Abstract: A detection system (100) is disclosed herein. The system includes a sensor system (120) positioned to obtain image sensor data at different times of a live cannabis plant and a data storage system (130) configured to store the image sensor data. The system further includes a processor (140) coupled to the data storage system to receive the image sensor data. The processor includes a target region selection module (160) configured to determine a region of the live cannabis plant that contains a flower and generate a feature indicative of a characteristic of the flower. The processor further includes a grade estimation module (170) configured to estimate a qualitative assessment for the flower based on the feature and a temporal aggregation module (540) configured to combine the estimated qualitative assessments to output a final aggregated assessment.

Abstract: A system for autonomous monitoring and/or optimization of plant (140) growth is provided. The system may include actuation devices configured to interact with an agricultural area (120), image sensors (130) configured to capture images (170) of a plant (140) in the agricultural area (120), and a processor (150) in communication with the image sensors (130) and the actuation devices. The processor (150) may be configured to store, via a memory (160), a first image (170) of the agricultural area (120) captured prior to a first actuation of the actuation devices; and trigger, synchronously with the first actuation, the image sensors (130) to capture a second image (180) of the agricultural area (120).

Abstract: A method for creating a binary code in an electronic device is provided, which includes operations of confirming an image resource for an application, based on a request for creating a binary code for the application; determining an attribute for the image resource; selectively converting the image resource into a compressed texture, based on the attribute; and, if the image resource is converted, creating the binary code for the application, based on the converted image resource.

Abstract: A parallelization method includes: obtaining profiling information for each job step of a job by performing profiling of the job to be executed on an electronic device; determining at least one job step to be parallelized on a central processing unit (CPU) and at least one heterogeneous unit of the electronic device among a plurality of job steps of the job based on the profiling information; determining a unit to process each unit data among the CPU and the heterogeneous unit based on the profiling information, with respect to the determined at least one job step; and determining a unit to process each task among the CPU and the heterogeneous unit based on the profiling information, with respect to at least one job step including a plurality of separately executable tasks in the determined at least one job step.

Abstract: A parallelization method includes: obtaining profiling information for each job step of a job by performing profiling of the job to be executed on an electronic device; determining at least one job step to be parallelized on a central processing unit (CPU) and at least one heterogeneous unit of the electronic device among a plurality of job steps of the job based on the profiling information; determining a unit to process each unit data among the CPU and the heterogeneous unit based on the profiling information, with respect to the determined at least one job step; and determining a unit to process each task among the CPU and the heterogeneous unit based on the profiling information, with respect to at least one job step including a plurality of separately executable tasks in the determined at least one job step.

Abstract: A method for creating a binary code in an electronic device is provided, which includes operations of confirming an image resource for an application, based on a request for creating a binary code for the application; determining an attribute for the image resource; selectively converting the image resource into a compressed texture, based on the attribute; and, if the image resource is converted, creating the binary code for the application, based on the converted image resource.