A Combined Method of Image Processing and Artificial Neural Network for the Identification of 13 Iranian Rice Cultivars

A Combined Method of Image Processing and Artificial Neural Network for the Identification of 13 Iranian Rice Cultivars

Due to the importance of identifying crop cultivars, the advancement of accurate assessment of cultivars is considered essential. The existing methods for identifying rice cultivars are mainly time-consuming, costly, and destructive. Therefore, the development of novel methods is highly beneficial....

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Bibliographic Details
Main Authors: Yousef Abbaspour-Gilandeh, Amir Molaee, Sajad Sabzi, Narjes Nabipur, Shahaboddin Shamshirband, Amir Mosavi
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Agronomy
Subjects:
rice
crop
image processing
cultivar
artificial intelligence
artificial neural networks
big data
food informatics
machine learning
Online Access:https://www.mdpi.com/2073-4395/10/1/117

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