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High-throughput prediction of stalk cellulose and hemicellulose content in maize using machine learning and Fourier transform infrared spectroscopy

Fanghui Chen, Xingyue Liu, Chengchen Lu, Mingxiu Ruan, Yujing Wen, Shaodong Wang, Youhong Song, Lin Li, Liang Zhou, Haiyang Jiang, Leiming Wu

2024Bioresource Technology16 citationsDOI

Topics & Concepts

HemicelluloseStalkCelluloseFourier transform infrared spectroscopyInfrared spectroscopyThroughputInfraredPapermakingSpectroscopyLigninFourier transformContent (measure theory)Materials scienceChemistryPulp and paper industryArtificial intelligenceComputer scienceChemical engineeringComposite materialEngineeringMathematicsOpticsPhysicsBiologyHorticultureOrganic chemistryQuantum mechanicsWirelessTelecommunicationsMathematical analysisSpectroscopy and Chemometric AnalysesSmart Agriculture and AIFood composition and properties
High-throughput prediction of stalk cellulose and hemicellulose content in maize using machine learning and Fourier transform infrared spectroscopy | Litcius