Flower Counting in Yield Approximation Using Digital Image Processing Techniques

Floriculture is a discipline of horticulture concerned with the cultivation of flowers and ornamental plants for floral industry and for garden. In Floriculture the accurate forecasting of the yield and their estimation from the raw data are playing the important role in the planning of various aspects of Horticulture production. In most cases, such counting procedure is performed manually, which is often lengthy and tedious in Floriculture fields. A growing number of routine and research activities in a wide variety of fields, have the certain types of objects (people, flowers, cells, etc.) as one of their main components. Flower counting is used in yield estimation of the particular crop using Precision Agriculture (PA). Precision agriculture is defined as the management of crops production. Flower counting is more challenging in digital image processing. This paper presents complete and fully automatic method for flower counting from floriculture field images. The proposed work has been developed in MATLAB Environment.