How AI is powering transformation in agricultural energy

How AI is powering transformation in agricultural energy

In recent years, the intersection of agriculture and architecture, commonly known as agritecture, has gained significant attention as a potential solution to the growing challenges of food production. Agritecture embraces diverse elements, encompassing high-tech vertical farms and greenhouses, while fostering a sense of community by including communal gardens. In the face of climate change and the urgent need for sustainable practices, integrating artificial intelligence (AI) into agritecture practices has emerged as a game-changer, particularly in energy management.

AI is being used to optimize energy consumption in agricultural operations, reducing costs and environmental impact.

This article delves into the transformative impact of AI on energy usage in greenhouses and vertical farms exploring how it reduces costs and fosters eco-friendly practices.

Demand-Side Management: A Strategic Approach

One of the key contributions of AI in the greenhouses and vertical farms lies in its ability to optimize demand-side management. AI can analyze large amounts of data from various sources to identify energy inefficiencies and suggest improvements. 

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