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References from BarnSeg-ECA-Lite: A Lightweight Instance Segmentation Model for Feed, Buffalo Heads, and Mineral Lick Blocks in Buffalo Barn Environments. Local targets link to admitted publications; unresolved targets remain external evidence.
10.3390/ani13132096
10.3390/ani13132096 · External reference
10.3390/ani13050779
10.3390/ani13050779 · External reference
10.3390/ani15223314
10.3390/ani15223314 · External reference
10.3390/j9020013
10.3390/j9020013 · External reference
10.3390/ani16091363
10.3390/ani16091363 · External reference
A Review of Three-Dimensional Computer Vision Used in Precision Livestock Farming for Cattle Growth Management
10.1016/j.compag.2023.107687 · 2023 · External reference
From Individual Identification to Behavioral Sensing—Evolution and Challenges of RFID Technology in Precision Livestock Farming
10.1016/j.compag.2026.111821 · 2026 · External reference
10.3390/s26134271
10.3390/s26134271 · External reference
10.3390/ani16091333
10.3390/ani16091333 · External reference
Assessing Optimal Frequency for Image Acquisition in Computer Vision Systems Developed to Monitor Feeding Behavior of Group-Housed Holstein Heifers
10.3168/jds.2022-22138 · 2023 · External reference
10.3390/ani15172508
10.3390/ani15172508 · External reference
10.3390/ani14223299
10.3390/ani14223299 · External reference
10.3390/agriculture16060700
10.3390/agriculture16060700 · External reference
10.3390/electronics15081679
10.3390/electronics15081679 · External reference
A Systematic Survey of Public Computer Vision Datasets for Precision Livestock Farming
10.1016/j.compag.2024.109718 · 2024 · External reference
10.3390/fi17090431
10.3390/fi17090431 · External reference
Image Segmentation Using Deep Learning: A Survey
2022 · External reference
10.3390/math14111786
10.3390/math14111786 · External reference
10.3390/s26123686
10.3390/s26123686 · External reference
10.3390/s24072245
10.3390/s24072245 · External reference
10.20944/preprints202605.0936.v1
10.20944/preprints202605.0936.v1 · External reference
Research on Bearing Surface Defect Detection Based on Improving YOLOV5S
2025 · External reference
Deep Learning Implementation of Image Segmentation in Agricultural Applications: A Comprehensive Review
10.1007/s10462-024-10775-6 · 2024 · External reference
Deep Learning-Based Instance Segmentation Architectures in Agriculture: A Review of the Scopes and Challenges
10.1016/j.atech.2024.100448 · 2024 · External reference
10.3390/sym18050729
10.3390/sym18050729 · External reference
10.3390/info17050421
10.3390/info17050421 · External reference
10.3390/app15179742
10.3390/app15179742 · External reference
10.3390/electronics14244877
10.3390/electronics14244877 · External reference
A Comprehensive Review of Lightweight Deep Learning Models for Edge Computing with Future Directions
10.1007/s10791-026-10021-3 · 2026 · External reference
10.3390/s22186939
10.3390/s22186939 · External reference
10.3390/insects17010074
10.3390/insects17010074 · External reference
10.3390/ani16111643
10.3390/ani16111643 · External reference
10.3390/robotics15040081
10.3390/robotics15040081 · External reference
Computer Vision Models for Precision Poultry Farming: A Narrative Review of Behavioral and Welfare Monitoring Studies
10.1016/j.psj.2026.106887 · 2026 · External reference
10.3390/agriculture15161766
10.3390/agriculture15161766 · External reference
Unresolved reference
External reference
Determination of Tomato Leafminer: Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae) Damage on Tomato Using Deep Learning Instance Segmentation Method
10.1007/s00217-024-04516-w · 2024 · External reference
Unresolved reference
External reference
10.3390/agriculture14071163
10.3390/agriculture14071163 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
