Estimation of Soil Water Content in Winter Wheat Field at Jointing Stage Using Multi-Source Features and Machine Learning
融合WCM物理特征与多源遥感，用机器学习估算冬小麦拔节期土壤含水量。
土壤健康与改良
土壤理化生物性状、盐碱地治理与固碳
同领域方向
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Architecture diverse TabNet ensemble for crop type classification using harmonized multisource soil data（基于多源土壤数据融合的架构多样性TabNet集成作物类型分类）
构建架构多样性TabNet集成，用多源土壤数据分类7类作物。
Spatial Modeling of Topsoil Total Carbon and Texture from Spectral Characteristics of Bare Soil Surface Images of Landsat 5/8 Using Machine Learning
用Landsat 5/8裸土光谱指数识别裸土并机器学习建模表层土壤质地与全碳。
Applications of Artificial Intelligence in Soil Characterization and Agriculture: A Systematic Review
系统综述2018-2026年196项AI用于土壤特性与农业的研究。
Machine learning reveals distinct drivers of soil organic carbon across the mountain-oasis-desert system of northwest China
构建基于生态系统的机器学习框架，预测西北荒漠-绿洲-山地系统土壤有机碳并识别各子系统驱动因子。
Hyperspectral inversion of soil total nitrogen content using spectral and machine learning
用高光谱与机器学习反演陕北农牧交错带农田土壤全氮含量。
Evaluating Reference Evapotranspiration and Soil Moisture as Predictors for Machine Learning-Based Actual Evapotranspiration Estimation: Model Performance and Explainability
评估ET0与土壤湿度对机器学习估算实际蒸散的影响及可解释性。
Approaches to forecast soil nutrient dynamics for precision agriculture and sustainable fertiliser management: A review
综述土壤养分动态预测的统计与机器学习方法，比较精度与局限。
Geostatistics and Spatial Modelling in Soil Science: A Critical Appraisal of Methods, Advantages, Inconveniences and Applications
综述地统计学与混合空间建模在土壤科学中的方法、优势、局限及应用，指出其与机器学习融合是未来方向。
Integrating multi-source data and support vector machine to assess the spatio-temporal pattern of land degradation in the Eastern Cape of South Africa
用Landsat与SVM评估南非Keiskamma流域2005-2025年土地退化时空格局。
Effects of Noise on the Accuracy of Estimating Rootzone Total Soil Moisture Using a Non‐Linear Autoregressive Exogenous Machine Learning Model for Precision Agriculture
该论文评估了测量噪声对NARX机器学习模型估算根区土壤水分动态精度的影响。
Optimizing biochar application strategies to improve soil properties and crop productivity in salt-affected croplands: Evidence from a global meta-analysis and machine learning approach
Optimizing biochar application strategies to improve soil properties and crop productivity in salt-affected croplands: Evidence from a global meta-analysis and machine learning approach。Agricultural Systems
Estimation of Soil Total Nitrogen in Hemerocallis citrina Across Multiple Phenological Stages Using Partitioned Feature Bands
研究利用多传感器模拟光谱和三维指数，结合GA-BPNN，分物候期估算黄花菜土壤全氮，提高精度。
APPLICATION OF ARTIFICIAL INTELLIGENCE IN SOIL FERTILITY ASSESSMENT AND CROP YIELD PREDICTION IN SOUTHWEST NIGERIA: A STATISTICAL APPROACH
研究AI在尼日利亚西南部土壤肥力评估和作物产量预测中的应用，发现随机森林模型表现最佳。
Machine-Learning Surrogate Modeling of SOC and N2O Responses to Diversified Crop Rotations in the Texas High Plains
用机器学习代理模型预测多样化轮作对SOC和N2O的影响，识别气候智能管理区域。
International Journal of Computer Information Systems and Industrial Management Applications·8月30日 · 周日73 分 论文农业AI与大模型农业人工智能与决策模型阅读 2
Explainable Machine Learning for Simultaneous Prediction of Soil Texture and Gravimetric Water Content: A SHAP-Driven Multi-Model Framework
提出可解释机器学习框架，同时预测土壤质地和含水量，提升模型透明度和可信度。