Detection the maturity of multi-cultivar olive fruit in orchard environments based on Olive-EfficientDet-Reference-Cited by-同舟云学术

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Detection the maturity of multi-cultivar olive fruit in orchard environments based on Olive-EfficientDet

Published:2024-01 Issue: Volume:324 Page:112607
ISSN:0304-4238
Container-title:Scientia Horticulturae
language:en
Short-container-title:Scientia Horticulturae

Author:

Zhu Xueyan,Chen Fengjun,Zhang Xinwei,Zheng Yili,Peng Xiaodan,Chen Chuang

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Horticulture

Reference37 articles.

1. Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs) and support vector machine (SVM);Azarmdel;Postharvest Biol. Technol.,2020

2. Evaluation of hawthorns maturity level by developing an automated machine learning-based algorithm;Azadnia;Ecol. Inform.,2022

3. High quality, good health: the case for olive oil;Bernardini;Eur. J. Lipid Sci. Technol.,2017

4. Virgin olive oils: environmental conditions, agronomical factors and processing technology affecting the chemistry of flavor profile;Caporaso;J. Food Chem. Nanotechnol.,2016

5. Citrus fruits maturity detection in natural environments based on convolutional neural networks and visual saliency map;Chen;Precis. Agric.,2022

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