Method for the automatic recognition of cropland headland images based on deep learning

IF 2.2 2区农林科学 Q2 AGRICULTURAL ENGINEERING

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI:10.25165/j.ijabe.20231602.6195

Yujie Qiao, Hui Liu, Zhijun Meng, Jingping Chen, Luyao Ma

引用次数: 1

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基于深度学习的农田岬角图像自动识别方法

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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来源期刊

International Journal of Agricultural and Biological Engineering AGRICULTURAL ENGINEERING-

CiteScore

4.30

自引率

12.50%

发文量

审稿时长

24 weeks

期刊介绍： International Journal of Agricultural and Biological Engineering (IJABE, https://www.ijabe.org) is a peer reviewed open access international journal. IJABE, started in 2008, is a joint publication co-sponsored by US-based Association of Agricultural, Biological and Food Engineers (AOCABFE) and China-based Chinese Society of Agricultural Engineering (CSAE). The ISSN 1934-6344 and eISSN 1934-6352 numbers for both print and online IJABE have been registered in US. Now, Int. J. Agric. & Biol. Eng (IJABE) is published in both online and print version by Chinese Academy of Agricultural Engineering.