124 related articles for article (PubMed ID: 37575912)
1. Abundance considerations for modeling yield of rapeseed at the flowering stage.
Li Y; Yuan N; Luo S; Yang K; Fang S; Peng Y; Gong Y
Front Plant Sci; 2023; 14():1188216. PubMed ID: 37575912
[TBL] [Abstract][Full Text] [Related]
2. Remote estimation of rapeseed yield with unmanned aerial vehicle (UAV) imaging and spectral mixture analysis.
Gong Y; Duan B; Fang S; Zhu R; Wu X; Ma Y; Peng Y
Plant Methods; 2018; 14():70. PubMed ID: 30151031
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Maize Crop Coefficient Estimated from UAV-Measured Multispectral Vegetation Indices.
Zhang Y; Han W; Niu X; Li G
Sensors (Basel); 2019 Nov; 19(23):. PubMed ID: 31795309
[TBL] [Abstract][Full Text] [Related]
5. Remote Estimation of Rice Yield With Unmanned Aerial Vehicle (UAV) Data and Spectral Mixture Analysis.
Duan B; Fang S; Zhu R; Wu X; Wang S; Gong Y; Peng Y
Front Plant Sci; 2019; 10():204. PubMed ID: 30873194
[TBL] [Abstract][Full Text] [Related]
6. Phenotyping Flowering in Canola (
Zhang T; Vail S; Duddu HSN; Parkin IAP; Guo X; Johnson EN; Shirtliffe SJ
Front Plant Sci; 2021; 12():686332. PubMed ID: 34220907
[TBL] [Abstract][Full Text] [Related]
7. Rice Yield Estimation Using Parcel-Level Relative Spectral Variables From UAV-Based Hyperspectral Imagery.
Wang F; Wang F; Zhang Y; Hu J; Huang J; Xie J
Front Plant Sci; 2019; 10():453. PubMed ID: 31024607
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. A rapid monitoring of NDVI across the wheat growth cycle for grain yield prediction using a multi-spectral UAV platform.
Hassan MA; Yang M; Rasheed A; Yang G; Reynolds M; Xia X; Xiao Y; He Z
Plant Sci; 2019 May; 282():95-103. PubMed ID: 31003615
[TBL] [Abstract][Full Text] [Related]
10. Estimation of Peanut Leaf Area Index from Unmanned Aerial Vehicle Multispectral Images.
Qi H; Zhu B; Wu Z; Liang Y; Li J; Wang L; Chen T; Lan Y; Zhang L
Sensors (Basel); 2020 Nov; 20(23):. PubMed ID: 33255612
[TBL] [Abstract][Full Text] [Related]
11. Combining Unmanned Aerial Vehicle (UAV)-Based Multispectral Imagery and Ground-Based Hyperspectral Data for Plant Nitrogen Concentration Estimation in Rice.
Zheng H; Cheng T; Li D; Yao X; Tian Y; Cao W; Zhu Y
Front Plant Sci; 2018; 9():936. PubMed ID: 30034405
[TBL] [Abstract][Full Text] [Related]
12. [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]
13. Combining spectral and wavelet texture features for unmanned aerial vehicles remote estimation of rice leaf area index.
Zhou C; Gong Y; Fang S; Yang K; Peng Y; Wu X; Zhu R
Front Plant Sci; 2022; 13():957870. PubMed ID: 35991436
[TBL] [Abstract][Full Text] [Related]
14. Improving the estimation of rice above-ground biomass based on spatio-temporal UAV imagery and phenological stages.
Dai Y; Yu S; Ma T; Ding J; Chen K; Zeng G; Xie A; He P; Peng S; Zhang M
Front Plant Sci; 2024; 15():1328834. PubMed ID: 38774220
[TBL] [Abstract][Full Text] [Related]
15. Yield and leaf area index estimations for sunflower plants using unmanned aerial vehicle images.
Tunca E; Köksal ES; Çetin S; Ekiz NM; Balde H
Environ Monit Assess; 2018 Oct; 190(11):682. PubMed ID: 30374821
[TBL] [Abstract][Full Text] [Related]
16. Estimation of Nitrogen Nutrition Status in Winter Wheat From Unmanned Aerial Vehicle Based Multi-Angular Multispectral Imagery.
Lu N; Wang W; Zhang Q; Li D; Yao X; Tian Y; Zhu Y; Cao W; Baret F; Liu S; Cheng T
Front Plant Sci; 2019; 10():1601. PubMed ID: 31921250
[TBL] [Abstract][Full Text] [Related]
17. Non-destructive monitoring of maize LAI by fusing UAV spectral and textural features.
Sun X; Yang Z; Su P; Wei K; Wang Z; Yang C; Wang C; Qin M; Xiao L; Yang W; Zhang M; Song X; Feng M
Front Plant Sci; 2023; 14():1158837. PubMed ID: 37063231
[TBL] [Abstract][Full Text] [Related]
18. Ramie Yield Estimation Based on UAV RGB Images.
Fu H; Wang C; Cui G; She W; Zhao L
Sensors (Basel); 2021 Jan; 21(2):. PubMed ID: 33477949
[TBL] [Abstract][Full Text] [Related]
19. High-Throughput Phenotyping of Bioethanol Potential in Cereals Using UAV-Based Multi-Spectral Imagery.
Ostos-Garrido FJ; de Castro AI; Torres-Sánchez J; Pistón F; Peña JM
Front Plant Sci; 2019; 10():948. PubMed ID: 31396251
[TBL] [Abstract][Full Text] [Related]
20. Unmanned aerial systems-based remote sensing for monitoring sorghum growth and development.
Shafian S; Rajan N; Schnell R; Bagavathiannan M; Valasek J; Shi Y; Olsenholler J
PLoS One; 2018; 13(5):e0196605. PubMed ID: 29715311
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]