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Project

Plants as intelligent sensors for precision agriculture

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.

Date:1 Oct 2017 →  30 Sep 2021
Keywords:non-linear dynamical systems, greenhouses, reservoir computing, precision agriculture, sensors, machine learning
Disciplines:Programming languages, Visual computing, Other information and computing sciences, General biology, Theoretical computer science, Scientific computing, Information systems, Artificial intelligence, Cognitive science and intelligent systems, Applied mathematics in specific fields, Distributed computing, Plant biology, Computer architecture and networks, Information sciences, Modelling and simulation, Sensors, biosensors and smart sensors not elsewhere classified, Plant morphology, anatomy and physiology