Offers a rich and diverse collection of datasets focused on agriculture, agronomy, animal science, and related fields. The package includes experimental, observational, and field-trial data on crops such as rice, wheat, corn, soybean, cotton, coffee, avocado, and orange, as well as forestry species including bamboo, eucalyptus, and timber. Datasets cover plant breeding and genetics, factorial and randomized block experiments, herbicide and insecticide efficacy trials, pest and disease infestation, soil characteristics and land suitability, plant growth regulators, seed germination, and crop yield modeling. Additional datasets address animal science topics such as cattle insemination and conception, pig and broiler growth, lamb births, and toxicology studies on aquatic and non-target species. Data sources include peer-reviewed agronomic studies, uniformity and Latin square field trials, glasshouse experiments, and international agricultural surveys. Designed for agronomists, researchers, plant and animal scientists, data scientists, and students, this package facilitates exploratory data analysis, statistical modeling, and hypothesis testing in agricultural and biological sciences. The package includes datasets originally distributed in other R packages. The original authors and contributors associated with these source packages and datasets are acknowledged in Authors@R, and the original sources and applicable licensing terms are documented in LICENSES_DETAILS.md.
The agridatasets package offers a rich and diverse collection of datasets focused on agriculture, agronomy, horticulture, animal husbandry, forestry, plant pathology, entomology, soil science, and food production. It includes comprehensive data on topics such as crop yields, plant growth and genetics, seed germination, disease and pest infestation, herbicide and insecticide trials, fungicide efficacy, soil suitability and classification, animal weight gain and survival, poultry and livestock production, coffee and wine composition, and market/production statistics.
The package contains a wide variety of data types, including experimental field trials, uniformity trials, split-plot and split-split-plot designs, Latin square designs, randomized complete block designs, dose-response bioassays, survival data, and observational/market data. These datasets encompass crop and orchard yields (apple, grape, peach, tomato, strawberry, cotton, wheat, corn, rice, soybean, turnip), plant growth regulators and hormones, herbicide and pesticide efficacy trials, insect and fungal infestation studies, animal growth and reproduction data (cattle, pigs, sheep, poultry, ducks, guinea pigs, fish, bees), soil taxonomy and land-suitability classifications (Munsell color, coffee-growing suitability), and coffee and wine chemical composition data.
You can install the agridatasets package from CRAN with the following R function:
install.packages("agridatasets")
You can install the agridatasets package from its GitHub repository with the following R function:
devtools::install_github("lightbluetitan/agridatasets")
library(agridatasets)
Below are selected example datasets included in the agridatasets package:
bamboo_growth: Bamboo shoot growth measurements across compartments and transects.rice_wheat_production: Historical rice and wheat area, production, and yield statistics.wheat_splitsplit: Split-split-plot wheat trial with inoculation, genotype, moisture, and seed-treatment factors.cattle_butterfat: Butterfat content in cattle by breed and age.soil_munsell_colors: Munsell soil color notations and their traditional descriptive names.avocado_us_sale: U.S. avocado sales and pricing data by week and type.# Load the package
library(agridatasets)
# List all datasets in the package
view_datasets_agridatasets()
# Load dataset
data(wheat_splitsplit)
# Preview the dataset
head(wheat_splitsplit)
# Open in Viewer
View(wheat_splitsplit)
All datasets in this package are provided under their respective original licenses, as documented in LICENSES_DETAILS.md. Users must comply with the licensing terms specified by each original source.
This package, agridatasets, is licensed under the GPL (>= 2) | GPL-3 license.