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J-GLOBAL ID:201902274483553238   Reference number:19A0932183

Development of a New Evaluation Method for Individual Selection in Grass Breeding with Unmanned Aerial Vehicle (UAV) and Image Analysis.

Unmanned aerial vehicle(UAV)と画像解析法を利用した牧草個体簡易選抜法の開発
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Volume: 65  Issue:Page: 8-14  Publication year: Apr. 15, 2019 
JST Material Number: Y0119B  ISSN: 0447-5933  CODEN: NSGIDM  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Forage crops,pasture  ,  Graphic and image processing in general 
Reference (18):
  • 秋山征夫,福重直輝,菅 正,久保田明人,田村健一,眞田康治,藤森雅博(2018)Unmanned aerial vehicle(UAV)と画像解析法を利用した牧草育種評価法の開発. 日本草地学会誌 64 : 99-102
  • Arganda-Carreras I, Kaynig V, Rueden C, Schindelin J, Cardona A, Seung HS (2016) Trainable_Segmentation: Release v3.1.2. Zenodo
  • Harazono Y, Chikamoto K, Kikkawa S, Iwata T, Nishida N, Ueyama M, Kitaya Y, Mano M, Miyata A (2009) Applications of MODIS-visible bands index, greenery ratio to estimate CO2 budget of a rice paddy in Japan. J Agric Meteorol 65: 365-374
  • Hodgson JC, Baylis SM, Mott R, Herrod A, Clarke RH (2016) Precision wildlife monitoring using unmanned aerial vehicles. Scientific Reports 6: 22574
  • Hu P, Chapman SC, Wang X, Potgieter A, Duan T, Jordan D, Guo Y, Zheng B (2018) Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: Example for sorghum breeding. Eur J Agron 95: 24-32
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