Computer aided detection of nitrogen content in plant tissues using convolutional neural network
IF 0.7
4区 农林科学
Q4 HORTICULTURE
引用次数: 0
卷积神经网络用于植物组织氮含量的计算机辅助检测
本文章由计算机程序翻译，如有差异，请以英文原文为准。
求助全文
约1分钟内获得全文
求助全文
来源期刊
CiteScore
1.90
自引率
11.10%
发文量
48
审稿时长
>36 weeks
期刊介绍：
eJHS publishes original research articles and reviews on significant plant science discoveries and new or modified methodologies and technologies with a broad international and cross-disciplinary interest in the scope of global horticulture. eJHS focus is on applied and fundamental aspects of the entire food value chain, ranging from breeding, production, processing, trading to retailing of horticultural crops and commodities in temperate and Mediterranean regions. In particular eJHS emphasizes integrated crop management strategies during the preharvest and postharvest stages, aiming at sustainably increasing the quantity and quality of horticultural products. The eJHS publishes peer-reviewed articles, reviews and special thematic issues in the following science areas:
breeding and genetic resources;
clonal (micro)propagation and seed physiology;
cropping systems, including crop management practices;
plant/fruit growth and development, including interactions with environments and organisms;
plant protection and plant nutrition;
irrigation and plant water relation;
whole plant physiology and source/sink relation;
urban horticulture/protected cultivation;
fruit ripening and product quality;
storage technologies, including postharvest disorders;
food processing technologies/horticultural engineering;
marketing/economics;
education and consultancy;
consumer sciences.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
