Results 11 to 20 of about 107,324 (260)
Is it possible to predict the methane emission intensity of Swedish dairy cows from milk spectra?
Smart Agricultural Technology, 2023 Emissions of greenhouse gases (GHG), especially methane (CH4), from dairy production have received much research attention in the past 15 years, with the main focus being to identify factors affecting CH4 production and measures to reduce CH4 emissions ...
S. Mohamad Salleh +4 more
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Characterizing and estimating rice brown spot disease severity using stepwise regression, principal component regression and partial least-square regression. [PDF]
J Zhejiang Univ Sci B, 2007 Liu ZY +5 more
europepmc +2 more sources
Applied Sciences, 2023 Optimization of agricultural practices is key for facing the challenges of modern agri-food systems, which are expected to satisfy a growing demand of food production in a landscape characterized by a reduction in cultivable lands and an increasing ...
Donato Amitrano +3 more
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Animal, 2021 The improvement of efficiency traits, such as protein efficiency (PE), digestible energy efficiency (EnE) and lipid gain (LipG), are relevant given their associations with environmental pollution, cost of production, and the quality of meat.
E.O. Ewaoluwagbemiga, G. Bee, C. Kasper
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Current Research in Food Science, 2023 Consumption of aflatoxin-contaminated food can cause severe illness when consumed by humans or livestock. Because the mycotoxin frequently occurs in cereal grains and other agricultural crops, it is crucial to develop portable devices that can be used ...
Yong-Kyoung Kim +9 more
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Proceedings, 2023 Exposure to persistent organic pollutants (POPs) is suspected to play a role in the occurrence of estrogen receptor-positive breast cancer (ER-positive BC). Our objective was to investigate the association between patterns of dietary exposure to POPs and
Pauline Frenoy +2 more
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Envelopes and Partial Least Squares Regression
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2013 SummaryWe build connections between envelopes, a recently proposed context for efficient estimation in multivariate statistics, and multivariate partial least squares (PLS) regression. In particular, we establish an envelope as the nucleus of both univariate and multivariate PLS, which opens the door to pursuing the same goals as PLS but using ...
Cook, R. D., Helland, I. S., Su, Z.
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IEEE Access, 2021 The statistically inspired modification of the partial least squares (SIMPLS) is the most commonly used algorithm to solve a partial least squares regression problem when the number of explanatory variables ( $p$ ) is larger than the sample size ( $n$ ).
Abdullah Mohammed Rashid +3 more
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Performance modelling in forest operations through partial least square regression
Silva Fennica, 2012 Partial Least Square (PLS) regression is a recent soft-modelling technique that generalizes and combines features from principal component analysis (PCA) and multiple regression.
Costa, Corrado +2 more
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Applied Sciences, 2023 This study investigates and compares various multivariate regression methods, including principal component regression (PCR) and partial least squares regression (PLSR), for flight load analysis and demonstrates their high learning efficiency and strong ...
Qi Yan, Chao Yang, Zhiqiang Wan
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