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16 | 16 | #' } |
17 | 17 | #' @source {Cinar, I. and Koklu, M. (2019). Classification of Rice Varieties Using Artificial Intelligence Methods. International Journal of Intelligent Systems and Applications in Engineering, vol.7, no.3 (Sep. 2019), pp.188-194. doi:10.18201/ijisae.2019355381} |
18 | 18 | "rice" |
| 19 | + |
| 20 | +#' Pumpkin seeds Dataset |
| 21 | +#' |
| 22 | +#' A total of 2500 pumpkin seed's images were taken for the two species (Çerçevelik and Ürgüp Sivrisi), |
| 23 | +#' processed and feature inferences were made. 12 morphological features were obtained for each pumpkin seeds. |
| 24 | +#' |
| 25 | +#' @format A data frame with 13 variables and 2500 observations: |
| 26 | +#' \describe{ |
| 27 | +#' \item{\code{area}}{The number of pixels within the borders of a pumpkin seed.} |
| 28 | +#' \item{\code{perimeter}}{The circumference in pixels of a pumpkin seed.} |
| 29 | +#' \item{\code{major_axis_length}}{The maximal axis distance of a pumpkin seed.} |
| 30 | +#' \item{\code{minor_axis_length}}{The small axis distance of a pumpkin seed.} |
| 31 | +#' \item{\code{convex_area}}{The ratio of a pumpkin seed area to the bounding box pixels.} |
| 32 | +#' \item{\code{equiv_diameter}}{The area of the pumpkin seed by four and dividing by the number pi, and taking the square root.} |
| 33 | +#' \item{\code{eccentricity}}{The eccentricity of a pumpkin seed.} |
| 34 | +#' \item{\code{solidity}}{The convex condition of the pumpkin seeds.} |
| 35 | +#' \item{\code{extent}}{The ratio of a pumpkin seed area to the bounding box pixels.} |
| 36 | +#' \item{\code{roundness}}{The ovality of pumpkin seeds without considering its distortion of the edges.} |
| 37 | +#' \item{\code{aspect_ratio}}{The aspect ratio of the pumpkin seeds.} |
| 38 | +#' \item{\code{compactness}}{The area of the pumpkin seed relative to the area of the circle with the same circumference.} |
| 39 | +#' \item{\code{class}}{A **factor** with two levels: `"Cercevelik"`, and `"Urgup Sivrisi"`.} |
| 40 | +#' } |
| 41 | +#' @source {KOKLU, M., SARIGIL, S. and OZBEK, O. (2021). The use of machine learning methods in classification of pumpkin seeds (Cucurbita pepo L.). Genetic Resources and Crop Evolution, 68(7), 2713-2726. doi:10.1007/s10722-021-01226-0} |
| 42 | +"pumpkins" |
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