Estimating Pasture Quality of Fresh Vegetation Based on Spectral Slope of Mixed Data of Dry and Fresh Vegetation—Method Development

Predicting C3 and C4 grass nutrient variability usingin situcanopy reflectance and partial least squares regression

(2015) Clement Adjorlolo et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Use of Infrared Spectroscopy for In-Field Measurement and Phenotyping of Plant Properties: Instrumentation, Data Analysis, and Examples

(2014) Daniel Cozzolino   APPLIED SPECTROSCOPY REVIEWS

Spectral Slope as an Indicator of Pasture Quality

(2014) Rachel Lugassi et al.   Remote Sensing

Predicting salinity in tomato using soil reflectance spectra

(2013) N. Goldshleger et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Multi-spectral radiometry to estimate pasture quality components

(2012) R. R. Pullanagari et al.   PRECISION AGRICULTURE

Effects of cattle grazing on herbage quality in a herbaceous Mediterranean rangeland

(2011) Z. Henkin et al.   GRASS AND FORAGE SCIENCE

A Review of Band Assignments in near Infrared Spectra of Wood and Wood Components

(2011) Manfred Schwanninger et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

In-field hyperspectral proximal sensing for estimating quality parameters of mixed pasture

(2011) R. R. Pullanagari et al.   PRECISION AGRICULTURE

Comparison of Laboratory and Field Remote Sensing Methods to Measure Forage Quality

(2010) Xulin Guo et al.   International Journal of Environmental Research and Public Health

Quantitative Analysis of Chlorophyll and Protein in Alfalfa Leaves Using Fiber‐Optic Near‐Infrared Spectroscopy

(2009) C. Petisco et al.   COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS

Evaluation of green forage intake and digestibility in ruminants using near infrared reflectance spectroscopy (NIRS): Developing a global calibration

(2008) V. Decruyenaere et al.   ANIMAL FEED SCIENCE AND TECHNOLOGY

Data mining old digestibility trials for nutritional monitoring in confined goats with aids of fecal near infra-red spectrometry

(2008) S. Landau et al.   SMALL RUMINANT RESEARCH