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。
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Integrating machine learning and geospatial technologies for spatio-temporal analysis of urban expansion and land use transformation in Gambella Town, Ethiopia
用机器学习与遥感分析埃塞俄比亚甘贝拉镇2005-2025年城市扩张与土地利用变化。
Artificial intelligence in food safety: a bibliometric and empirical synthesis of emerging technologies and research frontiers
对2021-2025年2782篇文献做文献计量，梳理AI与食品安全交叉研究趋势。
MACHINE LEARNING BASED PREDICTION OF HYDROGEOLOGICAL PARAMETERS AND GROUNDWATER POTENTIAL INDEX USING GEOSPATIAL AND BOREHOLE DATA
提出融合地理空间与钻孔数据的机器学习框架，预测水文地质参数与地下水潜力指数。
A growing challenge: stakeholder perceptions of AI and ML applications in U.S. agriculture
通过问卷与访谈调查美国农业利益相关者对AI/ML应用的认知与障碍。
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。
ระบบพยากรณและเฝาระวงคณภาพนำอจฉรยะตามดชนคณภาพนำ ดวยเทคนคการเรยนรของเครองและอนเทอรเนตของสรรพสง
利用物联网与机器学习构建水质预测监测系统，提前1-6小时预测rWQI。
Climate policy uncertainty and domestic–international grain-market risk spillovers: a TVP-VAR-BK analysis with machine learning early warning
用TVP-VAR-BK与机器学习分析气候政策不确定性对中外粮食市场风险溢出的动态影响。
Machine Learning-based Prediction of SVI Parameter in Maize: A Comparative Study and Feature Importance Analysis
用四种机器学习模型基于39个玉米基因型盐胁迫发芽数据预测幼苗活力指数SVI。
A review of remote sensing for agricultural drought: technologies, indices, modelling advances and future prospects
系统综述2015-2025年遥感农业干旱监测与预测的传感器、指数、建模及验证进展。
Socio‐Economic Impact of Sustainable Development of Water Resources in the Semi‐Arid Regions of Village Raleras, Maharashtra: A Case Study Using Machine Learning Techniques
用机器学习评估印度半干旱村庄水资源可持续开发对农村生计的社会经济影响。
Land Use Change, Flood Exposure, and Vegetation Stress in the Chi River Basin, Northeast Thailand: A Multi-Temporal Remote Sensing and Machine Learning Assessment
用多时相遥感和机器学习评估泰国栖河流域土地利用变化、洪水暴露与植被胁迫的关系。
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。
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。
International Journal of Emerging Trends in Engineering and Development·10月2日 · 周五61 分 论文农业AI与大模型农业遥感与作物表型2 个信源同时报道 阅读 2
Comparative Performance of Machine Learning and Deep Learning Algorithms for Agricultural Land Mapping in Anambra State, Nigeria
比较RF、SVM、ANN、CNN在尼日利亚农业用地制图中的表现
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。
A machine learning framework for predicting potential urban cool island locations using Landsat 9 data: a case study of Oued Zenati, Algeria
用遥感与可解释机器学习预测阿尔及利亚半干旱城市潜在城市冷岛位置。
Integrating multi-sensor optical and SAR data with machine learning ensembles for chickpea area estimation in the Krishna zone of Andhra Pradesh
融合光学与SAR多时相数据，用机器学习集成分类器估算安得拉邦鹰嘴豆种植面积。
The impact of rural population shrinkage on cultivated land non-grain conversion—dual causal inference based on machine learning
基于中国257个地级市数据，用双机器学习等方法研究农村人口收缩对耕地非粮化的影响。
Interpretable machine learning reveals threshold effects of blue mussel (Mytilus edulis) fouling on the hydrodynamic response of the marine aquaculture netting
用可解释机器学习揭示蓝贻贝污损对海水养殖网箱水动力响应的阈值效应。