w-on-cv-in-plant-phenotyping-and-agriculture.md

ICCVW-2023-Papers

Application

8th Workshop on Computer Vision in Plant Phenotyping and Agriculture

Title	Repo	Paper	Video
Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances	➖		➖
Towards Automated Regulation of Jacobaea Vulgaris in Grassland using Deep Neural Networks	➖		➖
Estimation of Crop Production by Fusing Images and Crop Features			➖
An Interpretable Framework to Characterize Compound Treatments on Filamentous Fungi using Cell Painting and Deep Metric Learning	➖		➖
Rapid Tomato DUS Trait Analysis using an Optimized Mobile-based Coarse-to-Fine Instance Segmentation Algorithm	➖		➖
Non-Destructive Infield Quality Estimation of Strawberries using Deep Architectures	➖		➖
Reinforcement Learning with Space Carving for Plant Scanning	➖		➖
Deep Learning based 3d Reconstruction for Phenotyping of Wheat Seeds: A Dataset, Challenge, and Baseline Method	➖		➖
Semantic Segmentation of Crops and Weeds with Probabilistic Modeling and Uncertainty Quantification	➖		➖
A New Large Dataset and a Transfer Learning Methodology for Plant Phenotyping in Vertical Farms			➖
Pollinators as Data Collectors: Estimating Floral Diversity with Bees and Computer Vision	➖		➖
Inductive Conformal Prediction for Harvest-Readiness Classification of Cauliflower Plants: A Comparative Study of Uncertainty Quantification Methods	➖		➖
Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification	➖		➖
Vision-based Monitoring of the Short-Term Dynamic Behaviour of Plants for Automated Phenotyping	➖		➖
Improving Deep Learning on Hyperspectral Images of Grain by Incorporating Domain Knowledge from Chemometrics	➖		➖
Adapting Vision Foundation Models for Plant Phenotyping	➖		➖
Embedded Plant Recognition: A Benchmark for Low Footprint Deep Neural Networks	➖		➖
Deep Learning for Apple Fruit Quality Inspection using X-Ray Imaging	➖		➖
Detection of Fusarium Damaged Kernels in Wheat using Deep Semi-Supervised Learning on a Novel WheatSeedBelt Dataset	➖		➖
Unified Automatic Plant Cover and Phenology Prediction	➖		➖
Weed Mapping with Convolutional Neural Networks on High Resolution Whole-Field Images	➖		➖
Unlocking Comparative Plant Scoring with Siamese Neural Networks and Pairwise Pseudo Labelling	➖		➖
Class-Incremental Learning of Plant and Disease Detection: Growing Branches with Knowledge Distillation			➖
Efficient Grapevine Structure Estimation in Vineyards Conditions	➖		➖
Plant Root Occlusion Inpainting with Generative Adversarial Network	➖		➖