{"title":"PACU: Precision agriculture computational utilities","authors":"Caio L. dos Santos, Fernando E. Miguez","doi":"10.1016/j.softx.2024.101971","DOIUrl":null,"url":null,"abstract":"<div><div>The field of precision agriculture relies on collecting and processing several types of data to assess temporal and spatial variability. We developed the <em>pacu</em> R package to provide a comprehensive and transparent framework for precision agriculture applications. The package includes functions to process and visualize yield monitor data from production and experimental fields. In addition, <em>pacu</em> facilitates the retrieval, processing, and visualization of satellite images from Copernicus Data Space. Lastly, there are functions to retrieve, summarize, and visualize long-term weather data. The current package is intended to facilitate the access by researchers and agronomists to routine precision agriculture computational utilities.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"28 ","pages":"Article 101971"},"PeriodicalIF":2.4000,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711024003418","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
The field of precision agriculture relies on collecting and processing several types of data to assess temporal and spatial variability. We developed the pacu R package to provide a comprehensive and transparent framework for precision agriculture applications. The package includes functions to process and visualize yield monitor data from production and experimental fields. In addition, pacu facilitates the retrieval, processing, and visualization of satellite images from Copernicus Data Space. Lastly, there are functions to retrieve, summarize, and visualize long-term weather data. The current package is intended to facilitate the access by researchers and agronomists to routine precision agriculture computational utilities.
精准农业领域依赖于收集和处理多种类型的数据，以评估时间和空间的可变性。我们开发了 pacu R 软件包，为精准农业应用提供了一个全面、透明的框架。该软件包包括处理和可视化来自生产和试验田的产量监测数据的功能。此外，pacu 还有助于从哥白尼数据空间检索、处理和可视化卫星图像。最后，还提供了检索、汇总和可视化长期天气数据的功能。目前的软件包旨在方便研究人员和农学家使用常规的精准农业计算实用程序。
期刊介绍：
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
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