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2018 Vol.36, Issue 6 Preview Page

Research Article

31 December 2018. pp. 831-840
Abstract
References
1
Apan A, Held A, Phinn S, Markley J (2004) Detecting sugarcane ‘orange rust’ disease using EO-1 Hyperion hyperspectral imagery. Int J Remote Sens 25:489-498. doi:10.1080/01431160310001618031
2
Behmann J, Steinrücken J, Plümer L (2014) Detection of early plant stress responses in hyperspectral images. ISPRS J Photogramm Remote Sens 93:98-111. doi:10.1016/j.isprsjprs.2014.03.016
3
Bresson J, Vasseur F, Dauzat M, Koch G, Granier C, Vile D (2015) Quantifying spatial heterogeneity of chlorophyll fluorescence during plant growth and in response to water stress. Plant Methods 11:23. doi:10.1186/s13007-015-0067-5
4
Carter GA (1991) Primary and secondary effects of water content on the spectral reflectance of leaves. Am J Bot 78:916-924. doi:10.2307/2445170
5
Curran PJ (1989) Remote sensing of foliar chemistry. Remote Sens Environ 30:271–278. doi:10.1016/0034-4257(89)90069-2
6
Eitel JU, Gessler PE, Smith AM, Robberecht R (2006) Suitability of existing and novel spectral indices to remotely detect water stress in Populus spp. For Ecol Manag 229:170-182. doi:10.1016/j.foreco.2006.03.027
7
Gao BC, Goetz AFH (1990) Column atmospheric water vapor and vegetation liquid water retrievals from airborne imaging spectrometer data. J Geophys Res Atoms 95:3549–3564. doi:10.1029/JD095iD04p03549
8
Han M, Zhang H, DeJonge KC, Comas LH, Trout TJ (2016) Estimating maize water stress by standard deviation of canopy temperature in thermal imagery. Agric Water Manag 177:400-409. doi:10.1016/j.agwat.2016.08.031
9
Hazrati S, Tahmasebi-Sarvestani Z, Modarres-Sanavy SAM, Mokhtassi-Bidgoli A, Nicola S (2016) Effects of water stress and light intensity on chlorophyll fluorescence parameters and pigments of Aloe vera L. Plant Physiol Biochem 106:141-148. doi:10.1016/j.plaphy.2016.04.046
10
Jones CD, Jones JB, Lee WS (2010) Diagnosis of bacterial spot of tomato using spectral signatures. Comput Electron Agric 74:329-335. doi:10.1016/j.compag.2010.09.008
11
Kim YH (1996) Effects of air temperature, relative humidity and photosynthetic photon flux on the evapotranspiration rate of grafted seedlings under artificial lighting. In C Kubota, C Chun, eds, Transplant production in the 21st century. Kluwer Academic Publishers, Dordrecht, The Netherlands, pp 91-97
12
Lichtenthaler HK, Babani F (2000) Detection of photosynthetic activity and water stress by imaging the red chlorophyll fluorescence. Plant Physiol Biochem 38:889-895. doi:10.1016/S0981-9428(00)01199-2
13
Lobell DB, Asner GP (2002) Moisture effects on soil reflectance. Soil Sci Soc Am J 66:722-727. doi:10.2136/sssaj2002.7220
14
Mangus DL, Sharda A, Zhang N (2016) Development and evaluation of thermal infrared imaging system for high spatial and temporal resolution crop water stress monitoring of corn within a greenhouse. Comput Electron Agric 121:149-159. doi:10.1016/j.compag. 2015.12.007
15
Martynenko A, Shotton K, Astatkie T, Petrash G, Fowler C, Neily W, Critchley AT (2016) Thermal imaging of soybean response to drought stress: the effect of Ascophyllum nodosum seaweed extract. SpringerPlus 5:1393. doi:10.1186/s40064-016-3019-2
16
Min M, Lee WS (2005) Determination of significant wavelengths and prediction of nitrogen content for citrus. Trans ASAE 48:455-461. doi:10.13031/2013.18308
17
Mishra P, Asaari MSM, Langreo AH, Lohumi S, Diezma B, Scheunders P (2017) Close range hyperspectral imaging of plants: A review. Biosyst Eng 164:49-67. doi:10.1016/j.biosystemseng.2017.09.009
18
Osten DW (1988) Selection of optimal regression models via cross-validation. J Chemometr 2:39-48. doi:10.1002/cem.1180020106
19
Park ES, Cho BK (2014) Development of drought stress measurement method for red pepper leaves using hyperspectral short wave infrared imaging technique. Protected Hort Plant Fac 23:50-55 (in Korean). doi:10.12791/ksbec.2014.23.1.050
20
Santesteban LG, Di Gennaro SF, Herrero-Langreo A, Mranda C, Royo JB, Matese A (2017) High-resolution UAV-based thermal imaging to estimate the instantaneous and seasonal variability of plant water status within a vineyard. Agric Water Manag 183:49-59. doi:10.1016/j.agwat.2016.08.026
21
Yuan L, Huang Y, Loraamm RW, Nie C, Wang J, Zhang J (2014) Spectral analysis of winter wheat leaves for detection and differentiation of diseases and insects. Field Crops Res 156:199-207. doi:10.1016/j.fcr.2013.11.012
Information
  • Publisher :KOREAN SOCIETY FOR HORTICULTURAL SCIENCE
  • Publisher(Ko) :한국원예학회
  • Journal Title :Horticultural Science and Technology
  • Journal Title(Ko) :원예과학기술지
  • Volume : 36
  • No :6
  • Pages :831-840
  • Received Date : 2018-06-29
  • Revised Date : 2018-10-01
  • Accepted Date : 2018-09-08