Solanum Melogena Classification Using Features Shape and Color HSV Extraction with Backpropagation Neural Network Method

EasyChair Preprint no. 7148

Abstract

(Solanoum Melongena L). is one of the commodities that have good prospects for development, besides that, eggplant is also rich in health benefits. The focus of this research is on the types of purple, green, round eggplant, and eggplant pokak because these four types have various benefits for body health and in general people think that every eggplant is the same, so classification is needed. to distinguish the types of eggplant and the nutrients contained in these vegetables. Besides that, many methods have been proposed to classify types of fruits and vegetables using digital images, but the results obtained are still below 84% accuracy, because previous studies only used one of the features of the HSV shape and color. In this research.

Keyphrases: BPNN, Shape and Color Features of HSV, Solanoum Melongena

@Booklet{EasyChair:7148,
  author = {Muhammad Arbai and Abdul Syukur and Affandy and Moch Arief Soeleman and Wahyu Nofiyan Hadi},
  title = {Solanum Melogena Classification Using Features Shape and Color HSV Extraction with Backpropagation Neural Network Method},
  howpublished = {EasyChair Preprint no. 7148},

  year = {EasyChair, 2021}}