Dr. Yiannis Ampatzidis began as an Assistant Professor in 2017 and leads a research and extension precision agriculture engineering program in the Southwest Florida Research and Education Center (SWFREC) in Immokalee.
Dr. Ampatzidis works in the area of mechanization and automation of specialty crop production. He focuses on the design, development and testing of sensors and control systems for optimal management of inputs, resources and products. Dr. Ampatzidis’ current research focuses on mechanical harvest of specialty crops, mechatronics, artificial intelligence, machine vision, precision agriculture, precision irrigation, smart machines, UAVs and machine systems. Dr. Ampatzidis has a special interest in development, implementation and evaluation of agricultural machines and control systems for high value crops (precision agriculture applications, remote sensing, embedded systems developing and programming, UAVs-drones, GIS applications).
- Simulate crop yield, water and nutrient balances (http://floridanwater.org/modeling/)
- Apply artificial intelligence to forecast hydrologic variables
- Develop programs for an efficient use of water, and evaluation of smart irrigation technologies
- Implement Best Management Practices (BMP’s) in Southeast Florida
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Yiannis Ampatzidis - Research Publications
- AgriSenAI: Automating UAV thermal and multispectral image processing for precision agriculture
BB Tulu, F Teshome, Y Ampatzidis, NS Hailegnaw, HK Bayabil
SoftwareX 30, 102083
- Enhancing genomic‐based forward prediction accuracy in wheat by integrating UAV‐derived hyperspectral and environmental data with machine learning under heat‐stressed environments
J McBreen, MA Babar, D Jarquin, Y Ampatzidis, N Khan, S Kunwar, ...
The Plant Genome 18 (1), e20554
- AI-Driven Non-Destructive Detection of Meat Freshness Using a Multi-Indicator Sensor Array and Smartphone Technology
SA Mehdizadeh, M Noshad, M Chaharlangi, Y Ampatzidis
Smart Agricultural Technology, 100822
- An Intelligent Group Learning Framework for Detecting Common Tomato Diseases Using Simple and Weighted Majority Voting with Deep Learning Models
SM Javidan, Y Ampatzidis, A Banakar, K Asefpour Vakilian, K Rahnama
AgriEngineering 7 (2), 31
- Variable Rate Technology and Its Application in Precision Agriculture: AE607, 1/2025
V Sharma, UBP Vaddevolu, S Bhambota, Y Ampatzidis, H Bayabil, ...
EDIS 2025 (1)
- Promote educational programs in water use and scheduling for irrigation.
- Incentivize freshwater systems conservation using BMP’s
- Increase public awareness of water issues.