生態農業：農業地景生態監測及復育【土木工程學系/楊明德特聘教授】
| 論文篇名 | 英文：Assessment of Rice Developmental Stage Using Time Series UAV Imagery for Variable Irrigation Management 中文：利用時間序列無人機影像評估節水灌溉管理的水稻生育期 |
| 期刊名稱 | SENSORS |
| 發表年份,卷數,起迄頁數 | 2020, 20 (18),5354 |
| 作者 | Yang, Chin-Ying; Yang, Ming-Der(楊明德)*; Tseng,Wei-Cheng; Hsu, Yu-Chun; Li, Guan-Sin; Lai, Ming-Hsin; Wu, Dong-Hong; Lu, Hsiu-Ying |
| DOI | 10.3390/s20185354 |
| 中文摘要 | 稻米是世界三大農作物之一，也是亞洲的主要農作物。氣候變化和水資源短缺可能導致稻米減產和糧食短缺危機。本研究對節水農業管理進行測試，使用了物聯網現場水位監測來自動調節水的流入量。株高（PH）是重要植物表型，可用於確定透過節水灌溉之水稻生長期和產量差異。載有RGB鏡頭的無人機（UAV）採集稻田的多時期影像，以估算稻田的PH，並與現場估算PH值進行比較。測試結果顯示，在2019年進行了兩次作物試驗，透過適當的影像校正，UAV-PH和實際PH間的相關係數高於0.98，說明UAV影像可以準確確定田間水稻生長期的PH變化 。本研究也證實節水農業的有效性，在不影響生育期和最終產量的情況下，2019年第一季和第二季的用水量分別減少了53.5％和21.7％，此也證實結合自動灌溉系統，此節水水稻種植可適應缺水情況。 |
| 英文摘要 | Rice is one of the three major crops in the world and is the major crop in Asia. Climate change and water resource shortages may result in decreases in rice yields and possible food shortage crises. In this study, water-saving farming management was tested, and IOT field water level monitoring was used to regulate water inflow automatically. Plant height (PH) is an important phenotype to be used to determine difference in rice growth periods and yields using water-saving irrigation. An unmanned aerial vehicle (UAV) with an RGB camera captured sequential images of rice fields to estimate rice PH compared with PH measured on site for estimating rice growth stages. The test results, with two crop harvests in 2019, revealed that with adequate image calibration, the correlation coefficient between UAV-PH and field-PH was higher than 0.98, indicating that UAV images can accurately determine rice PH in the field and rice growth phase. The study demonstrated that water-saving farming is effective, decreasing water usage for the first and second crops of 2019 by 53.5% and 21.7%, respectively, without influencing the growth period and final yield. Coupled with an automated irrigation system, rice farming can be adaptive to water shortage situations. |
Figure Low soil levels causing rice death in CPI in the second crop season.
