Evaluation of the Operating Parameters of Self-Propelled Forage Harvesters During Maize Silage Harvest
2023, Krzyżaniak, Krzysztof, Kowalik, Ireneusz, Rybacki, Piotr
Abstract This study aims to determine and evaluate the operating parameters of three modern self-propelled forage harvesters during maize silage harvest. The machines were equipped with operator assistance systems. Field tests were conducted for three self-propelled forage harvesters: Claas Jaguar 870, Claas Jaguar 950, KroneBiG X 650. The tests were conducted in large-scale farms located in Wielkopolskie and Pomorskie voivodeships. Maize was harvested at the beginning of the full-grain maturity stage. A complete time study covering four control shifts in accordance with BN-76/9195-01 was performed to determine operating ratios and indicators. Fuel consumption was determined using the full tank method. The Claas Jaguar 950 forage harvester had the highest effective mass performance: 141.3 Mg·h-1. The same machine also achieved the lowest fuel consumption per tonne of fresh matter (FM) harvested: 0.51 kg·Mg-1. Labour expenditure for the self-propelled forage harvesters tested during the total time of change ranged from 0.38 to 0.62 labour hour per hectare. The tested machines also had very high technical and technological reliability.
Evaluation of the Quality and Possible Use of a New Generation of Agricultural Nets for Packing Bulk Materials in Terms of the Aspect of Reducing the Environmental Burden
2023, Kowalik, Ireneusz, Zawieja, Bogna, Rybacki, Piotr, Krzyżaniak, Krzysztof
In modern agriculture, packaging materials are becoming an important means of production in the technologies for harvesting bulk materials. The agricultural net currently used for this purpose is usually made of HDPE—high-density polyethylene. The aim of the study was to evaluate the agricultural net produced in light technology under the commercial name of Covernet. Based on the tests conducted for nine variants of different models of round balers and different bulk materials collected by them, it can be concluded that, in each case, the net (Tama LT) wrapped the cylindrical bales well or very well. The mean elongation of COVERNET during bale wrapping was over 8% for the tested machines and harvested materials. The tests confirmed the usefulness of the new generation of agricultural nets (Tama LT) for wrapping various agricultural bulk materials of various humidities. There is an urgent need to develop and implement in practice a technology for recovering used agricultural nets and converting them into granules that can be used again in their production.
Strip spraying technology for precise herbicide application in carrot fields
2022, Rybacki, Piotr, Przygodziński, Przemysław, Blecharczyk, Andrzej, Kowalik, Ireneusz, Osuch, Andrzej, Osuch, Ewa
Abstract The aim of this empirical field research was to show potential differences due to the precise application of herbicides in the quality and size of the carrot root yield and the amount of working liquid used compared to those for control samples. Empirical verification of the effectiveness of the developed technology, confirmed by statistical analyses of the obtained results, allows for a comparative assessment of this method with the conventional method of herbicide application used in this study. Due to the methodology used, it can be assumed that for carrots, the years were a random factor, and the experiments carried out were a series. It can be assumed that in the analysis of a series of experiments, for each of the examined features there are no differences between the groups and there is no interaction of the groups with the years. The yields of the groups weeded manually, sprayed in a conventional way, and weeded with precise spraying did not differ in a statistically significant way. In the precise application, a 20–30% lower herbicide consumption was observed, which has an impact on the protection of the environment and improves the economic effect of carrot production.
Development and application of a model for the automatic evaluation and classification of onions (Allium cepa L.) using a Deep Neural Network (DNN)
2024, Rybacki, Piotr, Przygodziński, Przemysław, Kowalczewski, Przemysław Łukasz, Sawinska, Zuzanna, Kowalik, Ireneusz, Osuch, Andrzej, Osuch, Ewa
Sposoby zakiszania kukurydzy. W silosach, na pryzmach czy w rękawach foliowych?
2025, Kowalik, Ireneusz
Sposób i urządzenie przygotowujące do zbioru resztki pożniwne po zbiorze kukurydzy na ziarno
2020, JACEK PRZYBYŁ, DAWID WOJCIESZAK, IRENEUSZ KOWALIK