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1. Pleurotus-pulmonarius-characterization Pleurotus-pulmonarius-characterization Public

   R scripts and data for substrate characterization and biological efficiency modeling in Pleurotus pulmonarius

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2. Machine-Learning-Integration-of-FTIR-for-Predicting-BE-in-Pleurotus-pulmonarius-Cultivation Machine-Learning-Integration-of-FTIR-for-Predicting-BE-in-Pleurotus-pulmonarius-Cultivation Public

   Code and workflow for machine-learning models (Random Forest and Decision Trees) integrating FTIR descriptors to predict Biological Efficiency (BE%) in Pleurotus pulmonarius cultivation.

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3. Machine-Learning-Integration-of-TGA-for-Predicting-BE-in-Pleurotus-pulmonarius-Cultivation- Machine-Learning-Integration-of-TGA-for-Predicting-BE-in-Pleurotus-pulmonarius-Cultivation- Public

   This repository contains the full machine-learning pipeline used to predict Biological Efficiency (BE) of Pleurotus pulmonarius based on thermogravimetric analysis (TGA) descriptors.

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4. SEM-Texture-Analysis-of-Lignocellulosic-Substrates-Using-Transect-Based-ROI-Sampling SEM-Texture-Analysis-of-Lignocellulosic-Substrates-Using-Transect-Based-ROI-Sampling Public

   This repository provides an R pipeline for quantitative texture analysis of scanning electron microscopy (SEM) images of lignocellulosic substrates. The workflow extracts multiple regions of intere…

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