134 related articles for article (PubMed ID: 38521920)
21. Retrieving rice (
Wu T; Zhang W; Wu S; Cheng M; Qi L; Shao G; Jiao X
Front Plant Sci; 2022; 13():1088499. PubMed ID: 36762179
[TBL] [Abstract][Full Text] [Related]
22. [The estimation model of rice leaf area index using hyperspectral data based on support vector machine].
Yang XH; Huang JF; Wang XZ; Wang FM
Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Aug; 28(8):1837-41. PubMed ID: 18975815
[TBL] [Abstract][Full Text] [Related]
23. Estimation of the rice aboveground biomass based on the first derivative spectrum and Boruta algorithm.
Nian Y; Su X; Yue H; Zhu Y; Li J; Wang W; Sheng Y; Ma Q; Liu J; Li X
Front Plant Sci; 2024; 15():1396183. PubMed ID: 38726299
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. Monitoring of Nitrogen Concentration in Soybean Leaves at Multiple Spatial Vertical Scales Based on Spectral Parameters.
Sun T; Li Z; Wang Z; Liu Y; Zhu Z; Zhao Y; Xie W; Cui S; Chen G; Yang W; Zhang Z; Zhang F
Plants (Basel); 2024 Jan; 13(1):. PubMed ID: 38202447
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. 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]
28. Biangular-Combined Vegetation Indices to Improve the Estimation of Canopy Chlorophyll Content in Wheat Using Multi-Angle Experimental and Simulated Spectral Data.
Kong W; Huang W; Ma L; Li C; Tang L; Guo J; Zhou X; Casa R
Front Plant Sci; 2022; 13():866301. PubMed ID: 35498698
[TBL] [Abstract][Full Text] [Related]
29. Off-Nadir Hyperspectral Sensing for Estimation of Vertical Profile of Leaf Chlorophyll Content within Wheat Canopies.
Kong W; Huang W; Casa R; Zhou X; Ye H; Dong Y
Sensors (Basel); 2017 Nov; 17(12):. PubMed ID: 29168757
[TBL] [Abstract][Full Text] [Related]
30. Rapid Estimation of Water Stress in Choy Sum (
Al Aasmi A; Alordzinu KE; Li J; Lan Y; Appiah SA; Qiao S
Sensors (Basel); 2022 Feb; 22(5):. PubMed ID: 35270842
[TBL] [Abstract][Full Text] [Related]
31. Evaluation of hyperspectral LiDAR for monitoring rice leaf nitrogen by comparison with multispectral LiDAR and passive spectrometer.
Sun J; Shi S; Gong W; Yang J; Du L; Song S; Chen B; Zhang Z
Sci Rep; 2017 Jan; 7():40362. PubMed ID: 28091610
[TBL] [Abstract][Full Text] [Related]
32. Rice Yield Estimation Based on Continuous Wavelet Transform With Multiple Growth Periods.
Gu C; Ji S; Xi X; Zhang Z; Hong Q; Huo Z; Li W; Mao W; Zhao H; Zhang R; Li B; Tan C
Front Plant Sci; 2022; 13():931789. PubMed ID: 35845632
[TBL] [Abstract][Full Text] [Related]
33. Assessing the Spectral Properties of Sunlit and Shaded Components in Rice Canopies with Near-Ground Imaging Spectroscopy Data.
Zhou K; Deng X; Yao X; Tian Y; Cao W; Zhu Y; Ustin SL; Cheng T
Sensors (Basel); 2017 Mar; 17(3):. PubMed ID: 28335375
[TBL] [Abstract][Full Text] [Related]
34. Estimating the rice nitrogen nutrition index based on hyperspectral transform technology.
Yu F; Bai J; Jin Z; Zhang H; Yang J; Xu T
Front Plant Sci; 2023; 14():1118098. PubMed ID: 37035061
[TBL] [Abstract][Full Text] [Related]
35. Utilizing Spectral, Structural and Textural Features for Estimating Oat Above-Ground Biomass Using UAV-Based Multispectral Data and Machine Learning.
Dhakal R; Maimaitijiang M; Chang J; Caffe M
Sensors (Basel); 2023 Dec; 23(24):. PubMed ID: 38139554
[TBL] [Abstract][Full Text] [Related]
36. [Identification and classification of rice leaf blast based on multi-spectral imaging sensor].
Feng L; Chai RY; Sun GM; Wu D; Lou BG; He Y
Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Oct; 29(10):2730-3. PubMed ID: 20038048
[TBL] [Abstract][Full Text] [Related]
37. Evaluating Hyperspectral Vegetation Indices for Leaf Area Index Estimation of
Din M; Zheng W; Rashid M; Wang S; Shi Z
Front Plant Sci; 2017; 8():820. PubMed ID: 28588596
[TBL] [Abstract][Full Text] [Related]
38. High-throughput analysis of leaf physiological and chemical traits with VIS-NIR-SWIR spectroscopy: a case study with a maize diversity panel.
Ge Y; Atefi A; Zhang H; Miao C; Ramamurthy RK; Sigmon B; Yang J; Schnable JC
Plant Methods; 2019; 15():66. PubMed ID: 31391863
[TBL] [Abstract][Full Text] [Related]
39. Estimation of Vertical Leaf Nitrogen Distribution Within a Rice Canopy Based on Hyperspectral Data.
He J; Zhang X; Guo W; Pan Y; Yao X; Cheng T; Zhu Y; Cao W; Tian Y
Front Plant Sci; 2019; 10():1802. PubMed ID: 32117352
[TBL] [Abstract][Full Text] [Related]
40. [Grain yield estimation of wheat-maize rotation cultivated land based on Sentinel-2 multi-spectral image: A case study in Caoxian County, Shandong, China].
Chen Y; Zhao GX; Chang CY; Wang ZR; Li YS; Zhao HS; Zhang SW; Pan JR
Ying Yong Sheng Tai Xue Bao; 2023 Dec; 34(12):3347-3356. PubMed ID: 38511374
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
