Precision Agriculture

Geographic Information System (GIS)/Global Positioning System (GPS), Remote Sensing, Unmanned Aerial Vehicles

UF/IFAS ABE precision agriculture and automation extension programs include the development of an educational program to promote adoption and evaluation of state-of-the-art precision agriculture machinery, equipment, and techniques with a goal of improving the profitability and environmental sustainability of Florida’s specialty crop industry. Topic areas include smart machinery, GIS/GPS applications, remote sensing, UAV (Unmanned Aerial Vehicles), Artificial Intelligence (AI), machine vision and robotics, wireless sensors network, Internet of Things (IoT), and mechatronics.

UF/IFAS EDIS Publications

• Instructions on the Use of Unmanned Aerial Vehicles (UAVs)
• Precision Farming Adoption by Florida Citrus Producers: Probit Model Analysis
• Yield Mapping Hardware Components for Grains and Cotton Using On-the-Go Monitoring Systems
• More EDIS Publications

Use the dropdown arrows below to learn more about our Extension faculty.

• Dr. Yiannis Ampatzidis - Precision Agriculture/Automation

  Dr. Yiannis Ampatzidis Assistant Professor Precision Agriculture/Automation 239-658-3451 i.ampatzidis@ufl.edu

  Unmanned Aerial Vehicle (UAV) in agriculture, real-time sensing, disease detection, variable-rate technology, and GIS/GPS systems for site-specific management practices Precision farming technologies, precision irrigation Smart machines and systems in agriculture, Internet of Things Artificial Intelligence, machine learning, and machine vision Automation and robotics for specialty crops Farm machinery, mechanization for specialty crops

• Dr. Aditya Singh - Remote Sensing and Spectroscopy

  Dr. Aditya Singh Assistant Professor Remote Sensing and Spectroscopy 352-294-6739 aditya01@ufl.edu | ROG 261

  Remote sensing, spectroscopy Develop methods for landscape-scale assessments of forest health using remotely sensed imagery and environmental data Develop new tools, techniques, and instrumentation for efficient detection of nutrient status and stress in agricultural crops due to pests and diseases