A method and system for preparing a distribution program for insects comprises obtaining distribution data of a wild population of insects; obtaining distribution parameters including distribution resolution levels of at least one available distribution vehicle; generating a population density map at a resolution level consistent with the distribution resolution level of the vehicle; generating a release map by modifying the population density map in accordance with the distribution parameters; and generating a path using the release map, the path defining dosages of insects to be released at respective locations along the path.

One variation of a method includes: accessing an image of sensor plants sown in crops of a crop type within a geographic region and configured to signal presence of a stressor; interpreting a first pressure of the stressor within a first subregion based on a first subset of features extracted from the image; interpreting a second pressure of the stressor in a second subregion based on a second subset of features extracted from the image; based on the first pressure and the second pressure, deriving a pressure map representing pressures of the stressor within the geographic region; accessing a yield model linking pressures of the stressor and crop yield for crops of the crop type in the geographic region; and predicting a crop yield for crops of the crop type in the geographic region based on the pressure map and the yield model.

A device, system, and method of controlling pests are disclosed. A pest control device includes a sensor having a sensor cell and a controller. A surface of the sensor cell is coated with an agent that reacts with a targeted biochemical analyte secreted by pests. The controller is coupled to the sensor and is configured to receive sensor data from the sensor cell indicative of a rate of change in sensor mass detected on the surface of the sensor cell, determine whether the rate of change in the sensor mass based on the received sensor data exceeds a predefined threshold rate, and transmit a pest detection alert notification to a server in response to a determination that the rate of change exceeds the predetermined threshold rate.

A luring insect trap, including a light unit, a trap unit removably connected to at least a portion of the light unit to store at least one insect attractant therein and receive at least one insect therein, at least one light rod removably connected to at least a portion of the light unit to illuminate in response to being turned on, and a cover panel removably connected to at least a portion of the light unit to obscure the at least one light rod.

A luring insect trap, including a light unit, a trap unit removably connected to at least a portion of the light unit to store at least one insect attractant therein and receive at least one insect therein, at least one light rod removably connected to at least a portion of the light unit to illuminate in response to being turned on, and a cover panel removably connected to at least a portion of the light unit to obscure the at least one light rod.

Various embodiments include systems and methods of arthropod detection using an electronic arthropod detection device. The electronic arthropod detection device may scan a surface or a subject using one or both of a hyperspectral image sensor or a multispectral image sensor that is sensitive to multiple bands of electromagnetic radiation to detect the presence or likely presence of an arthropod in a region of interest (ROI). A camera sensitive to a visible band of electromagnetic radiation may be used to capture at least one image and provides the image(s) to an object detection model in response to determining that an arthropod is or is likely present in the ROI. Hyperspectral and/or multispectral images may be provided to the object detection model alone or in combination with visible light image(s). A processor may initiate an arthropod detected procedure in response to detecting an arthropod in the ROI.

One variation of a method for interpreting pressures in plants includes: accessing a first image of a first set of sentinel plants in a field; accessing a second image of a second set of sentinel plants in the field, recorded during a first period; interpreting a first pressure of a stressor in the first set based on features extracted from the first image, captured during the first period; interpreting a second pressure in the second set based on features extracted from the second image; deriving a model associating pressure at the first set and pressure at the second set based on the first pressure and the second pressure; interpreting a third pressure in the first set based on features extracted from a third image captured during a second period; and predicting a fourth pressure in the second set during the second period based on the third pressure and the model.

Method and apparatus for a pest control device mounting system configured for mounting pest control devices in a building and using them to control pests. The pest control device mounting system including a mounting bracket, which may have a circumferential portion defining a portal. In some examples, the mounting bracket includes a flange portion suitable for attaching to the perimeter of a cavity in a building surface. The pest control device mounting system including a plug configured to be removably attached to the mounting bracket and to substantially close the portal when attached to the mounting bracket, wherein the plug is configured to accommodate a pest control device.

A monitoring trap and classification system may help pest control professionals, landlords, and homeowners identify, monitor, and manage insects. The trap may have an adhesive area that traps an insect, as well as several features that assist in identifying the insect. A classification system may use a picture or image of the trap to extract the trap's identifier, orient and adjust the image to standardize the image's color and scale, and have the insect identified. The trap and classification system may be used by individual homeowners, tenants, landlords, farmers, and pest professionals to capture, identify, and manage insects. The classification system may reduce the complexity of counting and classifying trapped insects, and it may generate a history through a series of reminders and keeping a database of previous observations.

A pest control device comprising a capacitive sensor array including a plurality of sensor pads, the capacitive sensor array being configured to generate an electrical output signal indicating the state of each sensor pad, and an electronic controller electrically connected to the capacitive sensor array, the electronic controller including a processor and a memory including a plurality of instructions, which, when executed by the processor, causes the processor to: receive the electrical output signals from the capacitive sensor array, determine a measured capacitance value for each sensor pad based on each electrical output signal, calculate a baseline for each sensor pad based on the measured capacitance value of the sensor pad, determine whether a difference between the measured capacitance value of at least one sensor pad and its corresponding baseline exceeds a first predetermined threshold, update a counter when the first predetermined threshold is exceeded, and record an event indicative of a presence of a pest when the counter exceeds a predetermined limit.