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Artificial Intelligence-Driven Environmental Control Systems in CEA

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Controlled Environment Agriculture & Hydroponics

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Agriculture › Controlled Environment Agriculture & Hydroponics

Artificial Intelligence-Driven Environmental Control Systems in CEA

Investigation explores machine learning algorithms that predict and autonomously regulate temperature, humidity, CO2, and light spectral distribution based on real-time plant physiological responses and growth stages. This research produces novel insights into plant-environment feedback mechanisms and validates AI-optimized growing protocols that exceed conventional manual control benchmarks.

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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

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