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Quality of coffee planting techniques by aerial sensors and statistical process control

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dc.contributor.author Santana, Lucas Santos
dc.contributor.author Ferraz, Gabriel Araújo e Silva
dc.contributor.author Cunha, João Paulo Barreto
dc.contributor.author Marin, Diego Bedin
dc.contributor.author Bento, Nicole Lopes
dc.contributor.author Faria, Rafael de Oliveira
dc.date.accessioned 2024-10-03T00:14:00Z
dc.date.available 2024-10-03T00:14:00Z
dc.date.issued 2024
dc.identifier.citation SANTANA, L. S. et al. Quality of coffee planting techniques by aerial sensors and statistical process control. Revista Ciência Agronômica, Fortaleza, v. 56, e202192203, 2025. pt_BR
dc.identifier.issn 1806-6690
dc.identifier.uri https://doi.org/10.5935/1806-6690.20250001 pt_BR
dc.identifier.uri http://www.sbicafe.ufv.br/handle/123456789/14653
dc.description.abstract Planting is considered one of the most essential steps in coffee growing. Lack of uniformity in planting may compromise future operations. Therefore, verifying planting operations quality is fundamental to optimizing production processes and reducing costs. This study aimed to investigate planting techniques through Statistical Process Control (SPC) and aerial images. Carried out in two areas, managed manually and semi-mechanized in the Bom Jardim Farm (MG - Brazil). Data were collected through Remotely Piloted Aircraft (RPA). Quality control charts and density maps were used to identify variations in distribution and spacing between plants and planting rows. It was found that the planting carried out manually was 4.7% wider than projected due to spacing reduction from 0.5 m to 0.48 m. The semi-mechanized system displayed a deficit of 7% compared to the projected planting system, using 0.55 m between plants. The density map showed the most significant planting alignment variations. Despite displaying lower results than the manual system, the semi-mechanized system improvements are valid for their minimal average variations. Thus, correcting points found outside the limits can increase the efficiency of semi-mechanized planting. pt_BR
dc.format pdf pt_BR
dc.language.iso en pt_BR
dc.publisher Universidade Federal do Ceará pt_BR
dc.relation.ispartofseries Revista Ciência Agronômica;v. 56, e202192203, 2025;
dc.rights Open Access pt_BR
dc.subject Remote sensing pt_BR
dc.subject Process Quality pt_BR
dc.subject Precision Agriculture pt_BR
dc.subject.classification Cafeicultura::Implantação e manejo da lavoura pt_BR
dc.title Quality of coffee planting techniques by aerial sensors and statistical process control pt_BR
dc.type Artigo pt_BR

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