MACHINE LEARNING DRIVEN CROP YIELD PREDICTION AND AGRICULTURE DECISION SUPPORT SYSTEM USING HISTORICAL WEATHER, SOIL AND SATELLITE DATA FOR INDIAN FARMERS
构建县级多源数据融合的作物产量预测与决策支持系统，服务印度农民。
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Artificial intelligence (AI) in precision agriculture and resource efficiency: a bibliometric and natural language processing analysis
用文献计量与NLP分析598篇文献，梳理AI精准农业与资源效率研究结构。
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四川省农科院遥感与数字农业所“水稻无人插秧”项目获数据要素大赛现代农业赛道三等奖
10月23日2026年“数据要素×”大赛全国总决赛颁奖，四川省农科院遥感与数字农业研究所牵头研制的“模数共振破解水稻无人插秧”项目获现代农业赛道三等奖。项目形成28万个遥感样本，研发插秧机智驾星，今年销售150台套、无人插秧12万亩。
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Cabbage yield estimation with multi‐view convolutional neural networks from UAV‐derived point clouds
用无人机点云生成多视角投影图，结合多视角CNN估测甘蓝单株产量。
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Framework for Adaptive Multimodal Learning to Provide Interpretable and Climate-Aware Crop Recommendations in Precision Agriculture
提出基于Perceiver IO的多模态作物推荐框架，融合土壤、气候与遥感影像。
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A physics-constrained superpixel-based multi-source remote sensing spatiotemporal fusion network
提出SPP-STF网络，用物理约束与超像素实现多源遥感时空融合。
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Certified Temporal Fusion of Artificial Intelligence Climate Analytics for Crop Failure Early Warning Under Sparse Agricultural Sensors: Error Bounds and Famine Relief Targeting
提出带误差界的时间融合框架，在稀疏传感器下用气候分析预警作物歉收。
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Evaluation of Counterfactual Explanation Robustness for Computer Vision Agriculture Yield-Forecast Models Under Satellite Cloud-Mask Gaps: An Interpretability Reliability Bound for Cooperative Storage Decisions
推导卫星云掩膜缺口下反事实解释可靠性的理论界，并评估其对合作社储粮决策的影响。
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Dynamic thermal imaging for crop water stress detection across phenological stages: Enhancing irrigation scheduling precision
综述物候期对热成像CWSI阈值的影响，提出物候感知灌溉调度框架。
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Rice Yield Prediction Using Multi-Modal Regression Learning with Optimized Ensemble Models
构建多模态回归学习框架，融合气候、遥感与作物因子，实现水稻产量连续预测。
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IMPLEMENTATION OF META-HEURISTIC OPTIMIZATION ALGORITHMS IN CONVOLUTIONAL NEURAL NETWORKS FOR OBJECT DETECTION AND CLASSIFICATION
综述元启发式算法嵌入CNN流程以优化目标检测与分类的研究进展。
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Modeling the global potential of smart farming innovations
全球5公里尺度评估五类智慧农业创新在农田的盈利性与扩散潜力。
精选93 分
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BTSR-Net: Boundary–topology guided structural refinement for high-resolution remote sensing image segmentation
提出BTSR-Net，用边界与拓扑引导提升高分辨率遥感影像分割的结构连续性。
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A lightweight hybrid network with inverted residuals and state space model for remote sensing image segmentation
提出IRUM-Net混合网络，结合Mamba与CNN实现遥感图像轻量高精度语义分割。
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QISHLOQ XO‘JALIGI OLIY TA’LIM MUASSASALARIDA MAXSUS FANLARNI O‘QITISHDA “SMART AGRICULTURE” TEXNOLOGIYALARIDAN FOYDALANISH METODIKASI
研究将智慧农业技术融入农业高校专业课程教学的方法论。
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Mapping Soil Salinity in Arid Agricultural Regions Using Multi-Source Remote Sensing and a Long-Range Dependency-Enhanced Deep Learning Framework
提出LRD-Net深度学习框架，融合多源遥感与环境协变量，估算新疆干旱绿洲区土壤盐分。
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Hierarchical cross-modal spatiotemporal attention network for crop yield prediction in complex Himalayan agroecosystems
提出分层跨模态时空注意力网络HCM-STAN，融合多源农业数据预测喜马拉雅山区苹果产量。
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Barley head detection using UAV imagery and YOLOv10
Barley head detection using UAV imagery and YOLOv10。Precision Agriculture
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Feature-level fusion of Sentinel-1 SAR and Sentinel-2 optical imagery for crop-type mapping in humid tropical mountainous terrain
融合Sentinel-1 SAR与Sentinel-2光学特征，在印尼热带山地实现93%精度的作物类
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Multi-Source Remote Sensing Fusion and Deep Learning for Intelligent Precision Agriculture
综述多源遥感融合与深度学习在精准农业感知-决策-执行框架中的应用与趋势。
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