Plants as intelligent sensors for precision agriculture

01 October 2017 → 30 September 2021
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Modelling and simulation
    • Plant morphology, anatomy and physiology
  • Engineering and technology
    • Sensors, biosensors and smart sensors not elsewhere classified
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.