Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Hyperspectral Imaging to Evaluate the Effect of IrrigationWater Salinity in Lettuce
Year:2017
Research Areas
  • Agriculture
Information
Abstract
Salinity is one of the most important stress factors in crop production, particularly in arid regions. This research focuses on the effect of salinity on the growth of lettuce plants; three solutions with different levels of salinity were considered and compared (S1 = 50, S2 = 100 and S3 = 150 mM NaCl) with a control solution (Ct = 0 mM NaCl). The osmotic potential and water content of the leaves were measured, and hyperspectral images of the surfaces of 40 leaves (10 leaves per treatment) were taken after two weeks of growth. The mean spectra of the leaves (n = 32,000) were pre-processed by means of a Savitzky?Golay algorithm and standard normal variate normalization. Principal component analysis was then performed on a calibration set of 28 mean spectra, yielding an initial model for salinity effect detection. A second model was subsequently proposed based on an index computing an approximation to the second derivative at the red edge region. Both models were applied to all the hyperspectral images to obtain the corresponding artificial images, distinguishing between the 28 that were used to extract the calibration mean spectra and the rest that constituted an external validation. Those virtual images were studied using analysis of variance in order to compare their ability for detecting salinity effects on the leaves. Both models showed significant differences between each salinity level, and the hyperspectral images allowed observations of the distribution of the salinity effects on the leaf surfaces, which were more intense in the areas distant from the veins. However, the index-based model is simpler and easier to apply because it is based solely on the reflectance at three different wavelengths, thus allowing for the implementation of less expensive multispectral devices
International
No
JCR
No
Title
Applied Sciences
ISBN
1454-5101
Impact factor JCR
Impact info
Volume
Journal number
6, 412
From page
1
To page
18
Month
SIN MES
Ranking
Participants
  • Autor: Miguel Angel Lara Blas (UPM)
  • Autor: Lourdes Lleo Garcia (UPM)
  • Autor: Margarita Ruiz Altisent (UPM)
  • Autor: Jean Michel Roger (IRSTEA,)
  • Autor: Belen Diezma Iglesias (UPM)
  • Autor: Yolanda Garrido (CEBAS-CSIC,)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: LPF-TAGRALIA: Técnicas Avanzadas en Agroalimentación
  • Departamento: Ingeniería Agroforestal
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)