Book chapter: The use of machine vision in the diagnosis of ripening strawberries

The problem of image recognition using methods based on statistical solutions can be divided into two classes: parametric and nonparametric. In the first case there is a set of data on the selection of image criteria, in the second such criteria must be found. Taking into account, the possibilities of obtaining initial data for the identification of agricultural objects, the first option is considered in the article. Possibilities of diagnostics of strawberry growth at a stage of its cultivation in hothouse conditions are presented. Several image classifiers that can be used to solve such problems are investigated. An experiment was performed, which has shown the accuracy of the applied algorithms for diagnosis and recognition of berries, which allowed to set thresholds for the detection of ripe berries. A number of berry recognition methods were compared in order to study the accuracy of berry recognition and response to berry growth.

The book chapter is here