Where engineering meets things that grow
Living systems are the oldest working reference library an engineer has, and the least well indexed. These essays treat that library as an engineering resource rather than a source of imagery: how to abstract a principle from an organism without copying an accident, why a greenhouse is a control problem with a badly observed plant in the loop, what a sensor left in a field can and cannot establish, and where evolution’s objectives and yours quietly part company.
All essays
- Absence of Evidence in a Field of Sensors
Ecological monitoring produces detections; the questions it is asked are about states. Everything hard about the discipline lives in the gap — detection probability, effort bias, instrument drift, and classifiers that quietly rewrite the survey protocol.
- Setpoints, Sensors, and the Plant in the Middle
A greenhouse controller holds air conditions; the crop responds to leaf conditions. Controlled-environment and precision agriculture are both control problems whose controlled variable is a proxy, whose actuators are coupled, and whose response integrates over weeks.
- Evolution Was Solving a Different Problem
Nature-inspired design is pitched on the premise that evolution already optimised the answer. It optimised something else, under a different cost structure, from a starting point it could not leave. Knowing where the objectives diverge is the whole skill.
- Copying the Wing, Missing the Principle
Biology is a library of solved physical problems indexed by organism rather than by function. Biomimicry works as an engineering method only when you translate that index — and check which forces still dominate at your scale.