I mean, the short answer is if all of the constraints and inputs to a problem are known, you don't need an AI at all. There is a guaranteed optimal crop arrange

I mean, the short answer is if all of the constraints and inputs to a problem are known, you don't need an AI at all. There is a guaranteed optimal crop arrangement, and the model to produce it would be purely based on natural sciences only - physics, biochemistry, engineering etc. AI is only required when there is some unknown, ambiguous, adversarial, or otherwise non-existent input or constraint. AI (or indeed any intelligence) is only useful in situations where there is "bias" (in the data science sense), inference, preference, and extrapolation being used to make decisions in an unknown space. And it's precisely in these areas where ethics can be part of the "weights" given to those inferences and preferences.