Hervé Goëau
Researcher
CIRAD
Herve Goeau is a computer scientist at CIRAD, the French agricultural research and international cooperation organization working for the sustainable development of tropical and Mediterranean regions, and a member of the AMAP joint research unit in Montpellier, France, an interdisciplinary laboratory conducting primary and advanced applied research on plants and plant communities. His topics of interest include deep learning and large scale fine grained classification applied to living species identification, biodiversity informatics, ecological monitoring, scientific data management, crowdsourcing and citizen science. For the last ten years he has been one of the leading researchers involved in the development of Pl@ntNet, the citizen science project renowned for its mobile plant identification apps used daily by tens of thousands of users around the world. He annually jointly organizes, within the international CLEF Initiative (Conference and Labs of the Evaluation Forum), the LifeCLEF plant species identification task, an ambitious challenge with several thousand species based on visual content and metadata analysis, that promotes machine learning and computer vision in the biodiversity informatics field. He currently works on advanced applications of machine learning to automated weed detection in cultivated fields, plant disease identification, organ detection and measurement in herbarium collections, and on a global flora identification system based on millions of pictures that require distributed deep learning on GPU clusters and HPC infrastructures.
Learn more at CIRAD.