E. Vrochidou

An Overview of End Effectors in Agricultural Robotic Harvesting Systems – Agriculture 2022, 12(8), 1240

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 an initial dataset, 12 subsets were considered by applying variable selection to extract the reflectance values at wavenumbers most correlated to the chemometrically measured TSS content. The datasets were processed by both multiple linear regression (MLR) and partial least squares (PLS) methods towards predicting the TSS content from the reflection values of each spectrum.…

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An Overview of End Effectors in Agricultural Robotic Harvesting Systems – Agriculture 2022, 12(8), 1240

Abstract In recent years, the agricultural sector has turned to robotic automation to deal with the growing demand for food. Harvesting fruits and vegetables is the most labor-intensive and time-consuming among the main agricultural tasks. However, seasonal labor shortage of experienced workers results in low efficiency of harvesting, food losses, and quality deterioration. Therefore, research efforts focus on the automation of manual harvesting operations. Robotic manipulation of delicate products in unstructured environments is challenging. The development of suitable end effectors…

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A non-destructive method for grape ripeness estimation using Intervals’ Numbers (INs) techniques – Agronomy, vol. 12, no. 7, 1564, 2022

C. Bazinas, E. Vrochidou, T. Kalampokas, A. Karampatea, V. G. Kaburlasos, “A non-destructive method for grape ripeness estimation using Intervals’ Numbers (INs) techniques”, Agronomy, vol. 12, no. 7, 1564, 2022. https://doi.org/10.3390/agronomy12071564

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Agricultural yield prediction by difference equations on data-induced cumulative possibility distributions – NAFIPS 2022 Conference, Halifax, Nova Scotia, Canada

V. G. Kaburlasos, C. Bazinas, E. Vrochidou, E. Karapatzak, “Agricultural yield prediction by difference equations on data-induced cumulative possibility distributions”, 2022 North American Fuzzy Information Processing Society (NAFIPS 2022) Conference, Halifax, Nova Scotia, Canada, 31 May – 3 June 2022.

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The Lattice Computing Paradigm for Modeling Intelligence in Cyber-Physical Systems – the Basque Conference on Cyber-Physical Systems and Artificial Intelligence, San Sebastian, Spain, 2022

V. Kaburlasos, C. Lytridis, C. Bazinas, F. Panagiotopoulos, E. Vrochidou, G. Papakostas, “Chapter 26. The Lattice Computing Paradigm for Modeling Intelligence in Cyber-Physical Systems”, Proceedings of the Basque Conference on Cyber-Physical Systems and Artificial Intelligence, San Sebastian, Spain, 18-19 May 2022, pp. 213-229. DOI 10.5281/zenodo.6562355.

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