Evaluation of Soybean Wildfire Prediction via Hyperspectral Imaging.

Lay, Liny; Lee, Hong Seok; Tayade, Rupesh; Ghimire, Amit; Chung, Yong Suk; Yoon, Youngnam; Kim, Yoonha

Lay, Liny; Lee, Hong Seok; Tayade, Rupesh; Ghimire, Amit; Chung, Yong Suk; Yoon, Youngnam; Kim, Yoonha.

Afiliação

Lay L; Laboratory of Crop Production, Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea.
Lee HS; Crop Production Technology Research Division, National Institute of Crop Science, Rural Development Administration, Miryang 50424, Republic of Korea.
Tayade R; Laboratory of Crop Production, Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea.
Ghimire A; Upland Field Machinery Research Center, Kyungpook National University, Daegu 41566, Republic of Korea.
Chung YS; Laboratory of Crop Production, Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea.
Yoon Y; Department of Plant Resources and Environment, Jeju National University, Jeju 63243, Republic of Korea.
Kim Y; Crop Production Technology Research Division, National Institute of Crop Science, Rural Development Administration, Miryang 50424, Republic of Korea.

Plants (Basel) ; 12(4)2023 Feb 16.

Article em En | MEDLINE | ID: mdl-36840248

Palavras-chave

hyperspectral imaging; plant disease detection; soybean; spectral band; wavelength

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Plants (Basel) Ano de publicação: 2023 Tipo de documento: Article

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