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Month: January 2024

IIPA Announces 2024 Seed Grants Program Funding Recipients

Congratulations to the following recipients of the 2024 IIPA Seed Grants:

TitleSSIF:  A Deep Generative Model for Remote Sensing Image Spatial-Spectral Super-Resolution for Precision Agriculture
PI:  Gengchen Mai, Assistant Professor, Department of Geography, Athens Campus

Title: Harnessing Deep Learning Algorithms for Ultrasound Image Analysis to Support Reproductive Management Decisions in Cattle
PI:  Todd Callaway, Associate Professor, Department of Animal & Dairy Science, Athens Campus

Title:  EggPicker: A mobile robotic system for identifying, localizing, and collecting floor eggs in cage-free hen housing environments
PI:  Guoming Li, Assistant Professor, Department of Poultry Science, Athens Campus

Title:  Enhancing Efficacy of Ornamental Crop Production: Application of Advanced Technologies for Automating Nursery Production Operations to Improve Labor Use Efficiency
PI:  Md Sultan Mahmud, Assistant Professor, Department of Plant Pathology, Athens Campus

Title:  PRECISIONDETECT (PD): AI-Enhanced Hyperspectral Imaging for Early Chicken Egg Fertility Detection
PI:  Christopher Kucha, Assistant Professor, Department of Food Science & Technology, Athens Campus

Title:  Revolutionizing Agriculture with Data-Driven Solutions:  Exploring Microbiome Function and Modulation in Animals through Machine Learning
PI:  Aditya Mishra, Assistant Professor, Department of Statistics, Athens Campus

Title:  Prediction model for breeding peanuts with desired roasted flavor
PI:  Joonhyuk Suh, Assistant Professor, Department of Food Science & Technology, Athens Campus

IIPA Seminar Series – January 30 – Mehmet Kurum

iipa-seminar-series-Kurum

 

 

 

 

 

 

 

Date:  Tuesday, January 30th

Time:   12:00 – 12:30 PM

Join Zoom Meeting (Meeting ID:  Meeting ID: 942 1051 5640; Passcode: 375080)

Speaker:  

Mehmet Kurum

Title:  “Unveiling the Potential of GNSS Transmissometry (GNSS-T) for Remote Sensing of Forest Canopy Water Content: Challenges and Pathways to ‘Radio Realistic’ Forest Scene Generation”

Automatic Methods for Monitoring Broiler Chickens’ Body Weight

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 […]
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