Abstract: A method is disclosed for determining a spatial feed insert distribution for feeding crustaceans that are present in a volume (4) at least partially enclosed by one or more barriers (6) for keeping the crustaceans (8) in the volume. The method comprises determining an actual spatial distribution of crustaceans within the volume. The method also comprises, based on the determined actual spatial distribution, predicting, for a future time, a future spatial distribution of crustaceans within the volume. The method also comprises determining, based on the future spatial distribution of crustaceans, a spatial feed insert distribution. The spatial feed distribution indicates one or more positions at a boundary of the volume and/or within the volume from which feed is to be inserted in the volume.

Abstract: A method is disclosed for instructing a user (20) for post-harvest trimming a bud (22) of a plant, preferably a cannabis plant. The method comprises presenting a side of the harvested bud (22) to an imaging system (16). The method also comprise illuminating, with a light source (14) system, a harvested bud (22) with illumination light (5). The illumination light (5) causes response light (7) from the harvested bud (22). The method also comprises an imaging system (16) receiving the response light (7) for forming an image of the harvested bud (22). In this method, (i) illuminating the bud (22) comprises illuminating with at least partially polarized illumination light (5) and/or (ii) detecting the response light (7) comprises polarization filtering the response light (7). The method also comprises an image processing system (100) determining, based on the formed image, a part of the bud (22) that is to be trimmed off.

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.