Code
01D32417
Duration
01 October 2017 → 30 September 2021
Funding
Regional and community funding: Special Research Fund
Promotor
Fellow
Research disciplines
-
Natural sciences
- Modelling and simulation
- Plant morphology, anatomy and physiology
-
Engineering and technology
- Sensors, biosensors and smart sensors not elsewhere classified
Keywords
machine learning
precision agriculture
sensors
reservoir computing
non-linear dynamical systems
greenhouses
Project description
Plants are complex non-linear dynamical systems that interact with their environment. I propose that this interaction can be modelled by means of physical reservoir computing. A framework will be designed that captures embodied plant intelligence using a limited set of sensors. This framework
will then be employed to perform greenhouse climate control, optimising crop growth conditions for precision agriculture.