Hybrid deep ensemble learning for crop disease prediction and climate-resilient disaster management in smart agriculture
提出混合深度集成框架，融合CNN与LSTM并引入注意力机制，实现作物病害预测与气候韧性灾害管理。
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Integrating indigenous knowledge systems into regenerative agriculture for sustainable crop production in southern Africa
综述37篇文献，论证南部非洲本土知识可支撑再生农业与可持续作物生产。
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Agri digital twin–driven intelligent computing framework for real-time crop yield forecasting and sustainable decision support
提出农业数字孪生框架，结合GRU与物联网实现实时产量预测与可持续决策支持。
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Climate Experience and Climate-smart Agriculture Adoption among Smallholder Farmers in Southwestern Nigeria
研究尼日利亚西南小农户气候变化经历与气候智慧型农业采纳的关联。
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Explainable optimized deep learning and generative AI based framework for finger millet disease detection in smart agriculture
提出融合深度学习、可解释AI与生成式AI的指状粟病害检测框架，实现高精度识别与决策支持。
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Land suitability assessment for irrigated lentil cultivation in Southwest Shewa Zone, Ethiopia using remote sensing, GIS, and the analytic hierarchy process
用遥感、GIS与AHP评估埃塞俄比亚西南绍阿区灌溉扁豆种植土地适宜性并制图。
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AI-driven agricultural economics and farm decision support systems
综述AI在农业经济学和农场决策支持系统中的应用，涵盖技术、挑战与未来方向。
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Digital Twins for Sustainable Groundwater Resources Management: From Monitoring and Prediction to Governance and Resilience—A Review
综述数字孪生在地下水可持续管理中的应用，从监测预测到治理韧性。
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