Ole Green

About

Ole Green is a pioneering researcher at the intersection of agricultural robotics and precision farming, with a primary focus on leveraging the Internet of Things (IoT) and autonomous systems to revolutionize arable farming. His most impactful work, the 2020 review "Internet of Things in arable farming," has garnered 369 citations, establishing him as a leading voice on how IoT enables data-driven, cost-effective, and environmentally sustainable crop production. Green’s contributions extend to field robotics, where he developed algorithmic approaches for autonomous grass cutting and pitch marking on football fields, demonstrating practical applications of GPS-guided robots in sports turf management. His research also explores grain quality-based selective harvesting, showing how autonomous robots can optimize economic and environmental outcomes by targeting high-protein grain zones. With a career spanning from early robotic guidance systems to cutting-edge IoT integration, Green’s work is notable for bridging engineering innovation with real-world agricultural challenges, offering scalable solutions that reduce environmental impact while enhancing farm productivity.

Research Focus

Key Achievements

Top Papers

1. 1
   Internet of Things in arable farming: Implementation, applications, challenges and potential

   369 citations · 2020
2. 2
   Field Robotics in Sports: Automatic Generation of Guidance Lines for Automatic Grass Cutting, Striping and Pitch Marking of Football Playing Fields

   22 citations · 2011
3. 3
   Evaluation of Grain Quality-Based Simulated Selective Harvest Performed by an Autonomous Agricultural Robot

   6 citations · 2021
4. 4
   Design Space Exploration in the Development of Agricultural Robots

   5 citations · 2018

Key Collaborators

Contact & Links