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Journal Abstract Search
130 related items for PubMed ID: 24723817
1. Use of a digital camera to monitor the growth and nitrogen status of cotton. Jia B, He H, Ma F, Diao M, Jiang G, Zheng Z, Cui J, Fan H. ScientificWorldJournal; 2014; 2014():602647. PubMed ID: 24723817 [Abstract] [Full Text] [Related]
2. [Estimation of dry matter accumulation in above-ground part of cotton by means of canopy reflectance spectra]. Zhu Y, Wu HB, Tian YC, Yao X, Zhou ZG, Cao WX. Ying Yong Sheng Tai Xue Bao; 2008 Jan; 19(1):105-9. PubMed ID: 18419080 [Abstract] [Full Text] [Related]
4. A novel approach for nitrogen diagnosis of wheat canopies digital images by mobile phones based on histogram. Qi X, Zhao Y, Huang Y, Wang Y, Qin W, Fu W, Guo Y, Ye Y. Sci Rep; 2021 Jun 21; 11(1):13012. PubMed ID: 34155294 [Abstract] [Full Text] [Related]
5. [Estimation of nitrogen concentration in cotton leaf based on canopy reflectance spectra]. Zhu Y, Wu HB, Tian YC, Yao X, Liu XJ, Zhou ZG, Cao WX. Ying Yong Sheng Tai Xue Bao; 2007 Oct 21; 18(10):2263-8. PubMed ID: 18163308 [Abstract] [Full Text] [Related]
6. Light spatial distribution in the canopy and crop development in cotton. Zhi X, Han Y, Mao S, Wang G, Feng L, Yang B, Fan Z, Du W, Lu J, Li Y. PLoS One; 2014 Oct 21; 9(11):e113409. PubMed ID: 25409026 [Abstract] [Full Text] [Related]
8. Multispectral imaging and unmanned aerial systems for cotton plant phenotyping. Xu R, Li C, Paterson AH. PLoS One; 2019 Oct 21; 14(2):e0205083. PubMed ID: 30811435 [Abstract] [Full Text] [Related]
9. Improving the monitoring of root zone soil salinity under vegetation cover conditions by combining canopy spectral information and crop growth parameters. Shi X, Song J, Wang H, Lv X, Tian T, Wang J, Li W, Zhong M, Jiang M. Front Plant Sci; 2023 Oct 21; 14():1171594. PubMed ID: 37469774 [Abstract] [Full Text] [Related]
11. Using a Portable Active Sensor to Monitor Growth Parameters and Predict Grain Yield of Winter Wheat. Zhang J, Liu X, Liang Y, Cao Q, Tian Y, Zhu Y, Cao W, Liu X. Sensors (Basel); 2019 Mar 05; 19(5):. PubMed ID: 30841552 [Abstract] [Full Text] [Related]
13. Estimation of a New Canopy Structure Parameter for Rice Using Smartphone Photography. Yu Z, Ustin SL, Zhang Z, Liu H, Zhang X, Meng X, Cui Y, Guan H. Sensors (Basel); 2020 Jul 19; 20(14):. PubMed ID: 32707649 [Abstract] [Full Text] [Related]
15. How do cotton light interception and carbohydrate partitioning respond to cropping systems including monoculture, intercropping with wheat, and direct-seeding after wheat? Zhi X, Han Y, Xing F, Lei Y, Wang G, Feng L, Yang B, Wang Z, Li X, Xiong S, Fan Z, Li Y. PLoS One; 2019 Jul 19; 14(5):e0217243. PubMed ID: 31107925 [Abstract] [Full Text] [Related]
19. Modelling the structural response of cotton plants to mepiquat chloride and population density. Gu S, Evers JB, Zhang L, Mao L, Zhang S, Zhao X, Liu S, van der Werf W, Li Z. Ann Bot; 2014 Sep 19; 114(4):877-87. PubMed ID: 24489020 [Abstract] [Full Text] [Related]
20. [Forest canopy leaf area index in Maoershan Mountain: ground measurement and remote sensing retrieval]. Zhu GL, Ju WM, Jm C, Fan WY, Zhou YL, Li XF, Li MZ. Ying Yong Sheng Tai Xue Bao; 2010 Aug 19; 21(8):2117-24. PubMed ID: 21043124 [Abstract] [Full Text] [Related] Page: [Next] [New Search]