Consejos Basicos para Disenar Sistemas Eficientes de Riego

Drip irrigation system for citrus.

Este documento provee un panorama básico de los factores más importantes al diseñar. Written by Haimanote K. Bayabil, Kati W. Migliaccio, Michael Dukes, Laura Vasquez, and Carlos Balerdi, and published by the UF/IFAS Department of Agricultural and Biological Engineering, December 2020.
https://edis.ifas.ufl.edu/ae549

How to Structure Data from an IoT Monitoring Network

Laptop computer. Portable electronics, technology, computing. UF/IFAS Photo: Thomas Wright.

The Internet of Things, or IoT, refers to the billions of physical devices that collect and share data through the Internet. This 5-page publication discusses the typical attributes in IoT monitoring networks and presents a data structure that outlines best practices in organizing data. Written by Ziwen Yu, and published by the UF/IFAS Department of Agricultural and Biological Engineering, November 2020.
https://edis.ifas.ufl.edu/ae548

How Is Our Future Climate Projected?

Storm rising over a farm.

Climate is the long-term patterns and fluctuations in air and moisture. This 5-page article explains how future climate is projected using mathematical models and introduces common scientific terms used when discussing climate change. Written by Young Gu Her, Zachary Brym, Ashley Smyth, and Elias Bassil, and published by the UF/IFAS Department of Agricultural and Biological Engineering, November 2020.
https://edis.ifas.ufl.edu/ae546

Programacion de Riego Basado en el Metodo de Evapotranspiracion Para Papaya (Carica papaya) en Florida

Fruiting papaya trees at the Tropical Research and Education Center in Homestead, FL. UF/IFAS Photo: Thomas Wright

La papaya es un importante cultivo frutícola que se cultiva en el sur de Florida con un área estimada de 356 acres. Este documento se centra en las técnicas de programación de riego basadas en ET para la papaya en las condiciones de Florida. Written by Haimanote K. Bayabil, Jonathan H. Crane, Kati W. Migliaccio, Yuncong Li, Fredy Ballen, and Sandra Guzmán, and published by the UF/IFAS Department of Agricultural and Biological Engineering, November 2020.
https://edis.ifas.ufl.edu/ae547

How Are Our Future Agriculture and Natural Resources Projected under Varying Climate?

Storm rising over a farm.

This 8-page article explains how agriculture and natural resources may respond to projected future climate and how climate projections can be useful in developing management plans for the improved sustainability of Florida's agriculture and natural resources. It also aims to help increase the public awareness of climate change impacts on Florida and improve understanding of the connections among climate, agriculture, and natural resources. Written by Young Gu Her, Ashley Smyth, Zachary Brym, and Elias Bassil, and published by the UF/IFAS Department of Agricultural and Biological Engineering, September 2020.
https://edis.ifas.ufl.edu/ae545

Online Sources for Sea Level Rise Education and Extension

Volunteers planting saltmeadow cord grass as part of a living shoreline restoration project. Photo taken 08-28-20.

The impacts of sea level rise on ecosystems and natural resources are a major concern in Florida, especially in low-lying coastal areas such as south Florida. Sea level rise can impact many aspects of Florida's economy, including urban development, agriculture, infrastructure, and natural areas. This 16-page document introduces, evaluates, and summarizes selected available online sources and tools to educate diverse stakeholders and concerned local residents on important aspects of sea level rise. Written by Young Gu Her, Ashley Smyth, Jiangxiao Qiu, Elias Bassil, Ulrich Stingl, and Laura Reynolds, and published by the UF/IFAS Department of Agricultural and Biological Engineering, June 2020.
https://edis.ifas.ufl.edu/ae543

Applications of Unmanned Aerial Systems in Agricultural Operation Management: Part I: Overview

Agricultural drone setup at a crop field. Photo taken 01-22-20.

Unmanned aerial systems (UASs, UAVs, or drones) have emerged as one of the most promising technologies for agricultural operation management in recent decades. This 6-page publication provides an overview of the broad areas where UASs can be utilized for monitoring and managing farm operations. Written by James Fletcher and Aditya Singh, and published by the UF/IFAS Department of Agricultural and Biological Engineering, June 2020.
https://edis.ifas.ufl.edu/ae541

Florida H2OSAV Insights: Home Water Use in the Gainesville Regional Utilities (GRU) Service Territory

Sprinkler head with water, grass. UF/IFAS Photo: Joah Wickham.

