Measurements and analysis of water content in winter wheat leaf based on terahertz spectroscopy
Keywords:
terahertz spectroscopy, winter wheat, gravimetric water content (GWC), partial least squares methodAbstract
Wheat is a major grain crop in China. Water is one of the most important factors which influence the lifecycle and yield of wheat. It is of great significance to study the water content at the key stages of wheat growth in order to make irrigation decision to raise its yield. As Terahertz (THz) spectroscopy is a brand new sensing technology and sensitive to water absorption, the relationship between terahertz spectra and water content in winter wheat leaf was investigated and a preliminary result was presented in this paper. Forty winter wheat leaves samples with diverse range of water content (42.8%-72.5%) were collected. The Terahertz time domain spectra (THz-TDS) were first obtained and then transformed into Frequency-domain amplitude with the Fast Fourier Transformation (FFT) method. The absorption and refractive index spectra were then calculated. The spectra were linearly fitted to obtain the slope and intercept used for building a calibration model. The partial least squares (PLS) method and linear regression were employed to establish models to determine leaf water content in the winter wheat. The predicted correlation coefficient and the root mean square error of the optimal model established with the Frequency-domain amplitude parameter at 0.3 THz by linear regression were 0.812% and 4.4%, respectively. The results showed that terahertz spectroscopy performed well in water content prediction and could be an effective and potential method for leaf water content measurement in winter wheat. Keywords: terahertz spectroscopy, winter wheat, gravimetric water content (GWC), partial least squares method DOI: 10.25165/j.ijabe.20181103.3520 Citation: Li B, Long Y, Yang H. Measurements and analysis of water content in winter wheat leaf based on terahertz spectroscopy. Int J Agric & Biol Eng, 2018; 11(3): 178–182.References
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[2] Wu Y, Huang M, Gallichand J. Transpirational response to water availability for winter wheat as affected by soil textures. Agricultural Water Management, 2011; 98: 569–576.
[3] Shahbaz K, Munir A H, Mu J X. Water management and crop production for food security in China: a review. Agric. Water Manage, 2009; 96: 349–360.
[4] Varga B, Vida G, Varga-Laszlo E, Bencze S, Veisz O. Effect of simulating drought in various phenophases on the water use efficiency of winter wheat. J Agro Crop Sci, 2015; 201: 1–9.
[5] Jin L, Li Y, Xu D, Guo J, Zhang B. Spectroscopy diagnostics of water content and greenness features in wheat leaf. Chinese Journal of Agrometeorology, 2012; 33: 124–128. (in Chinese)
[6] Rossini M, Fava F, Cogliati S, Meroni M, Marchesi A, Panigada C, et al. Assessing canopy PRI from airborne imagery to map water stress in maize. ISPRS Journal of Photogrammetry and Remote Sensing, 2013; 86: 168–177.
[7] Liu S, Peng Y, Du W, Le Y, Li L. Remote estimation of leaf and canopy water content in winter wheat with different vertical distribution of water-related properties. Remote Sensing, 2015; 7: 4626–4650.
[8] Guo Y, Tan J L. A biophotonic sensing method for plant drought stress. Sensors and Actuators B: Chemical, 2013; 188: 519–524.
[9] Guo Y, Tan J L. Recent advances in the application of chlorophyll a fluorescence from photosystem II. Photochemistry and photobiology, 2015; 91(1): 1–14.
[10] Guo Y, Tan J L. Modeling and simulation of the initial phases of chlorophyll fluorescence from Photosystem II. BioSystems, 2011; 103(2): 152–157.
[11] Jones H G. Irrigation scheduling: advantages and pitfalls of plant-based methods. J. Exp. Bot., 2004; 55(407): 2427–2436.
[12] Ge H, Jiang Y, Lian F, Zhang Y, Xia S. Characterization of wheat varieties using terahertz time-domain spectroscopy. Sensors, 2015; 15: 12560–12572.
[13] Qin J, Ying Y, Xie L. The detection of agricultural products and food using terahertz spectroscopy: a review. Applied Spectroscopy Reviews, 2013; 48: 439–457.
[14] Federici J F. Review of moisture and liquid detection and mapping using terahertz imaging. J Infrared Milli Terahertz Waves, 2012; 33: 97–126.
[15] Jördens C; Scheller M.; Breitenstein B, Selmar D, Koch M. Evaluation of leaf water status by means of permittivity at terahertz frequencies. J Biol Phys., 2009; 35: 255–264.
[16] Castro-Camus, E.; Palomar, M.; Covarrubias, A. A. Leaf water dynamics of Arabidopsis thaliana monitored in-vivo using terahertz time-domain spectroscopy. Scientific Reports, 2013; 9: 1–4.
[17] Santesteban L G, Palacios I, Miranda C, Iriarte J C, Royo J B, Gonzalo R. Terahertz time domain spectroscopy allows contactless monitoring of grapevine water status. Frontiers in Plant Science, 2015; 6: 1–8.
[18] Ge H, Jiang Y, Xu Z, Lian F, Zhang Y, Xia S. Identification of wheat quality using THz spectrum. Optics Express, 2014; 22: 12533–12544.
[19] Seelig H D, Hoehn A, Stodieck L S, Klaus D M, Adams III W W, Emery W J. The assessment of leaf water content using leaf reflectance ratios in the visible, near-, and short- wave-infrared. International Journal of Remote Sensing, 2008; 29: 3701–3713.
[20] Breitenstein B, Scheller M, Shakfa M K, Kinder T, Muller-Wirts T, Koch M, et al. Introducing terahertz technology into plant biology: A novel method to monitor changes in leaf water status. Journal of Applied Botany and Food Quality, 2011; 84: 158–161.
[21] Qin J, Xie L, Ying Y. Determination of tetracycline hydrochloride by terahertz spectroscopy with PLSR model. Food Chemistry, 2015; 170: 415–422.
[22] Fan S, Huang W, Guo Z, Zhang B, Zhao C. Prediction of soluble solids content and firmness of pears using hyperspectral reflectance imaging. Food Anal. Methods, 2015; 8: 1936–1946.
[23] Altman N, Krzywinski M. Simple linear regression. Nature Methods, 2015; 12: 999–1000.
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Published
2018-06-01
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Li, B., Long, Y., & Yang, H. (2018). Measurements and analysis of water content in winter wheat leaf based on terahertz spectroscopy. International Journal of Agricultural and Biological Engineering, 11(3), 178–182. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/3520
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Information Technology, Sensors and Control Systems
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