AgriVision20
* *AgriVision: Agriculture-Vision: Challenges and Opportunities for Computer Vision in Agriculture
* 1st Agriculture-Vision Challenge: Methods and Results, The
* Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data
* Cross-Regional Oil Palm Tree Detection
* Deep Learning based Corn Kernel Classification
* Deep Transfer Learning For Plant Center Localization
* Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture
* Farm Parcel Delineation Using Spatio-temporal Convolutional Networks
* Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors
* Fine-Grained Recognition in High-throughput Phenotyping
* Improving In-field Cassava Whitefly Pest Surveillance with Machine Learning
* Leaf Spot Attention Network for Apple Leaf Disease Identification
* Multi-Stream CNN for Spatial Resource Allocation: a Crop Management Application
* Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation
* Novel Technique Combining Image Processing, Plant Development Properties, and the Hungarian Algorithm, to Improve Leaf Detection in Maize, A
* Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization
* Segmentation and detection from organised 3D point clouds: A case study in broccoli head detection
* Visual 3D Reconstruction and Dynamic Simulation of Fruit Trees for Robotic Manipulation
* Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark
19 for AgriVision20
AgriVision21
* *AgriVision: Agriculture-Vision: Challenges and Opportunities for Computer Vision in Agriculture
* Determining Dendrometry Using Drone Scouting, Convolutional Neural Networks and Point Clouds
* Fuse-PN: A Novel Architecture for Anomaly Pattern Segmentation in Aerial Agricultural Images
* Multi-resolution Outlier Pooling for Sorghum Classification
* Phenology Alignment Network: A Novel Framework for Cross-Regional Time Series Crop Classification
* Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery
* Towards Computer Vision and Deep Learning Facilitated Pollination Monitoring for Agriculture
7 for AgriVision21
AgriVision22
* *AgriVision: Agriculture-Vision: Challenges and Opportunities for Computer Vision in Agriculture
* 3D Point Cloud Instance Segmentation of Lettuce Based on PartNet
* AAFormer: A Multi-Modal Transformer Network for Aerial Agricultural Images
* Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images
* High-Resolution UAV Image Generation for Sorghum Panicle Detection
* Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations
* Pseudo-label Generation for Agricultural Robotics Applications
* Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pods
* Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation
* Using Pure Pollen Species When Training a CNN to Segment Pollen Mixtures
10 for AgriVision22
AgriVision23
* *AgriVision: Agriculture-Vision: Challenges and Opportunities for Computer Vision in Agriculture
* Agronav: Autonomous Navigation Framework for Agricultural Robots and Vehicles using Semantic Segmentation and Semantic Line Detection
* CherryPicker: Semantic Skeletonization and Topological Reconstruction of Cherry Trees
* ECA-ConvNeXt: A Rice Leaf Disease Identification Model Based on ConvNeXt
* MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture
* Mushroom Segmentation and 3D Pose Estimation from Point Clouds using Fully Convolutional Geometric Features and Implicit Pose Encoding
* On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild
* PeanutNeRF: 3D Radiance Field for Peanuts
* Realistic Synthetic Mushroom Scenes Dataset, A
9 for AgriVision23