Automatic detection of grape varieties with the newly proposed CNN model using ampelographic characteristics-Reference-Cited by-同舟云学术

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Automatic detection of grape varieties with the newly proposed CNN model using ampelographic characteristics

Published:2024-08 Issue: Volume:334 Page:113340
ISSN:0304-4238
Container-title:Scientia Horticulturae
language:en
Short-container-title:Scientia Horticulturae

Author:

Terzi Ismail^ORCID,Ozguven Mehmet Metin,Yagci Adem

Publisher

Elsevier BV

Reference56 articles.

1. Digital ampelographer: a CNN based preliminary approach;Adão;Lecture Notes Comput. Sci.,2019

2. A sugar beet leaf disease classification method based on image processing and deep learning;Adem;Multimed. Tools. Appl.,2023

3. Grape bunch detection at different growth stages using deep learning quantized models;Aguiar;Agronomy,2021

4. Genetics of grapevine breeding;Alleweldt;Prog. Botany,1997

5. State of the art of monitoring technologies and data processing for precision viticulture;Ammoniaci;Agriculture,2021

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