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Author: slquinlan

Successful 2025 Georgia Precision Poultry Farming Conference

UGA poultry science & extension team just held a successful 2025 Georgia Precision Poultry Farming Conference virtually on May 6, 2025. Ten invited speakers and five panelists shared the latest research, education, and industry implementation/need of precision poultry farming technologies. This year’s conference had about 350 registrations from 30+ countries. The event received grateful support from […]
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Are You Sure Your Pivot is Operating at Peak Efficiency?

By: Phillip Edwards, Daniel Lyon, David Hall, Jason Mallard, Sarah Beth Thompson, Wesley Porter Pivot Uniformity The importance of proper pivot uniformity cannot and should not be taken lightly. Over or underwatering your crop can happen due to a multitude of possible inefficiencies. These inefficiencies can cost you money and yield. In most cases you […]
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Calibrating Insecticide Hoppers on Planters

By: Will Brown (UGA Extension, Appling County), Jennifer Miller (UGA Extension, Jeff Davis County), Sarah Beth Thompson, and Wesley Porter  While planting is going full speed there are many planters that have insecticide hoppers on the back of the row units, and it is critical that these systems are calibrated. Depending on which crop you […]
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Deep Learning Systems for Automatic Egg Grading

Defective eggs (eggs with abnormal exterior quality and size, Figure 1) can reduce the egg quality/food safety and market value of laying hen production, especially in cage-free houses where floor eggs are more common. To improve egg quality, automated grading and defect detection systems have been developed using machine vision and image processing. Automated egg […]
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Switching from Corn to Peanut Planting-Planter Components 

By Marco Torresan and Wesley Porter  Even though it’s still early in the season, most of the corn has been planted and many producers are switching over and starting to plant peanuts. I have seen many farmers starting to plant peanuts, so hopefully they have already made these changes. As you finish up corn it […]
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A Robotic Machine Vision System for Tracking Dead Chickens

It’s estimated that approximately 20 million chickens in the U.S. die in commercial poultry houses before reaching market age or arriving at slaughterhouses for various reasons. In commercial broiler or cage-free laying hen houses, thousands of chickens are housed within the same facility in high density. Animal wellbeing monitoring, including daily mortality checks, is typically […]
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Monitoring Perching Behavior of Cage-free Hens with Machine Vision

Domestic fowl shows the tendon-locking phenomenon, which lets them to express perching behavior (PB) with minimum muscular effort. The domestic hens look for an elevated structure for resting during night as that the jungle fowl, in order to prevent themselves from ground predators. Providing perches in cage-free (CF) housing (Figure 1) offers significant benefits for […]
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Monitoring Cage-free Hens’ Pecking with Deep Learning

US Egg production is transitioning from conventional cage to cage-free system. While cage-free system allows birds to perform natural behaviors such as dustbathing, foraging, and perching, an inherent challenge is feather pecking (FP, Figure 1). Pecking is one of the primary welfare issues in commercial cage-free hen houses as that…
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Tracking Broiler Chickens at Different Ages with Deep Learning

Broiler production and issues: The world’s population is expected to reach 9.5 billion by 2050 and the requirement for animal products (e.g., meat, eggs, and milk) will be increased by 70% as compared to 2005 levels. As indicated, it is challenging to improve animal production efficiency and product quality under…
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