PACU: Precision agriculture computational utilities

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.

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Publication Details

Journal
SoftwareX
Published
2024-11-19
DOI
https://doi.org/10.1016/j.softx.2024.101971
Citations
2
Primary Topic
Soil Geostatistics and Mapping
Type
article
Field-Weighted Citation Impact
0.41
Controls
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article

PACU: Precision agriculture computational utilities

Fernando E. Miguez, Caio L. dos Santos
2 citations
SoftwareX
Soil Geostatistics and Mapping
0.41
article

PACU: Precision agriculture computational utilities

Fernando E. Miguez, Caio L. dos Santos
article en
2 citations

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.

SoftwareXVol. 28
Iowa State University (US)
Zero hunger
Openalex Percentile: Top 40%
Soil Geostatistics and Mapping
0.41
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