Cloud-Analytics: Tools hosted on MyGeoHUB

We have contributed Agriculture Modeling Tools to MyGeoHub Cloud, that based on Hubzero cyberinfrastructure platform, supports hosting analytical tools, geospatial modeling, data analysis and visualization for research and education.

To run the tools, visit the links provided. Click the ‘Launch Tool’ button near top right area of the webpage. (Sign-in with Mygeohub account or freely create an account if not already holding one.)

RZWQM Calibration and Decision Making Tool

https://mygeohub.org/tools/rzopt

Built on python TKinter librrary, this allows users to calibrate unknown parameters of RZWQM2 model using state-of-the-art optimization algorithms. Additionally, it also features the capability to provide site-specific real-time irrigation and N-fertilizer recommendations based on latest weather forecasts and historical weather conditions at the site provided by NASA POWER API.

Citation: (Pokuri)

Root Zone Water Quality Model 2

https://mygeohub.org/tools/rzwqm2

This is a full-fledged agriculture production and decision-making tool RZWQM2 (Root Zone Water Quality Model 2) ported to cloud for a first time. RZWQM2 is a whole-system model for studying crop production and environmental quality under current and changing climate conditions. It emphasizes the effects of agricultural management practices on physical, chemical and biological processes. Crop simulation options include the generic plant growth model, DSSAT-CSM 4.0 and HERMES SUCROS models. It also can simulate surface energy balance with components from the SHAW model and water erosion from the GLEAMS model. An automated parameter estimation algorithm PEST is also added to RZWQM2 for objective model calibration and uncertainty analysis.

Citation: (Pokuri and Bhar)

N-Cycling Tool

https://mygeohub.org/tools/benfeddersen

This tool is a lean soil Nitrogen model that predicts daily soil Nitrate and Ammonia of agriculture field using the User given Inputs of daily soil moisture content, and Nitrate and Ammonia applications. The hosted tool can be run freely online (no download or local installation is required). We will be happy to receive feedback on the tool for its future enhancements.

More details available in our paper (Bhar, Feddersen, Malone, and Kumar)

References

Pokuri, Balaji Sesha Srikanth. RZWQM Calibration and Decision Making Tool. April 2023.
BibTeX
Link

@misc{mgh2023rzopt,
  title = {RZWQM Calibration and Decision Making Tool},
  month = apr,
  url = {https://mygeohub.org/resources/rzopt},
  year = {2023},
  doi = {doi:10.21981/1J7C-VP18},
  author = {Pokuri, Balaji Sesha Srikanth}
}

Pokuri, Balaji Sesha Srikanth, and Anupam Bhar. Root Zone Water Quality Model. June 2022.
BibTeX
Link

@misc{mgh2022rzwqm,
  title = {Root Zone Water Quality Model},
  month = jun,
  url = {https://mygeohub.org/resources/rzwqm2},
  year = {2022},
  doi = {doi:10.21981/NGHH-D247},
  author = {Pokuri, Balaji Sesha Srikanth and Bhar, Anupam}
}

Bhar, Anupam, Benjamin Feddersen, Robert Malone, and Ratnesh Kumar. “Agriculture Model Comparison Framework and MyGeoHub Hosting: Case of Soil Nitrogen.” Inventions, vol. 6, no. 2, March 2021.
BibTeX
Link

@article{bhar2021agriculture,
  doi = {10.3390/inventions6020025},
  url = {https://doi.org/10.3390/inventions6020025},
  year = {2021},
  month = mar,
  publisher = {{MDPI} {AG}},
  volume = {6},
  number = {2},
  pages = {25},
  author = {Bhar, Anupam and Feddersen, Benjamin and Malone, Robert and Kumar, Ratnesh},
  title = {Agriculture Model Comparison Framework and {MyGeoHub} Hosting: Case of Soil Nitrogen},
  journal = {Inventions}
}