SHP Buddy: a QGIS plugin for generating shapefiles to support remote sensing in plant breeding and agronomic experiments.

IF 4.4 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Plant Methods Pub Date : 2025-02-12 DOI:10.1186/s13007-025-01336-1
Nathaniel Burner, Donna K Harris, Zenglu Li
{"title":"SHP Buddy: a QGIS plugin for generating shapefiles to support remote sensing in plant breeding and agronomic experiments.","authors":"Nathaniel Burner, Donna K Harris, Zenglu Li","doi":"10.1186/s13007-025-01336-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Shapefiles are a geospatial vector data format used to indicate geographic features in geographic information systems (GIS) software. Shapefiles are used in high-throughput phenotyping plant breeding and agronomic studies to identify plots from aerial imagery and extract remote sensing data. However, the process of manually creating shapefiles is tedious and error prone. Current options that assist in shapefile generation suffer from issues such as installation processes that require a degree of programming knowledge or inefficient methods for incorporating plot-level information from field books. In this study, we have developed a program called 'SHP Buddy', a QGIS plugin that provides accessible and intuitive functions that quickly generate shapefiles for common experimental layouts used in agricultural research.</p><p><strong>Results: </strong>SHP Buddy is a free and open source QGIS plugin that is easily downloaded directly from the QGIS plugin repository. It provides options for generating serpentine replicated and unreplicated experimental layouts. Further, SHP Buddy is the first of its type to provide an intuitive method for removing non-experimental plots, such as non-experimental \"fill\" plots at the end of experiments or plots in irrigation wheel tracks. Plot information is easily incorporated by uploading a field book CSV file that contains a column of matching plot numbers. Lastly, plot dimensions can be modified to produce more precise regions of interest.</p><p><strong>Conclusions: </strong>SHP Buddy substantially reduces the time and increases the accuracy of shapefile generation. This results in reliable shapefiles that improve record keeping and the quality of high-throughput phenotyping data extracted. By working natively in QGIS, SHP Buddy provides an efficient solution to shapefile generation while maintaining a low learning curve.</p>","PeriodicalId":20100,"journal":{"name":"Plant Methods","volume":"21 1","pages":"17"},"PeriodicalIF":4.4000,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11823009/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plant Methods","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1186/s13007-025-01336-1","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Shapefiles are a geospatial vector data format used to indicate geographic features in geographic information systems (GIS) software. Shapefiles are used in high-throughput phenotyping plant breeding and agronomic studies to identify plots from aerial imagery and extract remote sensing data. However, the process of manually creating shapefiles is tedious and error prone. Current options that assist in shapefile generation suffer from issues such as installation processes that require a degree of programming knowledge or inefficient methods for incorporating plot-level information from field books. In this study, we have developed a program called 'SHP Buddy', a QGIS plugin that provides accessible and intuitive functions that quickly generate shapefiles for common experimental layouts used in agricultural research.

Results: SHP Buddy is a free and open source QGIS plugin that is easily downloaded directly from the QGIS plugin repository. It provides options for generating serpentine replicated and unreplicated experimental layouts. Further, SHP Buddy is the first of its type to provide an intuitive method for removing non-experimental plots, such as non-experimental "fill" plots at the end of experiments or plots in irrigation wheel tracks. Plot information is easily incorporated by uploading a field book CSV file that contains a column of matching plot numbers. Lastly, plot dimensions can be modified to produce more precise regions of interest.

Conclusions: SHP Buddy substantially reduces the time and increases the accuracy of shapefile generation. This results in reliable shapefiles that improve record keeping and the quality of high-throughput phenotyping data extracted. By working natively in QGIS, SHP Buddy provides an efficient solution to shapefile generation while maintaining a low learning curve.

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一个QGIS插件,用于生成形状文件,以支持植物育种和农艺实验中的遥感。
背景:形状文件是一种地理空间矢量数据格式,用于表示地理信息系统(GIS)软件中的地理特征。Shapefiles用于高通量表型植物育种和农艺研究,从航空图像中识别地块并提取遥感数据。但是,手动创建shapefile的过程冗长且容易出错。当前帮助生成shapefile的选项存在一些问题,比如安装过程需要一定程度的编程知识,或者使用低效的方法来合并来自现场书籍的绘图级信息。在这项研究中,我们开发了一个名为“SHP Buddy”的程序,这是一个QGIS插件,提供了可访问和直观的功能,可以快速生成用于农业研究中常见实验布局的形状文件。结果:SHP Buddy是一个免费和开源的QGIS插件,可以很容易地直接从QGIS插件库下载。它提供了生成蛇形复制和未复制实验布局的选项。此外,SHP Buddy是同类中第一个提供直观的方法来去除非试验性地块,例如试验结束时的非试验性“填充”地块或灌溉轮轨中的地块。通过上传包含匹配地块编号列的字段书CSV文件,可以轻松合并地块信息。最后,可以修改绘图尺寸以产生更精确的感兴趣区域。结论:SHP Buddy大大减少了时间,提高了shapefile生成的准确性。这将产生可靠的形状文件,从而改善记录保存和提取的高通量表型数据的质量。通过在QGIS中本地工作,SHP Buddy提供了一个高效的shapefile生成解决方案,同时保持了较低的学习曲线。
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 去求助
来源期刊
Plant Methods
Plant Methods 生物-植物科学
CiteScore
9.20
自引率
3.90%
发文量
121
审稿时长
2 months
期刊介绍: Plant Methods is an open access, peer-reviewed, online journal for the plant research community that encompasses all aspects of technological innovation in the plant sciences. There is no doubt that we have entered an exciting new era in plant biology. The completion of the Arabidopsis genome sequence, and the rapid progress being made in other plant genomics projects are providing unparalleled opportunities for progress in all areas of plant science. Nevertheless, enormous challenges lie ahead if we are to understand the function of every gene in the genome, and how the individual parts work together to make the whole organism. Achieving these goals will require an unprecedented collaborative effort, combining high-throughput, system-wide technologies with more focused approaches that integrate traditional disciplines such as cell biology, biochemistry and molecular genetics. Technological innovation is probably the most important catalyst for progress in any scientific discipline. Plant Methods’ goal is to stimulate the development and adoption of new and improved techniques and research tools and, where appropriate, to promote consistency of methodologies for better integration of data from different laboratories.
期刊最新文献
OpenEar: an ultra-affordable, high-throughput, and accurate maize ear phenotyping system. Paft-wpest: wolfberry pests fine-grained classification method based on generative self-supervised learning. Organ-level 3D phenotyping of saffron using a low-cost dual-camera workflow. MoEGP: an efficient crop genomic prediction approach based on the mixture of experts network. Establishment of fluorescent protein-tagged lines for investigating dynamic localization of organelle and other cell structures in rice pollen tube.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1