J. Weiss

发表

Risk assessment models for invasive species: uncertainty in rankings from multi-criteria analysis

K. Benke, J. Steel, J. Weiss, 2010, Biological Invasions.

Optimising government investment at different stages of the weed invasion process.

N. Crossman, J. Watts, C. Preston, 2006 .

Effects of Temperature and Water Potential on Germination of Horehound (Marrubium vulgare) Seeds from two Australian Localities

J. Weiss, At Fila Lippai, P. A. Smith, 1996, Weed Science.

Utilising a terrestrial observation predictive system for emergency plant pest incursion management

S. McKirdy, M. White, J. Weiss, 2007 .

Modelling the Incursion and Spread of a Forestry Pest: Case Study of Monochamus alternatus Hope (Coleoptera: Cerambycidae) in Victoria

David J. Smith, K. Sheffield, A. Weeks, 2019, Forests.

Prospects and challenges of implementing DNA metabarcoding for high-throughput insect surveillance

Alexander M Piper, Jana Batovska, Noel O I Cogan, 2019, GigaScience.

A Novel Methodology for Improving Plant Pest Surveillance in Vineyards and Crops Using UAV-Based Hyperspectral and Spatial Data

Dmitry Bratanov, Felipe Gonzalez, Fernando Vanegas, 2018, Sensors.

Predicting the potential distribution of the biological control agent blackberry leaf rust (Phragmidium violaceum) and its impact on European blackberry (Rubus fruticosus) in Victoria, Australia

P. M. Wade, J. Brock, K. Prach, 2003 .

Do locusts seek greener pastures?: an evaluation of MODIS vegetation indices to predict presence, abundance and impact of the Australian plague locust in southeastern Australia

J. Weiss, 2016 .

Prospects and challenges of implementing DNA metabarcoding for high-throughput insect surveillance

B. Rodoni, N. Cogan, Alexander M. Piper, 2019, GigaScience.