基于改进YOLO 11n模型的棉花田间复杂环境障碍物检测方法
提出改进YOLO 11n模型，实现棉花田间复杂遮挡环境下障碍物高精度检测。
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Uncertainty-Aware Semi-Supervised Framework with Supervised Contrastive Learning for Sugarcane Leaf Disease Detection [预印本]
提出半监督不确定性感知网络U-SSDNet，用少量标注实现甘蔗叶病高精度检测。
Feature-level fusion of Sentinel-1 SAR and Sentinel-2 optical imagery for crop-type mapping in humid tropical mountainous terrain
融合Sentinel-1 SAR与Sentinel-2光学特征，在印尼热带山地实现93%精度的作物类
Farming under fire: Conflict, displacement, and the collapse of food security in south Lebanon
通过访谈与二手数据，揭示黎巴嫩南部冲突与气候压力叠加导致农业崩溃和粮食不安全。
Determinants of climate smart agricultural practices adoption and their implications for household food security in Musanze District, Rwanda
研究卢旺达Musanze地区气候智慧型农业采用的决定因素及其对家庭粮食安全的影响。
International Journal of Computational and Applied Mathematics & Computer Science·10月12日 · 周一68 分 论文水稻农业人工智能与决策模型阅读 0
Comparative Analysis of Spatial Statistical Methods for Modelling Rice Yield Variability in Uniformity Trials
比较空间统计与随机森林模型对水稻产量空间变异的建模效果。
Integrated strategies for improving lodging resistance in wheat: physiological mechanisms, plant growth regulators and agronomic management
综述小麦抗倒伏的生理机制、植物生长调节剂与农艺管理，提出综合防控策略。
Hybrid Deep Feature Extraction and Ensemble Machine Learning for Potato Leaf Disease Classification in Uncontrolled Field Conditions
融合三种CNN深度特征与集成学习，实现田间马铃薯叶片七类病害分类。
A study on the identification of wheat powdery mildew using chlorophyll fluorescence imaging
该研究利用叶绿素荧光成像与深度学习识别小麦白粉病并分级。
A Privacy-Preserving Federated Learning Framework for Paddy Leaf Disease Detection Using an Enhanced Pretrained Novel EfficientNet-Lite4 Model
提出联邦学习结合改进EfficientNet-Lite4的水稻叶片病害检测框架，兼顾隐私与精度。
Beyond single-element toxicity: chromium-salinity interactions, food-chain transfer and mitigation in sugarcane agroecosystems
综述甘蔗农业生态系统中铬与盐分交互作用、食物链传递及缓解措施，指出单元素毒性评估不足。
Genome-wide association mapping reveals SNP–trait associations for agronomic traits in advanced rice breeding lines
对188份印度水稻高代育种系进行全基因组关联分析，定位产量相关性状的SNP标记。
Machine Learning-based Prediction of SVI Parameter in Maize: A Comparative Study and Feature Importance Analysis
用四种机器学习模型基于39个玉米基因型盐胁迫发芽数据预测幼苗活力指数SVI。
Zenodo (CERN European Organization for Nuclear Research)·10月12日 · 周一78 分 论文单产提升与粮食安全智慧农业 / 农业物联网2 个信源同时报道 阅读 1
Regenerating Rural Futures Through Climate-Smart Agriculture Innovations: A Systems Perspective on Building Climate Resilience, Food Security and Inclusive Rural Prosperity in Nigeria
本文从系统视角探讨气候智慧型农业如何推动尼日利亚农村再生，兼顾气候韧性、粮食安全与包容性繁荣。
Integrated assessment of agricultural and processing-related chemical hazards across the food chain: glyphosate occurrence and lipid changes in ready-to-eat corn-based foods
整合评估即食玉米食品中草甘膦残留与煎炸油脂变化两类化学危害。
Joint determination of factors influencing adoption of climate smart agricultural practices in modern rice production in Southwest Bangladesh: a multivariate probit approach
用多元概率模型分析孟加拉国西南部稻农采用五项气候智慧型农业实践的影响因素。
Precision Agriculture Approaches for Nutrient Management in Maize: A Comprehensive Review of Productivity, Efficiency and Economic Benefits
综述玉米精准养分管理在生产力、效率与经济效益上的证据与局限。
Scalable, cloud-native decision support system for Variable Rate Application (VRA) based on multi-year NDRE time series in arable precision agriculture
构建云原生决策支持系统，用多年NDRE时序自动生成精准农业变量施肥/播种处方图。
IoT-Based Automatic Cotton Leaf Disease Detection, Infection Percentage Estimation, and Treatment Recommendation Using Raspberry PI
基于树莓派与物联网，实现棉花叶病自动检测、感染率估算与防治推荐。
Linking land use advantage and temporal stability for row configuration design in maize/soybean intercropping under water-limited dryland conditions in northeastern China
Linking land use advantage and temporal stability for row configuration design in maize/soybean intercropping under water-limited dryland conditions in northeastern China。Agricultural Systems