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ARS Home » Plains Area » Fort Collins, Colorado » Center for Agricultural Resources Research » Water Management and Systems Research » Research » Publications at this Location » Publication #422194
Research Project: Improving the Sustainability of Irrigated Farming Systems in Semi-Arid Regions

Location: Water Management and Systems Research

Title: Customizing pyfao56 for irrigation scheduling: A case study from the limited irrigation research farm

Author
item DeJonge, Kendall
item Thorp, Kelly
item Pokoski, Tyler
item BREKEL, JOSH - University Of Utah
item Trout, Thomas

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 3/17/2024
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: The Python-based crop water balance modeling tool, pyfao56, offers a flexible framework for estimating evapotranspiration (ET) and soil water depletion (Dr). This presentation highlights the customization of pyfao56 for use at the USDA-ARS Limited Irrigation Research Farm (LIRF) in Greeley, Colorado. Key adaptations include automated data integration from on-site weather stations, Google Sheets, and soil water databases, as well as dynamic tools for evaluating field-specific irrigation practices. Using data from 2023 and 2024 field trials, we demonstrate how these customizations enable efficient irrigation scheduling and water management. Current and future needs for customization are also discussed. This case study underscores pyfao56's versatility for developing tailored workflows to meet diverse research and management needs.