Application of digital image processing for horticulture.

Abstract

Flowers are in high demand because the world population consumes them daily. This research aims to improve Flower production and quality through flower measurement methods, which have a low impact factor on the Flower and plant during measurements. In the present paper, we present a review of the main attributes, such as colour, firmness, shape, size and composition, that determine Flower quality for final consumers; we also overview the methods currently used to evaluate these attributes. The future trend in attribute analysis involves the development of portable, low-cost devices that take images directly from crops in the field to instantly determine quality characteristics. The main factor in the classification is the detection of deficiencies. Depend on the average pixel intensity value; the horticulture merchandise is graded as defected or healthy.