R. Grzanna, L. Lindmark, and C. G. Frondoza, Ginger-an herbal medicinal product with broad anti-inflammatory actions, J. Med. Food, vol.8, issue.2, pp.125-132, 2005.

W. Marx, K. Ried, A. L. Mccarthy, L. Vitetta, A. Sali et al., Ginger-Mechanism of action in chemotherapy-induced nausea and vomiting: A review, Crit. Rev. Food Sci, vol.57, issue.1, pp.141-146, 2017.

H. A. Frank and R. J. Cogdell, Carotenoids in photosynthesis, Photochem. Photobio, vol.63, issue.3, pp.257-264, 1996.

K. Hura, T. Hura, and M. Grzesiak, Function of the photosynthetic apparatus of oilseed winter rape under elicitation by Phoma lingam phytotoxins in relation to carotenoid and phenolic levels, Acta. Physiol. Plant, vol.36, issue.2, pp.295-305, 2014.

J. C. García-cañedo, E. Cristiani-urbina, C. M. Flores-ortiz, T. Ponce-noyola, F. Esparza-garcía et al., Batch and fed-batch culture of Scenedesmus incrassatulus: Effect over biomass, carotenoid profile and concentration, photosynthetic efficiency and non-photochemical quenching, Algal. Res, vol.13, pp.41-52, 2016.

H. Y. Wang, A. Yang, G. M. Zhang, B. Y. Ma, F. Meng et al., Enhancement of carotenoid and bacterio chlorophyll by high salinity stress in photosynthetic bacteria, Int. Biodeter. Biodegr, vol.121, pp.91-96, 2017.

S. H. Shah, R. Houborg, and M. F. Mccabe, Response of chlorophyll, carotenoid and SPAD-502 measurement to salinity and nutrient stress in wheat (Triticum aestivum L.), Agron. J, vol.7, issue.3, p.61, 2017.

C. H. Chenard, D. A. Kopsell, and D. E. Kopsell, Nitrogen concentration affects nutrient and carotenoid accumulation in parsley, J. Plant Nutr, vol.28, pp.285-297, 2005.

B. Demmig-adams, I. Adams, and W. W. , The role of xanthophyll cycle carotenoids in the protection of photosynthesis, Trends Plant. Sci, vol.1, issue.1, pp.21-26, 1996.

W. P. Kong, W. J. Huang, X. F. Zhou, X. Y. Song, and R. Casa, Estimation of carotenoid content at the canopy scale using the carotenoid triangle ratio index from in situ and simulated hyperspectral data, J. Appl. Remote Sens, vol.10, issue.2, p.26035, 2016.

W. P. Kong, W. J. Huang, J. G. Liu, P. F. Chen, Q. M. Qin et al., Estimation of canopy carotenoid content of winter wheat using multi-angle hyperspectral data, Adv. Space Res, vol.60, issue.9, 1988.

R. Sonobe, Y. Miura, T. Sano, and H. Horie, Estimating leaf carotenoid contents of shadegrown tea using hyperspectral indices and PROSPECT-D inversion, Int. J. Remote Sens, vol.39, issue.5, pp.1306-1320, 2018.

S. R. Garrity, J. U. Eitel, and L. A. Vierling, Disentangling the relationships between plant pigments and the photochemical reflectance index reveals a new approach for remote estimation of carotenoid content, Remote Sens. Environ, vol.115, pp.628-635, 2011.

H. K. Lichtenthaler, Chlorophylls and carotenoids: pigments of photosynthetic biomembranes, Method Enzymol, vol.148, issue.34, pp.350-382, 1987.

G. A. Blackburn, Quantifying chlorophylls and caroteniods at leaf and canopy scales: an evaluation of some hyperspectral approaches, Remote Sens. Environ, vol.31, issue.2, pp.221-230, 1998.

A. A. Gitelson, Y. Zur, O. B. Chivkunova, and M. N. Merzlyak, Assessing carotenoid content in plant leaves with reflectance spectroscopy, Photochem. Photobiol, vol.75, issue.3, pp.272-281, 2002.

P. J. Zarco-tejada, A. Berjón, R. López-lozano, J. R. Miller, P. Martín et al., Assessing vineyard condition with hyperspectral indices: leaf and canopy reflectance simulation in a row-structured discontinuous canopy, Remote Sens. Environ, vol.99, issue.3, pp.271-287, 2005.

T. V. Prabhakar and P. Geetha, Two-dimensional empirical wavelet transform based supervised hyperspectral image classification, Isprs. J. Photogramm, vol.133, pp.37-45, 2017.

S. Q. Huang, Z. G. Liu, Y. T. Wang, and R. R. Wang, Wide-stripe noise removal method of hyperspectral image based on fusion of wavelet transform and local interpolation, Opt. Rev, vol.24, pp.177-187, 2017.

Y. Z. Zhang, H. Wu, X. G. Jiang, Y. Z. Jiang, Z. X. Liu et al., Land surface temperature and emissivity retrieval from field-measured hyperspectral thermal infrared data using wavelet transform, Remote Sens, vol.9, issue.5, p.454, 2017.