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5 September 2022
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
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
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
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
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
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 […]
14 December 2020
Abstract In this work, deep learning is employed for accurate and fast detection of vine trunks in vineyard images. More specifically, six well-known object detectors, Faster […]
10 November 2020
In the context of the interreg project, the following meeting was held, with a speaker Dr. Eleni Vrochidou at the Department of Agriculture of the Aristotle […]
4 October 2020
Abstract Research and development in agricultural robots are continuously increasing. However, dynamically changing agricultural environments provide adverse conditions to robotics operability. In order to perform the […]