In this thesis, we have thoroughly described and analyzed the process of mechanical grape harvesting and the use of a harvester on our farm, where we manage 30 hectares of vineyards. The introduction of mechanical grape harvesting is necessary for economic reasons, as we often face challenges in finding seasonal pickers and the high costs asso-ciated with their labor. Mechanical harvesting, especially with a harvester, enables fast and uniform grape picking, with the harvester capable of completing in two to three hours the amount of work that a team of 30 to 40 people would accomplish in an entire day. This approach not only reduces financial and time efforts but also increases the effi-ciency and quality of the harvest. In our research, we conducted experiments on three different grape varieties: 'Malvasia,' 'Refosco,' and 'Cabernet Sauvignon.' We harvested grapes in 10-meter rows, measuring harvesting losses and adjusting the machine settings for optimal harvesting of each variety individually. The purpose of the experiment was to gain insights into the efficiency of mechanical harvesting for different varieties, which will help optimize machine settings and improve the quality of the crop. The analysis of the results included assessing berry damage, harvesting losses, surface productivity, and machine efficiency, which will provide a better understanding and optimization of me-chanical harvesting in practice. Measurements showed that, on average, the harvested yield contains 46.13 % undamaged berries, 36.17% damaged berries, 2.77 % other har-vest contents (leaves, stems, etc.), and 15.93 % must. The unharvested yield, on average, contains 93.52 % berries and 6.33 % waste material (leaves, stems, etc.). The measure-ments showed that the harvested yield contained an average of 46.13 % undamaged ber-ries, 36.1 7 % damaged berries, 2.77 % other harvest components (leaves, stems, etc.) and 15.93 % must. The unharvested yield contains an average of 93.52 % berries and 6.33 % waste material (leaves, stems, etc.).
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