Ai, Haiping

Akanbi, Olatunde D

Barcelos, Erika I

Bruckman, Laura S

French, Roger H.

Nihar, Arafath

Vibha Mandayam, Vibha

Wu, Yinghui

Yarus, Jeffrey

Zhang, Huichun (Judy)

English

Mandayam, Vibha S

Scholarly Commons@CWRU

Case Western Reserve University Scholarly Commons @ Case Western Reserve University Student Scholarship Spring 4-29-2024 CRADLE Explorer: CASFER Interactive Platform for Data and Model Visualization Olatunde D. Akanbi Case Western Reserve University, oda10@case.edu Vibha Vibha Mandayam Case Western Reserve University, vsm21@case.edu Haiping Ai Case Western Reserve University, hxa269@case.edu Arafath Nihar Case Western Reserve University Erika I. Barcelos Case Western Reserve University, eib14@case.edu See next page for additional authors Follow this and additional works at: https://commons.case.edu/studentworks  Part of the Agriculture Commons, Animal Sciences Commons, Data Science Commons, Earth Sciences Commons, Environmental Sciences Commons, and the Food Science Commons Recommended Citation Akanbi, Olatunde D.; Vibha Mandayam, Vibha; Ai, Haiping; Nihar, Arafath; Barcelos, Erika I.; Bruckman, Laura S.; Yarus, Jeffrey; Wu, Yinghui; Zhang, Huichun (Judy); and French, Roger H., "CRADLE Explorer: CASFER Interactive Platform for Data and Model Visualization" (2024). Student Scholarship. 15. https://commons.case.edu/studentworks/15 This Poster is brought to you for free and open access by Scholarly Commons @ Case Western Reserve University. It has been accepted for inclusion in Student Scholarship by an authorized administrator of Scholarly Commons @ Case Western Reserve University. For more information, please contact digitalcommons@case.edu. CWRU authors have made this work freely available. Please tell us how this access has benefited or impacted you! Authors Olatunde D. Akanbi, Vibha Vibha Mandayam, Haiping Ai, Arafath Nihar, Erika I. Barcelos, Laura S. Bruckman, Jeffrey Yarus, Yinghui Wu, Huichun (Judy) Zhang, and Roger H. French This poster is available at Scholarly Commons @ Case Western Reserve University: https://commons.case.edu/studentworks/15 CRADLE Explorer: CASFER Interactive Platform for Data and Model VisualizationOlatunde D. Akanbi1,2,5, Vibha Mandayam1,3,5, Haiping Ai1,4,5, Arafath Nihar1,3, Erika I. Barcelos1,2,5, Laura S.  Bruckman1,2,5, Jeffrey M. Yarus1,2,5, Yinghui Wu1,3,5, Huichun (Judy) Zhang4,5, Roger H. French1,2,3,5¹SDLE, Department of Material Science and Engineering, Case Western Reserve University, Cleveland OH, USA²Department of Material Science and Engineering, Case Western Reserve University, Cleveland OH, USA³Department of Computer and Data Science, Case Western Reserve University, Cleveland OH, USA4Department of Civil and Environmental Engineering, Case Western Reserve University, Cleveland OH, USA5Center for Advancing sustainable and Distributed Fertilizer Production ( CASFER)Corresponding Author: Roger French, roger.french@case.edu● This material is based upon work supported by the National Science Foundation under Grant No. 2133576. ● Hendrik Hamann and IBM Environmental Intelligence Suite acknowledged● This work made use of the High Performance Computing Resource in the Core Facility for Advanced Research Computing at Case Western Reserve University.The Problem and the ObjectivesInitial results- Crop Growth & ModelingAcknowledgementReferences● Akanbi, O.D., Bhuvanagiri, D.C., Barcelos, E.I. et al. Integrating Multiscale Geospatial Analysis for Monitoring Crop Growth, Nutrient Distribution, and Hydrological Dynamics in Large-Scale Agricultural Systems. J geovis spat anal 8, 9 (2024). https://doi.org/10.1007/s41651-023-00164-y● Farmers' Guidance○ Plant crops based on soil suitability○ Recommend best soil types for planting● Monitoring for Nitrogen Economy○ Track metrics for efficient nitrogen use○ Identify nitrogen accumulation areas for CASFER trailer placement○ Researchers/users can input their data to visualize● Optimizing Soil Nutrients ○ Determine optimal times for land application○ Align crop choice with suitable soil and timing○ Recognize soil properties influencing nutrient distribution● Next Steps○ Integrate weather, CAFOS, precipitation data for spatiotemporal Graphical Neural NetworksAnimationsCrop Growth, Elevation, and Hydrological DynamicsGrowthTrendsTakeawaysInitial Results- Land UseNutrient Use per CountyObjectives● A unified and interactive platform for CASFER reserchers● Enable Farmers to monitor crops and enhance fertilizer application● Enable stakeholders to view the outputs of the project● Researchers can input their data to test and build models   Vegetation, Crop Growth & CorrelationsGraphical User Interface Soil Nitrogen ModelingConditional SimulationsWinter Spring Summer FallTexasOhioWinter Spring Summer FallTexasOhioResults● Daily monitoring of crop and land use● Soil Nitrogen PredictionThrust 1Thrust 3Thrust 2Thrust Interactions● Application Launch from Open OnDemand● Secured access but can be launched publiclyHighlights● Several Interactive features to enhance smooth running and navigation by users (Vast data streams integrated)● Data and model visualization with Spinner and loader to monitor map renderingFunctions● Time series visualization (Daily)● County level visualization for better look● Clicks to display the value at a point (e.g Nitrate plus Nitrite)● Users can import image to overlay and write what the legend would beFunctions● Yearly nutrient use visualization● Clicks to display the value at a point ● Over 40 Fertilizer related nutrient use from 1987Highlights● Conditional simulation results with 1000 realizations● Animations of Soil Nitrogen Simulation ● Results show high nitrogen accumulation  close to rivers and farmlandsHow can we see all these results without GIS softwares, make our inputs, take decisions and build a nitrogen circular economy without coding experience?● These results from multimodal data visualization will aid to monitor our vast data streams● Take decisions on precision agriculture and nutrient management● See down into what happens at county levelMethane emission with CAFOs centersMethane Emission with WWTP Locations

CRADLE Explorer: CASFER Interactive Platform for Data and Model Visualization

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CRADLE Explorer: CASFER Interactive Platform for Data and Model Visualization

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