10.1109/cvpr42600.2020.01155
10.1109/cvpr42600.2020.01155 · External reference
10.3390/electronics12183969
10.3390/electronics12183969 · External reference
10.3390/app15084519
10.3390/app15084519 · External reference
10.1109/cvpr42600.2020.00165
10.1109/cvpr42600.2020.00165 · External reference
DSC-Ghost-Conv: A Compact Convolution Module for Building Efficient Neural Network Architectures
10.1007/s11042-023-16120-3 · 2024 · External reference
10.3390/drones7020117
10.3390/drones7020117 · External reference
Lightweight Real-Time Lane Detection Algorithm Based on Ghost Convolution and Self Batch Normalization
10.1007/s11554-023-01323-6 · 2023 · External reference
Sheep Instance Segmentation Method Based on Improved YOLO v8n-seg
2024 · External reference
10.3390/ani15071000
10.3390/ani15071000 · External reference
A Lightweight Weed Detection Model for Cotton Fields Based on an Improved YOLOv8n
10.1038/s41598-024-84748-8 · 2025 · External reference
EVA-YOLOv8: An Improved YOLOv8 Model Integrating Multi-Scale Attention Mechanism and Vision Transformer for Multi-Class Road Crack Detection
10.1038/s41598-026-46475-0 · 2026 · External reference
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
10.1109/jproc.2021.3060483 · 2021 · External reference
10.3390/agriengineering8070270
10.3390/agriengineering8070270 · External reference
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities, and Challenges toward Responsible AI
10.1016/j.inffus.2019.12.012 · 2020 · External reference
10.3390/bdcc8110149
10.3390/bdcc8110149 · External reference
PickAMoo: LIDAR-Enhanced Mask R-CNN Segmentation for Precision Weight Estimation in Dairy Cattle Using Smartphone Imaging
10.1038/s41598-026-54742-3 · 2026 · External reference
Advancing Precision Livestock Farming: Integrating Artificial Intelligence and Emerging Technologies for Sustainable Livestock Management
10.5713/ab.25.0289 · 2026 · External reference
Determination of Tomato Leafminer: Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae) Damage on Tomato Using Deep Learning Instance Segmentation Method
10.1007/s00217-024-04516-w · ExternalCitation · doi-reference
Deep Learning Implementation of Image Segmentation in Agricultural Applications: A Comprehensive Review
10.1007/s10462-024-10775-6 · ExternalCitation · doi-reference
A Comprehensive Review of Lightweight Deep Learning Models for Edge Computing with Future Directions
10.1007/s10791-026-10021-3 · ExternalCitation · doi-reference
DSC-Ghost-Conv: A Compact Convolution Module for Building Efficient Neural Network Architectures
10.1007/s11042-023-16120-3 · ExternalCitation · doi-reference
Lightweight Real-Time Lane Detection Algorithm Based on Ghost Convolution and Self Batch Normalization
10.1007/s11554-023-01323-6 · ExternalCitation · doi-reference
Deep Learning-Based Instance Segmentation Architectures in Agriculture: A Review of the Scopes and Challenges
10.1016/j.atech.2024.100448 · ExternalCitation · doi-reference
A Review of Three-Dimensional Computer Vision Used in Precision Livestock Farming for Cattle Growth Management
10.1016/j.compag.2023.107687 · ExternalCitation · doi-reference
A Systematic Survey of Public Computer Vision Datasets for Precision Livestock Farming
10.1016/j.compag.2024.109718 · ExternalCitation · doi-reference
From Individual Identification to Behavioral Sensing—Evolution and Challenges of RFID Technology in Precision Livestock Farming
10.1016/j.compag.2026.111821 · ExternalCitation · doi-reference
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities, and Challenges toward Responsible AI
10.1016/j.inffus.2019.12.012 · ExternalCitation · doi-reference
Computer Vision Models for Precision Poultry Farming: A Narrative Review of Behavioral and Welfare Monitoring Studies
