“For many CEA advocates and technology authorities,
AI is the next phase in streamlining and sophisticating
agricultural procedure as well as global subsistence patterns.”
While issues with environmental predictability that plague AI applications in
traditional agriculture may not seem to affect CEA production as intensely, there
are still factors that make AI fall short in controlling CEA growing in its entirety. For
instance, many greenhouse gardens are still largely at the mercy of Mother Nature
and present challenges with anomalous weather patterns. Similarly, indoor growing
operations experience problems with such irregularities as equipment failure and
power outages, which only human intervention can fix.
Controlled environment agriculture crop production is only
as strong as the equipment and human labor supporting it,
so the balance between these two continues to shift under
the pressures of new advancements with technology such
as AI. This notion presents an interesting crux in modern
cultivation processes, as automation can provide a more
efficient platform for consistency than with human labor.
However, machines cannot account for the rhythms of
the natural world or other operational variances.
Many accomplished horticulturists understand the
intuitive touch it takes to produce exceptional crops —
this intuition comes as a feeling rather than as a form of
objective knowledge or data. AI and other technological
advancements in CEA growing have their place in
today’s horticultural processes, yet cannot match
the capacity for creativity
explicit in the human mind.
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Maximum Yield