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| Link zu diesem Datensatz | https://d-nb.info/1366872258 |
| Art des Inhalts | Konferenzschrift |
| Titel | Computer Vision – ECCV 2024 Workshops : Milan, Italy, September 29–October 4, 2024, Proceedings, Part III / edited by Alessio Del Bue, Cristian Canton, Jordi Pont-Tuset, Tatiana Tommasi |
| Person(en) |
Del Bue, Alessio (Herausgeber) Canton, Cristian (Herausgeber) Pont-Tuset, Jordi (Herausgeber) Tommasi, Tatiana (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, LV, 352 p. 126 illus., 123 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-91834-6 Printed edition:: ISBN: 978-3-031-91836-0 |
| Inhalt | Wild Berry image dataset collected in Finnish forests and peatlands using drones -- Soybean pod and seed counting in both outdoor fields and indoor laboratories using unions of deep neural networks -- A Framework for Enhanced Decision Support in Digital Agriculture Using Explainable Machine Learning -- Lincoln's Annotated Spatio-Temporal Strawberry Dataset (LAST-Straw) -- 3D Phenotyping of Canopy Occupation Volume as a Major Predictor for Canopy Photosynthesis in Rice (Oryza sativa L.) -- Retrieval of sun-induced plant fluorescence in the O2-A absorption band from DESIS imagery -- Unsupervised Tomato Split Anomaly Detection using Hyperspectral Imaging and Variational Autoencoders -- KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation -- RoWeeder: Unsupervised Weed Mapping through Crop-Row Detection -- Consolidation of symbolic instances using sensor data via tracklet merging for long-term monitoring of crops -- Automated Generation of Accurate, Compact and Focused Crop and Weed Segmentation Models -- Comparative Analysis of YOLOv9, YOLOv10 and RT-DETR for Real-Time Weed Detection -- Towards Auto-Generated Ground Truth for Evaluation of Perception Systems in Agriculture -- AgriBench: A Hierarchical Agriculture Benchmark for Multimodal Large Language Models -- Deep Learning Based Growth Modeling of Plant Phenotypes -- A simple approach to pavement cell segmentation -- Enhancing weed detection performance by means of GenAI-based image augmentation -- SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture -- Robust UDA for Crop and Weed Segmentation: Multi-Scale Attention and Style-Adaptive Techniques -- Ordinal-Meta Learning for Fine-grained Fruit Quality Prediction -- Beyond Annotations: Efficient Wheat Head Segmentation Using L-Systems, Game Engines, and Student-Teacher Models -- Exploiting Boundary Loss for the Hierarchical Panoptic Segmentation of Plants and Leaves |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2505270410052.636536018906 DOI: 10.1007/978-3-031-91835-3 |
| URL | https://doi.org/10.1007/978-3-031-91835-3 |
| ISBN/Einband/Preis | 978-3-031-91835-3 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15625 |
| DDC-Notation | 006.37 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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