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An analysis of seed colour during ripening of cabernet sauvignon grapes
(2017)
This case study examines seed colour during ripening using an exhaustive colorimetric analysis. The aim
was to associate the chemical ripening with the seed colour in order to estimate the ripening stages of
Cabernet ...
A method to estimate grape phenolic maturity based on seed images
(2014)
The timing of the grape harvest has a strong impact on wine quality. A recent line of studies proposes visual seed inspection by a trained expert to determine Phenolic Maturity. In this paper a method is presented to ...
Grape maturity estimation based on seed images and neural networks
(2014)
The grape phenolic maturity is one of the most important parameters to determine the optimal time for harvest. In this paper we propose an innovative methodology for the problem of how this task is performed today. In ...
A method to construct fruit maturity color scales based on support machines for regression: Application to olives and grape seeds
(2015)
Color scales are a powerful tool used in agriculture for estimate maturity of fruits. Fruit maturity is an important parameter to determine the harvest time. Typically, to obtain the maturity grade, a human expert visually ...
A review of convolutional neural network applied to fruit image processing
(2020)
Agriculture has always been an important economic and social sector for humans. Fruit production is especially essential, with a great demand from all households. Therefore, the use of innovative technologies is of vital ...
A model based on clusters of similar color and NIR to estimate oil content of single olives
(2021)
Lipid extraction using the traditional, destructive Soxhlet method is not able to measure oil content (OC) on a single olive. As the color and near infrared spectrum are key parameters to build an oil estimation model (EM), ...
Raspberries-LITRP database: RGB images database for the industrial applications of red raspberries’ automatic quality estimation
(2022)
This work presents a free new database designed from a real industrial process to recognize,
identify, and classify the quality of the red raspberry accurately, automatically, and in real time.
Raspberry trays with ...