An apparatus for concentrating then killing mosquito larvae, comprising: a mosquito larvae trap for containing a stagnant, stationary pool of water; and an electrical connection for enabling a power source attached to the electrical connection, to introduce an electrical current into the stagnant, stationary pool of water, with a voltage sufficient to electrocute mosquito larvae in the stagnant, stationary pool of water.

Systems and methods for generating and displaying heat maps are provided. A heat map generation computing device includes a memory and a processor. The processor is programmed to receive trap data for a plurality of pest traps in a geographic location, the trap data including current and historical pest pressure values at each of the plurality of pest traps, receive weather data for the geographic location, receive image data for the geographic location, apply a machine learning algorithm to generate predicted future pest pressure values at each of the plurality of pest traps, generate a first heat map for a first point in time and a second heat map for a second point in time, and transmit the first and second heat maps to a mobile computing device to cause a user interface on the mobile computing device to display a time lapse heat map.

The current subject matter relates to controlling insects and includes a trap that can vary operation based at least on a target insect. For example, different insects are attracted to and/or repelled by different things, such as gases, orders, lights, and sounds. In general, things that attract a given insect are referred to as attractants and things that repel a given insect are referred to as repellents. By varying the operation of the trap, different attractants and repellants can be used to attract and/or repel specific insects. In addition, these attractants and repellants and/or characteristics thereof can these be varied dynamically based on, for example, time of day, proximity of individuals to the trap, proximity of insects to the trap, geographic location, and the like. Related apparatus, system, articles, and techniques are also described.

Techniques for analyzing images of pests using a mobile device application are described. A mobile computing device may receive, via a graphical user interface (GUI), location information input corresponding to a location of a glueboard, an identification input of a pest type caught on the glueboard, and an image of the glueboard. The device may analyze white and dark areas of the image to determine at least one of: 1) total dark surface area of the glueboard and 2) number and size of multiple contiguous dark surface areas of the glueboard. The device may calculate a quantity of pests based on dark surface area and an average size of the pest. The device may output the quantity of pests to the GUI.

A system and method are provided to control the amplification of natural frequencies emanating from molecules, specifically insect sex pheromones. The pheromone molecules are deposited in a resonant cavity that allows the generation of coherent and/or semi-coherent radiation. The molecular emissions are amplified in the resonant cavity and allowed to escape through a small circular opening on top of the resonant cavity. The molecules and/or their emissions dissipate into the surroundings to attract insects towards the cavity. When the insect enters the resonant cavity, a trap door prevents the insect from exiting. The molecular emissions are produced by passive diffusion and passive amplification because no pumping radiation source is required. However pumping radiation can be integrated to assist the passive amplification or serve as a second attractant.

A system and method are provided to control the amplification of natural frequencies emanating from molecules, specifically insect sex pheromones. The pheromone molecules are deposited in a resonant cavity that allows the generation of coherent and/or semi-coherent radiation. The molecular emissions are amplified in the resonant cavity and allowed to escape through a small circular opening on top of the resonant cavity. The molecules and/or their emissions dissipate into the surroundings to attract insects towards the cavity. When the insect enters the resonant cavity, a trap door prevents the insect from exiting. The molecular emissions are produced by passive diffusion and passive amplification because no pumping radiation source is required. However pumping radiation can be integrated to assist the passive amplification or serve as a second attractant.

Composite materials that are palatable to a wood-destroying pest species and also pesticidal to the pest species can be used in pest control devices and can be used as wood substitutes for structural components, which are resistant to destruction by wood-destroying pests. The composite materials include a thermoplastic polymer, a food material for the pest and a pesticide. The composite material is formed by mixing a thermoplastic polymer, wood fragments or other cellulosic materials and a quantity of pesticide, and thereafter creating a molten material within a mixer, compounder, extruder or the like. The molten material is extruded or molded to form the desired shape.

Composite materials that are palatable to a wood-destroying pest species and also pesticidal to the pest species can be used in pest control devices and can be used as wood substitutes for structural components, which are resistant to destruction by wood-destroying pests. The composite materials include a thermoplastic polymer, a food material for the pest and a pesticide. The composite material is formed by mixing a thermoplastic polymer, wood fragments or other cellulosic materials and a quantity of pesticide, and thereafter creating a molten material within a mixer, compounder, extruder or the like. The molten material is extruded or molded to form the desired shape.

Techniques for remote detection of insect infestation are described. In a first aspect, an aerial platform operates above trees and captures imagery of the trees suitable for detecting indicators of insect infestation. In a second aspect, imagery of trees captured by an aerial platform operated above the trees is analyzed to detect indicators of insect infestation. In a third aspect, the capturing of imagery of the trees is performed by a camera that dynamically adjusts the point of focus relative to the ground and/or top of the trees. In particular embodiments, the imagery is oblique imagery. In selected embodiments, the capturing of imagery comprises down-sampling or discarding portions of the imagery. In portions of some embodiments, the detection employs machine-learning techniques, such as convolved neural nets.

An insect trapping light is shown having a visible light housing, an electronic display screen, and an insect trapping housing. The display screen may be a television screen, picture display screen, movie display screen, computer monitor or display, or the like. The insect trapping housing has a bottom space configured to removably receive an insect bait tray that may be filled with an insect baiting substance to attract insects. The insect trapping housing and the visible light housing combine to form a UV light space or chamber therebetween. An adhesive board is slidably received and held in place upon the visible light housing surface facing the UV light chamber. The spacing between the insect trapping housing and the visible light housing defines the UV light chamber having open sides The UV light chamber also includes a matrix or array of UV lights or light sources.