98 related articles for article (PubMed ID: 30084693)
1. [Potato Spectrum and the Digital Image Feature Parameters on the Response of the Nitrogen Level and Its Application].
He CL; Zheng SL; Wan NX; Zhao TT; Yuan JC; He W; Hu JJ
Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Sep; 36(9):2930-6. PubMed ID: 30084693
[TBL] [Abstract][Full Text] [Related]
2. [Nitrogen status diagnosis and yield prediction of spring maize after green manure incorporation by using a digital camera].
Bai JS; Cao WD; Xiong J; Zeng NH; Shimizu K; Rui YK
Guang Pu Xue Yu Guang Pu Fen Xi; 2013 Dec; 33(12):3334-8. PubMed ID: 24611398
[TBL] [Abstract][Full Text] [Related]
3. [Winter wheat GPC estimation based on leaf and canopy chlorophyll parameters].
Song XY; Wang JH; Yang GJ; Cui B; Chang H
Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Jul; 34(7):1917-21. PubMed ID: 25269308
[TBL] [Abstract][Full Text] [Related]
4. Estimation of SPAD value in waterlogged winter wheat based on characteristic indices of hyperspectral and digital image.
Gao XM; Li YL; Lu BL; Xiong QX; Wu QX; Li JF
Ying Yong Sheng Tai Xue Bao; 2021 Mar; 32(3):959-966. PubMed ID: 33754562
[TBL] [Abstract][Full Text] [Related]
5. [Application of stationary wavelet transformation to winter wheat SPAD hyperspectral monitoring].
Yao FQ; Cai HJ; Sun JW; Qiao W
Ying Yong Sheng Tai Xue Bao; 2015 Jul; 26(7):2139-45. PubMed ID: 26710643
[TBL] [Abstract][Full Text] [Related]
6. [Hyperspectral prediction model for maize leaf SPAD in the whole growth period].
Chen ZQ; Wang L; Bai YL; Yang LP; Lu YL; Wang H; Wang ZY
Guang Pu Xue Yu Guang Pu Fen Xi; 2013 Oct; 33(10):2838-42. PubMed ID: 24409746
[TBL] [Abstract][Full Text] [Related]
7. The prediction model of nitrogen nutrition in cotton canopy leaves based on hyperspectral visible-near infrared band feature fusion.
Li L; Li F; Liu A; Wang X
Biotechnol J; 2023 Aug; 18(8):e2200623. PubMed ID: 37144795
[TBL] [Abstract][Full Text] [Related]
8. [Nitrogen status diagnosis of rice by using a digital camera].
Jia LL; Fan MS; Zhang FS; Chen XP; Lü SH; Sun YM
Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Aug; 29(8):2176-9. PubMed ID: 19839333
[TBL] [Abstract][Full Text] [Related]
9. Monitoring of Chlorophyll Content of Potato in Northern Shaanxi Based on Different Spectral Parameters.
Shi H; Lu X; Sun T; Liu X; Huang X; Tang Z; Li Z; Xiang Y; Zhang F; Zhen J
Plants (Basel); 2024 May; 13(10):. PubMed ID: 38794385
[TBL] [Abstract][Full Text] [Related]
10. A Comparative Assessment of Measures of Leaf Nitrogen in Rice Using Two Leaf-Clip Meters.
Zhang K; Liu X; Ma Y; Zhang R; Cao Q; Zhu Y; Cao W; Tian Y
Sensors (Basel); 2019 Dec; 20(1):. PubMed ID: 31892258
[TBL] [Abstract][Full Text] [Related]
11. Application of a hyperspectral imaging system to quantify leaf-scale chlorophyll, nitrogen and chlorophyll fluorescence parameters in grapevine.
Yang Z; Tian J; Feng K; Gong X; Liu J
Plant Physiol Biochem; 2021 Sep; 166():723-737. PubMed ID: 34214782
[TBL] [Abstract][Full Text] [Related]
12. Effects of nitrogen application rate and leaf age on the distribution pattern of leaf SPAD readings in the rice canopy.
Yang H; Li J; Yang J; Wang H; Zou J; He J
PLoS One; 2014; 9(2):e88421. PubMed ID: 24520386
[TBL] [Abstract][Full Text] [Related]
13. Evaluation of Three Portable Optical Sensors for Non-Destructive Diagnosis of Nitrogen Status in Winter Wheat.
Jiang J; Wang C; Wang H; Fu Z; Cao Q; Tian Y; Zhu Y; Cao W; Liu X
Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34451022
[TBL] [Abstract][Full Text] [Related]
14. [Application of Hyperspectral Imaging for Visualization of Nitrogen Content in Pepper Leaf with Different Positions].
Yu KQ; Zhao YR; Li XL; Ding XB; Zhuang ZC; He Y
Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Mar; 35(3):746-50. PubMed ID: 26117891
[TBL] [Abstract][Full Text] [Related]
15. [Establishment of The Crop Growth and Nitrogen Nutrition State Model Using Spectral Parameters Canopy Cover].
Tao ZQ; Bagum SA; Ma W; Zhou BY; Fu JD; Cui RX; Sun XF; Zhao M
Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Jan; 36(1):231-6. PubMed ID: 27228773
[TBL] [Abstract][Full Text] [Related]
16. The implementation of the SPAD-502 Chlorophyll meter for the quantification of nitrogen content in Arabica coffee leaves.
Wicharuck S; Suang S; Chaichana C; Chromkaew Y; Mawan N; Soilueang P; Khongdee N
MethodsX; 2024 Jun; 12():102566. PubMed ID: 38287962
[TBL] [Abstract][Full Text] [Related]
17. Optimal Leaf Positions for SPAD Meter Measurement in Rice.
Yuan Z; Cao Q; Zhang K; Ata-Ul-Karim ST; Tian Y; Zhu Y; Cao W; Liu X
Front Plant Sci; 2016; 7():719. PubMed ID: 27303416
[TBL] [Abstract][Full Text] [Related]
18. Machine Learning Strategies for the Retrieval of Leaf-Chlorophyll Dynamics: Model Choice, Sequential Versus Retraining Learning, and Hyperspectral Predictors.
Angel Y; McCabe MF
Front Plant Sci; 2022; 13():722442. PubMed ID: 35360313
[TBL] [Abstract][Full Text] [Related]
19. Real-Time Detection on SPAD Value of Potato Plant Using an In-Field Spectral Imaging Sensor System.
Liu N; Liu G; Sun H
Sensors (Basel); 2020 Jun; 20(12):. PubMed ID: 32560546
[TBL] [Abstract][Full Text] [Related]
20. Estimation of the nitrogen content of potato plants based on morphological parameters and visible light vegetation indices.
Fan Y; Feng H; Jin X; Yue J; Liu Y; Li Z; Feng Z; Song X; Yang G
Front Plant Sci; 2022; 13():1012070. PubMed ID: 36330259
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
