Red-Edge Information in Agricultural Remote Sensing: From Spectral Theory to Explainable Machine Learning
综述红边遥感在农业中的物理基础、条件依赖性与可解释机器学习中的新角色。
农业AI与大模型
人工智能算法、大模型与决策支持系统
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Application of Remote Sensing and Machine Learning in Sustainable Agriculture
综述遥感与机器学习在可持续农业中的应用现状与前景。
Deep learning-based classification of wet direct seeded rice, broadcasted direct seeded rice and transplanted rice using drone imagery for precision agriculture
用无人机可见光影像和深度学习模型区分直播稻、湿直播稻与移栽稻三种水稻种植方式。
Zenodo (CERN European Organization for Nuclear Research)·9月30日 · 周三72 分 论文农业AI与大模型数字乡村与农业信息化2 个信源同时报道 阅读 4
Empowering India's Digital Future through Artificial Intelligence in Geography
本文探讨地理空间人工智能（GeoAI）如何推动印度数字治理与可持续发展。
Spatio-temporal characteristics and driving factor identification of precipitation use efficiency: Based on machine learning and SHAP analysis
基于多源遥感与可解释机器学习，揭示东北寒区降水利用效率时空特征及驱动因子。
Genotype-Aware Prediction of Soybean Seed Composition from Multimodal UAV Imagery of the Standing Crop
用无人机多模态影像与基因型数据训练CNN，预测大豆八种种子成分。
Zenodo (CERN European Organization for Nuclear Research)·9月30日 · 周三46 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
Uses of Artificial Intelligence In Geography
综述人工智能在地理学中的应用，涵盖GIS、遥感、城市规划、农业与环境监测等。
UAV-based rice nitrogen status monitoring using machine learning and deep learning
UAV-based rice nitrogen status monitoring using machine learning and deep learning。Precision Agriculture
MDPI Remote Sensing 18(18):3107 MODIS NDVI与机器学习作物产量预测比较研究
基于印度州级MODIS NDVI与机器学习比较作物产量预测，随机森林优于梯度提升。
《基于遥感的农作物产量估算综述:机器学习技术及环境、算法和硬件限制》
系统综述遥感估产方法，分类传感器、平台、建模与机器学习，指出深度学习性能最优。
Gazi Üniversitesi Fen Bilimleri Dergisi Part C Tasarım ve Teknoloji·9月10日 · 周四66 分 论文农业AI与大模型农业遥感与作物表型阅读 3
A Hybrid Transfer Learning Framework for Seasonal Classification of Satellite Images
提出混合迁移学习框架，用预训练模型提取特征并结合机器学习分类器实现卫星图像季节分类。
An Optimized Temporal Attention-based Deep Learning Framwork for Accurate Crop Yield Prediction from Multi-source Agricultural Data
提出TA-ABC-Bi-LSTM模型，用多源农业数据精准预测水稻产量。
Machine Learning-Based Prediction of Fall Armyworm (Spodoptera frugiperda) Outbreaks in Maize Production Systems of Northern Nigeria Using Climate and Remote Sensing Data
用气候与遥感数据构建机器学习模型预测尼日利亚北部玉米草地贪夜蛾暴发。
Identifying the influencing factors of lake surface greenhouse gas concentrations using sentinel-2 remote sensing and machine learning: A case study of bird Island, Qinghai Lake
利用Sentinel-2遥感与机器学习识别青海湖鸟岛湖面温室气体浓度的影响因素。
An Interpretable BO-TCBDA Deep Learning Framework for Winter Wheat Yield Estimation Using Multi-Source Remote Sensing Data
提出BO-TCBDA深度学习框架，融合多源遥感数据估算冬小麦产量，兼具高精度与可解释性。
Hydrochemistry and modeling nitrate concentration in farmland groundwater under different hydrological seasons by integrating hybrid quantum-classical ML, virtual sample generation and AlphaEarth Foundation
提出集成混合量子-经典机器学习、虚拟样本生成和遥感基础模型的框架，预测雄安农田地下水硝酸盐浓度。
农业大模型在田间地头的落地实践：伏羲大脑"佳家农"智慧农服平台案例研究
介绍伏羲大脑农业大模型在佳木斯农高区的落地实践，通过手机和卫星数据提供农事指导，服务超5.6万农户。
Continuous monitoring of deficit irrigation in avocado across two contrasting rainfall years using sensor networks, telemetry, and machine learning
通过传感器、遥感和机器学习连续监测两年不同降雨下鳄梨的亏缺灌溉响应。
Land Cover Classification using Hyperspectral Imagery: A Deep Learning Approach
利用高光谱影像和深度学习模型对印度两地区进行土地覆盖分类，比较CNN、ResNet-18和VGG-1
Integrating Geospatial Information and Artificial Intelligence for Irrigation Planning in Kwali Area Council, Federal Capital Territory, Nigeria
结合地理空间与AI评估尼日利亚Wako灌区适宜性，划分灌溉分区。