Agricultural and Life Sciences (IFAS)
Precision Agriculture Engineering Program
Led by Yiannis Ampatzidis · Agricultural and Biological Engineering
What we study
The lab uses drones, sensors, and AI to improve farming with precision tools like smart sprayers and yield prediction models. They develop automated systems for crop monitoring and resource management.
What working here is like
- Fieldwork
- Computational
- Building & testing
- Plants
- Coding helps
- Projects
- 4
- Papers
- 5
Current projects
UAV-based High Throughput Phenotyping
Uses drones to analyze tree health, measure canopy size, and predict yield.
Real-time Green Fruit Detection
Develops AI models to count and predict fruit yield per tree.
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Smart Technology for Precision Weed Management
Creates multi-robot sprayers using machine vision and AI to target weeds.
Automated Psyllids Detection in the Field
Uses ground- and UAV-based systems to detect citrus pests early.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- A compact mechanism-based vertical structural representation for UAV LiDAR detection of dead trees in citrus orchards
2026 · Computers and Electronics in Agriculture
- Leveraging agricultural mechanization for achieving sustainable development goals
2026 · Agriculture Communications
Looks at how agricultural machines help meet global sustainability goals.
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- A LoRaWAN-Enabled Capacitive Sensor Network for Soil Moisture and Groundwater Monitoring
2026 · Sensors
Builds a low-cost network of sensors to monitor soil and groundwater using wireless signals.
- Adaptive ARX pressure modeling for smart variable-rate agricultural sprayers
2026 · Smart Agricultural Technology
Compares different ways to predict pressure in smart sprayers to improve their control.
- Adversarial Robustness of Vision-Based Perception in Precision Agriculture: Attacks, Defenses, and a Case Study on the Agrosense v2 Platform
2026 · Smart Agricultural Technology
Tests how AI vision models in agriculture handle attacks that trick them into making wrong decisions.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Yiannis Ampatzidis hasn't set up this page yet. You can also look them up in the UF directory (search “Yiannis Ampatzidis”).