Evaluating the performance of xanthophyll, chlorophyll and structure-sensitive spectral indices to detect water stress in five fruit tree species
Version 2 2024-06-04, 06:48
Version 1 2017-03-19, 21:59
journal contribution
posted on 2024-06-04, 06:48 authored by Carlos Ballester LurbeCarlos Ballester Lurbe, PJ Zarco-Tejada, E Nicolás, JJ Alarcón, E Fereres, DS Intrigliolo, V Gonzalez-DugoEvaluating the performance of xanthophyll, chlorophyll and structure-sensitive spectral indices to detect water stress in five fruit tree species
History
Journal
Precision AgricultureVolume
19Pagination
178-193Location
New York, N.Y.ISSN
1385-2256eISSN
1573-1618Language
EnglishPublication classification
C Journal article, C1 Refereed article in a scholarly journalCopyright notice
2017, Springer Science+Business Media New YorkIssue
1Publisher
SPRINGERUsage metrics
Keywords
Science & TechnologyLife Sciences & BiomedicineAgriculture, MultidisciplinaryAgricultureFruit cropMultispectral imageryRemote sensingWater stress detectionDEFICIT IRRIGATIONAIRBORNE IMAGERYPRIAGRICULTURETEMPERATUREINDICATORSPREDICTIONPLANTUAVCentre for Regional and Rural Futures070199 Agriculture, Land and Farm Management not elsewhere classified070108 Sustainable Agricultural Development3002 Agriculture, land and farm management
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