Abstract: Control or repellency of one or more pests is obtained by disrupting intraspecific communication or interspecific communication in the one or more pests, by exposing the one or more pests to a formulation comprising one or more compounds of structure (A) represented by the structure: wherein the one or more compounds of structure (A) are present in an amount from about 0.001% by weight to about 99% by weight, based on the total weight of the formulation. The one or more pests are selected from agricultural pests, forestry pests, storage pests, urban pests, and public health pests. The intraspecific communications include pheromone-mediated communications associated with mating and aggregation behavior, the effect of sexual and aggregation pheromones, and attraction in general.

Abstract: A backbone machine learning model is applied to a captured image of a number of documents to identify image features of the captured image. A head machine learning model is applied to the image features to identify a number of candidate quadrilaterals within the captured image. An edge detection technique is applied to each candidate quadrilateral to identify edges of a corresponding document of the captured image within the candidate quadrilateral.

Abstract: Compositions and methods for affecting Tuta absoluta. The compositions are kairomone blends that attract male and female Tuta absoluta. The compositions may further include a pesticide.

Abstract: A device including a camera, a user interface, a memory, and at least one processor. The camera is to capture a plurality of images. The user interface is to display a captured image among the plurality of captured images and to display feedback corresponding to the captured image. The memory is to store feedback data predicting a quality threshold of the plurality of captured images and indicating a type of feedback to be displayed on the user interface corresponding to the captured image. The at least one processor is to display the feedback on the user interface based on whether the captured image is below the predicted quality threshold of the plurality of captured images, the quality threshold being based on the stored feedback data, and update the feedback data stored in the memory based on a comparison between the captured image and the plurality of captured images.

Abstract: Compositions and methods for affecting Hemiptera. The compositions contain an alkyl ester of (2,4)-decadienoic acid. The compositions attract Hemiptera. The compositions may further include a toxicant.

Abstract: Compositions and methods for affecting Hemiptera. The compositions contain an alkyl ester of (2,4)-decadienoic acid. The compositions attract Hemiptera. The compositions may further include a toxicant.

Abstract: A backbone machine learning model is applied to a captured image of a number of documents to identify image features of the captured image. A head machine learning model is applied to the image features to identify a number of candidate quadrilaterals within the captured image. An edge detection technique is applied to each candidate quadrilateral to identify edges of a corresponding document of the captured image within the candidate quadrilateral.

Abstract: Compositions and methods for affecting Tuta absoluta. The compositions are kairomone blends that attract male and female Tuta absoluta. The compositions may further include a pesticide.

Abstract: Compositions and methods of using the compositions for controlling a noctuid population, wherein the compositions contain at least one noctuid attractant. The compositions may further include a feeding stimulant and/or a pesticide.

Abstract: Compositions and methods of using the compositions for controlling a hemiptera population, wherein the compositions contain at least one at least one aggregation pheromone and at least one kairomone attractant. The compositions may further include a pesticide.

Abstract: A device including a camera, a user interface, a memory, and at least one processor. The camera is to capture a plurality of images. The user interface is to display a captured image among the plurality of captured images and to display feedback corresponding to the captured image. The memory is to store feedback data predicting a quality threshold of the plurality of captured images and indicating a type of feedback to be displayed on the user interface corresponding to the captured image. The at least one processor is to display the feedback on the user interface based on whether the captured image is below the predicted quality threshold of the plurality of captured images, the quality threshold being based on the stored feedback data, and update the feedback data stored in the memory based on a comparison between the captured image and the plurality of captured images.

Abstract: Compositions and methods for affecting Hemiptera. The compositions contain an alkyl ester of (2,4)-decadienoic acid. The compositions attract Hemiptera. The compositions may further include a toxicant.

Abstract: A point extraction machine learning model is applied to a captured image of one or multiple documents to identify the documents within the captured image and to identify boundary points for each document. For each document identified within the captured image, an instance segmentation machine learning model is applied to the boundary points for the document and to the captured image to extract a segmentation mask for the document.

Abstract: In example implementations, an apparatus is provided. The apparatus includes a video camera, a detection device, a tracking device, a display, and a processor. The video camera is to capture a video image of a plurality of documents. The detection device is to detect the plurality of documents in a frame of the video image. The tracking device is to track each one of the plurality of documents that is detected in a series of frames of the video image. The display is to generate a visual indicator around each one of the plurality of documents in the video image that is displayed. The processor is in communication with the video camera, the detection device, the tracking device, and the display to control execution of the video camera, the detection device, the tracking device, and the display.

Abstract: Methods and compositions in which botanical oils, such as wintergreen oil, and/or isolated methyl salicylate are combined with an attractant matrix (pellets) and applied near a nest of leaf-cutting ants. These oils possess fungicidal and fungistatic properties that destroy and inhibit growth of the ant-cultivated fungus—the ant colony's sole food source—thereby promoting destruction of the colony. These oils are also highly attractive to the ants, exerting no repellent effects, encouraging transport of the fungicidal materials into the nest and ensuring that the fungal colonies come into contact with the materials and suffer mortality.

Abstract: Methods and compositions in which botanical oils, such as wintergreen oil, and/or isolated methyl salicylate are combined with an attractant matrix (pellets) and applied near a nest of leaf-cutting ants. These oils possess fungicidal and fungistatic properties that destroy and inhibit growth of the ant-cultivated fungus—the ant colony's sole food source—thereby promoting destruction of the colony. These oils are also highly attractive to the ants, exerting no repellent effects, encouraging transport of the fungicidal materials into the nest and ensuring that the fungal colonies come into contact with the materials and suffer mortality.