• Dr (Mrs) C.Immaculate Mary
• Mrs A.Jensila Smile

Flowers play an vital role in aiding in the reproduction of more flowers, fruits and vegetables. Flowers attract bees, butterflies, wasps, moths and hummingbirds who move pollen grains from one plant to another.Thus pollination takes place.Studies propose that flowers have the power to reduce stress related problems. Because they increase positivity in behavioural moods, they can reduce various levels of anxiety and allow people to feel more at comfort. Flowers are considered a thing of beauty because of their attractive colors, interesting shapes and sizes.The aim of this paper is to do a effective yield estimation of flowers that serves as basis for management and planning of flower marketing .The proposed methodology includes binary image transformation of input image with respect to red ,green and blue plane followed by taking the cumulative sum of all the RGB planes in order to achieve the very best possible segmentation results. Complementing the resultant image converts dark regions to light and light regions to dark which is followed by smoothening morphological operation by disc shaped structuring element.Statistical features were extracted from the resultant image and a bounding box rectangle was used to count the objects in the image.The overall accuracy of counting flowers was measured to be as 95.45%.Yield prediction is an important step in precision agriculture for computer vision system. Yield prediction is done by counting the flowers in the field. In manual count, results are wrong due to greater amount of exhaustion of continuous and repetitive work. The process is also difficult and time consuming.

Thresholding,morphological,bounding box

"AN EFFECTIVE YIELD ESTIMATION TECHNIQUE FOR ENHANCEMENT OF FLOWER GROWTH USING DIGITAL IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.353-356, March-2019, Available :http://www.jetir.org/papers/JETIRAD06058.pdf

"AN EFFECTIVE YIELD ESTIMATION TECHNIQUE FOR ENHANCEMENT OF FLOWER GROWTH USING DIGITAL IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp353-356, March-2019, Available at : http://www.jetir.org/papers/JETIRAD06058.pdf