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5 September 2022

VARIABLE SELECTION ON REFLECTANCE NIR SPECTRA FOR THE PREDICTION OF TSS IN INTACT BERRIES OF THOMPSON SEEDLESS GRAPES – AGRONOMY 2022, VOL. 12, NO. 9, 2113

Abstract Fourier-transform near infrared (FT-NIR) reflection spectra of intact berries of the grape variety Thompson seedless were used to predict total soluble solids (TSS) content. From […]
29 June 2022

A NON-DESTRUCTIVE METHOD FOR GRAPE RIPENESS ESTIMATION USING INTERVALS’ NUMBERS (INS) TECHNIQUES – AGRONOMY, VOL. 12, NO. 7, 1564, 2022

Abstract Grape harvesting based on estimated in-field maturity indices can reduce the costs of pre-harvest exhaustive sampling and chemical analysis, as well as the costs of […]
12 November 2021

A REVIEW OF THE STATE-OF-ART, LIMITATIONS AND PERSPECTIVES OF MACHINE VISION FOR GRAPE RIPENING ESTIMATION – EFITA INTERNATIONAL CONFERENCE 2021

Abstract Grape harvesting based on estimated in-field maturity indices can reduce the costs of pre-harvest exhaustive sampling and chemical analysis, as well as the costs of […]
15 September 2021

MACHINE VISION FOR RIPENESS ESTIMATION IN VITICULTURE AUTOMATION – HORTICULTURAE, VOL. 7, ISS. 9, 282, 2021

Abstract Ripeness estimation of fruits and vegetables is a key factor for the optimization of field management and the harvesting of the desired product quality. Typical […]
2 June 2021

GRAPE STEM DETECTION USING REGRESSION CONVOLUTIONAL NEURAL NETWORKS – COMPUTERS AND ELECTRONICS IN AGRICULTURE, VOL. 186, P. 106220, 2021

Abstract Automation of grapevine agricultural tasks, e.g., harvesting, requires reliable methods for detecting the exact cutting points of the grape bunches. Dynamically changing vineyard environments, differences […]
6 May 2021

AN AUTONOMOUS GRAPE-HARVESTER ROBOT: INTEGRATED SYSTEM ARCHITECTURE – ELECTRONICS, VOL. 10, NO. 9, P. 1056

Abstract This work pursues the potential of extending “Industry 4.0” practices to farming toward achieving “Agriculture 4.0”. Our interest is in fruit harvesting, motivated by the […]
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