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Artificial intelligence (AI) is poised to transform greenhouse management by optimizing processes like irrigation and climate control. Experts from Koidra, Rutgers University, and The Ohio State University discuss the potential benefits and challenges of integrating AI into controlled environment agriculture (CEA). The focus is on how machine learning can enhance decision-making and operational efficiency in greenhouses.
Despite the promising applications of AI, several obstacles must be addressed for successful integration. Key challenges include the need for legacy system integration, data loss management, and ensuring data safety. A balanced approach that combines human expertise with AI capabilities is essential for maximizing the benefits of this technology in greenhouse operations.
• AI can optimize irrigation and climate control in greenhouses.
• Challenges include legacy system integration and data safety.
AI is discussed in the context of its potential to enhance greenhouse management through automation and data analysis.
Machine learning is highlighted as a key technology for optimizing greenhouse operations.
The article emphasizes the importance of predictive models in adjusting greenhouse conditions based on environmental variables.
Koidra's CEO discusses the integration of AI in greenhouse production.
OHP's recent promotion of a VP highlights its commitment to advancing greenhouse management practices.
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