基于改进的 YOLOX 模型的麦穗数检测方法

IF 1.4 4区地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

Remote Sensing Letters Pub Date : 2024-03-26 DOI:10.1080/2150704x.2024.2318755

Xiaolu Yan, Qin Ma, Quanlong Feng

引用次数: 0

摘要

穗数是估算小麦产量的关键参数，在作物表型参数计算、产量预测和小麦穗密度管理方面具有重要意义。为了准确地估算小麦...

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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A method for detecting the number of wheat ears based on the improved YOLOX model

Ear count serves as a crucial parameter for estimating wheat yield, holding great significance in crop phenotypic parameter calculations, yield predictions and wheat ear density management. To accu...

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来源期刊

Remote Sensing Letters REMOTE SENSING-IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

CiteScore

4.10

自引率

4.30%

发文量

审稿时长

6-12 weeks

期刊介绍： Remote Sensing Letters is a peer-reviewed international journal committed to the rapid publication of articles advancing the science and technology of remote sensing as well as its applications. The journal originates from a successful section, of the same name, contained in the International Journal of Remote Sensing from 1983 –2009. Articles may address any aspect of remote sensing of relevance to the journal’s readership, including – but not limited to – developments in sensor technology, advances in image processing and Earth-orientated applications, whether terrestrial, oceanic or atmospheric. Articles should make a positive impact on the subject by either contributing new and original information or through provision of theoretical, methodological or commentary material that acts to strengthen the subject.