[预印本] From extreme weather to agricultural consequences with agentic AI
提出WxCrop智能体，融合气象指数与因果推断，预测极端天气下的作物损失。
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#作物损失预测
沿着“作物损失预测”继续探索，共 1 条内容。
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没有这个标签，内容接近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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Artificial Intelligence for Environmental Monitoring and Sustainable Development
探讨AI在环境监测与可持续发展中的作用，聚焦尼日利亚，涵盖遥感、水质、废物管理等应用。
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[预印本] Crop Yield Prediction Using Regression Models: A Comparative Evaluation of Model Performance
在百万级观测数据上比较五种回归模型的作物产量预测性能。
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Ai Based Smart Crop Recommendation and Yield Prediction Using Ml and Weather Analytics
提出AI框架，结合机器学习与天气分析，推荐作物并预测产量。
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A real-time risk assessment framework for maize chilling injury in Northeast China: Integrating the CERES-Maize model and a daily-scale cumulative temperature deficit index
A real-time risk assessment framework for maize chilling injury in Northeast China: Integrating the CERES-Maize model and a daily-scale cumulative temperature deficit index。Agricultural Systems
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该框架以日尺度积温亏缺指数结合CERES-Maize模型实现玉米冷害实时风险分级，适用于东北春玉米区生长季动态预警，其精度依赖本地化模型参数与气象数据质量。
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AI-Powered Early Detection of Crop Diseases and Pest Infestations: A New Paradigm for Plantation Risk Management
综述AI（CNN、ViT、无人机遥感、物联网）用于作物病虫害早期检测并融入种植园风险管理。
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Pre-symptomatic crop intelligence: a closed-loop framework for anticipatory, confidence-aware decision-making in site-specific crop protection
综述提出症状前作物智能闭环框架，以提前期、置信度与响应延迟组织决策。
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Effects of within-season temporal aggregation of weather variables on performance and interpretability in rice yield machine learning models
评估生长季内天气变量时间聚合粒度对水稻产量机器学习模型预测与可解释性的影响。
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