MACHINE LEARNING DRIVEN CROP YIELD PREDICTION AND AGRICULTURE DECISION SUPPORT SYSTEM USING HISTORICAL WEATHER, SOIL AND SATELLITE DATA FOR INDIAN FARMERS
构建县级多源数据融合的作物产量预测与决策支持系统，服务印度农民。
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Calibration-Shift Inference for Computer Vision Agriculture Yield Models Under Retrofit Sensor Replacement: An Artificial Intelligence Post-Deployment Recalibration Guarantee
提出改造传感器替换后视觉产量模型校准漂移的检测与置信区间保证方法。
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Evaluation of Counterfactual Explanation Robustness for Computer Vision Agriculture Yield-Forecast Models Under Satellite Cloud-Mask Gaps: An Interpretability Reliability Bound for Cooperative Storage Decisions
推导卫星云掩膜缺口下反事实解释可靠性的理论界，并评估其对合作社储粮决策的影响。
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Rice Yield Prediction Using Multi-Modal Regression Learning with Optimized Ensemble Models
构建多模态回归学习框架，融合气候、遥感与作物因子，实现水稻产量连续预测。
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Deep learning-based estimation of Kent mango yield by commercial export category under real field conditions in northern Peru
开发深度学习模型在真实田间条件下检测并分类肯特芒果为三个出口等级，实现产量估计。
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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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CROPINTEL DATASET: A COMPREHENSIVE AGROENVIRONMENTAL RESOURCE FOR CROP CLASSIFICATION, IRRIGATION PLANNING, AND YIELD ANALYSIS
基于CropIntel数据集，用15+种机器学习算法实现作物分类、灌溉需求预测与产量潜力预测。
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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
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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。
2 个信源阅读 0
Aerial Phenotyping of Coffee Flowering Using Deep Learning for Early Yield Prediction
用无人机RGB影像和深度学习对咖啡开花分级，实现早期产量预测。
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SPATIAL AND CLIMATE DATA ANALYSIS FOR MACHINE LEARNING-BASED CROP YIELD PREDICTION IN NORTHERN KAZAKHSTAN
用1990–2025年气候数据与机器学习模型预测哈萨克斯坦北部小麦产量。
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An Integrated Computer Vision and Machine Learning Framework for Sorghum Disease Severity Assessment and Yield Prediction
融合计算机视觉与机器学习，实现高粱病害严重度评估与产量预测。
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MBF-HybridNet：在极端气候下仍可提前一月预测冬小麦产量的多分支AI模型——Qingdao六县R² 0.756-0.765 MAPE 4.2%
提出多分支AI模型MBF-HybridNet，融合遥感、气象与土壤数据，提前一月预测冬小麦产量。
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Diag-STFN：全球收获前作物产量预测的诊断时空多模态融合网络——覆盖38国玉米29国小麦（Ecological Informatics 2026）
提出诊断式时空多模态融合网络Diag-STFN，实现全球收获前玉米小麦产量预测。
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Machine learning models combined with feature importance methods for honey yield classification: A replicable approach
构建可复现工作流，用气候变量与机器学习分类蜂蜜产量。
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YieldVision: Model-Driven Decision Support System for Crop Yield Prediction
提出YieldVision决策支持系统，用RF、LSTM及混合模型预测作物产量并部署应用。
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An integrated IoT and machine learning framework for maize yield prediction and smart agriculture in Tanzania
An integrated IoT and machine learning framework for maize yield prediction and smart agriculture in Tanzania。Cogent Food & Agriculture
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Non-Destructive Sensing and Modeling for Biomass Estimation and Yield Prediction of Protected Vegetables——综述
综述设施蔬菜生物量与产量无损感知与建模研究进展。
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A Counterfactual-Enabled Agricultural Decision Support Framework for Sustainability-Aware Groundnut Yield Prediction Using Bayesian-Optimized XGBoost
提出TSAFI-DT数字孪生框架，用贝叶斯优化XGBoost预测印度花生产量并做反事实情景分析。
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AI-Driven Transformation in Sustainable Agriculture: A Systematic Review
系统综述AI在可持续农业中的应用，分析生产力与可持续性影响及推广障碍。
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