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。
数字农业与前沿技术
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Estimation of crop canopy nitrogen content using deep transfer learning with PROSAIL-PRO model and UAV hyperspectral imagery
融合PROSAIL-PRO物理模型与深度迁移学习，用无人机高光谱估算作物冠层氮含量。
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。
Wheat Nitrogen Fertilizer Management Using GreenSeeker Handheld Crop Canopy Sensor
用GreenSeeker手持冠层传感器NDVI预测小麦产量并优化氮肥管理。
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。
Estimation of field-scale crop evapotranspiration from the mechanistic SIF-ET model using the UAV hyperspectral imagery
利用无人机高光谱影像构建田间尺度SIF-ET机理模型，实现作物蒸散发高精度估算。
Zenodo (CERN European Organization for Nuclear Research)·9月30日 · 周三57 分 论文数字农业与前沿技术农业遥感与作物表型2 个信源同时报道 阅读 4
"Bharat @2047: A Geographical Perspective on Sustainable and Inclusive Regional Development"
从地理视角分析印度2047年可持续包容性区域发展，强调因地制宜与GIS遥感支持规划。
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。
Multi-grained image-text retrieval in farmland remote sensing via multimodal large language models
提出农田遥感图文跨模态检索任务，构建数据集并提出FarmMGR框架实现语言驱动检索。
Plastic Greenhouse Extraction Based on Index-Guided Three-Stage Large-Factor Remote Sensing Image Super-Resolution Reconstruction
提出APGI引导的三阶段12倍超分框架，从Sentinel-2影像重建塑料大棚结构并提升提取精度。
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。
Estimating field-scale net ecosystem exchange by coupling high-resolution remote sensing with a crop carbon model
Estimating field-scale net ecosystem exchange by coupling high-resolution remote sensing with a crop carbon model。Agricultural and Forest Meteorology
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。
Remote sensing, fairness and institutional capacity in European agricultural governance
Remote sensing, fairness and institutional capacity in European agricultural governance。Nature Food
A source-side trait-mediated framework for dynamic maize yield prediction using UAV multispectral imagery
提出基于无人机多光谱的源端性状中介框架，实现玉米动态产量预测。
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。