SPOC: MODEL METRICS AND INFERENCE SCALABILITY

SPOC: Model Metrics and Inference Scalability

The growth of deep learning has increased the challenge of understanding model performance and scalability.Model metrics are coarse-grained values that help to capture the complexity of fanimation triaire 52 the model.In this research, we propose SPOC (size, parameters, operations, and Critical Datapath Length) as a suite of metrics that describe m

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Maize yield prediction and condition monitoring at the sub-county scale in Kenya: synthesis of remote sensing information and crop modeling

Abstract Agricultural production assessments are crucial for formulating strategies for closing yield gaps and enhancing production efficiencies.While in situ crop yield measurements can provide valuable and accurate information, such approaches are costly and lack scalability for large-scale assessments.Therefore, crop modeling and remote sensing

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