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Investigating the Effects of Spectroscopic Method in Estimating Soluble Solid Content Values and Firmness of Cherries from an Environmental Point of View: Prediction of Environmental Parameters with Machine Learning Method Cover

Investigating the Effects of Spectroscopic Method in Estimating Soluble Solid Content Values and Firmness of Cherries from an Environmental Point of View: Prediction of Environmental Parameters with Machine Learning Method

Acta Technologica Agriculturae
Volume 28 (2025): Issue 1 (March 2025)
By: Naim Shirzad,  Gholamhossein Shahgholi,  Sina Ardabili and  Mariusz Szymanek  
Open Access
|Mar 2025
DOI: https://doi.org/10.2478/ata-2025-0003 | Journal eISSN: 1338-5267
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Language: English
Page range: 17 - 25
Published on: Mar 4, 2025
Published by: Slovak University of Agriculture in Nitra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
non-destructive evaluation,
soft computing,
computational intelligence,
ensemble learning,
fruit
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2025 Naim Shirzad, Gholamhossein Shahgholi, Sina Ardabili, Mariusz Szymanek, published by Slovak University of Agriculture in Nitra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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