書誌事項
- タイトル別名
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- Verification of image processing methods using digital cameras for rice growth diagnosis
- イネ ノ カンイテキ セイイク シンダン ニ ムケタ デジタルカメラ ガゾウ ショリ シュホウ ノ ケントウ
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抄録
<p>Vegetation indices derived from digital camera images have been shown to be useful for rice growth diagnosis in previous research. However, various image processing methods were proposed for calculation of vegetation indices, and they were not standardized. Hence, we compared several image processing methods to identify the suitable method for evaluation of rice leaf area index and above ground biomass using RGB images and false color images. Vegetation indices were calculated with different image processing method, and prediction accuracy for rice growth from the vegetation indices were evaluated. As a result, color and brightness correction improved relationships between rice growth and vegetation indices but segmenting the rice plant area and reduction of gamma correction were not necessary. Through this study, the findings showed the possibility of rice growth diagnosis using aerial images taken by unmanned aerial vehicles.</p>
収録刊行物
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- 写真測量とリモートセンシング
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写真測量とリモートセンシング 59 (6), 248-258, 2020
一般社団法人 日本写真測量学会
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詳細情報 詳細情報について
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- CRID
- 1390572092344709632
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- NII論文ID
- 130008138717
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- NII書誌ID
- AN00111450
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- ISSN
- 18839061
- 02855844
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- NDL書誌ID
- 031239744
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可