The prototype solution combines machine vision, an aeroponic growth system, and automation to efficiently promote early crop growth. By using machine vision to monitor early crop growth, this solution is capable of providing real-time data and serving as a predictive tool for crop cultivation.
This innovation utilises machine vision to efficiently monitor early crop growth and identify seedling batches suitable for transplantation. It enables the monitoring of early crop growth such as plant density and height, allowing for the elimination of seedling batches of poor growth quality before the transplantation stage.
This technology serves as a predictive tool for crop cultivation by providing real-time data.
A reliable and productive real-time cultivation management tool.
Utilises cloud-enabled technology for data analysis.
RP has completed the proof-of-concept and is actively seeking project collaborators or consultancy projects to test the technology.
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