A computer-implemented method for monitoring disease vectors is disclosed. A vector sensor obtains vector data relating to disease vectors in a monitored area. An environmental data obtaining component obtains environmental data relating to the monitored area. Based on at least one of the vector data and the environmental data, a population characteristic component may estimate or determine a vector population characteristic associated with the monitored area. A structural data obtaining component may obtain structural data relating to the monitored area. A vector travel estimation component may estimate or determine a vector travel characteristic. The vector characteristic may be indicative of predicted disease vector movement from outdoors to indoors in the monitored area and may allow for or facilitate a vector control action based at least partially on the vector travel characteristic. A device and a system for monitoring disease vectors are also disclosed.

Apparatuses, methods and systems provide technology to detect a pest-related fault or failure of an electronic control unit (ECU). The technology may also detect a presence of one or more pests via cameras, LiDAR sensors, RADAR sensors, motion sensors, one or more sound sensors, or one or more heat sensors. The technology may also provide countermeasures to disable, remove or eradicate the pests from the vehicle. The countermeasures may include one or more of a laser to target small pests, an electrical discharge insect control system to exterminate insects, and a vibration or sound emission system to target rodents.

An acoustic lethal ovitrap, comprising a tray defining an inner space and having a floor which slopes downwardly toward a center point, and also having a side wall defining a curved internal radius; a housing mounted within the tray; a transducer and power/control unit mounted within the housing for generating acoustic energy at a desired wavelength; a solar panel mounted on the housing and producing power for the transducer and power/control unit of the apparatus; wherein the tray captures water and attracts mosquitos to the water within the tray, and the transducer within the housing generates acoustic energy sufficient to kill mosquitos as they are attracted to the device.

An acoustic lethal ovitrap, comprising a tray defining an inner space and having a floor which slopes downwardly toward a center point, and also having a side wall defining a curved internal radius; a housing mounted within the tray; a transducer and power/control unit mounted within the housing for generating acoustic energy at a desired wavelength; a solar panel mounted on the housing and producing power for the transducer and power/control unit of the apparatus; wherein the tray captures water and attracts mosquitos to the water within the tray, and the transducer within the housing generates acoustic energy sufficient to kill mosquitos as they are attracted to the device.

A trap for immobilizing, killing, or containing arthropods comprises a housing having walls and at least one opening, where the walls define an interior space; and a light source comprising a directional light source mounted in the interior space. The light source is constructed to emit light at one or more wavelengths ranging from 350 to 500 nm. The light source is positioned so that a majority of the light emitted from the light source is directed at one or more surfaces in the interior space. The trap also comprises a suppression element mounted in the interior space and constructed to immobilize, kill, or contain arthropods.

One embodiment provides a system, including: a first end that screws into a light bulb socket; an internal light source; an electric insect control mechanism disposed around and proximate to the internal light source; and a visible light source disposed at an opposite end with respect to the first end. Other embodiments are described and claimed.

Systems and methods are provided for locating an insect in a space and for indicating to a user the location of the insect and/or for eliminating the insect. The system includes a camera to obtain an image of the space and a processor to detect an object by comparing at least two images of the space and determine that the object is an insect based on a characteristic of the object in an image of the space. In some embodiments an independently mobile device may be controlled to eliminate the insect at the location of the insect in the space.

An apparatus is for injuring or killing undesired organisms in water in a channel. The apparatus has an insert which is arranged to be releasably attached to the channel on the inside of the channel, a plurality of electrodes that are attached to the insert, the insert being formed from an electrically insulating material and the plurality of electrodes being connected to a power-supply unit. A method for using the apparatus in the channel is described as well.

An apparatus is for injuring or killing undesired organisms in water in a channel. The apparatus has an insert which is arranged to be releasably attached to the channel on the inside of the channel, a plurality of electrodes that are attached to the insert, the insert being formed from an electrically insulating material and the plurality of electrodes being connected to a power-supply unit. A method for using the apparatus in the channel is described as well.

An Internet-of-Things-based crop growth monitoring device includes a plurality of monitoring mechanisms. Each monitoring mechanism includes a base and a support rod fixed on the base. The support rod is provided with an electric element installation casing formed by snap-fitting an upper conical cover and a lower conical cover. A component for driving a swing cantilever to rotate is provided on the support rod at a position near a lowermost surface of the upper conical cover. A plurality of distance measuring laser sensors are provided on the swing cantilever. A component for driving an ultra-high-definition camera to rotate is provided on the support rod at the section of the upper conical cover. The images captured by the ultra-high-definition camera is used to obtain the leaf growth situation of the crops, and the data collected by the distance measuring laser sensors is used to determine the plant height of the crops.