Cotton leaf disease classification using deep learning models for smart agriculture
Cotton leaf disease classification using deep learning models for smart agriculture。Agriculture & Food Security
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《涉农企业数字化转型研究综述——基于动力机制、实现路径与转型效应的分析》
综述涉农企业数字化转型的动力机制、实现路径与转型效应，并指出研究不足。
《多因子监测实现小麦晚霜冻害大范围动态预警》——中国农科院资源区划所农业遥感团队
提出多因子综合霜冻监测指数，实现黄淮海冬小麦晚霜冻害大范围动态预警。
Optimizing canopy nitrogen retrieval in wheat from high-resolution UAV hyperspectral data using RTM-based Gaussian process regression
用PROSAIL-PRO与高斯过程回归从无人机高光谱数据反演小麦冠层氮含量。
How the twin transition shapes green technological innovation in agricultural enterprises: evidence from China
基于860家中国农业上市公司数据，研究数字与绿色双转型如何促进绿色技术创新。
Characterization of cattle manure-derived biochar and its synergistic effects with inorganic and organic fertilizers on soil properties, microbial community, and forage maize yield
研究牛粪生物炭特性及其与无机/有机肥配施对土壤、微生物和青贮玉米产量的影响。
Food waste in traditional cultural foods: evidence from the mooncake industry in China
基于全国4133份消费者调查，量化中国月饼消费浪费并分析其影响因素。
Beyond awareness: accounting for information exposure bias in adoption and income effects of Orange-Fleshed Sweet Potato technology among smallholder farming households in Nigeria
研究尼日利亚小农户信息接触偏差对橙肉甘薯技术采纳及收入的影响。
Yield ranking of spring wheat breeding lines absent from model training within two contrasting seasons in northern Kazakhstan
评估春小麦育种品系产量模型在未参与训练品系上的跨季预测能力。
MBF-HybridNet：在极端气候下仍可提前一月预测冬小麦产量的多分支AI模型——Qingdao六县R² 0.756-0.765 MAPE 4.2%
提出多分支AI模型MBF-HybridNet，融合遥感、气象与土壤数据，提前一月预测冬小麦产量。
Diag-STFN：全球收获前作物产量预测的诊断时空多模态融合网络——覆盖38国玉米29国小麦（Ecological Informatics 2026）
提出诊断式时空多模态融合网络Diag-STFN，实现全球收获前玉米小麦产量预测。
基于空间分辨光谱的鲜食玉米含水率和硬度MaMoNet检测模型——融合Mamba状态空间模型与多门专家混合机制
提出MaMoNet网络，用空间分辨光谱检测鲜食玉米含水率和硬度。
Research on the optimal modeling path for inversion of Pb content in rice leaves based on hyperspectral data of ground objects and machine learning and cross-scale remote sensing monitoring
研究基于地面高光谱与机器学习反演水稻叶片铅含量，并探索跨尺度遥感监测的最优建模路径。
Integrating agrarian differentiation and labor mobility into TAPE-based assessments of agroecology. A methodological exploration in the Cambodian rice sector
将农业分化与劳动力流动纳入TAPE框架，在柬埔寨稻作区做方法学探索。
Identifying drought-responsive candidate genes in root and shoot tissues of wheat (Triticum aestivum L.) through RNA sequencing, cluster analysis, weighted gene co-expression network analysis, and machine learning models
通过RNA-seq、WGCNA和XGBoost-SHAP分析，鉴定小麦根和茎中响应干旱的候选基因。
End-edge-cloud collaborative group phenotype recognition and diagnosis for rice seedling in vertical rice seedling cultivation
提出端边云协同的水稻秧苗群体表型识别与诊断方法，用于垂直育秧场景。
Timing Matters: Optimising the Early Blight Spraying Strategy in Potatoes in the Netherlands
基于25年试验分析马铃薯早疫病发病时间与产量损失，提出可减少约50%杀菌剂用量的精准喷施策略。
Recommendation of Suitable Planting Locations for Hybrid Maize Varieties Based on Graph Collaborative Filtering
提出图协同过滤框架，将玉米品种适种区评估转化为排序任务，推荐适宜种植地点。
Cross-Regional Classification of Rice Cropping Systems Based on Within-Year Seasonal Composition Using Multimodal Remote-Sensing Time Series
提出多模态遥感时序框架，实现跨区域水稻种植制度八分类。
Multi-features and Fuzzy with Residual Lenet for Cotton Classification Using Remote Sensing Image
提出多特征与模糊结合残差LeNet的遥感影像棉花分类方法。