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。
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Machine Learning-Based Prediction of Fall Armyworm (Spodoptera frugiperda) Outbreaks in Maize Production Systems of Northern Nigeria Using Climate and Remote Sensing Data
用气候与遥感数据构建机器学习模型预测尼日利亚北部玉米草地贪夜蛾暴发。
Differentiating seasonal trends and environmental responses in wheat through longitudinal chlorophyll a fluorescence phenotyping
用纵向叶绿素荧光表型分析小麦不同基因型，区分季节性趋势与环境响应。
Climate-Smart Rice Production through Integrated Water and Carbon Management: Methane Mitigation, Biochar and Yield Resilience
综述评估水稻甲烷减排、水分管理、生物炭与产量韧性的整合策略，提出以水分管理为主的分层管理框架。
Multi-objective water–energy–food–environment Nexus optimization for wheat production in the North China plain
构建农场尺度水-能-粮-环境耦合优化模型，比较五种情景以优化华北平原小麦生产的可持续性。
Regenerative benefits of legume–wheat intercropping systems on soil quality and resource-use efficiency under deficit irrigation in Egypt
埃及两年试验表明，豆科-小麦间作在亏缺灌溉下仍能提升土壤质量与资源利用效率。
Transfer learning integrated with SCOPE model for maize yield prediction based on spectral data for different spatial scales
结合迁移学习与SCOPE模型，利用不同空间尺度光谱数据预测玉米产量。
稻米储藏蛋白运输与内质网稳态机制
从内质网稳态角度解释水稻谷蛋白运输异常，为稻米品质改良提供理论依据。
Mapping the fly: mechanistic and statistical models of tsetse spatial distribution and dispersal — a scoping review
综述采采蝇空间分布与扩散的统计和机理模型，分析气候环境因素，为防控提供决策支持。
An Interpretable BO-TCBDA Deep Learning Framework for Winter Wheat Yield Estimation Using Multi-Source Remote Sensing Data
提出BO-TCBDA深度学习框架，融合多源遥感数据估算冬小麦产量，兼具高精度与可解释性。
Scaling up soybean breeding: Satellite imagery delivers accurate maturity estimation across plot sizes
用卫星影像替代无人机估算大豆成熟期，实现规模化育种表型分析。
Dietary diversity and maternal perspectives of indigenous food consumption among infants in Kitui county, Kenya
研究肯尼亚Kitui县6-23月龄婴儿饮食多样性与母亲对本土食品的看法，发现饮食多样性低且与母亲认知
Bridging the healthcare-agriculture nexus: pathways to enhancing agricultural productivity and rural development in Nigeria
研究尼日利亚农户医疗服务可及性与农业生产力关系，发现利用医疗服务的农户产量更高。
Knowledge-guided deep learning improves estimation of rice aboveground biomass
提出知识引导的深度学习模型，提高水稻地上生物量估算精度。
A novel surface reflectance calibration approach to improve the estimation of maize actual evapotranspiration in a semi-arid USA region
提出地表反射率校准方法，结合机器学习与双源像素分解，提高半干旱区玉米蒸散发估算精度。
Improving Maize Yield Estimation Accuracy by Integrating Satellite Remote Sensing Data and the WOFOST Model Through Data Assimilation
通过数据同化整合卫星遥感与WOFOST模型，提高夏玉米产量估算精度。
Connecting earth observation anomalies to farmer surveys for monitoring impacts of agricultural drought on rainfed rice yields in Nigeria
评估EO异常指标监测尼日利亚雨养水稻干旱影响，补充气象指数，提高产量预测。
Improving Selection Efficiency at the Head Rows Stage of Winter Wheat Breeding by Using the Normalized Difference Vegetation Index
比较NDVI与育种家目视选择在小麦育种早期穗行阶段的效果，发现NDVI选择可提高效率。
Deep learning technique for rice leaf disease classification and severity level identification via Hybrid ResConvolutional Neural Network
提出混合Res卷积神经网络用于水稻叶部病害分类与严重度识别，结合物联网数据采集。
Coupling leaf electrical impedance spectroscopy with defense-hormone dynamics for pre-symptomatic rice blast detection
结合叶片电阻抗谱与防御激素动态，实现水稻稻瘟病症状前检测。