Integrating AI and Earth Observation Data for Disaster Risk Reduction
综述AI与地球观测数据融合用于灾害风险减少的研究进展。
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#遥感AI
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没有这个标签，内容接近AI and remote sensing for fungal and oomycete disease surveillance: current landscape and biological integration
综述AI与遥感在真菌及卵菌病害监测中的现状，强调生物信息整合。
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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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Quantum machine learning for agricultural remote sensing: Capabilities, applications, and opportunities
综述量子机器学习在农业遥感中的能力、应用与机遇。
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The Changing Landscape of Plant Disease Detection: The Role of Artificial Intelligence
综述AI在植物病害检测中的应用，涵盖分类、检测、分割及早期诊断，并指出田间部署的瓶颈与新兴方向。
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Predictive Modelling of Deforestation Susceptibility in Sanjay Gandhi National Park Using Machine Learning and Remote Sensing Technologies
Predictive Modelling of Deforestation Susceptibility in Sanjay Gandhi National Park Using Machine Learning and Remote Sensing Technologies。Sensing and Imaging
农业遥感与作物表型遥感
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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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Evaluating the Influence of Landscape Structure on PM2.5 Variability: A Geospatial-remote Sensing Big Data Perspective
利用地理空间与遥感大数据，评估景观结构对PM2.5变化的影响。
农业遥感与作物表型智慧农业
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