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Automated Windrow Profiling System in Mechanized Peanut Harvesting

dc.contributor.authorSenni, Alexandre Padilha
dc.contributor.authorTronco, Mario Luiz
dc.contributor.authorPedrino, Emerson Carlos
dc.contributor.authorSilva, Rouverson Pereira da [UNESP]
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2025-04-29T18:58:01Z
dc.date.issued2024-12-01
dc.description.abstractIn peanut cultivation, the fact that the fruits develop underground presents significant challenges for mechanized harvesting, leading to high loss rates, with values that can exceed 30% of the total production. Since the harvest is conducted indirectly in two stages, losses are higher during the digging/inverter stage than the collection stage. During the digging process, losses account for about 60% to 70% of total losses, and this operation directly influences the losses during the collection stage. Experimental studies in production fields indicate a strong correlation between losses and the height of the windrow formed after the digging/inversion process, with a positive correlation coefficient of 98.4%. In response to this high correlation, this article presents a system for estimating the windrow profile during mechanized peanut harvesting, allowing for the measurement of crucial characteristics such as the height, width and shape of the windrow, among others. The device uses an infrared laser beam projected onto the ground. The laser projection is captured by a camera strategically positioned above the analyzed area, and through advanced image processing techniques using triangulation, it is possible to measure the windrow profile at sampled points during a real experiment under direct sunlight. The technical literature does not mention any system with these specific characteristics utilizing the techniques described in this article. A comparison between the results obtained with the proposed system and those obtained with a manual profilometer showed a root mean square error of only 28 mm. The proposed system demonstrates significantly greater precision and operates without direct contact with the soil, making it suitable for dynamic implementation in a control mesh for a digging/inversion device in mechanized peanut harvesting and, with minimal adaptations, in other crops, such as beans and potatoes.en
dc.description.affiliationSao Carlos School of Engineering University of Sao Paulo
dc.description.affiliationDepartment of Computing Federal University of Sao Carlos
dc.description.affiliationSchool of Agricultural and Veterinary Sciences Sao Paulo State University
dc.description.affiliationUnespSchool of Agricultural and Veterinary Sciences Sao Paulo State University
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.format.extent3511-3537
dc.identifierhttp://dx.doi.org/10.3390/agriengineering6040200
dc.identifier.citationAgriEngineering, v. 6, n. 4, p. 3511-3537, 2024.
dc.identifier.doi10.3390/agriengineering6040200
dc.identifier.issn2624-7402
dc.identifier.scopus2-s2.0-85213238986
dc.identifier.urihttps://hdl.handle.net/11449/301368
dc.language.isoeng
dc.relation.ispartofAgriEngineering
dc.sourceScopus
dc.subject3D reconstruction
dc.subjectArachis hypogaeaL
dc.subjectcomputer vision
dc.subjectmechanized peanut harvesting
dc.subjectprecision agriculture
dc.titleAutomated Windrow Profiling System in Mechanized Peanut Harvestingen
dc.typeArtigopt
dspace.entity.typePublication
relation.isOrgUnitOfPublication3d807254-e442-45e5-a80b-0f6bf3a26e48
relation.isOrgUnitOfPublication.latestForDiscovery3d807254-e442-45e5-a80b-0f6bf3a26e48
unesp.author.orcid0000-0002-3050-466X[2]
unesp.author.orcid0000-0003-3734-3202[3]
unesp.author.orcid0000-0001-8852-2548[4]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt

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