.author | Zhu Senlin | |
Author dc.contributor.author | Samadianfard Saeed | |
Author dc.contributor.author | Mosavi Amir | |
Availability Date dc.date.accessioned | 2023-02-16T11:06:13Z | |
Availability Date dc.date.available | 2023-02-16T11:06:13Z | |
Release dc.date.issued | 2022 | |
Issn dc.identifier.issn | 1997-003X | |
Issn dc.identifier.issn | 1994-2060 | |
uri dc.identifier.uri | http://hdl.handle.net/20.500.12944/19954 | |
Abstract dc.description.abstract | The present study focused on the development, optimization, and performance evaluation of a harvesting robot for heavyweight agricultural products. The main objective of developing this system is to improve the harvesting process of the mentioned crops. The pumpkin was selected as a heavyweight target crop for this study. The main components of the robot consist of mobile platforms (the main robot tractor and a parallel robot tractor), a manipulation system and its end-effector, and an integrated control unit. The development procedure was divided into four stages: stage I (designed system using Solidworks), stage II (installation of the developed system on a temporary platform), stage III (developed system on an RT-1 (Yanmar EG453)), and stage IV (developed system on an RT-2 (Yanmar YT5113)). Various indicators related to the performance of the robot were evaluated. The accuracy of 5.8 and 4.78 mm in x and y directions and repeatability of 5.11 mm were observed. The harvesting success rate of 87~92%, and damage rate of 5% resulted in the evaluation of the final version. The average cycle time was 35.1 s, 42.6 s, and 43.2 s for stages II, III, and IV, respectively. The performance evaluations showed that the system’s indicators are good enough to harvest big-sized and heavy-weighted crops. Development of the unique and unified system, including a mobile platform, a manipulation system, an end-effector, and an integrated algorithm, completed the targeted harvesting process appropriately. The system can increase the speed and improve the harvesting process because it can work all day long, has a precise robotic manipulation and end-effector, and a programmable controlling system that can work autonomously. | |
Language dc.language | en | |
Keywords dc.subject | hydrological drought | |
Keywords dc.subject | extreme learning machines | |
Keywords dc.subject | machine learning | |
Keywords dc.subject | artificial intelligence | |
Keywords dc.subject | standardized precipitation index | |
Title dc.title | Monthly and seasonal hydrological drought forecasting using multiple extreme learning machine models | |
Type dc.type | folyóiratcikk | |
Date Change dc.date.updated | 2023-02-14T13:42:42Z | |
Version dc.description.version | kiadói | |
dc.rights.accessRights | nyílt hozzáférésű | |
Doi ID dc.identifier.doi | 10.1080/19942060.2022.2089732 | |
Discipline Discipline + dc.subject.discipline | Műszaki tudományok | |
dc.subject.sciencebranch | Bio-, környezet és vegyészmérnöki tudományok | |
MTMT ID dc.identifier.mtmt | 32915006 | |
dc.identifier.journalTitle | Engineering Applications Of Computational Fluid Mechanics | |
dc.identifier.journalVolume | 16 | |
dc.identifier.journalIssueNumber | 1 | |
Scope dc.format.page | 1364-1381 | |
Wos ID dc.identifier.wos | 000819983200001 | |
ID Scopus dc.identifier.scopus | 85133364862 | |
dc.identifier.journalAbbreviatedTitle | ENG APPL COMP FLUID | |
Release Date dc.description.issuedate | 2022 | |
Author institution dc.contributor.department | Szoftvertervezés- és Fejlesztés Intézet | |
Author institution dc.contributor.department | Információs Társadalom Kutatóintézet | |
Author institution dc.contributor.department | Informatikai Tudományok Doktori Iskola | |
Author institution dc.contributor.department | Óbudai Egyetem | |
Author institution dc.contributor.department | Biztonságtudományi Doktori Iskola | |
Author institution dc.contributor.department | Felsőbbfokú Tanulmányok Intézete |