Andrew D. Moore

发表

A Review and Perspective on Optical Phased Array for Automotive LiDAR

Ching-Pai Hsu, Boda Li, Braulio Solano-Rivas, 2021, IEEE Journal of Selected Topics in Quantum Electronics.

Dr. Zompo: an online data repository for Zostera marina and Posidonia oceanica ESTs

Erich Bornberg-Bauer, Andrew D. Moore, Lothar Wissler, 2009, Database J. Biol. Databases Curation.

Protein family analysis at the domain-level

Erich Bornberg-Bauer, Andrew D. Moore, Nicolas Terrapon, 2014, GCB.

APSIM - Evolution towards a new generation of agricultural systems simulation

Chris Murphy, Frank Y. Li, Valerie O. Snow, 2014, Environ. Model. Softw..

Towards a new generation of agricultural system data, models and knowledge products: Information and communication technology

John M. Antle, James W. Jones, Ioannis N. Athanasiadis, 2017, Agricultural systems.

MATHMATICAL MODELS AND DECISION SUPPORT TOOLS FOR TECHNOLOGY TRANSFER TO THE LIVESTOCK INDUSTRIES - A SYMPOSIUM

Donnelly, Andrew D. Moore, Jl Black, 2002 .

The semi-Markov process: a useful tool in the analysis of vegetation dynamics for management

Andrew D. Moore, A. Moore, 1990 .

Bridging Operational Meteorology and Academia through Experiential Education: The Storm Prediction Center in the University of Oklahoma Classroom

Richard L. Thompson, Israel L. Jirak, John A. Hart, 2017 .

The effects of high frequency current ripple on electric vehicle battery performance

James Marco, Anup Barai, Andrew D. Moore, 2016 .

To under-sow or not? A decision support tool to determine the most profitable method of pasture establishment

Mark B. Peoples, Andrew D. Moore, Eric J. Zurcher, 2012 .

Modelling the manager: Representing rule-based management in farming systems simulation models

Valerie O. Snow, Andrew D. Moore, Dean P. Holzworth, 2014, Environ. Model. Softw..

Robustness Testing of Real-Time Automotive Systems Using Sequence Covering Arrays

James Marco, Alexandros Mouzakitis, Andrew D. Moore, 2013 .

The challenges - and some solutions - to process-based modelling of grazed agricultural systems

Valerie O. Snow, C. A. Rotz, Andrew D. Moore, 2014, Environ. Model. Softw..

The Common Modelling Protocol: A hierarchical framework for simulation of agricultural and environmental systems

Dean Holzworth, Andrew D. Moore, Neil I. Huth, 2007 .

“Battery EV ScaleX” - Scalextric slot-cars for student led exploration of battery electric vehicle phenomena

Andrew D. Moore, A. J. Allen, 2018 .

Integrating pest population models with biophysical crop models to better represent the farming system

Andrew D. Moore, Neville I. Herrmann, Jeremy P. M. Whish, 2015, Environ. Model. Softw..

GRAZPLAN: Decision support systems for Australian grazing enterprises—I. Overview of the GRAZPLAN project, and a description of the MetAccess and LambAlive DSS

M. Freer, Andrew D. Moore, J. R. Donnelly, 1997 .

Approaches for assessing some attributes of feed-base systems in mixed farming enterprises

Michael Robertson, Andrew D. Moore, Lindsay W. Bell, 2008 .

Towards a common advisory toolkit for managing temperate grazing systems.

Andrew D. Moore, J. R. Donnelly, L. Salmon, 2001 .

Mathematical modeling for improved greenhouse gas balances, agro‐ecosystems, and policy development: lessons from the Australian experience

Enli Wang, Peter J. Thorburn, Andrew D. Moore, 2014 .

Towards a new generation of agricultural system data, models and knowledge products

John M. Antle, James W. Jones, Sander Janssen, 2016 .

Seeking simultaneous improvements in farm profit and natural resource indicators: a modelling analysis

Michael Robertson, Andrew D. Moore, Roger Lawes, 2009 .

Evaluation of the water use efficiency of alternative farm practices at a range of spatial and temporal scales: A conceptual framework and a modelling approach

Michael Robertson, Andrew D. Moore, R. Routley, 2011 .

Modeling acidification processes in agricultural systems.

Andrew D. Moore, Zvi Hochman, Richard J. Simpson, 2003 .

Paying for our keep: grasslands decision support in more-developed countries.

Andrew D. Moore, D. A. McGilloway, 2005 .

Opportunities and trade-offs in dual-purpose cereals across the southern Australian mixed-farming zone: a modelling study

Andrew D. Moore, A. Moore, 2009 .

Profitability of grazing crop stubbles may be overestimated by using the metabolisable energy intake from the stubble.

Michael Robertson, Andrew D. Moore, Dean T. Thomas, 2010 .

On the maximum growth equation used in forest gap simulation models

Andrew D. Moore, 1989 .

Trade-offs between productivity and ground cover in mixed farming systems in the Murrumbidgee catchment of New South Wales

Andrew D. Moore, J. M. Lilley, A. Moore, 2009 .

Global Research Alliance on agricultural greenhouse gases - benchmark and ensemble crop and grassland model estimates

Ward N. Smith, Bruno Basso, Andrew D. Moore, 2016 .

Grazing spring variety cereal crops reduces supplementary feeding in mixed cropping and sheep farms

Andrew D. Moore, Katrien Descheemaeker, Dean T. Thomas, 2012 .

Evaluating pasture breeding objectives using computer models

Andrew D. Moore, J. R. Donnelly, J. Donnelly, 1994 .

Brave new green world - Consequences of a carbon economy for the conservation of Australian biodiversity

Edward C. Lefroy, Matthias M. Boer, Ross A. Bradstock, 2013 .

GRAZPLAN: Decision support systems for Australian grazing enterprises. III. Pasture growth and soil moisture submodels, and the GrassGro DSS

Andrew D. Moore, J. R. Donnelly, J. Donnelly, 1997 .

An exploratory evaluation of APSIM to simulate growth and yield processes for winter cereals in rotation systems in South Australia

Andrew D. Moore, M. E. Probert, Jeff Baldock, 2004 .

Simulating fababean development, growth, and yield in Australia

Andrew D. Moore, M. J. Robertson, M. Robertson, 2003 .

Integrated crop–livestock systems in Australian agriculture: Trends, drivers and implications

Andrew D. Moore, Lindsay W. Bell, A. Moore, 2012 .

Using a mathematical framework to examine physiological changes in winter wheat after livestock grazing. 1. Model derivation and coefficient calibration

Andrew D. Moore, Matthew T. Harrison, John R. Evans, 2012 .

The GrassGro decision support tool: its effectiveness in simulating pasture and animal production and value in determining research priorities

Andrew D. Moore, J. R. Donnelly, J. Donnelly, 2000 .

An individualistic model of vegetation stand dynamics.

Andrew D. Moore, Ian R. Noble, I. Noble, 1990 .