Titlebook: 15th International Congress on Agricultural Mechanization and Energy in Agriculture; ANKAgEng’2023 Eugenio Cavallo,Fernando Auat Cheein,Pur

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https://doi.org/10.1007/978-3-663-04327-0l-studied for many agricultural commodities, they need to be better defined for pelletized biomass, which present unique challenges due to their particle sizes and nontypical aspect ratios. This study evaluated the coefficient of dynamic wall friction for hardwood fuel pellets against two common han

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,über den Philosophie-Begriff Platons,s during storage, and deterioration occurs. To prevent losses, it is necessary to ensure the preservation of the products with the drying process immediately after the harvest. The aim of present study is to determine and compare the effects of gradually increasing drying temperatures on CO2 emissio

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,über den Philosophie-Begriff Platons,ilage on biogas production. The maize silage used does not contain cobs and maize kernels. It was studied under mesophilic conditions in a batch fermentation system with a hydraulic retention time (HRT) of 40?days. In the experiments, anaerobic fermenters with a total volume of 3 L each, with a heat

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https://doi.org/10.1007/978-3-663-04330-0 city. A Rational Exergy Management Model-based design concept has been developed to maximize land use effectiveness and minimize carbon dioxide emissions responsibility. The system involves a circular hydrogen approach and comprises the following primary features. 1- Deep wells, 2-Above-the-ground

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https://doi.org/10.1007/978-3-663-04380-5ng harvesting, transportation, and storage. Beyond immediate physical degradation, the repercussions of such damage extend to seed viability and consequent economic implications. Traditional assessment techniques, predominantly reliant on external visual inspections, face challenges of subjectivity

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https://doi.org/10.1007/978-3-663-04380-5t disease identification. This study presents a novel deep-learning model for seed classification. In this study, a dataset of 15 seeds has been created, containing around 3018 RGB images, with the objective of developing an accurate and efficient deep learning-based model capable of classifying see

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https://doi.org/10.1007/978-3-663-04458-1d Syria, contribute close to 90% of the total production worldwide. In Turkey, there are eight primary domestic pistachio varieties, alongside five foreign varieties. Each produced kind has its unique market and pricing point for consumers to purchase. However, the existing method used to separate p

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