Automated Classification of Agricultural Species through Parallel Artificial Multiple Intelligence System–Ensemble Deep Learning

Automated Classification of Agricultural Species through Parallel Artificial Multiple Intelligence System–Ensemble Deep Learning

The classification of certain agricultural species poses a formidable challenge due to their inherent resemblance and the absence of dependable visual discriminators. The accurate identification of these plants holds substantial importance in industries such as cosmetics, pharmaceuticals, and herbal...

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Bibliographic Details
Main Authors: Keartisak Sriprateep, Surajet Khonjun, Paulina Golinska-Dawson, Rapeepan Pitakaso, Peerawat Luesak, Thanatkij Srichok, Somphop Chiaranai, Sarayut Gonwirat, Budsaba Buakum
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Mathematics
Subjects:
Centella Asiatica
linn
urban
ensemble deep learning
image segmentation
image enhancement
Online Access:https://www.mdpi.com/2227-7390/12/2/351

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