NIR attribute selection for the development of vineyard water status predictive models. (May 2023)

• Record Type: Journal Article
• Authors: Marañón, Miguel; Fernández-Novales, Juan; Tardaguila, Javier; Gutiérrez, Salvador; Diago, Maria P.
• Is Part Of: Biosystems engineering. Volume 229(2023)
• Page Start: 167
• Page End: 178
• Publication Date: 2023-05
• Subjects: Grapevine -- Stem water potential -- Variable Importance in Projection scores -- Manual wavelength selection -- Interval Partial Least Squares; Bioengineering -- Periodicals; Agricultural engineering -- Periodicals; Biological systems -- Periodicals; Génie rural -- Périodiques; Systèmes biologiques -- Périodiques; 631
• DOI: 10.1016/j.biosystemseng.2023.04.001
• Languages: English
• ISSNs: 1537-5110

Abstract

Abstract : Near-Infrared spectroscopy (NIR) returns full spectra in the region between 750 and 2500 nm. Although a full spectrum provides extremely informative data, sometimes this enormous amount of detail is redundant and does not bring any additional information. In this work, different attribute selection methods for the development of vineyard water status predictive models are presented. Spectra from grapevine leaves were collected on-the-go (from a moving vehicle) along nine dates during the 2015 season in a commercial vineyard using a NIR spectrometer (1200–2100 nm). Contemporarily, the stem water potential (Ψstem ) was also measured in the monitored vines. A manual selection, based on Variable Importance in Projection scores (VIP scores) to choose the spectrum intervals including the most important wavelengths (interval selection), the locally most important wavelengths in the spectrum (peak selection), as well as the Interval Partial Least Squares (IPLS) were tested as attribute selection methods. The results obtained for the estimation of Ψstem using the whole spectrum (R 2 P = 0.84, RMSEP = 0.167 MPa) were comparable to those yielded by the three attribute selection methods: the interval selection method (R 2 P = 0.80, RMSEP = 0.186 MPa), the peak selection method (R 2 P = 0.77, RMSEP = 0.201 MPa) and the IPLS (R 2 P ∼ 0.62–0.79, RMSEP ∼ 0.186–0.252 MPa). The highest simplification was provided by two IPLS models with three wavelengths and bandwidths of 20 and 4 nm that yielded R 2 P ∼0.78 and RMSEP∼ 0.190 MPa. These results corroborate the suitability of a highly reduced selection of NIR wavelengths for the prediction of grapevine water status, and its utility to develop simpler multispectral devices for vineyard water status estimation. Graphical abstract: Image 1 Highlights: Reduced NIR spectral information yielded accurate grapevine water status estimation. Three different methods of NIR attribute selection were tested and compared. Model of 1418–1422 nm, 1496–1500 nm & 1688–1692 nm worked similar to full spectrum. NIR multispectral devices could be deployed for vineyard water status assessment.