Collaborative AI for Plant Biodiversity Monitoring: From Pl@ntNet to GeoPl@ntNet

Résumé

Pl@ntNet is a participatory platform based on artificial intelligence to facilitate plant identification and the monitoring of plant biodiversity. In this presentation, we will first look at the technology behind Pl@ntNet, as well as the innovative services it offers in the fields of conservation, research and agro-ecology. We will then discuss the new biogeographical models developed by the Pl@ntNet team to overcome the problems of bias and incomplete data, and their integration into a new tool (GeoPl@ntNet) currently under development.

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Alexis Joly

Alexis Joly is research director at Inria with interests in machine learning and computer vision applied to biodiversity. He is the scientific and technical leader of the Pl@ntNet citizen science project which develops a million-users platform based on AI. He is the founder of the LifeCLEF international virtual lab dedicated to the computer-assisted identification of living organisms.

Pierre Bonnet

Dr. Pierre Bonnet is a permanent scientist at CIRAD in France, based in AMAP lab (a Joint Research Unit for plant architecture, specialised in tropical botany and bioinformatics). His topics of interest are Botany, plant ecology, and applied computer science. He got his Ph.D. in 2008 from the University of Montpellier, after two and half years of activities in South East Asia, in close collaboration with the National Herbarium of the Netherlands and the National University of Laos. Since 2009, he works as a scientific coordinator of Pl@ntNet initiative, in close collaboration with scientists and engineers of INRIA, INRAE, and IRD, in order to promote citizen science for gathering new data on plants at world scale.