Estimating Oil and Protein Content of Sesame Seeds Using Image Processing and Artificial Neural Network-Reference-Cited by-同舟云学术

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Estimating Oil and Protein Content of Sesame Seeds Using Image Processing and Artificial Neural Network

Published:2020-04-17 Issue:7 Volume:97 Page:691-702
ISSN:0003-021X
Container-title:Journal of the American Oil Chemists' Society
language:en
Short-container-title:J Am Oil Chem Soc

Author:

Parsaeian Mahdieh¹^ORCID,Shahabi Mojtaba²,Hassanpour Hamid²

Affiliation:

1. Department of Agronomy and Plant Breeding SciencesShahrood University of Technology, C.P. 3619995161. University Blvd. Shahrood Iran

2. Department of Computer EngineeringShahrood University of Technology, C.P. 3619995161. University Blvd. Shahrood Iran

Publisher

Wiley

Subject

Organic Chemistry,General Chemical Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aocs.12356

Reference29 articles.

1. Modeling Oil Content of Sesame (Sesamum indicumL.) Using Artificial Neural Network and Multiple Linear Regression Approaches

2. Generalized Regression Neural Network and Radial Basis Function for Heart Disease Diagnosis

3. The Influence of Colour Features on Seed Identification Using Machine Vision

4. Physical properties of sesame seeds harvested at different maturation stages and thirds of the plant

5. Awate A. Deshmankar D. Amrutkar G. Bagul U. &Sonavane S.(2015)Fruit disease detection using color texture analysis and ANN. Green Computing and Internet of Things (ICGCIoT). International Conference on 2015. IEEE 970–975.

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