Nonlinear Mathematical Modeling of Crop Growth and Biomass Accumulation for Accurate Yield Prediction in Smallholder Farming Systems
综述非线性作物生长与生物量模型，提出适配小农系统的产量预测框架。
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Improving regional winter wheat yield estimation by assimilating cross-scale heterogeneity information from UAV and satellite remote sensing
构建跨尺度数据同化框架，融合无人机与卫星遥感提升区域冬小麦产量估算精度。
精选83 分
阅读 9
Model-based optimization of dynamic photon allocation for maximizing biomass production under a fixed total light integral in vertical farming
在固定总光照积分下，用模型优化垂直农业中动态光子分配以最大化生物量。
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ArchiCrop: Crop model dynamics downscaled to 3D+t plant architecture
提出ArchiCrop，将作物模型动态降尺度为3D+t植株结构，生成功能等价的多种形态型。
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Climate Change and Sustainable Maize Production: Risks, Response and Resilience Pathways
综述气候变化对玉米生产的影响，通过文献计量分析揭示研究趋势与适应策略。
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AquaCrop-derived surrogate model for crop yield response to monthly irrigation deficit
构建AquaCrop衍生的代理模型，快速映射月度灌溉亏缺与作物产量的非线性响应。
精选82 分
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Multi-source data assimilation of Sentinel-2 reflectance and SMAP soil moisture into APSIM for maize biomass estimation
将Sentinel-2反射率与SMAP土壤水分同化进APSIM模型，提升玉米生物量估算精度。
精选82 分
阅读 7
AquaCrop modelling with frost risk in Southern Africa for bambara groundnut suitability and optimal planting dates
用AquaCrop结合霜冻算法评估南部非洲班巴拉花生适宜性与最佳播期。
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Synergizing process-based modeling and data-driven learning for precision nitrogen optimization in winter wheat
Synergizing process-based modeling and data-driven learning for precision nitrogen optimization in winter wheat。Agricultural Systems
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A continually evolving knowledge-guided deep learning framework for daily maize yield formation
提出知识引导的深度学习框架AgroEvoDeep-Yield，实现玉米逐日产量形成的可解释模拟与持续
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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。
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From pasture to platform integrating agrivoltaics and green hydrogen for the Penzance–London railway corridor
评估英国铁路走廊采用农光互补与绿氢的可行性，集成多种光伏与农业模型。
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AgriPINN: A Process-Informed Neural Network for Interpretable and Scalable Crop Biomass Prediction under Water Stress
提出过程信息神经网络AgriPINN，嵌入作物生长方程，提升水分胁迫下生物量预测精度与可解释性。
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A formal approach to crop modeling: Automatic code generation and grid simulation using finite state automata
提出用有限状态自动机形式化作物模型，自动生成代码并模拟网格作物生长。
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Three-way debate – measurements, pedotransfer functions, and inverse modeling – input strategy for soil hydraulic parameters in wheat simulations
比较测量、传递函数和反演建模获取土壤水力参数对小麦模拟的影响。
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Detecting soil moisture drought impacts on ecosystem physiology from earth observation data
利用多光谱、热红外和气候数据，通过机器学习提取植被干旱的生理响应，比NDVI更早更敏感。
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A general Sphero-Cylindrical discrete element model of sorghum for optimising header parameters to minimise harvest losses
A general Sphero-Cylindrical discrete element model of sorghum for optimising header parameters to minimise harvest losses。Biosystems Engineering
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