Diagnosis of losses in the mechanized harvest of two cultivars of industrial tomato

Soares, Cláudio M.; Alves, Sandra; Freitas, Elaine de Fatima Miranda; Rocha, Ivandro José de Freitas; Santos, Caroline Xavier dos; Farias, Hiago Felipe Lopes de

doi:10.5039/agraria.v14i1a5608

Cited by 3 publications

(3 citation statements)

References 9 publications

(17 reference statements)

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“…Some studies demonstrate the SPC eff ectiveness in improving agricultural processes, which were verifi ed in quality studies in mechanized herbicide application in wheat (SUGUISAWA et al, 2007), vegetation cover distribution and losses in mechanized soybean harvest (TOLEDo et al, 2008), mechanized harvesting in irrigated coff ee planting (CUSTÓDIO et al, 2012), sprinkler irrigation quality (ANDRADE et al, 2017), and damage and loss diagnosis in mechanized tomato harvesting (SOARES et al, 2019).…”

Section: Introductionmentioning

confidence: 88%

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

Santana,

Ferraz,

Cunha

et al. 2025

RCA

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Planting is considered one of the most essential steps in coff ee 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 defi cit of 7% compared to the projected planting system, using 0.55 m between plants. The density map showed the most signifi cant 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 effi ciency of semi-mechanized planting.

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Section: Introductionmentioning

confidence: 88%

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

Santana,

Ferraz,

Cunha

et al. 2025

RCA

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“…Sampling was carried out in a regular grid of 60x60m (Figure 2) based on bibliographic surveys of related works [15,16]. The sample grid was constructed with the aid of the geographic information system (GIS) software Arcmap ®, create fishnet routine, Universal Transverse Mercartor (UTM) plane coordinate system, 22 S spindle, totaling 88 georeferenced points [17].…”

Section: Determination Of Leaf Area From the Destructive Methodsmentioning

confidence: 99%

Sentinel Image to Estimate Industrial Tomato Leaf Area Index

Dorneles,

Brito,

Rocha

et al. 2023

Braz. arch. biol. technol.

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The Leaf Area Index (LAI) is one of the main physiological parameters of the plant related to transpiration, productivity and rainfall interception. Among the methods to determine the LAI, the use of remote sensing that estimates the LAI through image processing techniques stands out. Thus, the objective of this work was to estimate the LAI for industrial tomatoes from orbital remote sensing images and validate the results with the LAI obtained by the destructive method. The study was carried out in an area irrigated by a central pivot in the municipality of Vila Propício of Goiás. The leaf area was determined from georeferenced sampling in a regular grid of 60x60m, to calculate the SAVI and IAF vegetation index, 4 images obtained through the Sentinel satellite were used in the period from 07/01/2018 to 07/31/2018 where the culture is in the second phase of the vegetative cycle. The LAI estimated by the orbital remote sensing showed good results compared to the LAI obtained through the destructive method. The estimated leaf area index was not completely homogeneous, as part of the pivot showed better results, with a growth in the vegetative development phase and a decrease in the maturation phase of the crop. The values of the statistical analysis of the real LAI compared to the estimated LAI were very close, but the coefficient of variation showed a greater difference between them, indicating that there may be a greater variation in the estimate. HIGHLIGHTS• It's possible to estimate the Leaf Area Index (LAI) for industrial tomato from remote sensing.• The estimated LAI was not completely homogeneous.• The LAI estimated through orbital remote sensing shows good results.• The orbital IAF validates the IAF results obtained by the destructive method for tomato.

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“…O crescimento populacional no mundo requer o desenvolvimento de uma série de inovações tecnológicas para expansão agrícola e, assim, suprir a demanda por alimentos. Entretanto, grande parte dessas inovações tem sido desenvolvidas nos moldes da agricultura convencional, tais como: a biotecnologia e a nanotecnologia (SILVA, 2019a), engenharia genética e cultivos de transgênicos (REINHEIMER, 2018), agricultura industrial e da globalização, cultivos altamente mecanizados e com uso em demasia de insumos químicos (ALTIERI, 2010;SOARES et al, 2019).…”

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Morfogênese e consumo de água de estacas de romã sob aplicação de fitormônios exógenos

et al. 2020

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O aumento populacional mundial requer uma maior demanda por alimentos e, com isso, vem expansão de áreas agrícolas e/ou potencialização das áreas utilizadas atualmente através da agricultura convencional, que minam os recursos naturais. Entretanto, para solucionar essa problemática, faz-se necessário o uso de tecnologias e inovações que preservem os recursos naturais. Nesse contexto, objetivou-se avaliar a influência de concentrações de fitormônios na morfogênese e consumo de água por estacas de romã. O trabalho foi desenvolvido no Laboratório de Fitopatologia e em ambiente protegido, pertencentes ao CCAA/UEPB. Foram estudadas quatro concentrações de fitormônios (0, 25, 50 e 100%) com três repetições. As variáveis analisadas foram: número de brotações, número de raízes e consumo de água pelas estacas de romãzeira. Os resultados demostraram que não houve efeito significativo das concentrações de fitormônios sobre as variáveis, embora, tenha-se observado variações no número de brotações e consumo de água. De acordo com as condições estudadas, concluiu-se que concentrações de fitormônios não influenciam a morfogênese e consumo de água por estacas de romã e outros estudos de maior complexidade envolvendo interações com outros fatores e concentrações dos fitormônios, bem como aumentar o intervalo de exposição das estacas de romãnzeira aos fitormônios, sejam realizados.

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Diagnosis of losses in the mechanized harvest of two cultivars of industrial tomato

Cited by 3 publications

References 9 publications

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

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

Sentinel Image to Estimate Industrial Tomato Leaf Area Index

Morfogênese e consumo de água de estacas de romã sob aplicação de fitormônios exógenos

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