ESPA
 

A few words about Evtar

Personalized best harvest with Autonomous Robot"

ART directly aims to strengthen the competitiveness of Greek viticulture products in two ways:

the quantitative increase

the consistently high quality of the grapes produced

Proposal Summary

The current practices of grape harvest include extensive human involvement such as monitoring as well as specialized manual works. However, the human involvement in grape harvest seems to have reached its limits. For instance, the workers often are not willing to work during the night when harvest conditions are optimal, young people often abandon farming and especially viticulture because of inherent work difficulties, the increasing age of human grape harvesters prolongs harvest duration, therefore it reduces the quality of the harvested grapes and ultimately it reduces the quality of the produced wines. For the aforementioned reasons there is a need to reliably mechanize grape harvest.



News

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 […]
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