🌽 WI Agricultural Forecasting Advisory System

Daily risk forecast across Wisconet weather stations

Forecast date Risk days 1 Disease model

Irrigation

Non-irrigated Irr. 30in Irr. 15in

Planting date Fall precip fallback (mm) Use actual precip (wiscopy)

Station data table

Single-station detail

Station

Daily breakdown

Raw weather (long-format, head 50)

Stations (multi-select) Cmd/Ctrl-click to add or remove stations.

Pick a date with at least one selected station and click Run.

Raw trend data

Stations (multi-select) Weather field Start date End date

Pick stations and a field, then click Fetch weather.

Raw weather data

Feedback: We're testing this tool — we want your feedback.

Source code: github.com/UW-Madison-DSI/ag_forecasting_app_v3

Disease-model references (Crop Protection Network encyclopedia): White mold (soybean), Frogeye leaf spot (soybean), Gray leaf spot (corn), Tar spot (corn). Cereal Rye Biomass.

Forecast data sourced from the Wisconet weather-station network · Live disease forecasts via /proxy/forecast · Bundled snapshot built daily via build_site.py

Acknowledgements

Disease risk models developed by Dr. Damon Smith and the Plant Pathology Department, UW–Madison.
Dashboard scaffolding and Ag Forecasting API support by the Data Science Institute, UW–Madison.
Open-source guidance from the Open Source Program Office (OSPO), UW–Madison, with special thanks to former Director of Open Source Allison Kittinger.
Funded by a grant from the UW–Madison Division of Extension, in keeping with the Wisconsin Idea.
Application and API both authored by María Oros, Data Scientist at the Data Science Institute, UW–Madison (moros2@wisc.edu).