These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
243 related articles for article (PubMed ID: 32530048)
21. Estimation of Corn Canopy Chlorophyll Content Using Derivative Spectra in the O Zhang X; He Y; Wang C; Xu F; Li X; Tan C; Chen D; Wang G; Shi L Front Plant Sci; 2019; 10():1047. PubMed ID: 31507626 [TBL] [Abstract][Full Text] [Related]
22. Comparison of Proximal and Remote Sensing for the Diagnosis of Crop Status in Site-Specific Crop Management. Mezera J; Lukas V; Horniaček I; Smutný V; Elbl J Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009565 [TBL] [Abstract][Full Text] [Related]
23. [MTCARI: A kind of vegetation index monitoring vegetation leaf chlorophyll content based on hyperspectral remote sensing]. Meng QY; Dong H; Qin QM; Wang JL; Zhao JH Guang Pu Xue Yu Guang Pu Fen Xi; 2012 Aug; 32(8):2218-22. PubMed ID: 23156785 [TBL] [Abstract][Full Text] [Related]
24. 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]
25. UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture. Mazzia V; Comba L; Khaliq A; Chiaberge M; Gay P Sensors (Basel); 2020 Apr; 20(9):. PubMed ID: 32365636 [TBL] [Abstract][Full Text] [Related]
26. Evaluating Leaf and Canopy Reflectance of Stressed Rice Plants to Monitor Arsenic Contamination. Bandaru V; Daughtry CS; Codling EE; Hansen DJ; White-Hansen S; Green CE Int J Environ Res Public Health; 2016 Jun; 13(6):. PubMed ID: 27322304 [TBL] [Abstract][Full Text] [Related]
27. The potential of remote sensing of cover crops to benefit sustainable and precision fertilization. Futerman SI; Laor Y; Eshel G; Cohen Y Sci Total Environ; 2023 Sep; 891():164630. PubMed ID: 37270005 [TBL] [Abstract][Full Text] [Related]
28. [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]
30. [Study on relationships between total chlorophyll with hyperspectral features for leaves of Pinus massoniana forest]. Du HQ; Ge HL; Fan WY; Jin W; Zhou YF; Li J Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Nov; 29(11):3033-7. PubMed ID: 20101980 [TBL] [Abstract][Full Text] [Related]
31. Irrigated Crop Types Mapping in Tashkent Province of Uzbekistan with Remote Sensing-Based Classification Methods. Erdanaev E; Kappas M; Wyss D Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35957240 [TBL] [Abstract][Full Text] [Related]
32. A robust vegetation index for remotely assessing chlorophyll content of dorsiventral leaves across several species in different seasons. Lu S; Lu F; You W; Wang Z; Liu Y; Omasa K Plant Methods; 2018; 14():15. PubMed ID: 29449875 [TBL] [Abstract][Full Text] [Related]
33. Crop Classification Based on Red Edge Features Analysis of GF-6 WFV Data. Kang Y; Meng Q; Liu M; Zou Y; Wang X Sensors (Basel); 2021 Jun; 21(13):. PubMed ID: 34202705 [TBL] [Abstract][Full Text] [Related]
34. Identification of Wheat Yellow Rust Using Optimal Three-Band Spectral Indices in Different Growth Stages. Zheng Q; Huang W; Cui X; Dong Y; Shi Y; Ma H; Liu L Sensors (Basel); 2018 Dec; 19(1):. PubMed ID: 30583469 [TBL] [Abstract][Full Text] [Related]
35. Estimating Chlorophyll Content of Leafy Green Vegetables from Adaxial and Abaxial Reflectance. Lu F; Bu Z; Lu S Sensors (Basel); 2019 Sep; 19(19):. PubMed ID: 31547033 [TBL] [Abstract][Full Text] [Related]
36. [Impact of Vegetation Structure on Drought Indices Based on MODIS Spectrum]. Du LT; Tian QJ; Wang L Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Apr; 35(4):982-6. PubMed ID: 26197587 [TBL] [Abstract][Full Text] [Related]
37. Integrating multiple vegetation indices via an artificial neural network model for estimating the leaf chlorophyll content of Spartina alterniflora under interspecies competition. Liu P; Shi R; Zhang C; Zeng Y; Wang J; Tao Z; Gao W Environ Monit Assess; 2017 Oct; 189(11):596. PubMed ID: 29086121 [TBL] [Abstract][Full Text] [Related]
38. Remote and field level quantification of vegetation covariates for malaria mapping in three rice agro-village complexes in Central Kenya. Jacob BG; Muturi EJ; Mwangangi JM; Funes J; Caamano EX; Muriu S; Shililu J; Githure J; Novak RJ Int J Health Geogr; 2007 Jun; 6():21. PubMed ID: 17550620 [TBL] [Abstract][Full Text] [Related]
39. [Study on the difference in canopy spectral reflectance and chlorophyll content of spring wheat at jointing stage in different land]. Jin YH; Xiong HG; Zhang F; Wang LF Guang Pu Xue Yu Guang Pu Fen Xi; 2013 Apr; 33(4):1043-7. PubMed ID: 23841425 [TBL] [Abstract][Full Text] [Related]
40. Comparing vegetation indices for remote chlorophyll measurement of white poplar and Chinese elm leaves with different adaxial and abaxial surfaces. Lu S; Lu X; Zhao W; Liu Y; Wang Z; Omasa K J Exp Bot; 2015 Sep; 66(18):5625-37. PubMed ID: 26034132 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]