Spatiotemporal Deep Learning for Rice Plant Height Estimation from Multi-Temporal UAV RGB Imagery
提出Rice-STNet时空深度学习框架，用多时相无人机RGB影像估算水稻株高。
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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International Journal of Innovative Research in Engineering·9月21日 · 周一59 分 论文农业AI与大模型智慧农业 / 农业物联网阅读 3
Artificial Intelligence in Plant Disease Detection: An Introduction to Intelligent and Automated Crop Health Monitoring
综述AI在植物病害检测中的应用，涵盖图像采集到模型评估全流程及未来趋势。
Explainable optimized deep learning and generative AI based framework for finger millet disease detection in smart agriculture
提出融合深度学习、可解释AI与生成式AI的指状粟病害检测框架，实现高精度识别与决策支持。
An integrated IoT and machine learning framework for maize yield prediction and smart agriculture in Tanzania
An integrated IoT and machine learning framework for maize yield prediction and smart agriculture in Tanzania。Cogent Food & Agriculture
From patterns to prediction: detecting crop sequence and interpreting crop selection with explainable AI at field level in Denmark
用丹麦十年田块数据识别轮作模式并预测年度作物选择。
DAC-Grad-CAM: Defect-aware explainable AI for automated mango quality classification
提出DAC-Grad-CAM可解释框架，实现芒果缺陷感知分类与定量验证。
Water stress detection from plant electrophysiology: A machine learning framework for irrigation management
利用番茄电生理信号与机器学习实现水分胁迫早期在线检测。
CropRowSeg: A Lightweight Model for Seedling Crop Row Image Segmentation Combining Multi-scale CNN and Transformer（融合多尺度 CNN 与 Transformer 的苗期作物行图像轻量化分割模型）
提出轻量级作物行分割模型CropRowSeg，并设计中心线引导的条带标注方法。
Automated detection of visible venation patterns in cowpea leaves under agricultural engineering
用RGB卷积神经网络自动分类豇豆叶片可见脉纹，区分健康与结构胁迫样本。
A MULTIMODAL FRAMEWORK FOR LIVESTOCK DETECTION AND EPIZOOTIC MONITORING
提出多模态计算机视觉框架，用无人机和地面图像检测牛羊并监测疫情。
INTERNATIONAL JOURNAL OF MEDICAL EVALUATION AND PHYSICAL REPORT·9月18日 · 周五69 分 论文农业AI与大模型智慧农业 / 农业物联网阅读 0
Enhancing Maternal and Child Health in Rural Areas Through AI and Mobile Health Solutions
探讨AI与移动健康方案提升农村母婴健康，涵盖预测分析、远程监测与健康教育。
Assessment of mechanical damage in canola using X-ray radiography and deep learning
用X射线成像结合机器学习与深度学习，无损分类油菜籽机械损伤等级。
基于双路径注意力与多尺度融合的作物病虫害识别网络DPMFNet
提出轻量级双路径网络DPMFNet，实现复杂农田场景下的作物病虫害高精度识别。
基于Flor-YOLO的香石竹鲜切花分级轻量化检测方法
提出轻量化Flor-YOLO模型，实现香石竹鲜切花开放度自动分级检测。
Automated seedling vigor estimation in cucumbers using digital image processing
用YOLOv8检测黄瓜真叶并结合多元回归，实现幼苗活力指数无损预测。
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。
A comprehensive review of deep learning methods for weed classification in precision agriculture
综述2018-2025年深度学习杂草分类方法，分析技术瓶颈并给出改进建议。
Advances in Bioacoustics Sensing and Signal Processing Technologies
综述生物声学传感与信号处理进展，涵盖医疗、生态与农业应用。
AI-enabled UAV-based Soil Organic Carbon Mapping in Arid Environments: A Pilot Study Protocol
提出一套无人机高光谱结合AI的干旱区土壤有机碳制图标准化试点方案。
Rule-driven functional zoning index prediction for sustainable agricultural landscapes design based on multimodal fusion deep learning
构建规则驱动农业景观功能分区指数，并用多模态融合深度学习实现自动预测。