Automated flower species classification for generating honey-bee foraging maps from drone imagery
An agent-based simulation, built on core circuitry for decision-making in foraging, that shows how simple episodic memory and spatial learning can emerge from some of the simplest associative learning rules for classical conditioning.
Seal foraging areas identified by analysing the dive data obtained from telemetry tracking. Select the likely foraging dives using a vertical approach (Planque et al. 2020), and spatialise them with Kernel densities.
This folder contains R code and other related files for the robustness mechanism manuscript
Agent-based modelling of a central place forager under predation risk
Foraging behaviour analysis of lactating Weddell seals in Erebus Bay, Antarctica, using seal-mounted cameras and TDRs..
Simple foraging and random aggregation strategy for swarm robotics without communication. Simulation on V-rep for ePuck robots.
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