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。
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智慧农业 机器学习
Integrating Vegetation Health Indices and Machine Learning for Early Prediction of Agricultural Drought
基于多源遥感与机器学习构建尼日利亚萨赫勒地区农业干旱早期预测框架。
A stocktake of opportunities and knowledge gaps in advancing digital agriculture in Quebec
系统盘点魁北克数字农业技术应用及其对可持续发展的贡献与知识空白。
A Hybrid Model for Crop Yield Prediction Using Recurrent Neural Networks and Explainable Artificial Intelligence
用LSTM结合可解释AI预测肯尼亚玉米产量，兼顾精度与透明度。
Functional photonic and optoelectronic materials and devices for climate-resilient smart agriculture: a review
综述光子与光电子材料器件结合物联网和机器学习，支撑气候韧性智慧农业的作物与土壤监测。
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。
Tillage Practice Discrimination Using High-Resolution PlanetScope and Sentinel-2 Imagery
对比PlanetScope与Sentinel-2影像，用随机森林区分冬春两季的集约与保护性耕作。
Rice Cropping Pattern Mapping Using GEE-Based Sentinel-1/2 Time-Series Imagery and Machine Learning
基于GEE融合Sentinel-1/2时序与地形特征，用机器学习高精度制图长三角水稻种植模式。
Detection of Red Crown Rot of Soybean in Illinois Fields Using High-Resolution Satellite Imagery and Machine Learning
利用高分辨率卫星影像和机器学习在大豆田中检测红冠腐病。
Yield ranking of spring wheat breeding lines absent from model training within two contrasting seasons in northern Kazakhstan
评估春小麦育种品系产量模型在未参与训练品系上的跨季预测能力。
Research on the optimal modeling path for inversion of Pb content in rice leaves based on hyperspectral data of ground objects and machine learning and cross-scale remote sensing monitoring
研究基于地面高光谱与机器学习反演水稻叶片铅含量，并探索跨尺度遥感监测的最优建模路径。
Zenodo (CERN European Organization for Nuclear Research)·9月22日 · 周二78 分 论文农业AI与大模型智慧农业 / 农业物联网2 个信源同时报道 阅读 2
A Systematic Study of Supervised and Ensemble Learning Approaches for Crop Selection in Smart Agriculture
系统综述2016-2026年24项作物推荐研究，比较四类机器学习方法并指出基准精度已趋饱和。
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。
Crop recommendation in precision agriculture: a systematic literature review of methods, trends, and challenges（精准农业中的作物推荐：方法、趋势与挑战系统综述）
系统综述129篇2020-2026年文献，梳理精准农业作物推荐的方法、趋势与挑战。
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。
Temporal trend analysis and multi-temporal satellite feature integration for mango orchard acreage estimation using machine learning algorithms approach
融合多时相Sentinel-1/2与机器学习，估算印度芒果园面积并分析23年种植趋势。
International Journal for Research in Applied Science and Engineering Technology·9月21日 · 周一63 分 论文智慧农业 / 农业物联网阅读 4
Determination of Water Stress in Okra Plants Using Canopy Temperature Measurement by Infrared Thermometer
用红外测温仪测秋葵冠层温度并结合随机森林，实现水分胁迫的早期无损分类。
International Journal of Science Engineering and Technology·9月21日 · 周一70 分 论文农业AI与大模型智慧农业 / 农业物联网2 个信源同时报道 阅读 3
Influence of Sound Frequencies on Plant Growth and Physiological Development
构建声频刺激植物生长实验框架，分析不同频率对生理指标的影响并推荐最优频率。
Non-destructive nitrogen estimation in pastures from UAV multispectral imagery using a heterogeneity-driven machine-learning framework
Non-destructive nitrogen estimation in pastures from UAV multispectral imagery using a heterogeneity-driven machine-learning framework。Precision Agriculture
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering·9月18日 · 周五72 分 论文水资源与灌溉智慧农业 / 农业物联网阅读 2
An artificial intelligence-based stacking ensemble framework for smart irrigation pump control using IoT sensor data
提出基于堆叠集成学习的灌溉泵ON/OFF预测框架，用物联网传感器数据实现智能灌溉控制。