Ecological Game Field
Plants are given a voice through machines. An AI vision system reads their growth state and redistributes light and nutrients in a decentralised manner — forming a network where plants negotiate, cooperate, and survive together.
A challenge to traditional subject-object boundaries: who is the agent in this system, and who is the resource? The work proposes that machines can be intermediaries, not masters. Cameras observe, AI interprets, but the plants themselves remain the protagonists of the system.
High-precision cameras continuously monitor leaf color, growth stage, and electrical signals from the plants. When the system detects that a plant is under-resourced, light and nutrient solution are redirected — but the redirection is governed by a decentralized algorithm that respects each plant's state, not a top-down optimization.
The result is a strange ecology: plants whose needs are heard but not solved, machines that respond but do not control. It is a small experiment in what post-anthropocentric design might look like in practice — not a utopia, but a working negotiation.