In this research, an exploration is undertaken into the intricate interplay between soil compaction, machinery performance, and tillage practices, revealing their profound implications for agricultural sustainability and productivity. Three fundamental objectives guide this investigation. Firstly, the impact of varying levels of traction resistance during agricultural operations is scrutinized. In-depth analysis transcends static weight measurements, incorporating dynamic factors such as traction, rolling resistance, and subsoiler parameters. This comprehensive approach not only elucidates soil compaction dynamics but also identifies opportunities for energy consumption reduction, soil health enhancement, and the fostering of agricultural sustainability. Secondly, the significance of field variability is unveiled. The research exposes the non-uniformity of crop yield within a field, particularly in headlands and field edges. These findings, correlated with specific soil properties, underscore the pivotal role of strategic machine traffic planning in optimizing yields and mitigating losses. Lastly, the intricate realm of subsoiler tillage is investigated, emphasizing the substantial influence of subsoiler parameters on soil compaction mitigation and fuel efficiency. This holistic understanding of tillage dynamics equips farmers with insights to make informed decisions, thus improving operational efficiency and cost reduction. In conclusion, this doctoral research represents a significant advancement in comprehending soil compaction, machinery performance, and tillage practices. Its practical implications extend to both agricultural practitioners and professionals, offering pathways to enhance productivity, reduce environmental impact, and cultivate a sustainable future for agriculture. As we navigate the evolving landscape of modern agriculture, the harnessing of these insights is deemed imperative to maximize agricultural potential while minimizing the ecological footprint.
Parameters Optimisation of Agricultural Machinery for Soil Compaction Mitigation and Crop Yield Enhancement / Liu, Kaihua. - (2024 Feb 15).
Parameters Optimisation of Agricultural Machinery for Soil Compaction Mitigation and Crop Yield Enhancement
LIU, KAIHUA
2024
Abstract
In this research, an exploration is undertaken into the intricate interplay between soil compaction, machinery performance, and tillage practices, revealing their profound implications for agricultural sustainability and productivity. Three fundamental objectives guide this investigation. Firstly, the impact of varying levels of traction resistance during agricultural operations is scrutinized. In-depth analysis transcends static weight measurements, incorporating dynamic factors such as traction, rolling resistance, and subsoiler parameters. This comprehensive approach not only elucidates soil compaction dynamics but also identifies opportunities for energy consumption reduction, soil health enhancement, and the fostering of agricultural sustainability. Secondly, the significance of field variability is unveiled. The research exposes the non-uniformity of crop yield within a field, particularly in headlands and field edges. These findings, correlated with specific soil properties, underscore the pivotal role of strategic machine traffic planning in optimizing yields and mitigating losses. Lastly, the intricate realm of subsoiler tillage is investigated, emphasizing the substantial influence of subsoiler parameters on soil compaction mitigation and fuel efficiency. This holistic understanding of tillage dynamics equips farmers with insights to make informed decisions, thus improving operational efficiency and cost reduction. In conclusion, this doctoral research represents a significant advancement in comprehending soil compaction, machinery performance, and tillage practices. Its practical implications extend to both agricultural practitioners and professionals, offering pathways to enhance productivity, reduce environmental impact, and cultivate a sustainable future for agriculture. As we navigate the evolving landscape of modern agriculture, the harnessing of these insights is deemed imperative to maximize agricultural potential while minimizing the ecological footprint.File | Dimensione | Formato | |
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phd thesis-Kaihua Liu.pdf
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