Controlled environment agriculture method and system for plant cultivation

Abstract

The invention relates to a controlled environment agriculture for plant cultivation using artificial lights. The artificial lights comprise an array of light emitting diodes fabricated using gallium nitride, each gallium nitride operable over a wavelength of 380 nm to 900 nm. The array of light emitting diodes include at least one integrated drive controller and at least sensor. The controlled environment agriculture includes at least an imaging device and a control module. The control module comprises a machine learning module and an aggregator module configured connected to at least one sensor and at least one imaging device to aggregate various parameters including environmental data, and plant phenotyping data associated with the plants. Based on the aggregated The control module determines the spectral requirements of the plants for optimal growth based on at least one parameter aggregated from at least one sensor, at least one imaging device and a database to adjust the spectral light in the array of light emitting diodes in real time. The control module is associated with a power module for regulating the electrical power required by the array of light emitting diodes to optimize power consumption. In at least one implementation, the control module and the power module are dynamically controlled in real time by implementing machine learning algorithms to automate the controlled environment for agriculture to optimize and control the spectral and power requirements of the array of light emitting diodes.