Establishment of a Tool for Determining the Female Strobili Developmental Stage of Japanese Black Pine (<i>Pinus thunbergii</i>) Using Convolutional Neural Network MobileNetV2-Reference-Cited by-同舟云学术

Establishment of a Tool for Determining the Female Strobili Developmental Stage of Japanese Black Pine (<i>Pinus thunbergii</i>) Using Convolutional Neural Network MobileNetV2

Published:2023-10-01 Issue:10 Volume:105 Page:316-322
ISSN:1349-8509
Container-title:Journal of the Japanese Forest Society
language:en
Short-container-title:J. Jpn. For. Soc.

Author:

Miyamoto Naoko¹^ORCID,Fukatsu Eitaro²,Iki Taiichi¹,Iwaizumi Masakazu³,Matsunaga Koji³,Yamanobe Taro⁴

Affiliation:

1. Tohoku Regional Breeding Office, Forest Tree Breeding Center, Forestry and Forest Products Research Institute

2. Forest Tree Breeding Center, Forestry and Forest Products Research Institute

3. Kyushu Regional Breeding Office, Forest Tree Breeding Center, Forestry and Forest Products Research Institute

4. Kansai Regional Breeding Office, Forest Tree Breeding Center, Forestry and Forest Products Research Institute

Publisher

The Japanese Forest Society

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/jjfs/105/10/105_316/_pdf

Reference26 articles.

1. 我妻幸長 (2022) PyTorchで作る深層学習モデル・AIアプリ開発入門．翔泳社

2. 赤石雅典 (2021) 最短コースでわかるPyTorch&深層学習（ディープラーニング）プログラミング．日経BP

3. Chilamkurthy S (2023) PyTorch Transfer Learning for Computer Vision Tutorial. https://pytorch.org/tutorials/beginner/transfer_learning_tutorial.html （2023.7.20参照）

4. Géron A (2020) scikit-learn, Keras, TensorFlowによる実践機械学習　第2版．オライリー・ジャパン

5. 橋詰隼人 (1961) クロマツ花性分化の人工管理（III）．日林誌 43: 297-305