土耳其种植的认证水稻 Osmancik品种和Cammeo品种数据集

Ilkay CINAR Graduate School of Natural and Applied Sciences, Selcuk University, TURKEY, ORCID ID : 0000-0003-0611-3316 lkay_cinar '@' hotmail.com Murat KOKLU Faculty of Technology, Selcuk University, TURKEY. ORCID ID : 0000-0002-2737-2360 mkoklu '@' selcuk.edu.tr Data Set Information: Among the certified rice grown in TURKEY, the Osmancik species, which has a large planting area since 1997 and the Cammeo species grown since 2014 have been selected for the study. When looking at the general characteristics of Osmancik species, they have a wide, long, glassy and dull appearance. When looking at the general characteristics of the Cammeo species, they have wide and long, glassy and dull in appearance. A total of 3810 rice grain's images were taken for the two species, processed and feature inferences were made. 7 morphological features were obtained for each grain of rice. Attribute Information: 1.) Area: Returns the number of pixels within the boundaries of the rice grain. 2.) Perimeter: Calculates the circumference by calculating the distance between pixels around the boundaries of the rice grain. 3.) Major Axis Length: The longest line that can be drawn on the rice grain, i.e. the main axis distance, gives. 4.) Minor Axis Length: The shortest line that can be drawn on the rice grain, i.e. the small axis distance, gives. 5.) Eccentricity: It measures how round the ellipse, which has the same moments as the rice grain, is. 6.) Convex Area: Returns the pixel count of the smallest convex shell of the region formed by the rice grain. 7.) Extent: Returns the ratio of the regionformed by the rice grain to the bounding box pixels. 8.) Class: Cammeo and Osmancik rices Relevant Papers: 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. ([Web link]) Citation Request: 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. ([Web link])