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。
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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。
Federation Cannot Replace Stewardship: Governing the Calibration Chain in Continental-Scale Observation Networks
论文主张联邦架构无法替代有明确责任人的校准监管，强调校准链治理是大陆尺度观测网络的基础。
Land suitability assessment for irrigated lentil cultivation in Southwest Shewa Zone, Ethiopia using remote sensing, GIS, and the analytic hierarchy process
用遥感、GIS与AHP评估埃塞俄比亚西南绍阿区灌溉扁豆种植土地适宜性并制图。
Spatial Assessment of Biophysical Suitability for Climate-Smart Agriculture across Nigeria
Spatial Assessment of Biophysical Suitability for Climate-Smart Agriculture across Nigeria。Research Square
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。
Accelerated Computation of Vegetation Indices on Heterogeneous Platforms Using OpenMP, CUDA, and OpenCL for Sustainable Agricultural Monitoring
评估异构平台加速NDVI和NDWI计算，实现可持续农业监测。
ANALYSIS OF LAND USE LAND COVER CHANGE IN THE GLEN VALLEY IRRIGATION SCHEME OF SOUTH-EASTERN BOTSWANA
利用遥感与GIS分析博茨瓦纳Glen Valley灌区2002-2022年土地利用变化，发现耕地和建
International Journal for Research in Applied Science and Engineering Technology·9月8日 · 周二0 分 论文GIS与空间分析农业遥感与作物表型阅读 2
Assessment of Land Use and Land Cover Changes in Jalna City Using Remote Sensing and GIS
利用遥感和GIS分析印度Jalna市2000-2026年土地利用/覆盖变化，揭示城市化扩张趋势。
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。
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。
Multi-scale OPGD uncovers spatial pattern and influencing factors of rural settlements in the Minjiang River Basin
利用多尺度最优参数地理探测器分析闽江流域农村居民点空间格局及影响因素。
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。
Improving Maize Yield Estimation Accuracy by Integrating Satellite Remote Sensing Data and the WOFOST Model Through Data Assimilation
通过数据同化整合卫星遥感与WOFOST模型，提高夏玉米产量估算精度。
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。
从人跑眼看到卫星巡田——山东省农科院构建天空地一体化遥感数据采集处理体系
山东省农业科学院农业信息与经济研究所构建起一套天空地一体化的遥感数据采集处理体系。目标是实现县域2米、5天和省域10米、7天的高频立体监测；2024年开始耗时2年与中国科学院空天信息创新研究院、中国农业科学院等团队合作研发了一款面向县域的大型无人机。
活力中国调研行｜农户有了数字新农具——黑龙江佳木斯佳家农智慧农服平台服务超6万户
新华社记者随活力中国调研行采访团走进黑龙江佳木斯国家农业高新技术产业示范区，佳家农智慧农服平台由佳木斯国家农高区联合中国科学院计算技术研究所打造，依托伏羲大脑农业大模型汇集卫星遥感、气象、土壤、作物长势、病虫害等多源数据；目前已服务农户超过6万户、覆盖耕地超过700万亩。