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

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.


Capabilities

  • 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


Dashboard

Platform Selection

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Nutrient Tracking

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Plant Feature Correlation

Video Analytics

Financial Management