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.

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.

Embodiments can provide a system and method of light validation in a lighting device, comprising communicating setpoint to a lighting device comprising a plurality of emitters; generating control signals for the plurality of emitters in response to the setpoint; calculating an estimate of the intensity and spectral power distribution of the composite radiant flux emitted by the lighting device through computing the control signals relative to lifetime performance data and a reference dataset. Embodiments can further provide a system and method for quality control and reporting, comprising transmitting, via a lighting device, validation signals comprising operating conditions, initial measurements, lifetime operating data, reference datasets, and spectrum and intensity estimates, and a device identifier to a central controller; receiving, via the central controller, one or more condition measurements comprising light measurements, temperature measurements, humidity measurements, moisture measurements, and nutrient chemistry measurements, and device identifiers from one or more light sensing devices and growth condition sensors.

Embodiments can provide a system and method of light validation in a lighting device, comprising communicating setpoint to a lighting device comprising a plurality of emitters; generating control signals for the plurality of emitters in response to the setpoint; calculating an estimate of the intensity and spectral power distribution of the composite radiant flux emitted by the lighting device through computing the control signals relative to lifetime performance data and a reference dataset. Embodiments can further provide a system and method for quality control and reporting, comprising transmitting, via a lighting device, validation signals comprising operating conditions, initial measurements, lifetime operating data, reference datasets, and spectrum and intensity estimates, and a device identifier to a central controller; receiving, via the central controller, one or more condition measurements comprising light measurements, temperature measurements, humidity measurements, moisture measurements, and nutrient chemistry measurements, and device identifiers from one or more light sensing devices and growth condition sensors.

Methods and systems may be used for controlling the color temperature of one or more light sources (e.g., discrete-spectrum light sources) based on fixture capability information. Fixture capability information may be obtained using a configuration tool. The fixture capability information may be determined by the configuration tool, and the fixture capability information determined by the configuration tool may be stored and/or processed. The fixture may have a memory for storing the fixture capability information. The fixture capability information may also be stored in a remote network device. A system controller may obtain the fixture capability information from the fixture or the remote control device. The system controller may generate control instructions based on the fixture capability information and send the control instructions to the fixtures.

Methods and systems may be used for controlling the color temperature of one or more light sources (e.g., discrete-spectrum light sources) based on fixture capability information. Fixture capability information may be obtained using a configuration tool. The fixture capability information may be determined by the configuration tool, and the fixture capability information determined by the configuration tool may be stored and/or processed. The fixture may have a memory for storing the fixture capability information. The fixture capability information may also be stored in a remote network device. A system controller may obtain the fixture capability information from the fixture or the remote control device. The system controller may generate control instructions based on the fixture capability information and send the control instructions to the fixtures.

An illumination device and method is provided herein for calibrating individual LEDs and photodetector(s) included within the illumination device, so as to obtain a desired luminous flux and a desired chromaticity of the device over time as the LEDs age. Specifically, a calibration method is provided herein for characterizing each emission LED and each photodetector separately. The wavelength and intensity of the illumination produced by each emission LED is accurately characterized over a plurality of different drive currents and ambient temperatures, and at least a subset of the wavelength and intensity measurement values are stored with a storage medium of the illumination device for each emission LED. The responsivity of the photodetector is accurately characterized over emitter wavelength and photodetector junction temperature, and results of said characterization are stored with the storage medium.

An illumination device and method is provided herein for calibrating individual LEDs and photodetector(s) included within the illumination device, so as to obtain a desired luminous flux and a desired chromaticity of the device over time as the LEDs age. Specifically, a calibration method is provided herein for characterizing each emission LED and each photodetector separately. The wavelength and intensity of the illumination produced by each emission LED is accurately characterized over a plurality of different drive currents and ambient temperatures, and at least a subset of the wavelength and intensity measurement values are stored with a storage medium of the illumination device for each emission LED. The responsivity of the photodetector is accurately characterized over emitter wavelength and photodetector junction temperature, and results of said characterization are stored with the storage medium.

A light engine with a driver interface is provided. The light engine is configured to be driven by a driver via the driver interface. The light engine comprises an LED circuit, wherein the LED circuit comprises a number of LED stands each comprising a number of LEDs. The light engine further comprises a control unit comprising a memory unit for storing a maximum allowable current value for the light engine, and a digital interface for receiving and/or sending data, wherein the control unit is configured to output the maximum allowable current value stored in the memory unit via the digital interface for configuring the driver so that the electric current provided by the driver does not exceed the maximum allowable current value of the light engine. A driver and a system are further specified.

A light engine with a driver interface is provided. The light engine is configured to be driven by a driver via the driver interface. The light engine comprises an LED circuit, wherein the LED circuit comprises a number of LED stands each comprising a number of LEDs. The light engine further comprises a control unit comprising a memory unit for storing a maximum allowable current value for the light engine, and a digital interface for receiving and/or sending data, wherein the control unit is configured to output the maximum allowable current value stored in the memory unit via the digital interface for configuring the driver so that the electric current provided by the driver does not exceed the maximum allowable current value of the light engine. A driver and a system are further specified.