Reviewing the use of AI in CEA

Reviewing the use of AI in CEA

Source: VFD.com

Reviewing the use of AI in CEA Controlled environment agriculture (CEA) refers to the practice of growing crops within regulated, enclosed systems where factors such as light, temperature, humidity, and nutrients can be precisely controlled. These systems generate vast amounts of operational and biological data as sensors continuously monitor plant and environmental conditions.

Artificial intelligence (AI), a field focused on creating systems that learn from data and make informed decisions, can then be used to process this huge data set, including environmental adjustments to forecasting crop growth and yield, ultimately improving productivity while reducing waste. AI monitors agricultural parameters such as crop genetics, health and disease, livestock, soil moisture, soil quality and moisture, climate, autonomous machinery, resource efficiency, weed control, genetics, harvest timing and market forecasting to enable real-time monitoring of factors like weather, temperature, water usage, and soil conditions, thus enabling farmers to minimize losses and boost yields.

Individual farmers are likely to operate with more than 75 million interconnected devices, with an average farm producing 4.1 million data points on average per day by 2050. Journal of the American Society for Horticultural Science, 151(4), 306–314.

Why this matters: For operators, this is a water-management story. The useful signal is that direct substrate measurements can help cut drain loss materially without giving up yield or fruit quality, which is exactly the kind of controllable efficiency gain a facility can build on.

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Frequently Asked Questions

Why does substrate sensing matter in free-drain strawberry systems?

Because drain percentage tells a grower what already happened, while substrate moisture and EC data show root-zone conditions directly. That makes it easier to cut water loss without guessing.

What is the operator takeaway from this trial?

If the thresholds are understood well enough, growers can reduce drain water materially while protecting yield and fruit quality, which makes sensing an operational tool instead of a reporting tool.

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