Estimation of yield and quality of legume and grass mixtures using partial least squares and support vector machine analysis of spectral data

Z Zhou, J Morel, D Parsons, SV Kucheryavskiy… - … and Electronics in …, 2019 - Elsevier
The project aim was to estimate N uptake (N up), dry matter yield (DMY) and crude protein
concentration (CP) of forage crops both during typical harvest times and at a very early …

Prediction of yield and the contribution of legumes in legume-grass mixtures using field spectrometry

S Biewer, S Erasmi, T Fricke, M Wachendorf - Precision Agriculture, 2009 - Springer
Productivity and botanical composition of legume-grass swards in rotation systems are
important factors for successful arable farming in both organic and conventional farming …

Simultaneous identification of spring wheat nitrogen and water status using visible and near infrared spectra and Powered Partial Least Squares Regression

K Kusnierek, A Korsaeth - Computers and Electronics in Agriculture, 2015 - Elsevier
The common method of estimating N demand in cereals by spectral measurements may be
negatively affected by variation in other crop properties, in particular by crop water status. In …

Quantification of nitrogen concentration in perennial ryegrass and red fescue using near-infrared reflectance spectroscopy (NIRS) and chemometrics

R Gislum, E Micklander, JP Nielsen - Field Crops Research, 2004 - Elsevier
Measurements of nitrogen (N) concentrations in plant samples are increasingly being used
to support the development of novel N application strategies, which are based on actual …

[HTML][HTML] Evaluating and defining agronomically relevant detection limits for spectral reflectance-based assessment of N uptake in wheat

P Heinemann, S Haug, U Schmidhalter - European Journal of Agronomy, 2022 - Elsevier
Spectral detection of the N uptake of wheat is a widely used method, as it is non-destructive,
rapid and cost-efficient. However, to date, agronomically supported spectral detection limits …

Cereal yield modeling in Finland using optical and radar remote sensing

H Laurila, M Karjalainen, J Kleemola, J Hyyppä - Remote sensing, 2010 - mdpi.com
During 1996–2006, the Ministry of Agriculture and Forestry in Finland (MAFF), MTT Agrifood
Research and the Finnish Geodetic Institute performed a joint remote sensing satellite …

Imaging spectroscopy for on‐farm measurement of grassland yield and quality

AGT Schut, G Van Der Heijden, I Hoving… - Agronomy …, 2006 - Wiley Online Library
Grassland management has a large influence on the operating cost and environmental
impact of dairy farms and requires accurate, detailed, and timely information about the yield …

Predicting grain yield and protein content in winter wheat and spring barley using repeated canopy reflectance measurements and partial least squares regression

PM Hansen, JR Jørgensen… - The Journal of Agricultural …, 2002 - cambridge.org
By providing both spatial and temporal information remote sensing may function as an
important source of data for site-specific crop management. This technology has been used …

Reflectance estimation of canopy nitrogen content in winter wheat using optimised hyperspectral spectral indices and partial least squares regression

F Li, B Mistele, Y Hu, X Chen, U Schmidhalter - European Journal of …, 2014 - Elsevier
Many spectral indices have been proposed to derive plant nitrogen (N) nutrient indicators
based on different algorithms. However, the relationships between selected spectral indices …

Determination of dry matter yield from legume–grass swards by field spectroscopy

S Biewer, T Fricke, M Wachendorf - Crop Science, 2009 - Wiley Online Library
An efficient and accurate detection of dry matter (DM) yield of legume–grass mixtures can
facilitate a targeted and site‐specific management of legume‐based swards. The major …