Zenodo (CERN European Organization for Nuclear Research)·9月2日 · 周三67 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 3
Deep Learning Based Semantic Segmentation of Satellite Imagery for Land Cover Classification
综述深度学习用于卫星影像土地覆盖分类的语义分割方法，并分析挑战与未来方向。
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Hydrological impacts of land use and land cover change on the width of Bua River, Nkhotakota district, Malawi
利用遥感和GIS分析马拉维Bua河流域土地利用变化对河宽的影响，发现人类活动导致河宽增加。
Estimation of Agricultural Vegetation Water Stress Using Feature-Optimized Remote Sensing and Ensemble Machine Learning
Estimation of Agricultural Vegetation Water Stress Using Feature-Optimized Remote Sensing and Ensemble Machine Learning。Smart Agricultural Technology
Full-season wheat phenotyping using UAV-based multi-source remote sensing: dynamic time-series modeling and high-throughput trait extraction
利用无人机多源遥感进行全季节小麦表型分析，通过动态时间序列建模提取高通量性状。
Remote Sensing Change Detection using ArcGIS: A Comparative Study Of Methods Applied to Urban Expansion in Baghdad City
比较三种遥感变化检测方法在ArcGIS中监测巴格达城市扩张的应用。
An Improved Transformer-KAN Model for Soybean Mapping Based on Multi-Temporal Remote Sensing Data
提出改进的Transformer-KAN模型，基于多时相遥感数据实现高精度、可迁移的大豆种植区制图。
A dictionary-based method for crop yield prediction using satellite remote sensing data
提出基于HYDRA字典方法的机器学习框架，结合物候特征预测玉米产量。
Quantifying Urban Expansion and Its Association with Agricultural Land Loss in Busasamana Sector, Nyanza District, Rwanda (2010–2024): A GIS and Remote Sensing Assessment
利用GIS和遥感量化卢旺达2010-2024年城市扩张及其与农业用地流失的关系。
Hyperspectral Imaging for Disease Detection in Wheat Crops: A Comprehensive Survey
综述高光谱成像在小麦病害检测中的应用，涵盖方法、挑战与未来方向。
Physiological and Spectral Responses of Centella asiatica (L.) to Drought Stress: Implications for Growth, Yield, Stress Monitoring, and Modeling
研究干旱胁迫对积雪草生长、生理和光谱响应的影响，并建立预测模型。
CFAEVM-UNet: cross-fusion attention enhanced VM-UNet for UAV image segmentation of small and dense field crop pests
提出CFAEVM-UNet模型，用于无人机图像中密集小害虫的精确分割。
基于无人机多源遥感特征的茶树生长与氮素状况深度学习监测
融合无人机多源遥感特征与深度学习，高精度估算茶树生物量与氮素积累量。
International Journal of Engineering Technology Research & Management·12月21日 · 周一30 分 论文遥感与农情监测农业人工智能与决策模型2 个信源同时报道 阅读 2
PRECISION AGRICULTURE ANALYTICS USING UAV MULTISPECTRAL IMAGING AND MACHINE LEARNING FOR CROP STRESS DETECTION AND YIELD OPTIMIZATION MODELS
利用无人机多光谱成像与机器学习检测作物胁迫并优化产量。
Integrating sentinel-1 SAR and sentinel-2 optical data for crop mapping and flood inundation assessment in agricultural systems
结合Sentinel-1 SAR和Sentinel-2光学数据，绘制作物图并评估洪水淹没对农业的影响
Accurate diagnosis of soil moisture and canopy water content in citrus orchards based on synergistic multi-source remote sensing
融合多源遥感数据改进水云模型，实现柑橘园土壤水分和冠层含水量高精度反演。
A Bibliometric Analysis of Land Degradation and Desertification Monitoring Based on the Scopus Database (2021–2025)
基于Scopus数据库，对2021-2025年土地退化与荒漠化监测研究进行文献计量分析。
Estimation of the Comprehensive High Photosynthetic-Efficiency Phenotypic Index in Winter Wheat Based on UAV Multimodal Remote Sensing Data
基于无人机多模态遥感数据，构建综合高光效表型指数并精准估算，用于小麦育种材料筛选。
PhenoStream: A Cyberinfrastructure for Automated and AI-Based Crop Trait Extraction from Aerial Imagery
提出 PhenoStream 网络基础设施，自动化航空影像作物性状提取全流程。
International Journal of Environmental and Agriculture Research·8月31日 · 周一74 分 论文农业AI与大模型智慧农业 / 农业物联网阅读 2
Remote Sensing and Machine Learning for Futuristic Horticulture: A Comprehensive Review
综述遥感与机器学习在印度园艺作物精准管理中的应用，涵盖原理、方法、案例与挑战。
Assessing rice genotype dependency in remote sensing: challenges in nitrogen discrimination and yield forecasting
评估遥感模型在不同水稻基因型间的可转移性，用于氮肥监测和产量预测。