- INTRANET (Reserved access)
| Date and place | Participant(s) | Content |
|---|---|---|
| 10/09/2020 from 11h00 to 12h00 PS 2 salle 201 |
Ludwig LUTHARDTLUTHARDT Ludwig
| Jeudi de l'AMAP (Résultats & Programmes) The Medullosales: A key plant group to understand ecosystem dynamics in deep time? Lire le Résumé Jeudi de l'AMAP (Résultats & Programmes)Le 10/09/2020 , de 11h00 à 12h00, PS 2 salle 201 Ludwig LUTHARDT présentera The Medullosales: A key plant group to understand ecosystem dynamics in deep time?In the late Paleozoic era (350–250 million years), the Earth was struck by significant global change. The ancient vegetation has witnessed these changes, testifying on evolutionary dynamics driven by environmental forces. The medullosans are a significant plant group at this time, belonging to seed ferns (pteridosperms), a paraphyletic group of seed plants which occurred from the late Devonian to the late Mesozoic (375–65 million years). The medullosans which originated about 330 million years ago were first part of extended tropical forest ecosystems, but later also of seasonally-dry habitats, such as the Chemnitz Fossil Forest in central-east Germany, 291 million years ago. Due to exceptional preservation in this fossil assemblage, we are able to reconstruct these plants from their roots to the tips of the leaves, for the first time in paleobotanical research history. The medullosans have an unusual and complex xylem architecture and large fronds with fern-like leaves. Their nearest living relatives are the cycads. Not much is known about their growth habit and water transporting vascular system. Were they climbing vines or self-supporting? Do their conducting tissues and high leaf surface point to a large evapotranspiration potential, which would be comparable to modern angiosperms? The three-dimensional preservation of the fossils may bear the potential to apply modelling approaches on biomechanics and water conductance, which have been developed for living plants of modern forest ecosystems. Fichier joint : 20200910_Ludwig_Luthardt_JeudiAMAP.pdf Joined File : 20200910_Ludwig_Luthardt_JeudiAMAP.pdf |
| 26/08/2020 from 11h00 to 12h00 PS 2 salle 201 |
OLIVERAS Imma | Jeudi de l'AMAP (Résultats & Programmes) Dynamics of tropical vegetation transitions under global change Lire le Résumé Jeudi de l'AMAP (Résultats & Programmes)Le 26/08/2020 , de 11h00 à 12h00, PS 2 salle 201 OLIVERAS Imma présentera Dynamics of tropical vegetation transitions under global change |
| 25/02/2020 from 11h00 to 12h00 PS 2 salle 201 |
Han LEE Sue | Jeudi de l'AMAP (Résultats & Programmes) PLANT HEATH: Plant disease monitoring in crowdsourced image stream Lire le Résumé Jeudi de l'AMAP (Résultats & Programmes)Le 25/02/2020 , de 11h00 à 12h00, PS 2 salle 201 Han LEE Sue présentera PLANT HEATH: Plant disease monitoring in crowdsourced image streamPlant diseases are a major threat to agricultural production, causing a severe food recession and affecting crop quality. Automated identification of plant diseases has mainly been carried out on a single crop/host species using hand-crafted approaches and, since deep learning, has demonstrated extremely high recognition capabilities, replacing the need to manually design feature representations, multiple host species and disease-based models, which are receiving increasing attention. In this presentation, I will present the results of my research on the conceptual study of the use of deep learning to solve the problem of plant disease identification. It covers preliminary results on the effect of transfer learning on model training, the exploration of a new modelling method based on recurrent neural network and the latest state-of-the-art method for modelling multiple host species and disease images taken in a real-life scenario. Fichier joint : 20200225_Sue_HAN_JeudiAMAP.pdf Joined File : 20200225_Sue_HAN_JeudiAMAP.pdf |
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