WATER STATUS EVALUATION OF MAIZE CULTIVARS USING AERIAL IMAGES

被引:2
作者
De Andrade Junior, Aderson Soares [1 ]
Bastos, Edson Alves [1 ]
Ferreira De Sousa, Carlos Antonio [1 ]
Das Chagas Noqueli Casari, Raphael Augusto [2 ]
Nunes Rodrigues, Braz Henrique [3 ]
机构
[1] Embrapa Meio Norte, Teresina, PI, Brazil
[2] Embrapa Agroenergia, Brasilia, DF, Brazil
[3] Embrapa Meio Norte, Unidade Execucao Pesquisa, Parnaiba, PI, Brazil
关键词
Zea mays L; ARP; Remote sensing; RGB imagens; STRESS INDEX; THERMOGRAPHY; TEMPERATURE;
D O I
10.1590/1983-21252021v34n219rc
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The objective of this study was to evaluate the water status of maize cultivars through thermal and vegetation indexes generated from multispectral aerial images obtained from an unmanned aerial vehicle (UAV), and correlate them with physiological indicators and soil water contents. The application of three water regimes based on the reference evapotranspiration (ETo) (30%, 90%, and 150% ETo) was evaluated for two maize cultivars (AG-1051 and BRS-Caatingueiro). An UAV was used to acquire thermal and multispectral images. The indexes evaluated were CWSI, CI-G, CI-RE, CIV, NDVI and OSAVI, which were correlated with gas exchange and soil moisture measures. The CWSI present correlation with physiological indicators (stomatal conductance, transpiration, and net CO2 assimilation rate) that can be used to evaluate water status of maize plants. The multispectral vegetation indexes NDVI and OSAVI can replace the CWSI thermal index in water status evaluations for maize plants.
引用
收藏
页码:432 / 442
页数:11
相关论文
共 44 条
[21]  
Gitelson AA, 2003, GEOPHYS RES LETT, V30, DOI [10.1029/2002GL016450, 10.1029/2002GL016543]
[22]   NORMALIZING THE STRESS-DEGREE-DAY PARAMETER FOR ENVIRONMENTAL VARIABILITY [J].
IDSO, SB ;
JACKSON, RD ;
PINTER, PJ ;
REGINATO, RJ ;
HATFIELD, JL .
AGRICULTURAL METEOROLOGY, 1981, 24 (01) :45-55
[23]  
Li HeLi Li HeLi, 2013, Transactions of the Chinese Society of Agricultural Engineering, V29, P118
[24]   Maize leaf temperature responses to drought: Thermal imaging and quantitative trait loci (QTL) mapping [J].
Liu, Ya ;
Subhash, Chander ;
Yan, Jianbin ;
Song, Chunpeng ;
Zhao, Jiuran ;
Li, Jiansheng .
ENVIRONMENTAL AND EXPERIMENTAL BOTANY, 2011, 71 (02) :158-165
[25]  
MARTINS J. D., 2010, THESIS
[26]  
MELO F. B., 2004, DOCUMENTOS, V89
[27]  
Bianchi Cleusa Adriane Menegassi, 2007, Cienc. Rural, V37, P315, DOI 10.1590/S0103-84782007000200004
[28]   Automatic detection of crop rows in maize fields with high weeds pressure [J].
Montalvo, M. ;
Pajares, G. ;
Guerrero, J. M. ;
Romeo, J. ;
Guijarro, M. ;
Ribeiro, A. ;
Ruz, J. J. ;
Cruz, J. M. .
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (15) :11889-11897
[29]   GROWTH, WATER-USE, AND KERNEL ABORTION OF MAIZE SUBJECTED TO DROUGHT AT SILKING [J].
OTEGUI, ME ;
ANDRADE, FH ;
SUERO, EE .
FIELD CROPS RESEARCH, 1995, 40 (02) :87-94
[30]   THRESHOLD SELECTION METHOD FROM GRAY-LEVEL HISTOGRAMS [J].
OTSU, N .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1979, 9 (01) :62-66