Prediction of mechanical extraction oil yield of new sunflower hybrids: artificial neural network model-Reference-Cited by-同舟云学术

Prediction of mechanical extraction oil yield of new sunflower hybrids: artificial neural network model

Published:2021-04-18 Issue:14 Volume:101 Page:5827-5833
ISSN:0022-5142
Container-title:Journal of the Science of Food and Agriculture
language:en
Short-container-title:J Sci Food Agric

Author:

Lužaić Tanja¹^ORCID,Romanić Ranko¹^ORCID,Grahovac Nada²^ORCID,Jocić Siniša²^ORCID,Cvejić Sandra²^ORCID,Hladni Nada²^ORCID,Pezo Lato³^ORCID

Affiliation:

1. Department of Food Preservation Engineering Faculty of Technology Novi Sad, University of Novi Sad Bulevar cara Lazara 1 21000 Novi Sad Republic of Serbia

2. Sunflower Department Institute of Field and Vegetable Crops Maksima Gorkog 30 21000 Novi Sad Republic of Serbia

3. Institute of General and Physical Chemistry, University of Belgrade Studentski trg 12/V 11000 Belgrade Republic of Serbia

Funder

Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja

Ministry of Education, Science and Technology

Publisher

Wiley

Subject

Nutrition and Dietetics,Agronomy and Crop Science,Food Science,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jsfa.11234

Reference47 articles.

1. Moisture-dependent engineering properties of sunflower seeds with different structural characteristics

2. Physical Properties of Sunflower Seeds

3. Breeding and Genetics of Sunflower

4. Classic Genetics and Breeding

5. Confectionery sunflower breeding and supply chain in Eastern Europe

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