Dual‐Branch Network With Enhanced Feature Fusion for Improved Rice Classification Accuracy
提出双分支深度学习网络融合时序与辅助数据，提升亚热带水稻分类精度。
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农业人工智能 智慧农业 遥感
同时包含 农业人工智能、智慧农业、遥感 的农业资讯，共 107 条。
HyBEAR: a hyperspectral benchmark for bare soil detection
提出HyBEAR高光谱航空影像基准数据集，用于整田块裸土检测。
Ensemble Machine Learning for Farm-Level Rainfall Forecasting Based on Satellite Observations
基于卫星观测，用集成机器学习为农场尺度做降雨预报。
Improving early season crop type mapping using machine learning algorithms with combined SAR and optical time series
融合Sentinel-1 SAR与Sentinel-2光学时序，用集成机器学习实现印度早季作物类型高
Comprehensive remote sensing and machine learning framework for multi-regional rice yield forecasting under hydroclimatic variability in Sahelian Niger
结合遥感植被指数与机器学习，预测尼日尔萨赫勒四地区2010–2025年水稻产量。
Road surface material classification from unmanned aerial vehicle red, green, blue and multispectral imagery using spectral features and ensemble machine learning model
用无人机RGB与多光谱影像结合集成机器学习，分类路面材料并验证多光谱与纹理特征的增益。
Applications of Artificial Intelligence in Soil Characterization and Agriculture: A Systematic Review
系统综述2018-2026年196项AI用于土壤特性与农业的研究。
International Journal of Emerging Trends in Engineering and Development·10月2日 · 周五61 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 2
Comparative Performance of Machine Learning and Deep Learning Algorithms for Agricultural Land Mapping in Anambra State, Nigeria
比较RF、SVM、ANN、CNN在尼日利亚农业用地制图中的表现
A Feature Engineering Framework for High-Precision Land Use and Land Cover Classification Using Remote Sensing Images
提出EODFE-HPLULC框架，结合YOLOv12、EfficientNet-B5和深度信念网络实
An integrated scientometric and BERTopic-based analysis on examining the role of artificial intelligence in achieving Sustainable Development Goals (SDGs)
用科学计量与BERTopic分析3262篇文献，揭示AI助力可持续发展目标的研究格局与主题演化。
Aerial Phenotyping of Coffee Flowering Using Deep Learning for Early Yield Prediction
用无人机RGB影像和深度学习对咖啡开花分级，实现早期产量预测。
A new vegetation–thermal integrated approach (NNL-SM) for high-resolution soil moisture estimation
提出NNL-SM模型，融合NDMI、NDVI和LST将SMAP土壤水分从9km降尺度至1km。
Latent-space feature reconstruction-enhanced semantic segmentation for agricultural field roads under visual degradation
提出潜空间特征重建增强的语义分割方法，用于视觉退化下的农田道路提取。
PineWilt-MultiSeg: Joint spatial–spectral learning enables precise detection of pine wilt disease
提出PineWilt-MultiSeg模型，联合空谱学习实现松材线虫病精准检测。
A physical-context-conditioned multimodal fusion network for estimating maize canopy nitrogen content using multi-source UAV remote sensing data
提出物理上下文条件化多模态融合网络，用多源无人机遥感估算玉米冠层氮含量。
UAV-based RGB imagery and supervised–unsupervised machine learning for estimating sorghum biomass and grain yield under water and nitrogen stress
用无人机RGB影像与机器学习估算水分氮胁迫下高粱生物量和产量。
Agrivlm: integrating vision-language models into real-time remote sensing for smart agriculture
Agrivlm: integrating vision-language models into real-time remote sensing for smart agriculture。Wireless Networks
Raspberry Pi Lightweight Deep Learning Models Deployed for Corn Growth Stage Classification Using PhenoCam Images
用PhenoCam图像训练轻量深度学习模型，在树莓派上实时分类玉米8个生长阶段。
International Journal of Systems Assurance Engineering and Management·9月24日 · 周四62 分 论文农业人工智能与决策模型2 个信源同时报道 阅读 3
Soil mapping and fertilizer optimization for precision agriculture using artificial intelligence
利用人工智能进行土壤制图和肥料优化，以支持精准农业。
Journal of Geography Environment and Earth Science International·9月24日 · 周四66 分 论文GIS与空间分析农业遥感与作物表型阅读 5
Remote Sensing and GIS in Modern Drought Assessment: Bridging Conventional Methods and Emerging Technologies
综述了从传统干旱指数到遥感、GIS及AI集成的现代干旱评估方法演进。