SMART CROP SELECTION MODEL USING SOIL PH VALUE, TEMPERATURE, HUMIDITY, AND RAINFALL PREDICTION
基于土壤pH、温湿度和降雨，用机器学习构建智能选种模型并开发交互式仪表板。
农业AI与大模型
人工智能算法、大模型与决策支持系统
技术筛选
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Tomato ripeness classification with weight-based and texture-adaptive pooling in CNNs
提出基于纹理自适应模糊池化机制，提升CNN番茄成熟度分类性能。
A multimodal context-aware AI recommender for smart farming
提出融合玉米叶片图像与气象数据的多模态AI推荐框架，实现病害诊断与农事建议生成。
Artificial Intelligence and Internet of Things in Smart Agriculture: A Bibliometric and Thematic Review of Data Infrastructures and Sustainability Implications
综述2017-2025年441篇文献，梳理AI与IoT在智慧农业中的数据基础设施与可持续性。
PROSAIL-DNN-TL: A Hyperspectral Inversion Framework for Winter Wheat Leaf Chlorophyll Content Based on Fine-Tuned Transfer Learning
提出PROSAIL-DNN-TL框架，用PROSAIL模拟数据预训练DNN并全网络微调，反演冬小麦叶
A multimodal deep learning for rice crop health monitoring using vegetation index feature selection
融合Sentinel-1/2植被指数与气象数据，用多模态深度学习监测水稻健康。
Animal welfare in the world of digitalization: Computer Vision in the context of foundational structures
论文论证计算机视觉用于动物福利时，伦理问题须置于社会基础结构中理解。
Fuzzy-guided hyperparameter optimization for efficient CNN-based plant disease classification
提出模糊推理系统引导的CNN超参数优化方法，用于植物病害分类，兼顾精度与效率。
A stage-weighted environmental risk and visual severity integration model for climate-smart management of cassava anthracnose in humid tropical systems
构建木薯炭疽病阶段加权风险指数CARI，融合环境传感与目测病情，实现气候智慧型预警。
Artificial intelligence driven framework for enhancing sustainability and resilience in communal cattle insurance in Lupane District Zimbabwe
研究提出AI驱动的三模块框架，以提升津巴布韦Lupane地区社区牛保险的可持续性和韧性。
International Journal for Research in Applied Science and Engineering Technology·10月7日 · 周三55 分 论文物联网传感与边缘计算智慧农业 / 农业物联网阅读 1
AI-Enabled Sustainable Precision Farming Using Raspberry Pi and Coral Edge TPU with Cloud-Based Model Training
提出基于树莓派与Coral Edge TPU的边缘AI精准农业系统，实现作物状态分类与实时决策。
Afyon Kocatepe University Journal of Sciences and Engineering·10月6日 · 周二61 分 论文农业AI与大模型农业人工智能与决策模型阅读 1
Exploratory Explainable Machine Learning for Crop-Yield Interpretation: A Comparative Analysis of XGBoost, LightGBM, and CatBoost
比较XGBoost、LightGBM和CatBoost在作物产量可解释建模中的表现，强调评估协议与数
AI-Driven Crop Recommendation and Growth Prediction System Using Soil Fertility and Climate Intelligence
构建集成作物推荐、产量预测、肥料建议与多语言问答的AI农业决策Web平台。
APPLICATION POTENTIAL OF UNMANNED AERIAL VEHICLES AND TRENDS IN THEIR DEVELOPMENT
综述无人机应用潜力与发展趋势，强调其向自主化、网络化、数据驱动系统演进。
MELSpace (ICARDA (The International Center for Agricultural Research in Dry Areas))·10月5日 · 周一80 分 论文土壤健康与改良智慧农业 / 农业物联网2 个信源同时报道 阅读 4
Rhizosphere Microbiome Engineering for Climate-Smart Agriculture: From Synthetic Consortia to Precision Decision Support
综述根际微生物组工程，提出DBTL框架设计合成菌群，并融合精准农业与AI实现气候智慧型农业。
International Journal of Innovative Science and Research Technology (IJISRT)·10月6日 · 周二58 分 论文农业AI与大模型智慧农业 / 农业物联网阅读 1
KRISHI AI an AI and IoT-Enabled Smart Agricultural Decision Support and Equipment Management System
开发KRISHI AI平台，集成AI与IoT提供作物推荐、病害识别、天气信息和农机租赁服务。
Bridging the performance–efficiency gap: a resource-efficient hybrid DL-ML framework for jackfruit disease detection
提出轻量CNN与EfficientNet-B0混合特征提取、PCA降维和堆叠集成分类的菠萝蜜病害检测
Improving early season crop type mapping using machine learning algorithms with combined SAR and optical time series
融合Sentinel-1 SAR与Sentinel-2光学时序，用集成机器学习实现印度早季作物类型高
Machine-learning modelling of regional landslide susceptibility in eThekwini, South Africa
用随机森林与支持向量机评估南非eThekwini地区滑坡易发性并分析住房风险。
Comprehensive remote sensing and machine learning framework for multi-regional rice yield forecasting under hydroclimatic variability in Sahelian Niger
结合遥感植被指数与机器学习，预测尼日尔萨赫勒四地区2010–2025年水稻产量。