Deep Learning-Based Small-Object Detection in UAV Imagery: A Symmetry-Informed Review of Scale Variation and Scenario Constraints
综述无人机图像小目标检测的深度学习研究，提出对称性视角与三层框架。
农业AI与大模型
人工智能算法、大模型与决策支持系统
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High-resolution land cover mapping from coarse labels via a noisy label learning-guided cross-scale framework
提出噪声标签学习引导的跨尺度框架，用低分辨率粗标签生成高分辨率土地覆盖图。
Toward scalable organ-level 3D plant segmentation: A systematic and quantitative review through the lens of the data-algorithm-computing triangle
系统综述植物器官级3D分割，提出数据-算法-算力三角框架并开源基准平台PSS。
基于深度学习数据增强技术的肉牛行为识别 与养殖状态评估研究
比较四种骨干网络并做数据增强消融，实现9类肉牛行为识别与养殖状态评估。
Zenodo (CERN European Organization for Nuclear Research)·9月16日 · 周三77 分 论文物联网传感与边缘计算智慧农业 / 农业物联网2 个信源同时报道 阅读 1
IoT-Enabled Sensor Applications in Smart Healthcare, Smart Agriculture, Environmental Monitoring and Smart Energy & Safety Monitoring
综述物联网传感与智能在医疗、农业、环境、能源安全四大领域的架构、算法与应用。
Fostering artificial intelligence in the livestock sector: Adoption factors and policy insights from the case of Spain
基于西班牙666家养殖场调查，用PLS-SEM分析AI采纳的影响因素与政策启示。
LeafTrackNet: A deep learning framework for robust leaf tracking in top-down plant phenotyping
提出LeafTrackNet深度学习框架，实现俯视植物表型中稳健的叶片追踪。
Machine Learning-Based Decision Support System for Greenhouse Crop Management Under Mite Infestation Conditions
为斯里兰卡温室农户开发基于机器学习的决策支持系统，预测螨害并优化作物管理。
A knowledge-guided machine learning framework for cross-scale wheat harvest monitoring via sample augmentation
提出知识引导机器学习框架，用样本增强实现田块到区域尺度的冬小麦收获监测。
Automated Machine Learning-Driven UAV Remote Sensing for Accurate Winter Wheat Water Content Prediction
用无人机多光谱、RGB和热红外遥感结合AutoML预测冬小麦含水量。
Red-Edge Information in Agricultural Remote Sensing: From Spectral Theory to Explainable Machine Learning
综述红边遥感在农业中的物理基础、条件依赖性与可解释机器学习中的新角色。
Application of Remote Sensing and Machine Learning in Sustainable Agriculture
综述遥感与机器学习在可持续农业中的应用现状与前景。
DeepPhenoTree-Apple Edition: a multi-site apple phenology RGB annotated dataset with deep learning baseline models
发布多站点多品种苹果物候RGB图像数据集，并给出深度学习基线检测模型。
Artificial intelligence and food insecurity: opportunities, risks, and equity pathways for the Global South
系统综述64项研究，分析AI在全球南方粮食安全中的机遇、风险与公平路径。
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。
IoT-RiceMobileNet: An improved lightweight MobileNetV2 Model for real-time multi-class rice disease detection using IoT
提出轻量级IoT-RiceMobileNet模型，实现水稻病害实时多类检测。
Artificial Intelligence for Environmental Resilience and Sustainable Innovation
系统综述AI在环境韧性与可持续创新中的应用、趋势与挑战。
Multi-omics and artificial intelligence for climate-resilient and nutrient-enriched food crops: advances, applications and future perspectives
综述AI赋能多组学、基因编辑与精准农业，培育气候韧性与营养强化作物。
A deep learning-enhanced vision system for precision target spraying in chinese cabbage cultivation
A deep learning-enhanced vision system for precision target spraying in chinese cabbage cultivation。Precision Agriculture
Mastitis detection in dairy cows with varying postures using infrared thermography based on YOLOv8n-improved and random forest models
用改进YOLOv8n与随机森林，通过红外热成像实现奶牛不同姿态下的乳腺炎自动检测。