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Agricultural machinery performance under variable field conditions results from interactions among soil properties, equipment configuration and operating decisions. This review synthesizes experimental and modelling evidence on trafficability, traction, tillage, seeding and harvesting. The studies indicate that higher tractive force does not necessarily imply better energy efficiency because slip, rolling resistance and soil deformation may increase losses. Lower tyre inflation pressure and implement adjustment produce condition-dependent responses, whereas greater travel speed may raise theoretical capacity at the expense of operation quality. During harvesting, crop losses, material throughput, field geometry and unloading logistics require joint assessment. Heterogeneous indicators and protocols restrict comparisons and model transfer among machines and regions. Improving machinery performance therefore requires simultaneous evaluation of effective field capacity, specific energy use, task quality, soil preservation and the availability of suitable operating windows.
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Cássio Humberto Lima (2026) studied this question.
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