F. van den Bosch

The value of volunteer surveillance for the early detection of biological invaders.

The paper evaluates whether verifying volunteer-reported biological invader sightings is cost-effective, showing conditions under which volunteer surveillance outperforms expert-only monitoring.

Out of sight: Surveillance strategies for emerging vectored plant pathogens.

The paper evaluates the effectiveness of visual surveillance and molecular testing for detecting Xylella fastidiosa ST53 in olive hosts and insect vectors.

The Effect of Introgression of an R2R3 MYB Transcription Factor on Sulphur Metabolism in Brassica oleracea

This study examines how introgressing a MYB28 variant from a wild Brassica species into broccoli affects sulphur metabolism and glucosinolate production.

Artificial neural network for monitoring network optimisation--a practical example using a national insect survey

The paper trains an artificial neural network to predict aphid arrival from environmental data and identifies optimal sensor locations to improve monitoring networks.

Optimising risk-based surveillance for early detection of invasive plant pathogens.

This study optimizes risk-based surveillance strategies for early detection of invasive plant pathogens by combining spatial models with statistical detection methods.