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  • Segment Anything Model for Precision Poultry Monitoring

    Lilong Chai

    June 24, 2024

    In recent years, artificial intelligence (AI) advancements have greatly influenced the agricultural industry, particularly with the emergence of large foundation models. One such model, the Segment Anything Model (SAM) developed by Meta AI Research, has revolutionized object segmentation tasks. SAM has a revolutionary object segmentation utility by employing a cutting-edge foundation model. SAM demonstrates extraordinary…

    Posted in: Poultry, poultry monitoring, Precision animal production
  • Tracking Poultry Bumblefoot Issues with Deep Learning

    Lilong Chai

    May 31, 2024

    Bumblefoot (pododermatitis, footpad dermatitis, or foot rot) is the term used to describe a common bacterial infection and chronic inflammatory reaction in a chicken. It is clinically characterized by swelling, abrasion, hyperkeratosis, and ulceration of the digital pad, planta metatarsal region, or both. Bumblefoot compromises the foot’s internal tissues, including the mesoderm, tendons, and bones,…

    Posted in: Poultry, poultry monitoring, Precision animal production
  • UGA held a successful 2024 Georgia Precision Poultry Farming Conference

    Lilong Chai

    May 10, 2024

    The Poultry Science Extension team at UGA held our 4th annual Georgia Precision Poultry Farming Conference virtually on May 1st, 2024. This year’s conference received about 380 registrations (e.g., poultry farmers, producers, service company managers, researchers, and students) from over 20 countries. We greatly appreciate the wonderful talk from each speaker and the support from…

    Posted in: Poultry, Precision animal production
  • Tracking Poultry Locomotion with AI Technology

    Lilong Chai

    March 24, 2024

    Poultry locomotion is an important indicator of animal health, welfare, and productivity. Traditional methodologies such as manual observation or the use of wearable devices, encounter significant challenges, including potential stress induction and behavioral alteration in animals. For instance, locomotion speed can be used to predict poultry gait score (an indicator of animal walking status) or…

    Posted in: Poultry, Precision animal production
  • 2024 Georgia Precision Poultry Farming Conference

    Lilong Chai

    March 11, 2024

    UGA poultry science department and Extension team will host the 2024 Georgia Precision Poultry Farming Conference virtually on May 1. The event is free for student participants. The conference will be recorded for sharing with registered participants. Registration link:  https://t.uga.edu/7S8 This year’s conference will be the fourth annual Georgia Precision Poultry Farming Conference. Our past three conferences…

    Posted in: Poultry, Precision animal production
  • Electrostatic particle ionization technology for air quality management in poultry houses

    Lilong Chai

    February 19, 2024

    In the USA, cage-free (CF) housing systems have gained popularity as an ethical and humane poultry farming method. However, the concentration of air pollutants inside CF housing, particularly regarding dust or particulate matter (PM), poses a major concern on animals and their caretakers. These air pollutants can threaten bird health and worker safety. Various studies…

    Posted in: Poultry, Precision animal production
  • Automatic Methods for Monitoring Broiler Chickens’ Body Weight

    Lilong Chai

    January 13, 2024

    Broiler body weight monitoring is critical for evaluating the growth and performance of a flock. The obtained bodyweight and uniformity of the flock are indicators of daily growth rate, feed-to-meat conversion ratio, health conditions, and marketing day prediction. The traditional protocol is to manually sample and weigh a certain ratio of a flock one by…

    Posted in: Poultry, poultry monitoring, Precision animal production
  • Detecting Broiler Chickens with an Innovated Deep Learning Model

    Lilong Chai

    November 19, 2023

    Introduction For commercial broiler production, about 20,000 – 30,000 birds are raised in each confined house, which has caused growing public concerns on animal welfare. Currently, daily evaluation of broiler wellbeing and growth is conducted manually, which is labor intensive and subjective to human errors. Therefore, there is a need for an automatic tool to…

    Posted in: Poultry, poultry monitoring, Precision animal production
  • Cage-Free Hens’ Mislaying Behavior Detection with Deep Learning

    Lilong Chai

    May 6, 2023

    Introduction The laying hen industry is shifting from conventional caged to cage-free (CF) housing due to various welfare concerns and public demand to improve poultry behavior and welfare. The CF housing can improve welfare by providing more space and chances to perform natural behaviors, but there are some serious downsides to bird welfare and problematic…

    Posted in: Precision animal production
  • Monitoring Spatial Distribution of Laying Hens with Deep Learning

    Lilong Chai

    April 12, 2023

    Introduction The spatial distribution of laying hens in cage-free houses is an indicator of flock’s health and welfare. While larger space allows chickens to perform more natural behaviors such as dustbathing, foraging, and perching in cage-free houses, an inherent challenge is evaluating chickens’ spatial distribution (e.g., real-time birds’ number on perches or in nesting boxes).…

    Posted in: poultry monitoring, Precision animal production
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Recent Posts

  • Successful 2025 Georgia Precision Poultry Farming Conference
  • Deep Learning Systems for Automatic Egg Grading
  • 2025 Georgia Precision Poultry Farming Conference
  • A Robotic Machine Vision System for Tracking Dead Chickens
  • Monitoring Perching Behavior of Cage-free Hens with Machine Vision

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