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HIGH THROUGHPUT SYSTEM FOR PLANT HEIGHT AND HYPERSPECTRAL MEASUREMENT

H. Zhao · L. Xu · H. Jiang · S. Shi · D. Chen

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences · 30 Apr 2018 · 10.5194/isprs-archives-xlii-3-2365-2018

Abstract

Abstract. Hyperspectral and three-dimensional measurement can obtain the intrinsic physicochemical properties and external geometrical characteristics of objects, respectively. Currently, a variety of sensors are integrated into a system to collect spectral and morphological information in agriculture. However, previous experiments were usually performed with several commercial devices on a single platform. Inadequate registration and synchronization among instruments often resulted in mismatch between spectral and 3D information of the same target. And narrow field of view (FOV) extends the working hours in farms. Therefore, we propose a high throughput prototype that combines stereo vision and grating dispersion to simultaneously acquire hyperspectral and 3D information.

Code and data availability

The paper describes a hardware prototype for plant height and hyperspectral measurement, but no public phenotype datasets, plant images, analysis code, or trained models are mentioned. No data or code availability statement appears in any block; only the article PDF itself (via DOI) is available.

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