Design and Implementation of an Algorithm for Selecting Mangifera Indica Crop Fruits Using Machine Vision and Artificial Intelligence

Abstract

The use of technology in terms of improving the production processes of the agro-industry, is increasing significantly. This paper presents the results of the design of an algorithm based on image processing and artificial intelligence for segmenting fruits of Mangifera Indica, with the purpose to establish the shape, the degree of maturity based on color and to estimate the fruit size. This work can be used as a support tool for the agriculturists, for the management of harvest in the crops. Algorithm results allow to determine the condition of the fruit in the harvesting process, helping agriculturist to improve crop productivity.

Plant phenotyping relevance

マンゴー果実の画像処理・AIによる形状、成熟度、サイズ推定アルゴリズムの開発が中心であり、植物器官の観測可能な形質を抽出するため、植物フェノタイピング手法として含める。

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