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CCE Nitrogen Index Tool

    The Nitrogen Index is a tool written in the programming language Java that is used to calculate nitrogen uptake and leaching in farming techniques.

    CPM - Cotton Production Model

      A new process-based cotton model, CPM, has been developed to simulate the growth and development of upland cotton (Gossypium hirsutum L.) throughout the growing season with minimal data input. CPM predicts final cotton yield for any combination of soil, weather, cultivar and sequence of management actions.

      Useful to Usable: Developing usable climate science for agriculture

        Useful to Usable (U2U): Transforming Climate Variability and Change Information for Cereal Crop Producers, was a USDA-funded research and extension project designed to improve the resilience and profitability of U.S. farms in the Corn Belt amid a changing climate. Over a six-year period from April 2011 - April 2017, 122 faculty, staff, graduate students, and undergraduate students from ten Midwestern universities contributed to this interdisciplinary project. Our team integrated expertise in applied climatology, crop modeling, agronomy, cyber-technology, agricultural economics, sociology, Extension and outreach, communication, and marketing to improve the use and uptake of climate information for agricultural decision making. Together, and with members of the agricultural community, we developed a series of decision support tools, resource materials, and training methods to support data-driven decision making and the adoption of climate-resilient practices.

        NRCS Regional Conservation Partnership Program - RCPP Critical Conservation Areas

          Critical Conservation Areas (CCAs) are designated by the Secretary of Agriculture and represent an opportunity for many stakeholders to come together at a regional level to address common natural resource goals while maintaining or improving agricultural productivity. Partners, working closely with producers and communities, define and propose projects that will achieve regional natural resource goals while also meeting complementary local conservation priorities.