抽象的な

AUTOMATED DAMAGED FLOWER DETECTION USING IMAGE PROCESSING

Kanij Fatema Aleya, Debabrata Samanta

Floriculture is the growing of cut flowers, potted flowering and foliage plants, and bedding plants in greenhouses and/or in fields. In this paper proposes image processing methodology to detect flower disease of different flowers. In this paper first, the captured images are collected from different field and are processed for enhancement. Then image segmentation is carried out to get target regions (disease spots). Finally, analysis of the target regions (disease spots) based on histogram approach to finding the phase of the disease with the help of stem value and then the treatment consultative module can be prepared by on the lookout for agricultural experts, so plateful the farmers.