Potential effectiveness of visible and near infrared spectroscopy coupled with wavelength selection for real time grapevine leaf water status measurement

2017 ◽  
Vol 98 (5) ◽  
pp. 1935-1943 ◽  
Author(s):  
Valentina Giovenzana ◽  
Roberto Beghi ◽  
Simone Parisi ◽  
Lucio Brancadoro ◽  
Riccardo Guidetti
Keyword(s):  
Infrared Spectroscopy ◽  
Real Time ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Water Status ◽  
Leaf Water ◽  
Wavelength Selection ◽  
Leaf Water Status ◽  
Potential Effectiveness ◽  
Selection For

scholarly journals Grapevine leaf water potential based upon near infrared spectroscopy

2009 ◽  
Vol 66 (3) ◽  
pp. 287-292 ◽  
Author(s):  
Antonio Odair Santos ◽  
Oren Kaye
Keyword(s):  
Infrared Spectroscopy ◽  
Water Potential ◽  
Leaf Water Potential ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Water Status ◽  
Correlation Coefficients ◽  
Pressure Chamber ◽  
Leaf Water ◽  
Intensive Sampling

Leaf water potential is a measure commonly used to describe crop water status and water stress dynamics. The established method for determining leaf water potential using a pressure chamber is cumbersome and subject to operator error as well as time/temperature limitations. These limitations prohibit the intensive sampling required to support proactive water management of commercial crops, including vineyards. Particular for grapevines there is need for faster, more precise and more reliable tools for determining leaf water potential in the field. Portable Near-infrared spectroscopy and multivariate data analysis were applied for the modeling and prediction of leaf water potential in grapevines. For field-grown wine grapes the most significant and intensive leaf absorptions occurs in the region from 1440 to 1950 nm and again beyond 2,200 nm. Multivariate analysis of these spectra, referenced against pressure chamber measurements as a standard, showed correlation coefficients from 0.87 to 0.95 clearly demonstrated that this technology can provide a fast and reasonable assessment of leaf water potential in the field.

scholarly journals Wavelength Selection for Classifying Paddy Rice by Near-Infrared Spectroscopy

2006 ◽  
Vol 83 (4) ◽  
pp. 335-339 ◽  
Author(s):  
Chang-Chun Liu ◽  
Jai-Tsung Shaw ◽  
Keen-Yik Poong ◽  
Mei-Chu Hong ◽  
Ming-Lai Shen
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Paddy Rice ◽  
Wavelength Selection ◽  
Selection For

Near-infrared spectroscopy and wavelength selection for estimating basic density in Mimosa tenuiflora [Willd.] Poiret wood

2014 ◽  
Vol 48 (5) ◽  
pp. 949-959 ◽  
Author(s):  
Katarine M. F. Diesel ◽  
Fernanda S. L. da Costa ◽  
Alexandre S. Pimenta ◽  
Kássio M. G. de Lima
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Basic Density ◽  
Wavelength Selection ◽  
Selection For ◽  
Mimosa Tenuiflora

Kinetic and mechanistic studies on the Heck reaction using real-time near infrared spectroscopy

2003 ◽  
Vol 5 (20) ◽  
pp. 4455-4460 ◽  
Author(s):  
Susana C. Cruz ◽  
Petra J. Aarnoutse ◽  
Gadi Rothenberg ◽  
Johan A. Westerhuis ◽  
Age K. Smilde ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Real Time ◽  
Near Infrared Spectroscopy ◽  
Heck Reaction ◽  
Near Infrared ◽  
Mechanistic Studies

Future opportunities of proximal near infrared spectroscopy approaches to determine the variability of vineyard water status

2017 ◽  
Vol 23 (3) ◽  
pp. 409-414 ◽  
Author(s):  
M.P. Diago ◽  
A. Bellincontro ◽  
M. Scheidweiler ◽  
J. Tardaguila ◽  
S. Tittmann ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Water Status

Real time in-line monitoring of large scale Bacillus fermentations with near-infrared spectroscopy

2014 ◽  
Vol 189 ◽  
pp. 120-128 ◽  
Author(s):  
José Alves-Rausch ◽  
Roland Bienert ◽  
Christian Grimm ◽  
Dirk Bergmaier
Keyword(s):  
Infrared Spectroscopy ◽  
Real Time ◽  
Near Infrared Spectroscopy ◽  
Large Scale ◽  
Near Infrared
Sign in / Sign up

Export Citation Format

Share Document