Advancing pig lameness detection with a multi-task framework: Leveraging multi-view 3D pose estimation and wavelet convolution（多任务框架推进生猪跛行检测：利用多视角3D姿态估计与小波卷积）
提出PoseGait-MT多任务框架，用多视角3D姿态与小波卷积同时检测生猪跛行程度和患肢。
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#计算机视觉
International Journal of Engineering Research and Science & Technology·9月24日 · 周四0 分 论文智慧农业 / 农业物联网阅读 0
ATTENDANCE TRACKING USING COMPUTER VISION
用摄像头和计算机视觉人脸识别自动记录考勤，替代人工点名与刷卡。
Accelerated development and deployment of computer vision models for invasive aquatic pests
提出一套开发与部署水生入侵物种计算机视觉模型的实用框架，并在新西兰三种入侵物种上验证。
RootQuantV2: Adapting a Vision Foundation Model for Root-Trait Regression from Minirhizotron Imagery
用冻结DINOv3 ViT微调回归，从微根管图像直接预测根系长度和面积。
Brazilian Insect Survey: A Platform for Pest Management
巴西昆虫调查平台整合计算机视觉、田间试验与种群建模，实现害虫实时监测与治理。
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering·9月18日 · 周五0 分 论文智慧农业 / 农业物联网阅读 1
Computer vision and artificial intelligence system for real-time detection of the use of personal protective equipment in industrial environments
提出基于YOLOv8和树莓派的实时个人防护装备检测系统，准确率96.5%。
AshGdNutDefAM: Machine-learning-based multi-feature framework for nutrient deficiency detection and classification in Ash gourd Plant
提出AshGdNutDefAM多特征机器学习框架，自动检测和分类冬瓜缺镁缺铁症状。
Multi-Species Egg Morphometry and Weight Prediction Using Computer Vision
Multi-Species Egg Morphometry and Weight Prediction Using Computer Vision。Research Square
International Journal of Electrical and Electronics Engineering·9月14日 · 周一77 分 论文农业AI与大模型智慧农业 / 农业物联网阅读 2
Automated Cocoa Bean Classification and Defect Detection Based on ASEAN Standard Using Image Processing and Feature-Based Analysis
基于图像处理与特征分析，按东盟标准自动分类可可豆并检测缺陷。
Evaluation of hybrid models based on image segmentation and inference for pig weight estimation
用YOLOv8n-seg分割猪体并提取EfficientNet特征，结合回归模型实现非侵入式猪体重估
Artificial Intelligence-Driven Anti-Poaching Surveillance Systems: A Review of Advances, Challenges, and Future Directions
综述AI、物联网与无人机等智能技术在反盗猎监测中的进展、挑战与未来方向。
ABUAD Journal of Engineering Research and Development (AJERD)·9月12日 · 周六71 分 论文农业AI与大模型农业人工智能与决策模型阅读 2
Quality Assessment of Scotch Bonnet Pepper (Capsicum Chinense Jacq) Using Image Processing Techniques
用图像处理和CNN/SVM/逻辑回归对苏格兰帽椒进行好坏二分类质量分级。
Spectral Transforms as a Tool to Optimize Digital Phenotyping in Biological Images
用离散小波变换提取蛋壳图像多尺度空间特征，实现小样本高效数字表型。
Wild rice kernel inspection using a prompt-guided vision language model with evidence-grounded reasoning
用提示引导的视觉语言模型对野生稻米粒进行检测，并给出基于证据的推理。
Two Decades of Computer Vision in Precision Livestock Farming: an Umbrella Review of Applications, Benchmarking Evidence, and the Performance-to-Deployment Gap Across Cattle, Pig, and Poultry Systems
伞式综述112篇综述，梳理牛猪禽精准养殖计算机视觉应用与部署差距。
Knowledge-guided machine learning in computer vision: A systematic survey and taxonomy (2014-2025)
系统综述2014-2025年计算机视觉中知识引导机器学习，提出分类法并分析286篇研究。
Identifying mounting behaviour in boars using deep learning-based instance segmentation and binary classification - a pilot study
提出基于Mask R-CNN和SVM的猪爬跨行为自动检测方法，实现群养公猪连续监测。
The Evolution of Image Segmentation from Classical Techniques to Deep Learning: A Survey
综述图像分割从经典方法到深度学习的演变，比较精度、计算成本和速度。
Video-based fruit detection and tracking: effects of scanning conditions on fruit load estimation
研究视频多目标跟踪系统在不同扫描条件下估算苹果产量的性能。
Monitorización continua y autónoma de árboles frutales mediante imagen
用固定可见光传感器和AI视觉技术，连续监测柑橘果实生长与成熟。