The role of hyperspectral imaging in forest seedling phenotyping

Abstract

In recent years, hyperspectral imaging has been widely adopted in agriculture and plant phenotyping, while its application in forestry has been increasing. From that point onward, hyperspectral imaging has become a valuable tool for plant phenotyping, enabling the assessment of a broad range of plant traits. Given that seedlings of forest trees are one of the most widely used types of forest planting stock, advancements in hyperspectral technology have created new possibilities for improving seedling quality assessment. High-quality forest seedlings are important for the successful establishment of forest stands, especially after outplanting within restoration initiatives. Even though hyperspectral imaging brings numerous advantages, continued technological improvements are necessary to address its several limitations and challenges. Despite its widespread use in agricultural phenotyping, applications in forest nursery production remain limited. Therefore, this review focuses on research involving hyperspectral imaging in forest seedling production and its potential for assessing seedling quality parameters.

Plant phenotyping relevance

森林苗木の品質形質評価に用いるハイパースペクトル画像解析を中心に扱うフェノタイピングレビューであり、方法論的役割が明確。

Code and data availability

This is a review article on hyperspectral imaging in forest seedling phenotyping. The supplied blocks describe general workflows, cited prior studies, and trait classifications, but contain no paper-specific public phenotype datasets, images, code, models, or supplements with availability statements.

No evidence-backed public reproduction asset is currently recorded.