David Phelps

Crop yield prediction using machine learning: A systematic literature review

Eliciting Expert Knowledge in Conservation Science

Toxicity of heavy metals to microorganisms and microbial processes in agricultural soils: a review

Commentary: A critical assessment of the policy endorsement for holistic management

Achieving Conservation Science that Bridges the Knowledge–Action Boundary

A systematic literature review on machine learning applications for sustainable agriculture supply chain performance

Insect population responses to environmental stress and pollutants

Using a Bayesian belief network to predict suitable habitat of an endangered mammal – The Julia Creek dunnart (Sminthopsis douglasi)

Meat consumption, health, and the environment

Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield

What determines soil organic carbon stocks in the grazing lands of north-eastern Australia?

Effects of water stress on curly Mitchell grass, the common armyworm and the Australian plague locust

A quantitative state and transition model for the Mitchell grasslands of central western Queensland