Use of machine learning tools to estimate drying rate of apple and apricot wood discs

This study compares three machine learning (ML) models -artificial neural networks (ANN), recurrent neural networks (RNN), and extreme gradient boosting (XGBoost)- for predicting the drying kinetics of wood biomass from the clearing of outdated apple and apricot orchards. The primary goal was to op...

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Bibliographic Details

Published in:	Journal of Agricultural Engineering
Main Authors:	Martina Balac, Andrija Rajković, Mihailo Milanović, Zoran Mileusnić, Rajko Miodragović, Aleksandra Dragičević, Olivera Ećim-Đurić
Format:	Article
Language:	English
Published:	PAGEPress Publications 2025-09-01
Subjects:	artificial neural network recurrent neural networks XGBoost wood drying
Online Access:	https://www.agroengineering.org/jae/article/view/1712