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。
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9月20日 · 周日
20 条Forecasting cocoa export volumes in Indonesia using remote sensing, climate variability, and economic indicators: A comparative modeling approach
融合遥感、气候与经济指标，比较多种模型预测印尼可可出口量，XGBoost表现最佳。
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Assessing spatial suitability and climate resilience of agroforestry systems in the Indian Himalaya of Uttarakhand using remote sensing and artificial neural networks
结合遥感、GIS与人工神经网络评估印度喜马拉雅地区农林复合系统的空间适宜性与气候韧性。
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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。
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SPATIO-TEMPORAL DYNAMICS OF LAND USE AND LAND COVER IN A GRANITE QUARRYING AREA IN MANÉAH, GUINEA: A REMOTE SENSING AND GIS-BASED ANALYSIS FROM 1980 TO 2024
基于遥感与GIS分析几内亚Manéah采石区1980-2024年土地利用与覆盖的时空变化。
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Deep learning-driven multisource remote sensing image fusion: Advances, challenges, and future directions
综述深度学习多源遥感图像融合方法、挑战与未来方向。
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Drought dynamics and climatic drivers in the Tarim Basin using remote sensing indices and pixel-wise machine learning
基于遥感指数与逐像元机器学习，量化塔里木盆地2000—2024年干旱动态及气候驱动因子。
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A Hybrid CNN–Transformer–LSTM Deep Learning Framework for Automated Cotton Disease Detection
提出CNN-Transformer-LSTM混合框架，实现棉花叶片病害自动识别。
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Climate Change and Food Security in Africa: Harnessing Responsible AI for Sustainable Agricultural Transformation
通过定性分析25篇文献，探讨如何负责任地利用AI推动非洲气候适应型农业与粮食安全。
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TEKNO Method: Total Evaluation based on Knowledge-driven Normalized Optimization for Multi-Criteria Decision Making
提出TEKNO多准则决策方法，统一归一化、加权与优化，实现稳定排序。
智慧农业 / 农业物联网论文
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Modeling the effects of livestock rotation frequency on forage production and soil carbon using a spatially explicit grazing distribution
改进MEMS模型模拟放牧分布，评估轮牧频率对牧草生产和土壤碳的影响。
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Green Climate Smart Agriculture For Sustainable Farming
Green Climate Smart Agriculture For Sustainable Farming。OpenAlex
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Climate-smart agriculture in Gilgit- Baltistan
Climate-smart agriculture in Gilgit- Baltistan。OpenAlex
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A CNN-Based Approach for Leaf Disease Prediction in Smart Agriculture
用CNN对植物叶片病害进行自动识别，在基准数据集上取得92%准确率。
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**The Hidden Physical Cost of Artificial Intelligence: A Materials Science and Engineering Optimization Perspective on AI Infrastructure, Resource Constraints, and Sustainable Innovation in India**
揭示AI并非云端无形，而是依赖电力、水和关键矿产的实体基础设施，并以印度为例探讨可持续创新。
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Wireless Sensor Network Intrusion Detection: A Review of Statistical, Machine Learning, and Federated Methods
综述无线传感器网络入侵检测从统计到机器学习、深度学习、可解释AI与联邦学习的方法演进与挑战。
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UNDERSTANDING THE CONSTRAINTS OF CLIMATE-SMART AGRICULTURE AMONG SMALLHOLDER FARMERS IN SOUTHWESTERN NIGERIA
研究尼日利亚小农户实施气候智慧农业的意愿、制约因素与支持需求。
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SMALLHOLDER FARMERS' PERCEPTIONS AND USE OF CLIMATE-SMART AGRICULTURAL PRACTICES IN SOUTHWESTERN NIGERIA
研究尼日利亚小农户对气候智慧农业的认知、采用意愿与实际使用及其影响因素。
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A REAL-TİME AI-DRİVEN AGRİCULTURAL ROVER INTEGRATİNG PLANT DİSEASE DETECTİON AND GEO-REFERENCED SOİL MOİSTURE ANALYSİS
开发实时AI农业机器人，集成植物病害检测与地理参考土壤湿度分析。
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Biochar 2.0 in Climate-Smart Agriculture: A Critical Review of Designer Biochars, Soil Microbiome Responses, Nutrient-Use Efficiency and Greenhouse-Gas Mitigation
综述设计型生物炭在气候智慧农业中的效果，指出其农艺与减排效益高度依赖土壤气候条件。
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