AgriMAC: An Attention Based Multimodal Deep Clustering Framework for Rice Health Assessment
提出无监督多模态聚类框架AgriMAC，融合无人机NDVI、IoT土壤与气象数据评估水稻健康。
水稻
以水稻为对象的生产、育种、植保、机械化与产业内容
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Comparative Analysis of Geographical Factors Affecting Paddy (Oryza sativa L.) Yields in Türkiye Using Random Forest and ANOVA: The Case of Kırıkkale, Balıkesir, Diyarbakır and Şanlıurfa
用随机森林和方差分析比较土耳其四省水稻产量差异，识别关键地理驱动因子。
Breeding rice for optimal maturity across diverse sowing windows under future climate change scenarios in Chongqing area
用APSIM-Rice与CMIP6情景模拟重庆不同播期和品种水稻产量、耗水与水分利用效率。
Spatial optimization of water-saving irrigation in Chinese rice paddies: Balancing yield, greenhouse gases, and cost using NSGA-II
构建空间优化框架，为中国稻田节水灌溉推广寻找兼顾产量、温室气体与成本的路径。
Hidden costs of rice intensification: Life cycle and economic assessment in Vietnam's Mekong Delta
Hidden costs of rice intensification: Life cycle and economic assessment in Vietnam's Mekong Delta。Agricultural Systems
Research on an automated mapping method for rice aboveground biomass based on low-altitude remote sensing
基于无人机RGB与多光谱影像，结合株高与Stacking集成算法，实现水稻地上生物量高精度自动制图。
IoT-RiceMobileNet: An improved lightweight MobileNetV2 Model for real-time multi-class rice disease detection using IoT
提出轻量级IoT-RiceMobileNet模型，实现水稻病害实时多类检测。
Climate and nutritional implications of Thai curry-over-rice menus: a recipe-level assessment of carbon footprints and dietary quality
评估90道泰式咖喱饭菜单的碳足迹与营养，揭示营养与碳排放的权衡。
Multi-agent cooperative control for unmanned distributed-drive electric agricultural vehicle in paddy fields: tracking, stability, and energy-aware torque allocation
提出多智能体协同控制框架，实现水田分布式驱动电动农机路径跟踪、稳定性与能耗统一优化。
无人机遥感在水稻高通量表型分析中的研究进展 系统综述
系统综述199项研究，梳理无人机遥感在水稻高通量表型分析中的应用进展与瓶颈。
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。
DASO-RiceNet: 细粒度水稻病害与损伤分类的双注意力序列优化网络(准确率 96.5%)
提出双注意力序列优化网络DASO-RiceNet，实现10类水稻病害与损伤的高精度分类。
Biofilm biofertilizer mitigates water stress in rice: impact on growth, yield, and grain quality
盆栽试验表明生物膜菌肥可降低水稻耗水与重金属积累，且不减产。
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
《面向部署的中国南方水稻产量预测阶段特异性信息评估:跨年份、地点及地点-年份环境》
基于中国南方多环境水稻数据，评估机器学习产量预测在不同部署场景下的真实精度。
Agroecological transition and performance evaluation of rice farms in northern Benin based on the FAO TAPE framework
用FAO TAPE框架评估贝宁北部438个水稻农场的生态农业转型与多维表现。
Beyond digital access: how does digital information complement agricultural production services to promote green technology adoption? Micro-evidence from Jiangxi Province, China
基于江西1040户稻农数据，检验数字信息与农业生产服务对绿色技术采用的互补效应。
Reduced potassium fertilization combined with magnesium application improves rice population quality and regulates grain yield and quality
研究减钾配施镁对四川丘陵水稻产量和品质的影响。
Wild rice kernel inspection using a prompt-guided vision language model with evidence-grounded reasoning
用提示引导的视觉语言模型对野生稻米粒进行检测，并给出基于证据的推理。
Leakage-Proof Reliability-Aware Deep Learning Framework for Rice Leaf Disease Diagnosis
提出防泄漏、可靠性导向的水稻叶病诊断深度学习框架，并系统评估其泛化与部署表现。