This 6-page fact sheet discusses basics about water consumption for single-family, detached homes served by Gainesville Regional Utilities, information about the highest water users, and impacts of irrigation on water consumption. Written by Nick Taylor, Kaitlin Olander Robb Price, Bradley Spatz, Tricia Kyzar, and Pierce Jones, and published by the UF/IFAS Department of Agricultural and Biological Engineering, September 2020.
https://edis.ifas.ufl.edu/ae544

How to Avoid Common Problems with Leaf Wetness Sensor Installation and Maintenance

Wildlife and grain forage trial plots at the North Florida Research and Education Center in Quincy, Florida.

Leaf wetness duration is an essential input in disease prediction models and decision support systems in Florida and elsewhere. Incorrect installation or lack of regular maintenance of leaf wetness sensors may lead to errors in plant disease risk monitoring and negative impacts on yield. This 7-page publication provides detailed guidelines for the proper installation and maintenance of leaf wetness sensors and describes the most common problems found in field installations as well as potential solutions. Written by T. B. Onofre, C. W. Fraisse, N. A. Peres, and J. McNair, and published by the UF/IFAS Department of Agricultural and Biological Engineering, February 2020.
https://edis.ifas.ufl.edu/ae538

Basic Tips for Designing Efficient Irrigation Systems

Drip irrigation system for citrus.

As freshwater resources become increasingly scarce and droughts become more frequent, there is a need for efficient use of water resources. Designing efficient irrigation systems and equipment will not only save money but also conserve water. This 10-page fact sheet discusses factors to consider when designing irrigation systems. Written by Haimanote K. Bayabil, Kati W. Migliaccio, Michael Dukes, and Laura Vasquez, and published by the UF/IFAS Department of Agricultural and Biological Engineering, February 2020.
https://edis.ifas.ufl.edu/ae539

ET-Based Irrigation Scheduling for Papaya (Carica papaya) in Florida

Fruiting papaya trees at the Tropical Research and Education Center in Homestead, FL. UF/IFAS Photo: Thomas Wright.

Three irrigation scheduling methods (set schedule, ET-based, and tensiometer-based) were tested for papaya production in south Florida. ET-based irrigation scheduling was found to conserve water effectively. This 6-page document primarily focuses on the ET-based irrigation scheduling techniques for papaya under Florida conditions. Written by Haimanote K. Bayabil, Jonathan H. Crane, Kati W. Migliaccio, Yuncong Li, and Fredy Ballen, and published by the UF/IFAS Department of Agricultural and Biological Engineering, March 2020.
https://edis.ifas.ufl.edu/ae540

Urban Fertilizer Ordinances in the Context of Environmental Horticulture and Water Quality Extension Programs: Frequently Asked Questions

Gardener fertilizing yard. Grass, turf, broadcast spreader.

Excess nitrogen (N) and phosphorus (P) in water bodies are a leading cause of water quality degradation statewide. More than 50 Florida counties and municipalities now have formal fertilizer ordinances, which in some cases include fertilizer blackouts, or bans on the usage of N and P fertilizers during certain times of the year. This 8-page document provides information on the underlying issues of fertilizer use, with an emphasis on an urban setting, and outlines the current state of the science on urban fertilizers and water quality in Florida. Written by Michael D. Dukes, Lisa Krimsky, Mary Lusk, Laurie Trenholm, Bryan Unruh, Michelle Atkinson, and Rao Mylavarapu, and published by the UF/IFAS Department of Agricultural and Biological Engineering, February 2020.
https://edis.ifas.ufl.edu/ae534

What Does Florida Weather during the Past 20 Years Look Like?: Florida Weather Represented by the Florida Automated Weather Network (FAWN)

Storm rising over a farm.

This 8-page document gives an overview of Florida temperature and rainfall during the past 20 years based on historical FAWN data to provide information about the temporal and spatial trends of Florida weather and the frequency and size of extreme weather events such as heavy rainfall and drought. This document also investigates the characteristics of drought and heavy rainfall in relation to hurricanes and tropical storms. Written by Satbyeol Shin, Young Gu Her, Geraldina Zhang, and William Lusher, and published by the UF/IFAS Department of Agricultural and Biological Engineering, January 2020.
https://edis.ifas.ufl.edu/ae537

Residential Irrigation Water Costs in Osceola County and Orange County, Florida

Single-family, detached homes.

Interest in understanding water use and irrigation costs has risen in recent years. This case study is a 5-page evaluation of water use and associated costs for residential landscape irrigation in Osceola County and Orange County, Florida. Homeowners in central Florida can use the results to assess their water consumption and bills in relation to similar homes in the area. Written by Nick Taylor, Tricia Kyzar, Pierce Jones, and Kaitlin O. Robb Price, and published by the UF/IFAS Department of Agricultural and Biological Engineering, December 2019.
https://edis.ifas.ufl.edu/ae536

Preflight and Flight Instructions on the Use of Unmanned Aerial Vehicles (UAVs) for Agricultural Applications

A drone aircraft in mid-flight. Photo taken 06-14-19.

