Intelligent analysis of flowers and knowledge generation: an empirical study for agriculture 4.0
Abstract
Recognizing flowers presents a formidable challenge due to the considerable similarity among various species in terms of size, shape, color, and the presence of surrounding elements like leaves, grass, petals, sepals, and stems. In this study, the authors propose an innovative two-stage deep learning classifier aimed at distinguishing between various species of flowers. Initially, an automated blossom segmentation process is employed to isolate the flower region, facilitating the creation of a minimal bounding box around it. This segmentation step is integral for narrowing the focus to the ...
Get Hybrid Information Systems now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
