新闻中心

资讯分类
您现在的位置:
首页
/
/
/
《AgriEngineering》专刊征稿启示

《AgriEngineering》专刊征稿启示

  • 分类:行业新闻
  • 作者:PhenoTrait
  • 来源:本站
  • 发布时间:2021-06-01 15:45
  • 访问量:

【概要描述】由澳大利亚阿德雷德大学刘华健博士为英文期刊“AgriEngineering”组织的主题专刊"Remote Sensing Applications for Pest Detection in Agriculture"正在征稿中,欢迎研究遥感技术检测害虫和杂草的朋友投稿。

《AgriEngineering》专刊征稿启示

【概要描述】由澳大利亚阿德雷德大学刘华健博士为英文期刊“AgriEngineering”组织的主题专刊"Remote Sensing Applications for Pest Detection in Agriculture"正在征稿中,欢迎研究遥感技术检测害虫和杂草的朋友投稿。

  • 分类:行业新闻
  • 作者:PhenoTrait
  • 来源:本站
  • 发布时间:2021-06-01 15:45
  • 访问量:
详情

由澳大利亚阿德雷德大学刘华健博士为英文期刊“AgriEngineering”组织的主题专刊"Remote Sensing Applications for Pest Detection in Agriculture"正在征稿中,欢迎研究遥感技术检测害虫和杂草的朋友投稿,详细内容见下文。

 


 

Special Issue Editor

Dr. Huajian Liu

E-Mail :huajian.liu@adelaide.edu.au

Website:https://researchers.adelaide.edu.au/profile/huajian.liu

SciProfiles :https://sciprofiles.com/profile/1167420

Guest Editor

The Plant Accelerator, Australian Plant Phenomics Facility, School of Agriculture, Food and Wine, University of Adelaide, 5005 Adelaide, Australia

Interests: hyperspectral- and 3D-based plant phenotyping; computer vision; machine learning and deep learning in agriculture applications; optical sensing system design; pest detection

 

Special Issue Information

Dear Colleagues,

 

Pests, including weeds and invertebrate pests, are the major source of crop yield loss worldwide. Weeds compete with crops for nutrients and water. Invertebrate pests, such as locusts, aphids and snails, consume corps and spread disease. Effective control of pest is critical for maximising crop yields and meeting quality standards at harvest. However, currently, the agricultural industry is highly reliant on “broad-spectrum” pesticides to control pests. As a result, the overuse of pesticides has resulted in pests developing resistance to pesticides. It also pollutes our environment and threatens food safety. In precision agriculture, if the location, time, species and populations of pests in the fields were available, instead of heavily relying upon pesticide, site specific weed management (SSWM) or integrated pest management (IPM) would use the optimized combination of mechanical, chemical, biological and genetic tools to control pests. Therefore, pest detection is a prerequisite of SSWM and IPM.

 

This Special Issue aims to provide researchers with a platform to share the state-of-art remote sensing applications for pest detection in agriculture. With this special issue, we invite you to share your high-quality research results and put new insights into pest detection technologies. Original research papers or review papers are welcome. Contributions are expected to deal with, but are not limited to the following areas:

  • Sensors and Instrumentation
  • Hyperspectral or multispectral sensing
  • Machine vision or computer vision
  • Robotics
  • Automation
  • Artificial intelligence
  • Satellite imaging
  • Unmanned aerial vehicle applications
  • Ground-base platform
  • Greenhouse applications

 

Dr. Huajian Liu

Guest Editor

 

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

 

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authorspage. AgriEngineering is an international peer-reviewed open access quarterly journal published by MDPI.

 

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

 

Keywords

invertebrate pest detection

weed detection

remoting sensing

site specific weed management

integrated pest management

precision agriculture

 

Published Papers

This special issue is now open for submission.

 

A special issue of AgriEngineering (ISSN 2624-7402).

 

Deadline for manuscript submissions: 1 March 2022.

关键词:

扫二维码用手机看

推荐新闻

高通量植物表型平台建设注意事项
高通量植物表型平台建设注意事项
发布时间 : 2022-05-20 11:45:57
育种,是在给定的环境条件下,选择各种表型指标(产量、品质、抗性)最优的基因型材料的过程(AI育种,从这里起步)。育种工作中大约70%的工作量来自表型观察测量和筛选,是最耗人力物力的过程。
查看详情
育种,是在给定的环境条件下,选择各种表型指标(产量、品质、抗性)最优的基因型材料的过程(AI育种,从这里起步)。育种工作中大约70%的工作量来自表型观察测量和筛选,是最耗人力物力的过程。
作物生理表型测量基础原理
作物生理表型测量基础原理
发布时间 : 2022-05-13 10:56:43
生理表型测量的核心在于“早、快”,要在肉眼可见之前就能测量并预判出变化趋势,才是这个技术的核心价值。叶绿素荧光成像,恰好满足了这个要求。
查看详情
生理表型测量的核心在于“早、快”,要在肉眼可见之前就能测量并预判出变化趋势,才是这个技术的核心价值。叶绿素荧光成像,恰好满足了这个要求。
AI育种,从这里起步
AI育种,从这里起步
发布时间 : 2022-05-09 12:21:00
植物表型本身就是一个跨学科领域,自带AI基因。而植物表型服务的对象就是育种和种植。AI通过植物表型赋能育种,是AI育种的重要发展方向之一。让我们用表型之“瞳”,赋农业之“慧”。
查看详情
植物表型本身就是一个跨学科领域,自带AI基因。而植物表型服务的对象就是育种和种植。AI通过植物表型赋能育种,是AI育种的重要发展方向之一。让我们用表型之“瞳”,赋农业之“慧”。
致即将毕业的你
致即将毕业的你
发布时间 : 2021-04-20 15:29:43
如果您有意向,不要彷徨不要犹豫,赶快将您的简历发到邮箱hr@phenotrait.com吧。
查看详情
如果您有意向,不要彷徨不要犹豫,赶快将您的简历发到邮箱hr@phenotrait.com吧。

视频展示

植物表型架起从数字农业到智慧农业的桥梁
00:30:11
所属分类:
视频展示
发布时间:
2020/12/10
关键词:

专题报道

搜索
确认
取消

联系我们

慧诺瑞德(北京)科技有限公司

地址:北京市海淀区西三旗街道建材城中路12号院8号楼2门 
电话:010-62925490829288548292886482928874
传真:010-62925490-802
Email:
info@phenotrait.com

邮编:100096

在线留言

关注我们

这是描述信息

植物表型圈

这是描述信息

植物表型资讯

慧诺瑞德(北京)科技有限公司版权所有      京ICP备15043840号    网站建设:中企动力   北二分     法律声明