GEODIFF 2013 Abstracts


Full Papers
Paper Nr: 1
Title:

Locally Oriented Anisotropic Image Diffusion: Application to Phenotyping of Seedlings

Authors:

Landry Benoit, David Rousseau, Étienne Belin, Didier Demilly, François Chapeau-Blondeau and Carolyne Dürr

Abstract: A variant of the Perona-Malik anisotropic diffusion equation is introduced for the segmentation of multiple objects with crossings. The diffusion is automatically applied at the crossings locations along the main orientations of the objects. Application of this process is given for illustration on an original problem of plant imaging with the monitoring of the elongation of multiple crossing seedlings.

Paper Nr: 2
Title:

Outdoor 3D Acquisition System for Small and Fast Targets: Application to Honeybee Monitoring at the Beehive Entrance

Authors:

Guillaume Chiron, Petra Gomez-Krämer and Michel Ménard

Abstract: In response to recent biologists’ needs, we propose to lay the foundations of a stereo vision-based system for monitoring honeybees in 3D at the beehive entrance. In this context, this article highlights difficulties and introduces some solutions for problems related to the detection of the bees and tracking them in 3D under uncontrolled conditions. This study is a prerequisite for our next step that aims to detect and analyze behaviors of the bees based on their trajectories and additional external data such as the weather or health conditions.

Paper Nr: 3
Title:

Simulation Models for Grassland Ecosystem and Inter-species Plant Competition: Interation in NetLogo

Authors:

Ngoc Bich Dao, Arnaud Revel, Michel Menard and Abdallah El Hamidi

Abstract: In this article, we have first implemented El Hamidi, Garbey and Ali’s nonlinear diffusion model of the competition of plants on the Netlogo platform. In parallel with this partial differential equation (PDE) model, an agent based diffusion model has been implemented to compare the structures of the two approaches. The multi-agent system (MAS) models how each individual grows up (West et al., 2001) and is spatially diffused thanks to reproduction. Furthermore, El Hamidi’s nonlinear diffusion model has been extended to the case of n species in a system of inter-species plant competition. We have also studied how the inter/intraspecific competition parameters impact the space distribution by computing the surface ratios between species. Besides, terms representing resources have been added to measure the effects of environmental parameters. Finally, we propose a comparison between PDE and MAS approaches by identifying parameters of both models that correspond to each other.

Paper Nr: 4
Title:

Joint MAS-PDE Modeling of Forest Pest Insect Dynamics: Analysis of the Bark Beetle’s Behavior

Authors:

David Picard, Aymeric Histace and Marie-Charlotte Desseroit

Abstract: This article deals with the social behavior modeling of a particular forest pest insect: the bark beetle. This ant-like insect has been responsible for the devastation of acres of pines trees in North America since 2005. Any tactic of forest pest management requiring prediction of pest population change over time and/or space, a realistic modeling of beetle colonies behavior would be a real benefit. The originality of this work is to propose a reactive Multi-Agent-System integrating physical diffusion phenomena. The main idea is to take into account the natural vanishing of the trail markers emitted both by decomposing trees (ethanol) and the agents that have found a source of food (pheromone). The proposed experiments show, on the one hand, that the MAS-PDE modeling leads to a realistic global behavior of the colony when considering a usual foraging scenario and, on the other hand, that, when compared with a simple reactive agent, the proposed model has a faster convergence to the asymptotic usual expected “S-shape” behavior of the agents’ colony.

Paper Nr: 5
Title:

Resource versus Space Competitions in a Plant Growth Model

Authors:

A. El Hamidi

Abstract: In this tutorial note, we present a spatiotemporal model for plant growth, combining two different mechanisms of competition. The first mechanism concerns the biomass growth via resources while the second concerns the space-biomass expansion. The pure time mechanism is described by the standard underlying Kolmogorov model for interacting populations. The spatial mechanism, more adapted to plant growth, expresses the motility of each species and their capability to exclude the others from its territory.

Paper Nr: 9
Title:

Tutorial Note on Agent-based Modeling and Simulation: Application to Diffusion Models

Authors:

Alexis Drogoul and Benoit Gaudou

Abstract: This tutorial note aims at introducing agent-based paradigm for the modeling and simulation of complex systems. It will focus on its key concepts and highlight its specific features and benefits. A big part of the paper is dedicated to provide examples of applications taken in the diffusion model literature illustrating the versatility of agents and benefits it can bring to model in terms of heterogeneity (concerning agents or the environment).