Classification of physiological disorders in apples fruit using a hybrid model based on convolutional neural network and machine learning methods-Reference-Cited by-同舟云学术

Classification of physiological disorders in apples fruit using a hybrid model based on convolutional neural network and machine learning methods

Published:2022-05-25 Issue:19 Volume:34 Page:16973-16988
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Buyukarikan Birkan^ORCID,Ulker Erkan^ORCID

Funder

Konya Teknik Üniversitesi

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-022-07350-x.pdf

Reference98 articles.

1. Buyukarikan U (2019) Agricultural practices of apple and apple nursery production according to Turkish IAS 41 accounting standard in an agricultural enterprise. Custos E Agronegocio Online 15(2):465–488

2. Şaşmaz MÜ, Özel Ö (2019) Tarım sektörüne sağlanan mali teşviklerin tarım sektörü gelişimi üzerindeki etkisi: Türkiye örneği. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi 61:50–65

3. Singh Z, Zaharah SS (2011) Controlled atmosphere storage of mango fruit: challenges and thrusts and its implications in international mango trade. In: Global conference on augmenting production and Utilization of Mango: biotic and abiotic stresses 1066, 179–191. https://doi.org/10.17660/ActaHortic.2015.1066.21

4. Seppä L, Peltoniemi A, Tahvonen R, Tuorila H (2013) Flavour and texture changes in apple cultivars during storage. LWT-Food Sci Technol 54(2):500–512. https://doi.org/10.1016/j.lwt.2013.06.012

5. Toivonen PM (2004) Postharvest storage procedures and oxidative stress. HortScience 39(5):938–942

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