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@CSU-Agricultural-Water-Quality-Program

CSU-AWQP

The Agricultural Water Quality Program (AWQP) protects Colorado state waters and the environment from the improper use of agricultural chemicals.

AWQP logo

Welcome to the GitHub page of the Colorado State University (CSU) Agricultural Water Quality Program (AWQP)! Our mission is to advance water quality research and education, with a focus on sustainable agriculture and environmental stewardship.

About Us

The AWQP protects Colorado state waters and the environment from impairment or degradation due to the improper use of agricultural chemicals while allowing for their proper and correct use. The AWQP is composed of teams within three different organizations: CSU, Colorado Department of Agriculture and the Colorado Department of Public Health and Environment.

AWQP Flow Chart

The CSU branch of the AWQP is responsible for providing the research, education and training on agricultural Best Management Practices (BMPs). These BMPs target methods to minimize the impact of fertilizer and pesticide applications on Colorado’s drinking water sources.

The AWQP program builds on a foundation of nearly three decades of research experience, the evaluation of farmer driven practices, and ongoing stakeholder feedback and contributions. The success of our program is rooted in the strong relationships cultivated over the years working with the agricultural community and numerous private and public entities in the state of Colorado.

Agriculture is an unpredictable and ever-changing industry, and the AWQP seeks to adapt, change and focus on the most current needs of our stakeholders. As an unbiased science-based program, the AWQP pursues data to support producer and policy maker decision making in Colorado.

Collaborate With Us

We invite collaboration and contributions from researchers, students, and professionals interested in water quality and sustainable agriculture. Visit our website for more information on our programs and how to get involved.

Irrigation Picture

Contact

For inquiries or further information, please contact us through our website, or email us at AgWaterQuality.colostate.edu.

Please also visit our Colorado Department of Agriculture Website to access more tools and learn about our partners.

Popular repositories

  1. awqp-mountain-meadow-spectral-analysis awqp-mountain-meadow-spectral-analysis Public

    This project focuses on the development of nitrogen fertilizer management zones using drone-derived spectral data in mountain meadow hay fields found in Colorado, USA.

    R

  2. ALS-Data-Cleaning-Tool ALS-Data-Cleaning-Tool Public

    A coding tool developed in R to take water analysis results exported from the ALS WEBTRIEVE™ data portal. Exported data are cleaned, merged, and exported into archiving (e.g., CSV) or visual (e.g.,…

    HTML

  3. low-cost-iot-water-sampler low-cost-iot-water-sampler Public

    A low-cost, automated water sampler (LCS) with Internet of Things (IoT) technology for scalable, near-real-time water quality research developed by the Colorado State University Agricultural Water …

    C++

  4. .github .github Public

    Welcome to the Colorado State University Agricultural Water Quality Program GitHub!

Repositories

Showing 4 of 4 repositories
  • ALS-Data-Cleaning-Tool Public

    A coding tool developed in R to take water analysis results exported from the ALS WEBTRIEVE™ data portal. Exported data are cleaned, merged, and exported into archiving (e.g., CSV) or visual (e.g., HTML) formats.

    HTML 0 MIT 0 0 0 Updated Jun 7, 2024
  • low-cost-iot-water-sampler Public

    A low-cost, automated water sampler (LCS) with Internet of Things (IoT) technology for scalable, near-real-time water quality research developed by the Colorado State University Agricultural Water Quality Program

    C++ 0 GPL-2.0 0 0 0 Updated Apr 15, 2024
  • .github Public

    Welcome to the Colorado State University Agricultural Water Quality Program GitHub!

    0 0 0 0 Updated Jan 11, 2024
  • awqp-mountain-meadow-spectral-analysis Public

    This project focuses on the development of nitrogen fertilizer management zones using drone-derived spectral data in mountain meadow hay fields found in Colorado, USA.

    R 0 MIT 0 0 0 Updated Nov 28, 2023

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