Agricultura de precisión

T. B. Onofre, C. W. Fraisse, N. A. Peres, and J. McNair

Biswanath Dari, Vimala D. Nair, and Willie G. Harris

Aditya Singh and James Fletcher

Rao S. Mylavarapu and Won Suk Daniel Lee

Rebecca Barocco, Won Suk Lee, and Garret Hortman

James Fletcher and Aditya Singh

Brian J. Sevier and Won Suk Lee

Arnold Schumann, Edward Hanlon, yEdward A. Hanlon
Otros contactos: Davie M. Kadyampakeni

Aditya Singh and James Fletcher

Daeun Choi, Omeed Mirbod, Uchechukwu Ilodibe, and Steven Kinsey

The primary goal of this article is to provide background knowledge and terms that frequently come up in other articles about AI as well as in general use. The target audiences of this series include the general public, Extension educators, and farmers who want to know more about AI systems and their applications. This series will help readers understand the opportunities that AI brings to agriculture as smart technologies continue to grow in the market. Written by Daeun Choi, Omeed Mirbod, Uchechukwu Ilodibe, and Steven Kinsey, and published by the UF/IFAS Department of Agricultural and Biological Engineering, October 2023.

Haimanote Bayabil, Niguss Solomon Hailegnaw, and Vivek Sharma

This fact sheet explores variable rate irrigation (VRI) technology and its components and provides specific examples of field-scale applications of VRI technology with step-by-step guidelines for data collection, data interpretation, developing VRI prescription maps, and uploading maps for implementation. Written by Haimanote Bayabil, Niguss Solomon Hailegnaw, and Vivek Sharma, and published by the UF/IFAS Department of Agricultural and Biological Engineering, February 2025.

Shiala M. Naranjo yKathryn A. Stofer

Researchers, engineers, scientists, and program designers can use the information from this publication to engage better with farmers and to ensure programs and products from research are beneficial and easily adopted. This publication shares background on the importance of engagement and several high-level strategies for consideration as you approach engagement, especially for the first time, illustrated by the work of the IoT4Ag Center. Overall, the strategies center the farmer, addressing how to design engagement around audience needs, understand externalities, and determine shared values, highlighted by a case study of how engagement has gone wrong. Written by Shiala M. Naranjo and Kathryn A. Stofer, and published by the UF/IFAS Department of Agricultural Education and Communication, September 2025.

Vivek Sharma, Uday Bhanu Prakash Vaddevolu, Shiva Bhambota, Yiannis Ampatzidis, Haimanote Bayabil, and Aditya Singh

The main aim of this publication is to discuss the concept of variable rate technology (VRT), and its components associated with variable rate application of water, fertilizer, and other agricultural inputs. This publication also provides an example of the control system for variable rate application of agricultural inputs in row and tree crops. Written by Vivek Sharma, Uday Bhanu Prakash Vaddevolu, Shiva Bhambota, Yiannis Ampatzidis, Haimanote Bayabil, and Aditya Singh, and published by the UF/IFAS Department of Agricultural and Biological Engineering, January 2025.

Lakesh K. Sharma, Diego A. H. de S. Leitão, and Hardeep Singh

In the domain of agriculture, the application of optical sensing technology has become increasingly prevalent in the assessment of corn grain production. However, it is notable that comprehensive research endeavors addressing the efficacy of employing the Normalized Difference Vegetation Index (NDVI) as a predictive tool for corn grain yield in the specific context of Florida remain limited. To address this gap in knowledge, a dedicated study focusing on nitrogen (N) rates was meticulously designed in 2022. The primary objective of this study was to provide critical insights and empirical evidence to both our Extension agents and the community of corn farmers. Its overarching aim is to elucidate the practical utility of NDVI sensors in forecasting crop output and facilitating precise estimations of N requirements.

Lakesh Sharma yYiannis Ampatzidis

This publication discusses the general concept of site-specific farming, i.e., dividing a farm into several smaller management parcels instead of considering the whole farm as a single unit. This publication provides information on methods available that could be incorporated into the farming system for smart decision-making, for example, varying nutrient applications. The publication also discusses Normalized Difference Vegetative Index (NDVI) maps, Global Positioning System (GPS) units, yield monitors, and electrical conductivity maps.

Emma Matcham, Lauri M. Baker, Jay Capasso, Osvaldo Gargiulo, Lauren Geiss, Emma Matcham, Kelly T. Morgan, Ricky Telg, yLincoln Zotarelli

This glossary provides clear, unified definitions for terms and is intended to help aid communication with nutrient management professionals across the state, especially when sharing new site-specific nutrient management recommendations. This glossary should help lessen confusion on how the listed terms are defined and interpreted, thereby helping to improve communication within and across disciplines. Written by Lauri Baker, Jay Capasso, Osvaldo Gargiulo, Lauren Geiss, Emma Matcham, Kelly Morgan, Ricky Telg, and Lincoln Zotarelli, and published by the UF/IFAS Department of Agronomy, April 2025.