Information Systems

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Any written, electronic, or graphical method of communicating information. The basis of an information system is the sharing and processing of information and ideas. Computers and telecommunication technologies have become essential information system components.

Narrower Topics

DDIS - Distance Diagnostic Identification System

DDIS provides a collaboration and communication platform for first detectors, extension specialists and diagnosticians to share information on plant insects and diseases. The system uses field data and digital media as tools for enhancement of diagnosis of plant diseases, insects, weeds, invasive species, plant management, physiology, and nutrient problems.

DDIS website

Decision Support Systems

A computer-based system that enables management to interrogate the computer system on an ad hoc basis for various kinds of information on the organization and to predict the effect of potential decisions beforehand. Abbreviated DSS. [AGROVOC]

Florida Automated Weather Network (FAWN)

Geographic Information Systems (GIS)

Publications

Eye-Tracking Methodology and Applications in Consumer Research

Hayk Khachatryan and Alicia L. Rihn

Microsoft Teams for CEU and Training Delivery

Brett W. Bultemeier and Joe Gasper

The Role and Impact of Technology on Supply-Chain Management in the Food Industry

Jonathan A. Watson, Allen F. Wysocki, and Ray A. Bucklin

This publication discusses various technologies and their applications in the food industry and shows how those technologies can impact supply-chain management. Written by Jonathan A. Watson, Allen F. Wysocki, and Ray A. Bucklin, and published by the UF/IFAS Department of Agricultural and Biological Engineering, reviewed March 2021.

Addressing Labor Needs by Understanding Grower Perceptions about Adoption of Automated Nursery Technologies: A Resource for US Extension Professionals

Laura A. Warner, Alicia L. Rihn, Amy Fulcher, Susan Schexnayder, Anthony V. LeBude, Lloyd Nackley, Margarita Velandia, and James Altland

This new 5-page publication of the UF/IFAS Department of Agricultural Education and Communication presents research assessing how nursery growers perceive automated and mechanized nursery technologies (ANTs) and determine how these perceptions relate to adoption. This information could guide the development of Extension programs that help nursery operations make informed decisions about ANT adoption and identify ANT characteristics that are positively correlated with ANT adoption. This document was designed for Extension professionals and other practitioners who serve nursery grower clientele across the United States, including companies developing and marketing ANTs to nursery operations. Written by Laura A. Warner, Alicia L. Rihn, Amy Fulcher, Susan Schexnayder, Anthony V. LeBude, Lloyd Nackley, Margarita Velandia, and James Altland.

Selling Safely: Cybersecurity Best Practices for Small, Rural Ag Businesses

Lauri M. Baker, Cheryl R. Boyer, and Russell Boyer

Cyberattacks are a continued and growing threat for all businesses. Small businesses, like agricultural and rural businesses, should not think they are immune to this threat: obscurity is not security. This new 6-page publication of the UF/IFAS Department of Agricultural Education and Communication includes some cybersecurity best practices and links to resources for further education. Written by Lauri M. Baker, Cheryl R. Boyer, and Russell Boyer.

Who Owns and Controls Farming Data?

Ziwen Yu, Albert De Vries, Yiannis Ampatzidis, and D. Daniel Sokol

This publication aims to clarify the concerns regarding data ownership and explain the responsibilities of that ownership, sharing, and benefits in a collaborative smart farming application. Written by Ziwen Yu, Albert De Vries, Yiannis Ampatzidis, and D. Daniel Sokol, and published by the UF/IFAS Department of Agricultural and Biological Engineering, October 2021.

Cluster Analysis for Extension and Other Behavior Change Practitioners: Information and Terminology Needed for Cluster Analysis

Laura A. Warner

By identifying audience subgroups, cluster analysis (a quantitative technique) helps Extension agents tailor their education and communication programs to specific audiences. This publication falls under the Cluster Analysis for Extension and Other Behavior Change Practitioners series and discusses key information and terminology associated with cluster analysis. The publication thus builds upon “Cluster Analysis for Extension and Other Behavior Change Practitioners: Introduction,” which introduced cluster analysis as a technique for audience segmentation. This publication provides essential information for the publications which follow, “A Practical Example” and “Integrating the Results of Cluster Analysis into Meaningful Audience Engagement.”

Forest Resource Information on the Internet: Connecting to Today's Online Resources

Chris Demers

A UF/IFAS numbered Fact Sheet. Published by Informed community decision-making