Ai-driven greenhouse management: opportunities and challenges in automation
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This paper examines the integration of artificial intelligence (AI) into greenhouse management, addressing critical agricultural challenges like limited land and food security. AI enhances precision control, boosting yields and optimizing resources, but faces obstacles during crises, exemplified by the war in Ukraine, including internet dependency and force majeure risks. Analyzing AI-driven solutions like LUNA, AgroFlow, and Heliospectra, the study highlights their benefits in real-time monitoring and resource optimization, while acknowledging connectivity limitations. Proposed solutions include local processing and backup systems. 1 Ultimately, AI-driven greenhouse automation significantly strengthens agricultural resilience and food production stability, particularly during crises.
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Biliy Ya., Piddubchak S. Ai-driven greenhouse management: opportunities and challenges in automation // Матеріали LIV Всеукраїнської науково-технічної конференції підрозділів ВНТУ, Вінниця, 24-27 березня 2025 р. Електрон. текст. дані. 2025. URI: https://conferences.vntu.edu.ua/index.php/all-fbtegp/all-fbtegp-2025/paper/view/23834.
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Список використаної літератури (7)
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