利用高光谱成像技术预测油菜叶片叶绿素含量

IF 1.2 4区农林科学 Q2 AGRICULTURE, MULTIDISCIPLINARY

Journal of Agricultural Science and Technology Pub Date : 2020-05-15 DOI:10.13304/J.NYKJDB.2019.0667

Yang Jing, Liao Gui-ping, Liu Fan, G. Chunyun

引用次数: 1

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Prediction of Chlorophyll Content of Rape Leaves with Hyperspectral Imaging Technology

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来源期刊

Journal of Agricultural Science and Technology AGRICULTURE, MULTIDISCIPLINARY-

CiteScore

1.90

自引率

8.30%

发文量

审稿时长

4.5 months

期刊介绍： Journal of Agricultural Science and Technology is one of the TMU Press journals that is published by the responsibility of its Editor-in-Chief and Editorial Board in the determined scopes. Journal of Agricultural Science and Technology (JAST) is an international research journal published bimonthly for the purpose of advancing the scientific studies. The subjects covered by JAST include all aspects of agriculture and natural resources (see Areas Covered). The journal will consider submissions from all over the world, on research works not being published or submitted for publication towards publication as full paper, review article and research note. The Papers are published in English with an extra abstract in Persian.