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Artificial Intelligence

NeuponicsAI will use predictive analytics by A.I. processing to determine efficient plant growth. Operational equipment predictive analytics will also reduce downtime and maintenance costs. This will allow nearly uninterrupted plant growth. The predictive nature will also optimize schedules for required maintenance, with maintenance shifts and skips when predictive analytics dictates. 

Computer Processor

Machine Learning

Machine learning and processing of multifaceted collected data will be used to increase yield efficiencies and reduce environmental impact and reduce natural resource utilization.

Data Resources

The collected Data will be processed by the Al engine to determine the combination of highest yields, and most

efficient management of resources.

Data Processing
Team of Industrial Engineers

Team Expertise

Our knowledgeable team will institute the Al guidance and provide additional human feedback to verify intended results, and give the non-sensor data to the Al engine in order to provide the highest yields.

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