A new method for satellite-based derivation of site-specific yield potentials of winter wheat for precision farming applications

L. Hagn; M. Mittermayer; J. Schuster; F. Leßke; K.-J. Hülsbergen

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A new method for satellite-based derivation of site-specific yield potentials of winter wheat for precision farming applications

In: Precision agriculture '25

Authors:

L. Hagn

L. Hagn
Ludwig.hagn@tum.de

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M. Mittermayer

M. Mittermayer

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J. Schuster

J. Schuster

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F. Leßke

F. Leßke

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K.-J. Hülsbergen

K.-J. Hülsbergen

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Type:: Chapter

Pages:: 709–715

DOI:: https://doi.org/10.1163/9789004725232_093

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Dar Hadith al Hassania

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Accurate site-specific yield potential determination is essential for sustainable agricultural practices, enabling efficient resource use and reducing environmental impacts. This study presents a satellite-based method to predict winter wheat yield using a six-year dataset from conventional and organic farming systems. Two models were evaluated: a non-linear support vector machine (SVM) model and a multilinear model with stepwise backward regression. The SVM model demonstrated higher predictive accuracy, with an R² of 0.80, a MAE of 0.58 t/ha, and an RMSE of 0.79 t/ha, compared to the multilinear model (R²=0.75, MAE=0.69 t/ha). Expanding the dataset to include diverse soils, climates, and growth stages could further enhance model robustness and applicability.

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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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A new method for satellite-based derivation of site-specific yield potentials of winter wheat for precision farming applications

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Precision agriculture '25

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