A smart system for the automatic evaluation of green olives visual quality in the field-Reference-Cited by-同舟云学术

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A smart system for the automatic evaluation of green olives visual quality in the field

Published:2020-12 Issue: Volume:179 Page:105858
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Sola-Guirado Rafael R.,Bayano-Tejero Sergio,Aragón-Rodríguez Fernando,Bernardi Bruno,Benalia Souraya,Castro-García Sergio

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference39 articles.

1. Deep learning techniques for estimation of the yield and size of citrus fruits using a UAV;Apolo-Apolo;Eur. J. Agron.,2020

2. Non-destructive prediction of internal and external quality attributes of fruit with thick rind: A review;Arendse;J. Food Eng.,2018

3. Fruits and vegetables quality evaluation using computer vision: A review;Bhargava;J. King Saud Univ. - Comput. Inf. Sci.,2018

4. Random Forests;Breiman;Machine Learning,2001

5. Technologies and trends to improve table olive quality and safety;Campus;Front. Microbiol.,2018

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1. Convolutional neural networks to assess bergamot essential oil content in the field from smartphone images;Industrial Crops and Products;2024-11

2. Applying Spectroscopies, Imaging Analyses, and Other Non-Destructive Techniques to Olives and Extra Virgin Olive Oil: A Systematic Review of Current Knowledge and Future Applications;Agriculture;2024-07-16

3. Comparative Evaluation of Color Correction as Image Preprocessing for Olive Identification under Natural Light Using Cell Phones;AgriEngineering;2024-01-16

4. Evaluation of the effect of nanocellulose edible coating on strawberries inoculated with Aspergillus flavus through image analysis;LWT;2024-01

5. Is It Possible to Do a Reliable Assessment of Bergamot Colour in the Field with a Smartphone Camera?;Lecture Notes in Civil Engineering;2024

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