270 related articles for article (PubMed ID: 32102358)
1. Estimation of the Yield and Plant Height of Winter Wheat Using UAV-Based Hyperspectral Images.
Tao H; Feng H; Xu L; Miao M; Yang G; Yang X; Fan L
Sensors (Basel); 2020 Feb; 20(4):. PubMed ID: 32102358
[TBL] [Abstract][Full Text] [Related]
2. Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning.
Sun C; Feng L; Zhang Z; Ma Y; Crosby T; Naber M; Wang Y
Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32947919
[TBL] [Abstract][Full Text] [Related]
3. Combining spectral and texture feature of UAV image with plant height to improve LAI estimation of winter wheat at jointing stage.
Zou M; Liu Y; Fu M; Li C; Zhou Z; Meng H; Xing E; Ren Y
Front Plant Sci; 2023; 14():1272049. PubMed ID: 38235191
[TBL] [Abstract][Full Text] [Related]
4. Plant phenomics & precision agriculture simulation of winter wheat growth by the assimilation of unmanned aerial vehicle imagery into the WOFOST model.
Yang T; Zhang W; Zhou T; Wu W; Liu T; Sun C
PLoS One; 2021; 16(10):e0246874. PubMed ID: 34624043
[TBL] [Abstract][Full Text] [Related]
5. Integrated Satellite, Unmanned Aerial Vehicle (UAV) and Ground Inversion of the SPAD of Winter Wheat in the Reviving Stage.
Zhang S; Zhao G; Lang K; Su B; Chen X; Xi X; Zhang H
Sensors (Basel); 2019 Mar; 19(7):. PubMed ID: 30934683
[TBL] [Abstract][Full Text] [Related]
6. UAV-based hyperspectral analysis and spectral indices constructing for quantitatively monitoring leaf nitrogen content of winter wheat.
Zhu H; Liu H; Xu Y; Guijun Y
Appl Opt; 2018 Sep; 57(27):7722-7732. PubMed ID: 30462034
[TBL] [Abstract][Full Text] [Related]
7. Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods.
Zhang J; Cheng T; Guo W; Xu X; Qiao H; Xie Y; Ma X
Plant Methods; 2021 May; 17(1):49. PubMed ID: 33941211
[TBL] [Abstract][Full Text] [Related]
8. Hyperspectral prediction of leaf area index of winter wheat in irrigated and rainfed fields.
Li G; Wang C; Feng M; Yang W; Li F; Feng R
PLoS One; 2017; 12(8):e0183338. PubMed ID: 28817658
[TBL] [Abstract][Full Text] [Related]
9. [Band depth analysis and partial least square regression based winter wheat biomass estimation using hyperspectral measurements].
Fu YY; Wang JH; Yang GJ; Song XY; Xu XG; Feng HK
Guang Pu Xue Yu Guang Pu Fen Xi; 2013 May; 33(5):1315-9. PubMed ID: 23905343
[TBL] [Abstract][Full Text] [Related]
10. Comparing methods for estimating leaf area index by multi-angular remote sensing in winter wheat.
He L; Ren X; Wang Y; Liu B; Zhang H; Liu W; Feng W; Guo T
Sci Rep; 2020 Aug; 10(1):13943. PubMed ID: 32811882
[TBL] [Abstract][Full Text] [Related]
11. Above-Ground Biomass Estimation in Oats Using UAV Remote Sensing and Machine Learning.
Sharma P; Leigh L; Chang J; Maimaitijiang M; Caffé M
Sensors (Basel); 2022 Jan; 22(2):. PubMed ID: 35062559
[TBL] [Abstract][Full Text] [Related]
12. [Development of citrus yield prediction model based on airborne hyperspectral imaging].
Ye XJ; Kenshi S; He Y
Guang Pu Xue Yu Guang Pu Fen Xi; 2010 May; 30(5):1295-300. PubMed ID: 20672621
[TBL] [Abstract][Full Text] [Related]
13. Estimating growth and photosynthetic properties of wheat grown in simulated saline field conditions using hyperspectral reflectance sensing and multivariate analysis.
El-Hendawy S; Al-Suhaibani N; Alotaibi M; Hassan W; Elsayed S; Tahir MU; Mohamed AI; Schmidhalter U
Sci Rep; 2019 Nov; 9(1):16473. PubMed ID: 31712701
[TBL] [Abstract][Full Text] [Related]
14. [LAI-based regional winter wheat yield estimation by remote sensing].
Ren JQ; Chen ZX; Zhou QB; Tang HJ
Ying Yong Sheng Tai Xue Bao; 2010 Nov; 21(11):2883-8. PubMed ID: 21361014
[TBL] [Abstract][Full Text] [Related]
15. Inversion of winter wheat leaf area index from UAV multispectral images: classical vs. deep learning approaches.
Zu J; Yang H; Wang J; Cai W; Yang Y
Front Plant Sci; 2024; 15():1367828. PubMed ID: 38550285
[TBL] [Abstract][Full Text] [Related]
16. Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data.
Tao H; Feng H; Xu L; Miao M; Long H; Yue J; Li Z; Yang G; Yang X; Fan L
Sensors (Basel); 2020 Feb; 20(5):. PubMed ID: 32120958
[TBL] [Abstract][Full Text] [Related]
17. [Comparison of precision in retrieving soybean leaf area index based on multi-source remote sensing data].
Gao L; Li CC; Wang BS; Yang Gui-jun ; Wang L; Fu K
Ying Yong Sheng Tai Xue Bao; 2016 Jan; 27(1):191-200. PubMed ID: 27228609
[TBL] [Abstract][Full Text] [Related]
18. Inversion of Winter Wheat Growth Parameters and Yield Under Different Water Treatments Based on UAV Multispectral Remote Sensing.
Han X; Wei Z; Chen H; Zhang B; Li Y; Du T
Front Plant Sci; 2021; 12():609876. PubMed ID: 34093601
[TBL] [Abstract][Full Text] [Related]
19. Detection of powdery mildew in two winter wheat plant densities and prediction of grain yield using canopy hyperspectral reflectance.
Cao X; Luo Y; Zhou Y; Fan J; Xu X; West JS; Duan X; Cheng D
PLoS One; 2015; 10(3):e0121462. PubMed ID: 25815468
[TBL] [Abstract][Full Text] [Related]
20. Phenotyping of Plant Biomass and Performance Traits Using Remote Sensing Techniques in Pea (
Quirós Vargas JJ; Zhang C; Smitchger JA; McGee RJ; Sankaran S
Sensors (Basel); 2019 Apr; 19(9):. PubMed ID: 31052251
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]