Automatic Measurement of the Morphological Characteristics Of Honeybees With A Computational Program

Abstract

The use of Big data related to the breeding of honey bees, when administered and processed effectively, will encourage the development of knowledge-based beekeeping, create new markets and business opportunities and further encourage the development of this industry. There have been attempts to fully automate the process of measuring the morphological characteristics of bees (at this stage there are conversions for Measuring wings), but this process for other parts are still completed manually. A survey was made of the possibilities to automate the process of measuring the morphological characteristics in honeybees and the proposed algorithm and program to implement it. Color characteristics of parts of the bee body -tergite and proboscis, through which they can be separated from the background of the image, are analyzed and measured.Distances are determined between the values of the colour components of the object and background. From statistical analysis, it is found that S and V colour components of the HSV colour model are appropriate for the separation of an object from the background . Algorithms and a program in Matlab environment for separating tergite and proboscis from the background of the image and definition of their main sizes are developed. From the analysis of the results, it is found that the major influence on the accuracy of the measurement is of the bee in the image..