computer science

United States Agricultural Information Network

United States Agricultural Information Network is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand United States Agricultural Information Network rather than just read about it. In short: The United States Agricultural Information Network (USAIN) provides a forum for issues in agricultural information, guides U.S. national information policy for agriculture, and advises the National Agricultural Library. History The original network was based on a recommendation from the 1982 Interagency Panel of the National Agricultural Library (NAL).

Key takeaways

United States Agricultural Information Network belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect United States Agricultural Information Network to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of United States Agricultural Information Network from memory before moving on to harder problems.

Reference excerpt

The United States Agricultural Information Network (USAIN) provides a forum for issues in agricultural information, guides U.S. national information policy for agriculture, and advises the National Agricultural Library.

History The original network was based on a recommendation from the 1982 Interagency Panel of the National Agricultural Library (NAL). It was officially launched in 1988. It consisted of a network of public and private agricultural libraries and information centers coordinated by the NAL. Originally, the Executive Council was composed of representatives from land grant and other institutions, and the director of NAL, in an ex-officio capacity. By 1995, the Executive Committee moved from an organization-based network to an individual-based organization, transferring the responsibility for the operations to individuals. At the 1995 USAIN Conference held in Lexington, Kentucky, a slate of grassroots-working agricultural information professionals emerged as the new Executive Council.

Activities

Conferences USAIN holds biennial conferences on current themes in agricultural information. This includes collection management and preservation, data management and scholarly communication, curriculum and instruction, outreach and marketing, and national information policy.

1990 – University of Illinois at Urbana-Champaign; Inaugural meeting 1991 – University of Minnesota, Minneapolis, Minnesota; Electronic Information in the Agricultural Sciences 1993 – Auburn University, Auburn Alabama; Rural Information at the Crossroads: Issues and Opportunities 1995 – University of Kentucky, Lexington, Kentucky; Cultivating New Ground in Electronic Information: Use of the Information Highway to Support Agriculture. 1997 – University of Arizona, Tucson, Arizona, joint conference with the International Association of Agricultural Information Specialists(IAALD); The Information Frontier: Linking People and Resources in a Changing World 1999 – Kansas State University, Manhattan, Kansas, From Production to Consumption: Agricultural Information for All 2001 – North Carolina State University, Raleigh, North Carolina; Extending Our Reach: Redefining and Promoting Agricultural Information Through Partnerships 2003 – University of Illinois at Urbana-Champaign, Champaign, Illinois; Agricultural Information for the New Millennium: New Crops, Biotechnology, and Saving the Past 2005 – University of Kentucky, Lexington, Kentucky, joint conference with the International Association of Agricultural Information Specialists (IAALD) World Congress; The Globalization of Information: Agriculture at the Crossroads 2006 – Cornell University, Ithaca, New York; Delivering Information for the New Sciences 2008 – Ohio State University, Wooster, Ohio; Tradition in Transition: Information Fueling the Future of Agbiosciences 2010 – Purdue University, West Lafayette, Indiana; Agriculture Without Borders: Creating Knowledge and Partnerships Across Disciplines and Across the World 2012 – University of Minnesota, Minneapolis, Minnesota; Soil, Water, Food and Energy: Agriculture in an Era of Global Climate Change 2014 – University of Vermont, Burlington, Vermont; Sustainable Agriculture: Stewardship of our Information Ecosystem 2016 – University of Florida, Gainesville, Florida; Interdisciplinary Agriculture: Meeting Tomorrow's Global Challenges 2018 – Washington State University, Pullman, Washington; Consuming Information: Agriculture at the Crossroads of Sustainability 2020 – Texas Tech University, Lubbock, Texas; Smart Agriculture in the Era of Climate Change (Virtual due to COVID-19) 2022 – University of Arkansas, Fayetteville, AR; Supporting Agriculture: Food, Fiber, and Family (Virtual due to COVID-19). 2024 – Michigan State University, East Lansing, Michigan; Growing Together, Branching Out. Also joint conference held with Council on Botanical and Horticultural Libraries (CBHL) 2026 – Virginia Tech, Blacksburg, VA; Extending Our Reach 2.0: Honoring our past, celebrating the present, & planning the future.

National Preservation Program USAIN's preservation plan for agricultural literature, one of the first discipline-based plans, obtained several rounds of funding from the National Endowment for the Humanities and resulted in 29 state projects, USAIN recently partnered with Agriculture Network Information Center (AgNIC) and the Center for Research Libraries on Project Ceres, which awards funding for “small projects that preserve print materials essential to the study of the history and economics of agriculture and make those materials accessible through digitization.”

Presidents 1988: Nancy Eaton, 1st President, Iowa State University 1989–90: John Beecher, North Dakota State University 1990–92: Julia Peterson, Cargill 1992–93: Richard Rohrer, University of Minnesota 1993–94: Martha Alexander, University of Missouri 1994–95: Cynthia Via 1995–98: Antoinette Powell, University of Kentucky 1998–99: Rita Fisher, Washington State University 1999–00: Barbara Hutchinson, University of Arizona 2000–01: Diana Farmer, Kansas State University 2001–02: Amy Paster, Pennsylvania State University 2002–03: Dana W. R. Boden, University of Nebraska–Lincoln 2003–04: Jodee Kawasaki, Montana State University 2004–05: Pat Wilson, University of Kentucky 2005–06: Lutishoor Salisbury, University of Arkansas 2006–07: Heather K. Moberly, Oklahoma State University 2007–08: Norma Kobzina, University of California, Berkeley 2008–09: Kathleen (Katie) Newman, University of Illinois at Urbana–Champaign 2009–10: Sheila Merrigan, University of Arizona 2010–11: Allison Level, Colorado State University 2011–12: Mary Ochs, Cornell University 2012–13: Eileen Herring, University of Hawaii at Manoa 2013–14: Connie Britton, Ohio State University 2014–15: Valrie I. Minson, University of Florida 2015–16: Philip Herold, University of Minnesota 2016–17: Sarah C. Williams, University of Illinois at Urbana–Champaign 2017–18: Leslie Delserone, University of Nebraska–Lincoln 2018–19: Kristen Mastel, University of Minnesota 2019–20: Claudine Jenda, Auburn University 2020–21: Jessica Page, Ohio State University 2021–22: Megan Kocher, University of Minnesota 2022–23: Suzanne Stapleton, University of Florida 2023–24: Kiri DeBose, Virginia Tech 2024–25: Melody Royster, University of Florida 2025–26: Randa Lopez Morgan, Louisiana State University 2026–27: Livia Olsen, Kansas State University

References

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with United States Agricultural Information Network

Start with the simplest possible case. Write down what United States Agricultural Information Network claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to United States Agricultural Information Network before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about United States Agricultural Information Network ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of United States Agricultural Information Network

In research: United States Agricultural Information Network appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses United States Agricultural Information Network in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: United States Agricultural Information Network is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1988 establishments in the United States, Agricultural organizations based in the United States, E-agriculture, so understanding it makes those chapters shorter.
In everyday life: Look for United States Agricultural Information Network outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study United States Agricultural Information Network in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what United States Agricultural Information Network means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain United States Agricultural Information Network out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is United States Agricultural Information Network in simple terms?

Why does United States Agricultural Information Network matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study United States Agricultural Information Network?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on United States Agricultural Information Network.