Application of ARMA modeling to the improvement of weight estimations in fruit sorting and grading machinery

Francés-Víllora, Jose V.; Calpe, J.; Martínez, M.; Rosado, A.; Serrano, Arturo; Calleja, Jorge de la; Díaz, Martín

doi:10.1109/icassp.2000.860197

Cited by 15 publications

(10 citation statements)

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“…The advantages of electronic weight sizers over mechanical sizers, according to Studman (1999) are: it is easier to recalibrate the machine for different size groups because it is not necessary to adjust all the ejection points individually; the electronic weight grader can achieve a more accurate weight measurement; and higher operating speeds are possible. Frances et al (2000), using an electronic weight sizer, processed a 150-g weight pattern piece 100 times at a speed of 16 fruits per second, obtaining a coefficient of variation (CV) of 0.34%. Disadvantages of the electronic weight sizer, according to Studman (1999), include the cost of the equipment and the need of personnel trained in electronics and computing.…”

Section: Fruit Weight Direct Determinationmentioning

confidence: 99%

Non-destructive technologies for fruit and vegetable size determination – A review

Moreda

Ortiz-Cañavate

García-Ramos

et al. 2009

Journal of Food Engineering

137

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Here, we review different methods for non-destructive horticultural produce size determination, focusing on electronic technologies capable of measuring fruit volume.The usefulness of produce size estimation is justified and a comprehensive classification system of the existing electronic techniques to determine dimensional size is proposed.The different systems identified are compared in terms of their versatility, precision and throughput. There is general agreement in considering that online measurement of axes, perimeter and projected area has now been achieved. Nevertheless, rapid and accurate volume determination of irregular-shaped produce, as needed for density sorting, has only become available in the past few years. An important application of density measurement is soluble solids content (SSC) sorting. If the range of SSC in the batch is narrow and a large number of classes are desired, accurate volume determination becomes important. A good alternative for fruit three-dimensional surface reconstruction, from which volume and surface area can be computed, is the combination of height profiles from a range sensor with a two-dimensional object image boundary from a solid-state camera (brightness image) or from the range sensor itself (intensity image). However, one of the most promising technologies in this field is 3-D multispectral scanning, which combines multispectral data with 3-D surface reconstruction.

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Section: Fruit Weight Direct Determinationmentioning

confidence: 99%

Non-destructive technologies for fruit and vegetable size determination – A review

Moreda

Ortiz-Cañavate

García-Ramos

et al. 2009

Journal of Food Engineering

137

View full text Add to dashboard Cite

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“…The weighing subsystems used in fruit sorting machines usually use load cells as sensors (Frances et al, 2000). In this case we used a load cell manufactured by Utilcell (2011), specifically the 260 model, which consists of a double bending beam load cell with viscous damping, of 5 kg capacity, accurate to 4,000 divisions OIML R60 class C (O.I.M.L.…”

Section: Weighing Subsystemmentioning

confidence: 99%

High speed intelligent classifier of tomatoes by colour, size and weight

Clement¹,

Novas²,

Gázquez³

et al. 2012

Span. j. agric. res.

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At present most horticultural products are classified and marketed according to quality standards, which provide a common language for growers, packers, buyers and consumers. The standardisation of both product and packaging enables greater speed and efficiency in management and marketing. Of all the vegetables grown in greenhouses, tomatoes are predominant in both surface area and tons produced. This paper will present the development and evaluation of a low investment classification system of tomatoes with these objectives: to put it at the service of producing farms and to classify for trading standards. An intelligent classifier of tomatoes has been developed by weight, diameter and colour. This system has optimised the necessary algorithms for data processing in the case of tomatoes, so that productivity is greatly increased, with the use of less expensive and lower performance electronics. The prototype is able to achieve very high speed classification, 12.5 ratings per second, using accessible and low cost commercial equipment for this. It decreases fourfold the manual sorting time and is not sen sitive to the variety of tomato classified. This system facilitates the processes of standardisation and quality control, increases the competitiveness of tomato farms and impacts positively on profitability. The automatic classification system described in this work represents a contribution from the economic point of view, as it is profitable for a farm in the short term (less than six months), while the existing systems, can only be used in large trading centers.Additional key words: artificial vision; low cost; Solanum lycopersicum; trading. Resumen Clasificadora inteligente de tomates de alta velocidad por color, tamaño y pesoEn la actualidad la mayoría de los productos hortofrutícolas son clasificados y comercializados según unos estándares de calidad, que proporcionan un lenguaje común para productores, empacadores, compradores y consumidores. De todas las hortalizas cultivadas en invernadero, el tomate es el que más presencia tiene en superficie y toneladas producidas. En este trabajo se desarrolla y evalúa un sistema de clasificación de tomates de bajo coste con dos objetivos: que sirva a los productores de tomate y que sea capaz de clasificar según los estándares establecidos. En este trabajo se desarrolla un clasificador inteligente de tomates según su peso, diámetro y color. Este sistema optimiza los algoritmos de análisis para el caso específico del tomate, con la ventaja del uso de electrónica de bajo coste. El prototipo es capaz de conseguir la clasificación a velocidad muy elevada, 12.5 clasificaciones por segundo, y utilizando para ello equipos comerciales accesibles y de bajo coste. Se consigue disminuir 4 veces el tiempo de la clasificación manual y no es sensible a la variedad de tomate clasificado. Este sistema facilita los procesos de estandarización y control de calidad, permitiendo aumentar la competitividad de las explotaciones agrícolas de tomate, repercutiendo positivamente en s...

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“…As the weighing sensor and transmitter are equivalent to a single control system, the output weighing signals are the step responses of this system (Frances et al, 2000). In debugging process, the weighing signals present oscillations before reaching stable with the transmitter filter time 0 ms, but shown as figure 1 with transmitter filter time 10 ms. System order is the inherent attribute which keeps invariant while the transmitter filter time and the weighing speed are changing.…”

Section: Dynamic Weighing Signal Analysismentioning

confidence: 99%

An Intelligent Signal Processing Method for High Speed Weighing System

He¹,

Huang²,

Hou³

et al. 2012

International Journal of Food Engineering

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The dynamic weighing signal processing method in high speed fruits sorting system directly affects the weighing accuracy. This paper describes a basic modeling method for time series, including modeling, order determining, applicability analysis, and prediction. Considering the structural characteristics of weighing system and the limit of PLC sampling speed, a modified autoregressive (AR) model for stable value prediction of the high speed weighing signals is presented. Meanwhile, a simulation base on Matlab platform and an implementation example are used to test the method performance. At last, the impacts of environmental changes, sorting speeds, fruits shapes and sizes on the method performance are discussed. In experimental conditions, this method can be applied to fruits sorting system with sorting speed up to 18 per second for standard fruit (smooth round surface without defects) and an acceptable weighing accuracy can be obtained.

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Application of ARMA modeling to the improvement of weight estimations in fruit sorting and grading machinery

Cited by 15 publications

References 0 publications

Non-destructive technologies for fruit and vegetable size determination – A review

Non-destructive technologies for fruit and vegetable size determination – A review

High speed intelligent classifier of tomatoes by colour, size and weight

An Intelligent Signal Processing Method for High Speed Weighing System

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