MetaMamba: Meta-learning with mamba for few-shot vegetation species classification using UAV-based hyperspectral imagery in desert rangeland
提出MetaMamba方法，结合元学习与Mamba，实现荒漠草原无人机高光谱影像少样本植被物种分类。
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关键词 · 相关资讯与研究
#农业AI
沿着“农业AI”继续探索，共 1,187 条内容。
An Improved Transformer-KAN Model for Soybean Mapping Based on Multi-Temporal Remote Sensing Data
提出改进的Transformer-KAN模型，基于多时相遥感数据实现高精度、可迁移的大豆种植区制图。
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A dictionary-based method for crop yield prediction using satellite remote sensing data
提出基于HYDRA字典方法的机器学习框架，结合物候特征预测玉米产量。
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SFNL-Former: A Novel Spatial-Frequency Non-local Network for Precipitation Forecast
提出SFNL-Former网络，通过空间-频率分离和长程建模提升降水预报精度。
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Hyperspectral Imaging for Disease Detection in Wheat Crops: A Comprehensive Survey
综述高光谱成像在小麦病害检测中的应用，涵盖方法、挑战与未来方向。
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RGB-based phenotyping of grapevine leaves reveals stronger cultivar discrimination on the abaxial surface
比较葡萄叶片上下表面颜色特征，发现下表面更能区分品种。
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Smart Agriculture with Quantum Intelligence and Blockchain Security
提出量子启发遗传算法与区块链结合，用于农业物联网中可信且节能的簇头选择。
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A Survey on Data-Driven Demand Forecasting and Decision Support Systems for Agrochemical Supply Chain Management
综述数据驱动的农化供应链需求预测与决策支持系统，分析统计、ML/DL等方法并指出未来方向。
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Oil Palm Detection from High Resolution Remote Sensing Imagery with Improved YOLO Deep Learning Frameworks
改进YOLO11模型，集成注意力机制提升油棕树遥感检测精度与泛化能力。
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Machine Learning-Based Crop Yield Forecasting Using Environmental and Agricultural Parameters
用机器学习集成方法预测作物产量，比较七种回归算法，发现Bagging效果最佳。
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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。
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Digital ergonomics and AI-based evaluation in agricultural work systems
综述数字技术与AI在农业工效学评估中的应用，旨在减少肌肉骨骼损伤。
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Explainable Deep Learning-Based Potato Leaf Disease Detection and Severity Assessment for Smart Agriculture in Bangladesh
Explainable Deep Learning-Based Potato Leaf Disease Detection and Severity Assessment for Smart Agriculture in Bangladesh。Research Square
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CFAEVM-UNet: cross-fusion attention enhanced VM-UNet for UAV image segmentation of small and dense field crop pests
提出CFAEVM-UNet模型，用于无人机图像中密集小害虫的精确分割。
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Machine-Learning Surrogate Modeling of SOC and N2O Responses to Diversified Crop Rotations in the Texas High Plains
用机器学习代理模型预测多样化轮作对SOC和N2O的影响，识别气候智能管理区域。
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AI-Enabled IoT for Precision Agriculture and Smart Crop Management
综述AI与IoT在精准农业中的应用，涵盖传感、灌溉、病害检测等，并给出原型架构。
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Instance Segmentation and Multi-Object Tracking for Fruit Quality Grading and Dynamic Yield Estimation in Egyptian Citrus Orchards
构建柑橘果园AI框架，实现果实质量分级与动态产量估计，并评估多种分割与跟踪模型。
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From Visual Words to Vision Transformers: Dual Approaches to Water Stress Classification in Maize
比较Swin Transformer与手工特征BPNN在玉米水分胁迫RGB图像分类中的表现，两者均达
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A machine learning model for estimating tree age based on trunk radius and radial growth rate
提出基于树干半径和径向生长率的机器学习模型，实现多树种年龄估算。
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Assessing social stress in Nile tilapia through AI behavioral analysis and biosensor integration
结合AI行为分析与生物传感器评估尼罗罗非鱼的社会应激。
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