プロフィール詳細

プロジェクトを作成

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Dr. Nicholas D.に依頼

New Zealand

Multidisciplinary scientist specializing in applying mathematical approaches to agriculture and forestry.

プロフィール概要

I am a multidisciplinary scientist specialising in the application of mathematical approaches to the agriculture and forestry sectors. Recently, my work has involved the rapid development of a life cycle and overwintering model for fall army worm as part of a bio-security response. I have utilised Bayesian methods to gain valuable insights into stem rust epidemics and cultivar tolerance. Leveraging machine learning techniques, I successfully identified underutilised germplasm in ryegrass breeding programs. Previously in the forestry sector, I focused on quantitative genetics for breeding programs and conducted finite element modelling to study wood formation and cutting-related distortions. Currently, I am exploring the potential of hyper-spectral and remote sensing data to enhance trial quantification and extract comprehensive information.

専門分野

• ☆ Botany
• ☆ Plant Pathology
• ☆ Plant Breeding & Genetics
• ☆ Plant Physiology
• ☆ Biostatistics
• ☆ Agricultural Engineering
• ☆ Agricultural Technology
• ☆ Agronomy & Crop Science
• ☆ Irrigation
• ☆ Weed Management
• ☆ Horticulture
• ☆ Forestry
• ☆ Data Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Data Collection
• ☆ Machine Learning
• ☆ Text Mining & Analytics
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Statistics
• ☆ Applied Statistics
• ☆ Comparative Analysis
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Bayesian Statistics
• ☆ Correlation Analysis
• ☆ Earth & Atmospheric Science
• ☆ Geographic Information Systems (GIS)
• ☆ Applied Mathematics
• ☆ Mathematical Models
• ☆ Python
• ☆ Tensorflow
• ☆ R
• ☆ Scikit-learn

サービス

• Research
• Consulting
• Data & AI

Research Feasibility Study, Scientific and Technical Research

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

職務経験

AgResearch Ltd Lincoln Research Centre

- 現在

Scientists

Agresearch

7月 2019 - 現在

学歴

PhD

University of Canterbury

10月 2014 - 6月 2019

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Nicholas Davies, M. J. Carena, P. Rolston (2020). Adapting forages to climate changes and lower environmental footprint . Agronomy New Zealand.

Nicholas T. Davies, Luis A. Apiolaza, Monika Sharma(2017). Heritability of growth strain in Eucalyptus bosistoana: a Bayesian approach with left-censored data§ . New Zealand Journal of Forestry Science. 47. (1). Scion

Nicholas T. Davies, Clemens M. Altaner, Luis A. Apiolaza(2016). Elastic constants of green Pinus radiata wood . New Zealand Journal of Forestry Science. 46. (1). Scion

Nicholas Tuatahi Davies, Hsin-Fu Wu, Clemens Michael Altaner(2014). The chemistry and bioactivity of various heartwood extracts from redwood (Sequoia sempervirens) against two species of fungi . New Zealand Journal of Forestry Science. 44. (1). Scion

DISSERTATION THESIS

Nicholas T. Davies(2019). High throughput breeding for wood quality improvement . University of Canterbury

Nicholas Tuatahi Davies(2014). Reverse Engineering the Tree . University of Canterbury. Forestry