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Computational Agricultural Tools:

Click on tool images below to use.

This site is an educational example for data scientist students on how to implement a full stack web site.

Yachay Tech University has implemented a version of Agrineer.org's educational computational agricultural tools with a focus on Ecuador. This site is meant to show students how to integrate large data sets into a web application including a wiki, front end data integration, back end computation, animation, and results downloading.

While the results should not be used to make real-world decisions (for lack of ground truthing) they can give the user a sense of the local hydrological dynamics. For example, entering dates from 20170101 to 20250301 in the Soil Moisture Estimator (SME) tool shows a modelled soil moisture cycle at the Yachay Tech campus. Most prevalent is the early 2025 soil saturation in both soil levels. Soil saturation is indicated by the signal clipping and, although it is evident in previous years, the rapid onset of saturation in both soil levels is evident from the graphs. Such information could be useful when considering landslide potential and drainage management.

Yachay Tech generates the Weather, Research, and Forecast weather simulation data on the HPC Imbabura and are uploaded daily to this server.

Follow the links on the left navigation bar or on images above to use the applications and to get more information.