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Assessing the economic performance of multipurpose collaborative robots toward skillful and sustainable viticultural practices – Sustainability, vol. 15, no. 4, 3866, 2023

E. Tziolas, E. Karapatzak, I. Kalathas, A. Karampatea, A. Grigoropoulos, A. Bajoub, T. Pachidis, V. G. Kaburlasos, “Assessing the economic performance of multipurpose collaborative robots toward skillful and sustainable viticultural practices”, Sustainability, vol. 15, no. 4, 3866, 2023. https://www.mdpi.com/2071-1050/15/4/3866 

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Comparative assessment of environmental/energy performance under conventional labor and collaborative robot scenarios in Greek viticulture – Sustainability, vol. 15, no. 3, 2753, 2023

E. Tziolas, E. Karapatzak, I. Kalathas, C. Lytridis, S. Mamalis, S. Koundouras, T. Pachidis, V. G. Kaburlasos, “Comparative assessment of environmental/energy performance under conventional labor and collaborative robot scenarios in Greek viticulture”, Sustainability, vol. 15, no. 3, 2753, 2023. https://doi.org/10.3390/su15032753 

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Coordinated navigation of two agricultural robots in a vineyard: A simulation study – Sensors, vol. 22, no. 23, 9095, 2022

Abstract The development of an effective agricultural robot presents various challenges in actuation, localization, navigation, sensing, etc., depending on the prescribed task. Moreover, when multiple robots are engaged in an agricultural task, this requires appropriate coordination strategies to be developed to ensure safe, effective, and efficient operation. This paper presents a simulation study that demonstrates a robust coordination strategy for the navigation of two heterogeneous robots, where one robot is the expert and the second robot is the helper in…

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Considerations for a multi-purpose agrobot design toward automating skillful viticultural tasks: a study in northern Greece vineyards – HAICTA 2022, Athens, Greece

Abstract Seasonal labor shortages in agriculture are experienced throughout Europe and beyond especially, but not only, during the harvest time when the demand for hands is high as well as urgent. Agrobots have been established as a sustainable solution to support these growing demands due to their capacity to work incessantly, fast as well as with skillful precision.  In the aforementioned context, this work investigates the design of a single multi-purpose robotic system towards automation of a number of skillful…

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Variable selection for the prediction of TSS, pH and TA of intact berries of Thompson seedless grapes from their NIS reflection – SoftCOM 2022, Split, Croatia

Abstract Wavenumbers of high absolute value of correlation coefficient to Total Soluble Solids (TSS), pH, or Titratable Acidity (TA) were selected from reflection Fourier transform near infrared (FT-NIR) spectra of intact grape berries of the white variety Thompson Seedless. Multiple linear regression (MLR) and partial least squares (PLS) regression were applied to the spectra to construct trained regression models able to predict TSS, pH, and TA. Square Pearson’s correlation coefficient (R2) and the Mean Square Error (MSE) were used to…
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