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Ping Z, Ruijin G, Tianci J, Guozhi Z, Ning X. Collision simulation of potato tubers for mechanized harvesting. J FOOD PROCESS ENG 2023. [DOI: 10.1111/jfpe.14278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Affiliation(s)
- Zhao Ping
- College of Engineering Shenyang Agricultural University Shenyang Liaoning China
- Key Laboratory of Horticultural Crops and Agricultural Equipment Ministry of Agriculture and Rural Affairs Shenyang Liaoning China
| | - Guo Ruijin
- College of Engineering Shenyang Agricultural University Shenyang Liaoning China
| | - Jin Tianci
- College of Engineering Shenyang Agricultural University Shenyang Liaoning China
| | - Zhang Guozhi
- Agrotechnical Extension Center of Jianping County Shenyang Liaoning China
| | - Xiaofeng Ning
- College of Engineering Shenyang Agricultural University Shenyang Liaoning China
- Key Laboratory of Horticultural Crops and Agricultural Equipment Ministry of Agriculture and Rural Affairs Shenyang Liaoning China
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Rashvand M, Altieri G, Genovese F, Matera A, Mammadov O, li Z, Di Renzo GC. Potential of finite element method to optimize the olive harvester machine (hand‐held rotary harvester). J FOOD PROCESS ENG 2022. [DOI: 10.1111/jfpe.14268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Mahdi Rashvand
- School of Agriculture, Forestry, Food and Environmental Science University of Basilicata Potenza Italy
| | - Giuseppe Altieri
- School of Agriculture, Forestry, Food and Environmental Science University of Basilicata Potenza Italy
| | - Francesco Genovese
- School of Agriculture, Forestry, Food and Environmental Science University of Basilicata Potenza Italy
| | - Attilio Matera
- School of Agriculture, Forestry, Food and Environmental Science University of Basilicata Potenza Italy
| | - Orkhan Mammadov
- School of Agriculture, Forestry, Food and Environmental Science University of Basilicata Potenza Italy
| | - Zhiguo li
- College of Mechanical and Electronic Engineering Northwest A&F University Yangling China
| | - Giovanni Carlo Di Renzo
- School of Agriculture, Forestry, Food and Environmental Science University of Basilicata Potenza Italy
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Image processing algorithms in the assessment of grain damage degree. BIO-ALGORITHMS AND MED-SYSTEMS 2021. [DOI: 10.1515/bams-2021-0063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
Objectives
The paper presents preliminary results on the assessment of algorithms used in image processing of the grain damage degree. The purpose of the work is developing a tool allowing to analyse sample cross-sections of rye germs.
Methods
The analysis of the grain cross-sections was carried out on the basis of a series their photos taken at equal time intervals at a set depth. The cross-sections will be used to create additional virtual cross-sections allowing to analyse the whole sample volume. The ultimate plan is to generate two cross-sections perpendicular to each other. Based on volumetric data read from the sample section, a three-dimensional model of an object will be generated.
Results
The analysis of model surface will allowed us to detect possible grain damage. The developed method of preparing the research material and the proprietary application allowed for the identification of internal defects in the biological material (cereal grains).
Conclusions
The presented methodology may be used in the agri-food industry in the future. However, much research remains to be done. These works should primarily aim at significantly reducing the time-consuming nature of individual stages, as well as improving the quality of the reconstructed image.
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