The application of near-infrared spectroscopy in forestry

WANG Jue, LI Yanjie, CHEN Yicun, GAO Ming, ZHAO Yunxiao, WU Liwen, HUANG Shiqing, ZHANG Yongzhi, ZHU Kangshuo, WANG Yangdong

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (3) : 237-246.

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南京林业大学学报（自然科学版）
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JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (3) : 237-246. DOI: 10.12302/j.issn.1000-2006.202203001

The application of near-infrared spectroscopy in forestry

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Abstract

To obtain reliable forestry data, a large number of samples need to be tested at each stage; however, larger sample sizes can result in increased time, costs, and manpower. Therefore, a fast and efficient detection method to reduce costs and increase forestry study efficiency is needed. Near-infrared spectroscopy (NIR) is a fast, accurate, non-destructive, high-throughput and low-cost analytical technique, which is gradually gaining popularity for use in forestry studies and its potential for the development. The application of NIR spectroscopy for wood property detection can detect wood mechanical characteristics and chemical composition contents with high accuracy. For analyses of economic forestry product quality, NIR spectroscopy is primarily used to reflect indirect and direct traits such as texture, hardness, chemical composition, and content of forestry products; thus, NIR spectroscopy shows good prospects for use in studies of economic forestry product quality and even forest/tree genetic breeding. In addition, NIR spectroscopy can be used in forest tree classification to identify different tree species and species origins, including age information, with better results obtained in multi-species models. Moreover, NIR spectroscopy is useful in the study of forest pests and diseases, as it can effectively distinguish between the normal and diseased plant bodies of multiple species, can be used in bio-quarantine and to predict forest foliage decomposition rates of forest foliage and soil composition. Based on the multiple cross-disciplinary applications of this method, this paper analyzed the factors that influence NIR spectroscopy in practical applications. Intrinsic factors such as sample state and sample set characteristics, and external factors such as pre-processing, wavelength selection, modeling methods, and hardware conditions all have an impact on the stability and accuracy of the final model. It is clear that the introduction of NIR spectroscopy into forestry research has greatly improved the efficiency of forestry sample detection, achieved green and non-destructive high-throughput detection, and has excellent adaptability to rapid measurement of forest land sites and forest genetic breeding; thus, NIR spectroscopy plays a significant role in promoting forestry development.

Key words

near-infrared spectroscopy / forestry / economic forest / rapid prediction / non-destructive testing

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WANG Jue , LI Yanjie , CHEN Yicun , et al . The application of near-infrared spectroscopy in forestry[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2023, 47(3): 237-246 https://doi.org/10.12302/j.issn.1000-2006.202203001

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