トップページ |
ログイン
公表論文>
論文>
Visualization of Rainfall Using Participatory Mobile Sensing for Crop Cultivation Support
|
英語タイトル
|
Visualization of Rainfall Using Participatory Mobile Sensing for Crop Cultivation Support
|
|
著者
|
- Yuki Inoue（井上 友希）
- Masayuki Higashino（東野 正幸）
- Takao Kawamura（川村 尚生）
- Mitsuru Tsubo（坪 充）
|
|
論文誌
|
The Proceedings of The 7th International Global Conference Series on ICT Integration in Technical Education & Smart Society (ETLTC 2025)
|
|
巻
|
107
|
|
号
|
1
|
|
ページ
|
|
|
出版年
|
2025年8月
|
|
概要
|
In drylands, farmers practicing rain-dependent agriculture sow their seeds in accordance with the onset of the rainy season. Thus, the onset of the rainy season is extremely important, but inexperienced farmers cannot determine when it begins. To support farmers in determining the optimal sowing date, we propose a method that combines GSMaP estimates with actual measurements from a mobile application to present rainfall data and evaluate its usefulness. In the proposed method, GSMaP is used to visualize estimated rainfall data, but satellite-based estimates can differ from ground-based actual measurements. If farmers own smartphones, they can use a mobile application to record actual rainfall measurements. This allows farmers to selectively incorporate both estimated and actual rainfall data into their cultivation plans.
|
|
ファイル
|
BibTeX
|