光谱成像在小农场应用的潜力:综述

Q3 Chemistry
M. Eady
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引用次数: 1

摘要

光学和小型化的进步使多光谱和高光谱成像系统在成本、实用性和可使用性方面变得更加接近。在全球范围内,大多数农场被认为是小型农场(<2公顷)。多年来,许多光谱成像应用都与农产品有关。然而,由于成本、技术障碍和复杂的统计建模方法,这些应用主要在较大的单一栽培环境中实施,在这些环境中,可以通过获得更高的利润和减少长期劳动力来满足和证实所需的方法开发时间。近年来,光谱成像技术以及开源系统取得了进步,这些技术有可能应用于规模更小、更多样化的农场。在光谱成像技术在小型农场广泛应用之前,还有许多障碍需要面对,但技术正在迅速发展。在这里,评估了小农场应用中光谱成像的现状,以及低成本和开源光谱成像系统的潜力。重点是在小型农场可接近的光谱成像之前需要解决的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Potential for spectral imaging applications on the small farm: a review
Advancements in optics and miniaturisation have resulted in multi- and hyperspectral imaging systems becoming more approachable in terms of cost, practicality and useability. Globally, the majority of farms are considered to be small farms (<2 hectares). Many spectral imaging applications have been associated with agricultural commodities over the years. However, due to the cost, technology hurdles and complex statistical modelling methods, these applications have mainly been implemented in larger monoculture settings where the method development time required can be met with and substantiated through higher profits gained and reduced labour in the long term. Recent years have seen advancements in spectral imaging technologies as well as open-source systems that have the potential for application on smaller, more diversified farms. There are many hurdles to face before spectral imaging technologies see widespread application on smaller farms, but technologies are advancing rapidly. Here, the current state of spectral imaging in small farm applications is evaluated, along with the potential for low-cost and open-source spectral imaging systems. Emphasis is placed on challenges which require addressing prior to approachable spectral imaging for the small farm.
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来源期刊
Journal of Spectral Imaging
Journal of Spectral Imaging Chemistry-Analytical Chemistry
CiteScore
3.90
自引率
0.00%
发文量
11
审稿时长
22 weeks
期刊介绍: JSI—Journal of Spectral Imaging is the first journal to bring together current research from the diverse research areas of spectral, hyperspectral and chemical imaging as well as related areas such as remote sensing, chemometrics, data mining and data handling for spectral image data. We believe all those working in Spectral Imaging can benefit from the knowledge of others even in widely different fields. We welcome original research papers, letters, review articles, tutorial papers, short communications and technical notes.
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