Our system uses a mobile and web-based software platform that helps indoor farms manage their crops and gain data-driven insights to make more profitable production decisions.

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plantOS consists of a set of environmental sensors and a machine learning-powered platform for big data analytics. The first prototype is currently deployed at CityFarm in Seri Kembangan, Selangor. It gathers and analyses cropping data and displays results on a webbased dashboard. The machine learning algorithm is also trained to perform object recognition, and soon, multispectral image analysis to qualify crop performance in real time. plantOS is currently undergoing iterations.


  • Track Nutrient Metrics

  • Plant Feature Correlation

  • Computer Vision Measuring Plant Growth 

  • Create Crop Cycle Templates and Scheduling

  • View 30-Day Harvest Forecast

  • Record Yield Data


Platform Selection

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Nutrient Tracking

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Plant Feature Correlation

Video Analytics

Financial Management