Scape Magazine

Applying AI to landscape planning holds potential as a method to better understand and predict. Learning machines can reduce deep uncertainty and more, perhaps even co-creating our cities and landscapes. In this article, geographic design manager Ilmar Hurxkens considers if and how this can happen. Please visit the #linkinbio, where you can buy this issue and read ‘Learning Machines for an AI Powered Landscape’.

‘Precision fertilization and soil regeneration based on highly localized sensor data can prevent overuse of chemicals and nutrient runoff’

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