Enhancing potato yield estimation using vegetative indices, SAR imagery, and terrain data

I. Pastor; A. Aizpurua; A. Carrasco; J. Legorburu; J. Castro; A. Uribeetxebarria

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Enhancing potato yield estimation using vegetative indices, SAR imagery, and terrain data

In: Precision agriculture '25

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I. Pastor

I. Pastor

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A. Aizpurua

A. Aizpurua

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A. Carrasco

A. Carrasco

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J. Legorburu

J. Legorburu

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J. Castro

J. Castro

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A. Uribeetxebarria

A. Uribeetxebarria
auribeetxebarria@neiker.eus2

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Type:: Chapter

Pages:: 488–494

DOI:: https://doi.org/10.1163/9789004725232_063

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Dar Hadith al Hassania

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Having an accurate potato yield estimation is of the upmost importance to help improve the agronomic management of plots. The aim of this study was to analyse the relationship between synthetic aperture radar (SAR) images, vegetation indices (VI) derived from the Copernicus network, a high-resolution digital elevation model (DEM) and orthophotos produced with a camera mounted in a plane with the yield of a potato plot. Multiple regression technique, was used to estimate yield, resulting in an equation with an error of 17% and of R² of 0.59. It is possible to obtain fairly accurate estimates of potato yields with freely available satellite and other information.

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Precision agriculture '25

E-Book ISBN:: 9789004725232

Publisher:: Wageningen Academic

Print Publication Date:: 18 Jun 2025

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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Enhancing potato yield estimation using vegetative indices, SAR imagery, and terrain data

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Precision agriculture '25

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