油棕成熟度分级采用高效的神经网络-生活CNN架构

IF 1.3 4区农林科学 Q2 Agricultural and Biological Sciences

Journal of Oil Palm Research Pub Date : 2023-11-06 DOI:10.21894/jopr.2023.0059

YOSUA ALVIN ADI SOETRISNO

引用次数: 0

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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OIL PALM LEVEL OF RIPENESS CLASSIFICATION USING EFFICIENTDET-LITE CNN ARCHITECTURE

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来源期刊

Journal of Oil Palm Research 农林科学-食品科技

CiteScore

2.60

自引率

30.80%

发文量

审稿时长

>12 weeks

期刊介绍： JOURNAL OF OIL PALM RESEARCH, an international refereed journal, carries full-length original research papers and scientific review papers on various aspects of oil palm and palm oil and other palms. It also publishes short communications, letters to editor and reviews of relevant books. JOURNAL OF OIL PALM RESEARCH is published four times per year, i.e. March, June, September and December.