A computer vision model development for size and weight estimation of yellow melon in the Brazilian northeast

Calixto, Renê Ripardo; Neto, Luís G. Pinheiro; Cavalcante, Tarique da Silveira; Aragão, Márcio Facundo; Silva, Ebenézer de Oliveira

doi:10.1016/j.scienta.2019.05.048

Cited by 18 publications

(6 citation statements)

References 20 publications

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“…This result is attributed to the higher radicular absorption of biostimulant by fertigation, that occurs via bulk flow, while in spraying it occurs by diffusion. Besides that, fruits from both treatments are adequate for the market, which allows for fruit weight variating from 0.9 to 2.7 kg (Calixto et al 2019). Despite that fertigation showed the highest yield, in both application methods, the yield was superior to 22 t ha -1 , appointed by Figueiredo et al (2017) as the average yield of yellow melons.…”

Section: Resultsmentioning

confidence: 87%

Application methods of biostimulants affect the production and postharvest conservation of yellow melon

et al. 2021

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Worldwide, Brazil holds the fifth position in melon fruits exportation, further expanding its products to provide for the growing demand. This expansion is the result of the development and application of new technologies, including the management of the use of biostimulants. However, for melon crops, the information in the literature on the use of biostimulants remains limited to the effects of different doses on fruit quality at the time of harvest. Therefore, this study aimed to evaluate the influence of different methods of pre-harvest application of two biostimulants on the production and postharvest conservation of fruits of yellow melon cv. Iracema. The treatments consisted of a combination of three factors: two plant biostimulants (Crop Set® and Spray Dunger®), two application methods of the products (fertigation and spraying), and five times of postharvest storage (0, 14, 21, 28 and 35 days). An additional control treatment corresponded to plants without biostimulant application. The fruits were evaluated for production and physicochemical attributes: average mass, yield, flesh firmness, titratable acidity, soluble solids content, SSC/TA ratio, pH, total soluble sugars, and weight loss. Fertigation is the recommended application method of biostimulants for yellow melon due to its effect on the increase of average mass, yield, flesh firmness, soluble solids content, and total soluble sugars of the fruits in relation to the spraying method.

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Section: Resultsmentioning

confidence: 87%

Application methods of biostimulants affect the production and postharvest conservation of yellow melon

et al. 2021

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“…Thresholding methods, including Otsu segmentation, fails if the object of interest (fruit) and background objects have similar characteristics, e.g., color and texture (Figure 4), with a false segmentation mask resulting in a false sizing result. Other color-and intensity-based thresholding methods, e.g., [64], can also fail to properly segment fruit pixels from the background. An alternative approach involves use of a CNN based semantic segmentation network, such as U-Net [80].…”

Section: Image Segmentationmentioning

confidence: 99%

Fruit Sizing in Orchard: A Review from Caliper to Machine Vision with Deep Learning

Neupane

Pereira

Koirala

et al. 2023

Sensors

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Forward estimates of harvest load require information on fruit size as well as number. The task of sizing fruit and vegetables has been automated in the packhouse, progressing from mechanical methods to machine vision over the last three decades. This shift is now occurring for size assessment of fruit on trees, i.e., in the orchard. This review focuses on: (i) allometric relationships between fruit weight and lineal dimensions; (ii) measurement of fruit lineal dimensions with traditional tools; (iii) measurement of fruit lineal dimensions with machine vision, with attention to the issues of depth measurement and recognition of occluded fruit; (iv) sampling strategies; and (v) forward prediction of fruit size (at harvest). Commercially available capability for in-orchard fruit sizing is summarized, and further developments of in-orchard fruit sizing by machine vision are anticipated.

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“…Melon consumption is very high worldwide, mainly in European countries (CUNHA et al, 2020). Its production in Brazil is important for the economy when it comes to Brazilian exports, because besides generating income, it offers thousands of jobs in the country (CALIXTO et al, 2019), according to (ABRASFRUTAS, 2020) the crop generates from one and a half to two jobs per hectare. Melon is the second most exported fruit in Brazil, behind only mango Contribuciones a Las Ciencias Sociales, São José dos Pinhais, v.16, n.12, p. 32521-32536, 2023 (COMEX STAT, 2020).…”

Section: Socioeconomic Importancementioning

confidence: 99%

Melon management using agrotextile and plasticulture and its prospects for Roraima

Carmo,

De Medeiros,

De Albuquerque

et al. 2023

CLCS

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The melon (Cucumis melo L.) is a crop of great economic importance for the world, and in Brazil it is mainly intended for the export of its fresh fruits to the European market. In the North region, especially in Roraima, the cultivation of melon is one of the alternatives for exploring the cerrado areas, as its favorable edaphoclimatic conditions enable cultivation during the off-season in Brazil. The yellow melon is grown by most producers in Roraima, however, the technology adopted by the producers implies low yields and quality of the fruits required by the foreign market. The Northeast region of the country adopts techniques for the use of mulching (soil cover using polyethylene film), where beneficial factors are associated with curcubitaceae, protecting the soil against evaporation, saving water, energy, fertilizers and hindering pest infestation. (weeds and insects), and diseases. In addition, they use agrotextile to cover plants, which reduces the attack of pests and diseases in the melon crop. Thus, proper management provides good perspectives for the cultivation of melons with excellent quality, reducing the use of pesticides and being profitable for the producer. Therefore, in view of this context, this study sought to review inherent information on the efficiency of the use of mulching management associated with TNT in the melon crop.

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A computer vision model development for size and weight estimation of yellow melon in the Brazilian northeast

Cited by 18 publications

References 20 publications

Application methods of biostimulants affect the production and postharvest conservation of yellow melon

Application methods of biostimulants affect the production and postharvest conservation of yellow melon

Fruit Sizing in Orchard: A Review from Caliper to Machine Vision with Deep Learning

Melon management using agrotextile and plasticulture and its prospects for Roraima

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