arXiv cs.CL· Asaduz Zaman, Mohaimenul Azam Khan Raiaan, Malika Nisal Ratnayake·· 13 小时前AI 评分18
计算机视觉与知识增强语言模型驱动的智能养蜂辅助系统
Computer Vision and Knowledge-Grounded Language Models for Intelligent Beekeeper Assistance
AI 导读
研究提出一套可边缘部署的智能养蜂辅助流程，将蜂巢框照片经目标检测转为结构化事实，再生成受约束的事实文本并触发知识库，输出可解释、可操作的检查报告。系统基于开源 FAIRHiveFrames-1K 数据集构建，优先采用可复现的边缘部署模型而非大型通用前沿模型，并额外发布 FAIRHiveText-1K 数据集，将图像数据转为可互换的事实与文本解释。
正文 · 原文
Abstract:Managed and wild bees sustain roughly a third of the global food products, yet colonies face mounting stress from climate-change including extreme weather patterns, altered parasite and disease patterns. Timely assessment of colony condition such as understanding colony strength, brood area, honey and pollen storage, comb usage, is essential to adaptive management. However, manual hive frame inspection is slow, costly, and quality depends on scarce expertise. We present an artificial targeted intelligent system framework focusing on edge deployable pipeline that turns hive frame photographs into interpretable and action-oriented inspection report. The pipeline includes an object detector to detect biologically-meaningful comb-cell classes; detections are distilled into structured fact schema; facts are converted into constrained factual text; the text triggers a grounded knowledge-base for interpretations and recommendations. Knowledge-base entries are required to be triggerable by evidence expressed in the fact schema. We built our system based on open source FAIRHiveFrames-1K dataset and favour reproducible, edge-deployable models over large general purpose frontier models. We additionally release FAIRHiveText-1K dataset that turns FAIRHiveFrames-1K dataset into interchangeable facts and text interpretation of the facts, making it easy for further LLM-based research into this area. We also propose a pathway to develop the grounded knowledge-base that will be helpful in providing interpretable and actionable reports from the facts.
| Subjects: | Computer Vision and Pattern Recognition (cs.CV); Computation and Language (cs.CL) |
| Cite as: | arXiv:2610.29283 [cs.CV] |
| (or arXiv:2610.29283v1 [cs.CV] for this version) | |
| https://doi.org/10.48550/arXiv.2610.29283 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Asaduz Zaman [view email]
[v1]
Wed, 21 Oct 2026 06:36:55 UTC (49 KB)
来源：arXiv cs.CL · arxiv.org