| Autor: |
Giamerti, Yuti, Hongo, Chiharu, Saito, Daiki, Caasi, Oliver, Susilawati, Pepi Nur, Shishido, Masahiro, Sudiarta, I. Putu, Wijaya, I. Made Anom Sutrisna, Sigit, Gunardi, Homma, Koki |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 2957 Issue 1, p1-8, 8p |
| Abstrakt: |
Unmanned aerial vehicle (UAVs) has been introduced into agricultural research to monitor crops. Meanwhile, Leaf Area Index (LAI) of paddy fields is an important trait related to canopy photosynthetic rate and dry matter production during growth periods. This research was conducted in Bali and West Java Province, Indonesia. Data were collected during the rainy and dry seasons of 2018 in farmer's rice fields. The data comprised marking checkpoints by GPS, measurement of LAI by LI-COR LAI-2200, and leaf greenness using SPAD in the GPS point. Vegetation indices were analyzed using QGIS 2.18 from multispectral images. The results showed that LAI increased as the growth stages progress from transplanting to the dough grain stage and decreased when rice plant reached the ripening stage in the dry season, while in the rainy season, LAI increased from transplanting to the ripening stage. NDVI was not accurate enough to evaluate LAI at each observation point but could evaluate average LAI on a farm-scale or locational scale. Some vegetation indices showed a positive correlation with SPAD, but the relationship seemed to be affected by that relation between SPAD and LAI. Further data and analysis are required. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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