10.1016/j.psj.2026.106887 · ExternalCitation · doi-reference
A Lightweight Weed Detection Model for Cotton Fields Based on an Improved YOLOv8n
10.1038/s41598-024-84748-8 · ExternalCitation · doi-reference
EVA-YOLOv8: An Improved YOLOv8 Model Integrating Multi-Scale Attention Mechanism and Vision Transformer for Multi-Class Road Crack Detection
10.1038/s41598-026-46475-0 · ExternalCitation · doi-reference
PickAMoo: LIDAR-Enhanced Mask R-CNN Segmentation for Precision Weight Estimation in Dairy Cattle Using Smartphone Imaging
10.1038/s41598-026-54742-3 · ExternalCitation · doi-reference
10.1109/cvpr42600.2020.00165
10.1109/cvpr42600.2020.00165 · ExternalCitation · doi-reference
10.1109/cvpr42600.2020.01155
10.1109/cvpr42600.2020.01155 · ExternalCitation · doi-reference
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
10.1109/jproc.2021.3060483 · ExternalCitation · doi-reference
10.20944/preprints202605.0936.v1
10.20944/preprints202605.0936.v1 · ExternalCitation · doi-reference
Assessing Optimal Frequency for Image Acquisition in Computer Vision Systems Developed to Monitor Feeding Behavior of Group-Housed Holstein Heifers
10.3168/jds.2022-22138 · ExternalCitation · doi-reference
10.3390/agriculture14071163
10.3390/agriculture14071163 · ExternalCitation · doi-reference
10.3390/agriculture15161766
10.3390/agriculture15161766 · ExternalCitation · doi-reference
10.3390/agriculture16060700
10.3390/agriculture16060700 · ExternalCitation · doi-reference
10.3390/agriengineering8070270
10.3390/agriengineering8070270 · ExternalCitation · doi-reference
10.3390/ani13050779
10.3390/ani13050779 · ExternalCitation · doi-reference
10.3390/ani13132096
10.3390/ani13132096 · ExternalCitation · doi-reference
10.3390/ani14223299
10.3390/ani14223299 · ExternalCitation · doi-reference
10.3390/ani15071000
10.3390/ani15071000 · ExternalCitation · doi-reference
10.3390/ani15172508
10.3390/ani15172508 · ExternalCitation · doi-reference
10.3390/ani15223314
10.3390/ani15223314 · ExternalCitation · doi-reference
10.3390/ani16091333
10.3390/ani16091333 · ExternalCitation · doi-reference
10.3390/ani16091363
10.3390/ani16091363 · ExternalCitation · doi-reference
10.3390/ani16111643
10.3390/ani16111643 · ExternalCitation · doi-reference
10.3390/app15084519
10.3390/app15084519 · ExternalCitation · doi-reference
10.3390/app15179742
10.3390/app15179742 · ExternalCitation · doi-reference
10.3390/bdcc8110149
10.3390/bdcc8110149 · ExternalCitation · doi-reference
10.3390/drones7020117
10.3390/drones7020117 · ExternalCitation · doi-reference
10.3390/electronics12183969
10.3390/electronics12183969 · ExternalCitation · doi-reference
10.3390/electronics14244877
10.3390/electronics14244877 · ExternalCitation · doi-reference
10.3390/electronics15081679
10.3390/electronics15081679 · ExternalCitation · doi-reference
10.3390/fi17090431
10.3390/fi17090431 · ExternalCitation · doi-reference
10.3390/info17050421
10.3390/info17050421 · ExternalCitation · doi-reference
10.3390/insects17010074
10.3390/insects17010074 · ExternalCitation · doi-reference
10.3390/j9020013
10.3390/j9020013 · ExternalCitation · doi-reference
10.3390/math14111786
10.3390/math14111786 · ExternalCitation · doi-reference
10.3390/robotics15040081
10.3390/robotics15040081 · ExternalCitation · doi-reference
10.3390/s22186939
10.3390/s22186939 · ExternalCitation · doi-reference
10.3390/s24072245
10.3390/s24072245 · ExternalCitation · doi-reference
10.3390/s26123686
10.3390/s26123686 · ExternalCitation · doi-reference
10.3390/s26134271
10.3390/s26134271 · ExternalCitation · doi-reference
10.3390/sym18050729
10.3390/sym18050729 · ExternalCitation · doi-reference
Advancing Precision Livestock Farming: Integrating Artificial Intelligence and Emerging Technologies for Sustainable Livestock Management
10.5713/ab.25.0289 · ExternalCitation · doi-reference
