Correction: Gong et al. Machine Learning-Based Estimation of Tractor Performance in Tillage Operations Using Soil Physical Properties. Agronomy 2025, 15, 2228

February 2, 2026AgronomyOpen Access

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Key Points

The main aim is to enhance the estimation of tractor performance during tillage operations using soil physical properties through machine learning techniques.
Applied machine learning algorithms to analyze soil properties and their relationship with tractor performance.
Collected data on soil physical properties during tillage operations under various conditions.
Used statistical methods to validate the machine learning model.
Enhanced estimation accuracy of tractor performance based on soil properties.
Significant correlation observed between soil characteristics and tractor operational efficiency.

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Correction observes improved tractor performance estimation in tillage operations, indicating enhanced accuracy through machine learning.

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Gong et al. (2026) studied this question.

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