Abstract: An example process includes at an electronic device with one or more processors and memory: receiving a natural language input including a user request; determining whether the user request corresponds to a personal request; in accordance with a determination that the user request does not correspond to a personal request: transmitting, by the electronic device, a representation of the user request to an external electronic device; and in accordance with a determination that the user request corresponds to a personal request: initiating, by the electronic device, a task based on the user request without transmitting the representation of the user request to the external electronic device; and providing a first result based on the initiated task.

Abstract: A spectroscopic detection method for detecting a lycopene content in an agricultural product is realized by a spectrometer. The spectrometer includes: a light source device, a convergence device, a chopping device, a filter device, a detection device, and a processing device. The spectroscopic detection method includes: activating the light source device to generate light; converging, by the convergence device, the light generated by the light source device to obtain converged light; controlling and driving the chopping device to obtain detection light used for irradiating an agricultural product and having a modulation frequency; providing the filter device on an optical path of the detection light to obtain characteristic light; controlling the detection device to convert an optical signal of the characteristic light into an electrical signal; and controlling the processing device to output a substance content analysis result according to the electrical signal output by the detection device.

Abstract: A spectrometer for detecting a trace element in an agricultural product and use thereof is provided. The spectrometer includes: a light source device configured to generate light required by spectroscopic detection; a convergence device configured to converge the light generated by the light source device; a chopping device configured to modulate a frequency of light converged by a convergence device; a filter device configured to shield light of a wavelength other than a preset wavelength; a detection device configured to receive light passing through a to-be-detected agricultural product and the filter device, and convert an optical signal into an electrical signal; and a processing device configured to generate spectroscopic analysis data according to the electrical signal outputted by the detection device and output a substance content analysis result according to the spectroscopic analysis data, where the preset wavelength of the filter device ranges from 400 nm to 5,000 nm.

Abstract: An example process includes at an electronic device with one or more processors and memory: receiving a natural language input including a user request; determining whether the user request corresponds to a personal request; in accordance with a determination that the user request does not correspond to a personal request: transmitting, by the electronic device, a representation of the user request to an external electronic device; and in accordance with a determination that the user request corresponds to a personal request: initiating, by the electronic device, a task based on the user request without transmitting the representation of the user request to the external electronic device; and providing a first result based on the initiated task.

Abstract: Systems and processes for processing natural language input are described. An example process for processing natural language input includes receiving a natural language input and determining a domain corresponding to the natural language input. The example process further includes, in accordance with determining the domain corresponding to the natural language input, determining, based on the natural language input, a first value for a first property of the domain and determining, based on a named entity model and the natural language input, a second value for the first property of the domain, where the second value defines a parameter for a task corresponding to the natural language input. The example process further includes performing the task based on the parameter and providing a result based on the performed task.

Abstract: Systems and processes for processing natural language input are described. An example process for processing natural language input includes receiving a natural language input and determining a domain corresponding to the natural language input. The example process further includes, in accordance with determining the domain corresponding to the natural language input, determining, based on the natural language input, a first value for a first property of the domain and determining, based on a named entity model and the natural language input, a second value for the first property of the domain, where the second value defines a parameter for a task corresponding to the natural language input. The example process further includes performing the task based on the parameter and providing a result based on the performed task.