In some embodiments, this disclosure provides a method for creating a design layer to adhere to a living body, said method comprising: drawing a design on a surface layer by placing a dye on the surface layer in advance; and placing an adhesive layer thereon; and adhering the dye so that it is sandwiched between the surface layer and the adhesive layer.

In some embodiments, a computer-implemented method is disclosed. The method comprises receiving a plant image from a user device and applying a first digital model to first regions within the image for classifying each of the first regions into a class of a first set of classes corresponding to a first plurality of plant diseases, a healthy condition, or a combination of a second plurality of plant diseases. The method also includes applying a second digital model to one or more second regions within the image for classifying each of the one or more second regions into a class of a second set of classes corresponding to the second plurality of plant diseases. The method then includes transmitting classification data related to the classes of the first set of classes and the classes of the second set of classes to the user device into which the regions are classified.

A method alters genetic material of a plant, which is capable of growing flower buds, when grown from soil and in an atmosphere. The method includes modifying the soil to have a pH below 7.0. The method also includes the step of eliminating free oxygen in the atmosphere when the flower buds of the plant become visible.

A method for promoting growth and bioactive substances of Crepidiastrum denticulatum including performing a stress treatment on Crepidiastrum denticulatum during cultivation thereof, in which the stress treatment includes at least of applying visible light, drying, exposing to low temperature, irradiating ultraviolet rays, and applying a chemical elicitor.

The present disclosure relates to methods and systems for obtaining image information of an organism including a set of optical data; calculating a growth index based on the set of optical data; and calculating an anticipated harvest time based on the growth index, where the image information includes at least one of: (a) visible image data obtained from an image sensor and non-visible image data obtained from the image sensor, and (b) a set of image data from at least two image capture devices, where the at least two image capture devices capture the set of image data from at least two positions.

The present disclosure relates to methods and systems for obtaining image information of an organism including a set of optical data; calculating a growth index based on the set of optical data; and calculating an anticipated harvest time based on the growth index, where the image information includes at least one of: (a) visible image data obtained from an image sensor and non-visible image data obtained from the image sensor, and (b) a set of image data from at least two image capture devices, where the at least two image capture devices capture the set of image data from at least two positions.

The present technique relates to an image processing apparatus, an image processing method, and a program that can easily execute a stitching process. Provided are: an image generation unit that generates a first reference image regarding a first imaging region on the basis of a plurality of first images regarding the first imaging region and that generates a second reference image regarding a second imaging region at least partially overlapping with the first imaging region on the basis of a plurality of second images regarding the second imaging region; and a processing unit that generates positioning information indicating a correspondence between the first imaging region and the second imaging region on the basis of the first reference image and the second reference image. The present technique can be applied to, for example, an image processing apparatus that executes a stitching process of a plurality of images.

A specific environmental stress on vegetation is calculated highly accurately and relatively easily. For generation of environmental stress information, vegetation information is obtained first using an imaging signal of vegetation. Furthermore, reference vegetation information associated with vegetation information in a state of being free of, for example, a specific environmental stress is obtained. Moreover, as information associated with an environmental stress on the vegetation, difference information between vegetation information acquired from an imaging signal of vegetation in a state of being likely to have the specific environmental stress and the reference vegetation information is obtained.

A specific environmental stress on vegetation is calculated highly accurately and relatively easily. For generation of environmental stress information, vegetation information is obtained first using an imaging signal of vegetation. Furthermore, reference vegetation information associated with vegetation information in a state of being free of, for example, a specific environmental stress is obtained. Moreover, as information associated with an environmental stress on the vegetation, difference information between vegetation information acquired from an imaging signal of vegetation in a state of being likely to have the specific environmental stress and the reference vegetation information is obtained.

A hand cropping tool includes arm members that have handle portions and jaw portions. The jaw portions include curved surfaces that are at least partially covered by deformable materials. The hand cropping tool is configured to be moved from an open configuration in which the first and second jaw members are spaced apart from one another and a closed configuration in which at least a portion of the first jaw member is in contact with at least a portion of the second jaw member. In the closed configuration, the first and second deformable materials collectively define at least one first plant-receiving area.