Optimization Study of RGB Image-based Apple Fruit Measurement for Digital Breeding

Author:

Lyu Jae Il1,Lee Chaewon2,Lee Seo Yeon1,Kim Younguk1,Kim Nyunhee1,Song Ji Seon1,Baek JeongHo1,Cho Jung Gun3,Kim Kyung-Hwan1

Affiliation:

1. Gene Engineering Division, National Institute of Agricultural Sciences, Jeonju 54874, Republic of Korea

2. Crop Cultivation & Environment Research Division, National Institute of Crop Sciences, Suwon 16613, Republic of Korea

3. Fruit Research Division, National Institute of Horticultural and Herbal Science, Wanju 55365, Republic of Korea

Funder

Rural Development Administration

Publisher

Korean Society of Breeding Science

Subject

General Medicine

Reference24 articles.

1. ImageJ

2. High Throughput Phenotyping for Various Traits on Soybean Seeds Using Image Analysis

3. Choi SH, Park GH, Yang OS, Lee CW, Kim YU, Lee EG, Baek JH, Kim KH, Lee HR. 2020. Implementation of phenotype trait management system using OpenCV. J Korea Ind Inf Syst Res 25: 25-32.

4. Plant Phenotyping Research Trends, a Science Mapping Approach

5. Determination of Morphological, Pomological and Molecular Variations among Apples in Niğde, Turkey using iPBS Primers

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1. Deep Learning-based Weight and Grade Prediction Algorithm from Apple Images;The Journal of Korean Institute of Information Technology;2024-06-30

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