Agri-Food Innovation
Predictive Analytics LED Software for Indoor Farming
A horticultural artificial intelligence-powered LED system that can optimise energy cost and improve crop yield. The system can be remotely controlled and allows farmers to analyse daily light integral and formulate their own ‘light’ recipes.
Technology overview
By the year 2050, nearly 80% of the world’s estimated 9.8 billion population will reside in urban centres. In addition, factors such as climate change, limited arable land, and pollution will make indoor farming an attractive option. Current technologies used in traditional farming will be inadequate, and for Singapore, it will be even more vital to achieve food security with limited resources.
The technology developed consists of a horticultural LED system that can eventually help to address 2 main concerns of urban farming - operation cost and crop yield. The predictive algorithms can help to predict important lighting information necessary for indoor farming. This lighting information is crucial for end-users (e.g. farmers) to formulate their own “light” recipe for optimising the growth rate of their crops. In addition, it has analytics features that can assist in analysing daily light integral, energy costs, etc., for improving crop yield.
Technology feature
End-users (e.g. farmers) can formulate their own “light” recipe for optimising the growth rate of their crops.
Potential applications
Urban Vertical Farming
Greenhouse Farming
Benefits
Cost Saving
Optimise the crop’s yield
Reduce R&D time
Versatility of the lighting for different crops/growth periods
Scalability (Number of LEDs)
Commercialisation
This technology is available for licensing and technology transfer.
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