UAV multispectral remote sensing for the estimation of SPAD values at various growth stages of maize under different irrigation levels
文献类型：期刊论文
| 作者 | Ma, Weitong1,3; Han, Wenting3,4; Zhang, Huihui5; Cui, Xin2; Zhai, Xuedong4; Zhang, Liyuan6; Shao, Guomin4; Niu, Yaxiao6; Huang, Shenjin7 |
| 刊名 | COMPUTERS AND ELECTRONICS IN AGRICULTURE
 |
| 出版日期 | 2024-12-01 |
| 卷号 | 227页码:12 |
| 关键词 | UAV multispectral remote sensing Machine learning Plant height LAI Water stress |
| ISSN号 | 0168-1699 |
| DOI | 10.1016/j.compag.2024.109566 |
| 通讯作者 | Han, Wenting(hanwt2000@126.com) ; Zhang, Huihui(huihui.zhang@usda.gov) |
| 英文摘要 | Chlorophyll is crucial for photosynthesis in plants and the readings by a SPAD meter (Soil and Plant Analyzer Development) can be used to represent leaf chlorophyll content for monitoring crop growth status and predicting grain yield. Remote sensing technology has shown potential in non-destructive monitoring of SPAD values over large areas, but current SPAD inversion models are limited in their ability to incorporate multiple principal components besides spectral parameters, adapt to other variables such as water stress, and predict SPAD only throughout the entire growth period. This two-year study used crop parameters (plant height and leaf area index) and vegetation indices (VI) derived from unmanned aerial vehicle (UAV) multispectral images to develop SPAD prediction models for maize under different irrigation levels in the 2018 and 2019 growing seasons in Inner Mongolia, China. Two nonlinear machine learning models, random forest (RF) and support vector regression (SVR), and a multiple statistical regression method (partial least squares regression (PLSR)) were used to modeling SPAD. The results showed that the VIs with a high correlation with SPAD varied at each growth stage and the accuracy of SPAD estimation model can be improved significantly by dividing different growth stages (R2 increased by more than 104 %). PLSR performed better than RF and SVR for each growth period, especially at the reproductive R stage (R2 = 0.79, RMSE = 2.25). LAI and PH did not always improve prediction accuracy, but adding crop parameters did increase the correlation coefficient between predicted values and biomass by 8.3 %. This study provides valuable insights into the estimation of SPAD at different growth stages of maize under varying water stress levels using UAV data and crop parameters, offering guidance for farmland management and yield prediction. |
| WOS关键词 | VEGETATION ; SCALES ; INDEX |
| WOS研究方向 | Agriculture ; Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001348390500001 |
| 资助机构 | National Natural Science Foundation of China ; The 14th Five-Year Plan for Chinese National Key R D Project ; Key Research and Development Project of Shaanxi Province ; Chinese Universities Scientific Fund |
| 源URL | [http://ir.yic.ac.cn/handle/133337/37835]  |
| 专题 | 烟台海岸带研究所_中科院烟台海岸带研究所知识产出 |
| 通讯作者 | Han, Wenting; Zhang, Huihui |
| 作者单位 | 1.Northwest A&F Univ, Coll Water Resources & Architectural Engn, Yangling 712100, Shaanxi, Peoples R China 2.Chinese Acad Sci, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China 3.Northwest A&F Univ, Inst Water Saving Agr Arid Areas China, Yangling 712100, Shaanxi, Peoples R China 4.Northwest A&F Univ, Coll Mech & Elect Engn, Yangling 712100, Shaanxi, Peoples R China 5.USDA ARS, Water Management & Syst Res Unit, 2150 Ctr Ave,NRRC Bldg D, Ft Collins, CO 80526 USA 6.Jiangsu Univ, Sch Agr Engn, Zhenjiang 212013, Jiangsu, Peoples R China 7.Harbin Inst Technol, Comp Sci & Technol, 92 Xidazhi St, Harbin 150001, Heilongjiang, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ma, Weitong,Han, Wenting,Zhang, Huihui,et al. UAV multispectral remote sensing for the estimation of SPAD values at various growth stages of maize under different irrigation levels[J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE,2024,227:12. |
| APA | Ma, Weitong.,Han, Wenting.,Zhang, Huihui.,Cui, Xin.,Zhai, Xuedong.,...&Huang, Shenjin.(2024).UAV multispectral remote sensing for the estimation of SPAD values at various growth stages of maize under different irrigation levels.COMPUTERS AND ELECTRONICS IN AGRICULTURE,227,12. |
| MLA | Ma, Weitong,et al."UAV multispectral remote sensing for the estimation of SPAD values at various growth stages of maize under different irrigation levels".COMPUTERS AND ELECTRONICS IN AGRICULTURE 227(2024):12. |
入库方式： OAI收割
来源：烟台海岸带研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。