Integrating geophysics and machine learning for soil compaction estimation in agriculture

Abstract Soil compaction is a significant factor affecting crop yield; however, traditional assessment methods are labor-intensive and costly. To address this issue, rapid and cost-effective estimation techniques are needed. Geophysical methods are commonly used to predict various soil parameters, y...

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Principais autores:	Jasper Tembeck Mbah, Katarzyna Pentoś, Krzysztof Pieczarka, Tomasz Wojciechowski
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Springer 2026-04-01
סדרה:	Journal of the Saudi Society of Agricultural Sciences
נושאים:	Electrical conductivity Soil compaction Neural network Support vector machine Extreme gradient boosting
גישה מקוונת:	https://doi.org/10.1007/s44447-025-00117-5
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!