找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Computer and Computing Technologies in Agriculture IX; 9th IFIP WG 5.14 Int Daoliang Li,Zhenbo Li Conference proceedings 2016 IFIP Internat

[复制链接]
查看: 7434|回复: 63
发表于 2025-3-21 17:25:26 | 显示全部楼层 |阅读模式
书目名称Computer and Computing Technologies in Agriculture IX
副标题9th IFIP WG 5.14 Int
编辑Daoliang Li,Zhenbo Li
视频videohttp://file.papertrans.cn/235/234342/234342.mp4
概述Includes supplementary material:
丛书名称IFIP Advances in Information and Communication Technology
图书封面Titlebook: Computer and Computing Technologies in Agriculture IX; 9th IFIP WG 5.14 Int Daoliang Li,Zhenbo Li Conference proceedings 2016 IFIP Internat
描述The two volumes IFIP AICT 478 and 479 constitute the refereed post-conference proceedings of the 9th IFIP WG 5.14 International Conference on Computer and Computing Technologies in Agriculture, CCTA 2015, held in Beijing, China, in September 2015. The 122 revised papers included in this volume were carefully selected from 237 submissions. They cover a wide range of interesting theories and applications of information technology in agriculture, including intelligent sensing, monitoring and automatic control technology; key technology and models of the Internet of things; intelligent technology for agricultural equipment; computer vision; computer graphics and virtual reality; computer simulation, optimization and modeling; cloud computing and agricultural applications; agricultural big data; decision support systems and expert systems; 3s technology and precision agriculture; quality and safety of agricultural products; detection and tracing technology; and agricultural electronic commerce technology.
出版日期Conference proceedings 2016
关键词artificial intelligence; classification; clustering; computer vision; computers in agriculture; crops; dec
版次1
doihttps://doi.org/10.1007/978-3-319-48354-2
isbn_softcover978-3-319-83919-6
isbn_ebook978-3-319-48354-2Series ISSN 1868-4238 Series E-ISSN 1868-422X
issn_series 1868-4238
copyrightIFIP International Federation for Information Processing 2016
The information of publication is updating

书目名称Computer and Computing Technologies in Agriculture IX影响因子(影响力)




书目名称Computer and Computing Technologies in Agriculture IX影响因子(影响力)学科排名




书目名称Computer and Computing Technologies in Agriculture IX网络公开度




书目名称Computer and Computing Technologies in Agriculture IX网络公开度学科排名




书目名称Computer and Computing Technologies in Agriculture IX被引频次




书目名称Computer and Computing Technologies in Agriculture IX被引频次学科排名




书目名称Computer and Computing Technologies in Agriculture IX年度引用




书目名称Computer and Computing Technologies in Agriculture IX年度引用学科排名




书目名称Computer and Computing Technologies in Agriculture IX读者反馈




书目名称Computer and Computing Technologies in Agriculture IX读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 20:34:07 | 显示全部楼层
发表于 2025-3-22 01:33:24 | 显示全部楼层
Study on Landscape Sensitivity and Diversity Analysis in Yucheng City,nse to the different scales, or 18 different scales. The detailed results showed that the decreasing trend was presented from 5 m scale to 210 m scale for each index. Furthermore, we also analyzed the scale effects for different landscape index. Finally, based on image by the change of LSI, PAFRAC,
发表于 2025-3-22 04:40:30 | 显示全部楼层
发表于 2025-3-22 09:18:40 | 显示全部楼层
发表于 2025-3-22 15:36:46 | 显示全部楼层
发表于 2025-3-22 17:52:59 | 显示全部楼层
Study on the Prediction Model Based on a Portable Soil TN Detector,ablished by seven different methods (MLR, PLSR, SVM, BPNN, GA + BPNN, GA + SVM and PSO + SVM). The model established by genetic algorithm (GA) optimizing BP neural network was optimal, with R. of 0.94, R. of 0.78, RMSEC and RMSEP of 0.037 and 0.067. The results showed that the soil total nitrogen co
发表于 2025-3-23 00:19:46 | 显示全部楼层
发表于 2025-3-23 05:06:17 | 显示全部楼层
发表于 2025-3-23 08:45:06 | 显示全部楼层
https://doi.org/10.1007/978-94-007-5061-6nse to the different scales, or 18 different scales. The detailed results showed that the decreasing trend was presented from 5 m scale to 210 m scale for each index. Furthermore, we also analyzed the scale effects for different landscape index. Finally, based on image by the change of LSI, PAFRAC,
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 吾爱论文网 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-25 10:16
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表