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航空写真を用いた機械学習による農地パトロールへの活用可能性の検討
https://doi.org/10.15034/0002000063
https://doi.org/10.15034/00020000636fb540fe-75ed-4cf4-87b7-4861cb750fa2
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
BSKJ670003.pdf (1.3 MB)
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| Item type | 文教大学学術リポジトリ登録用アイテムタイプ(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2024-03-27 | |||||
| タイトル | ||||||
| タイトル | 航空写真を用いた機械学習による農地パトロールへの活用可能性の検討 | |||||
| タイトル | ||||||
| タイトル | Investigation of Support for Survey of Farmland Use by Machine Learning Using Aerial Photograph | |||||
| 作成者 |
櫻井, 淳
× 櫻井, 淳 |
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| 内容記述 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | The degradation of farmland has recently become severe because of the aging of farmers and the lack of successors, and its countermeasures are important policy issues. In order to promote the countermeasures, it is essential to understand the situation of degraded farmland. Municipalities and agricultural committees are therefore conducting surveys on farmland use every year. However, as the surveys cover all farmland in a municipality, errors or omissions in the recording of the location of farmland are inevitable even though a great deal of effort is expended for the surveys. This study proposes a machine-learning method for the automatic determination of cultivated and non-cultivated land using aerial photographs and verifies the accuracy of this method. It examines the feasibility and problems of this method to support the surveys of farmland use. | |||||
| 出版者 | ||||||
| 出版者 | 文教大学 | |||||
| 言語 | ||||||
| 言語 | jpn | |||||
| 資源タイプ | ||||||
| 資源タイプ | departmental bulletin paper | |||||
| 出版タイプ | ||||||
| 出版タイプ | VoR | |||||
| ID登録 | ||||||
| ID登録 | 10.15034/0002000063 | |||||
| ID登録タイプ | JaLC | |||||
| 収録物識別子 | ||||||
| 収録物識別子タイプ | PISSN | |||||
| 収録物識別子 | 03893367 | |||||
| 書誌情報 |
ja : 情報研究 en : Information and Communication Studies 巻 67, p. 15-24, ページ数 10, 発行日 2023-07-31 |
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