Convolutional Neural Network Model for Variety Classification and Seed Quality Assessment of Winter Rapeseed

Convolutional Neural Network Model for Variety Classification and Seed Quality Assessment of Winter Rapeseed

The main objective of this study is to develop an automatic classification model for winter rapeseed varieties, to assess seed maturity and damage based on seed colour using a convolutional neural network (CNN). A CNN with a fixed architecture was built, consisting of an alternating arrangement of f...

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Bibliographic Details
Main Authors: Piotr Rybacki, Janetta Niemann, Kiril Bahcevandziev, Karol Durczak
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
winter rapeseed
<i>Brassica napus</i> L.
seed quality
Python
machine learning
CNN
Online Access:https://www.mdpi.com/1424-8220/23/5/2486

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