This 5-page document provides guidance on the appropriate use of unmanned aerial vehicles (UAVs) for agricultural applications in Florida. It contains step-by-step instructions for preparing a UAV for flight, creating a mission path (using flight mission planning apps), and collecting UAV-based data. Written by Sri Charan Kakarla, Leon De Morais Nunes, and Yiannis Ampatzidis, and published by the UF/IFAS Department of Agricultural and Biological Engineering, November 2019.
http://edis.ifas.ufl.edu/ae535

Postflight Data Processing Instructions on the Use of Unmanned Aerial Vehicles (UAVs) for Agricultural Applications

A drone aircraft in mid-flight. Photo taken 06-14-19.

Remote sensing applications for agriculture often require periodically collected high-resolution data, which are difficult to obtain by manned flights or satellite imagery. This 6-page document provides guidance on the use of post-processing software to visualize data collected by unmanned aerial vehicles (UAVs) for agricultural applications. It provides step-by-step instructions for using the data collected from a UAV flight to create several types of maps and indices. Written by Sri Charan Kakarla and Yiannis Ampatzidis, and published by the UF/IFAS Department of Agricultural and Biological Engineering, October 2019.
http://edis.ifas.ufl.edu/ae533

Estasyon Meteyo nan Jaden: Gid pou Enstalasyon ak Antretyen

Palm trees being blown by the winds of an approaching storm. Severe weather, rain, beach, coast. UF/IFAS Photo by Tyler Jones.

Kondisyon meteyo yo ka jwe yon gwo wòl nan siksè oswa echèk aktivite agrikòl yo. Kiltivatè yo rekonèt sa e se sak fè yo toujou swiv bilten ak previzyon meteyo pou ka ede yo pran desizyon nan sa ki gen pou wè ak irigasyon, pwoteksyon kont fredi ansanm ak anpil lòt desizyon. This new 4-page publication is the Haitian Creole version of EDIS document AE532, Guidelines for Establishing and Maintaining Farm-Based Weather Stations in Haiti. Written by Caroline G. Staub, William Eisenstadt, William Blanc, Nicole Monval, Clyde W. Fraisse, William Lusher, George Braun, and Lee Staudt, and published by the UF/IFAS Department of Agricultural and Biological Engineering, May 2019.
http://edis.ifas.ufl.edu/ae531

Guidelines for Establishing and Maintaining Farm-Based Weather Stations in Haiti

Palm trees being blown by the winds of an approaching storm. Severe weather, rain, beach, coast. UF/IFAS Photo by Tyler Jones.

Weather can significantly influence the success or failure of agricultural enterprises. Monitoring weather conditions can provide critical decision-making information. This new 4-page publication provides Haitian farmers with basic guidelines for installing and maintaining an on-farm weather station. Written by Caroline G. Staub, William Eisenstadt, William Blanc, Nicole Monval, Clyde W. Fraisse, William Lusher, George Braun, and Lee Staudt, and published by the UF/IFAS Department of Agricultural and Biological Engineering, May 2019.
http://edis.ifas.ufl.edu/ae532

Permeable Pavement Systems: Technical Considerations

Newly installed PICP parking stalls as part of a commercial installation. Note the curb separating landscaping and directing runoff away from the pavement surface.

Permeable pavement systems are Green Stormwater Infrastructure practices that can reduce runoff while supporting vehicle and pedestrian traffic. This new 8-page document provides technical details of permeable pavement systems, such as application, system elements, design, installation, operation, maintenance, crediting, and costs, in order to inform planners, engineers, landscape architects, local government officials, and other professionals in the built environment about the considerations for implementing and maintaining permeable pavements. Written by E. Bean, M. Clark, and B. Larson, and published by the UF/IFAS Department of Agricultural and Biological Engineering, April 2019.
http://edis.ifas.ufl.edu/ae530

Applications of Artificial Intelligence for Precision Agriculture

Real-time citrus detection using YOLO (a real-time AI object detection algorithm) on an NVidia Jetson TX2 board (Graphics Processing Unit, GPU). These results are achieved by using just 150 pictures to train the AI-based system.

Technological advances in computer vision, mechatronics, artificial intelligence, and machine learning have enabled the development and implementation of remote sensing technologies for plant, weed, pest, and disease identification and management. They provide a unique opportunity for the development of intelligent agricultural systems for precision applications. This 5-page document discusses the concepts of artificial intelligence (AI) and machine learning and presents several examples to demonstrate the application of AI in agriculture. Written by Yiannis Ampatzidis, and published by the UF/IFAS Department of Agricultural and Biological Engineering, December 2018.
http://edis.ifas.ufl.edu/ae529