The present disclosure describes a trap for catching or killing insects, and a method of attracting flying insects to an insect trap. The trap includes a back housing, an insect capture or killing mechanism, an insect attracting light source including light emitting diodes (LEDs) that emit ultra violet radiation, and a cover with openings that allow insects to enter the trap. The light source is directed immediately inwardly through plus or minor 45 degrees towards the insect capture or killing mechanism and is precluded from being directed immediately outwardly through the cover.

An integrated system for detecting a red palm weevil (RPW), farm fire, and soil moisture includes an optical fiber configured to be extending to a tree, and a distributed acoustic sensor (DAS) box connected to the optical fiber. The DAS box is configured to process first to third different optical signals reflected from the optical fiber, to determine a presence of the RPW from the first optical signal, a temperature at a location along the optical fiber from the second optical signals, and a moisture at a location around the tree from the third optical signal.

The present disclosure provides an intelligent replacement device and method for a trap board in a tea garden based on image channel computation. The device includes a trap board supply module, a trap board sticker removal module and a machine vision control module fixed on a machine frame, where the machine vision control module is configured to acquire an image of a present trap board in the trap board supply module, determine whether the present trap board fails according to the image, control, in response to failure of the present trap board, the trap board supply module to replace the trap board, and control the trap board sticker removal module to remove a film of a replaced trap board. The present disclosure can replace the trap board in the tea garden automatically, timely and accurately instead of the manual operation.

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.

An insect catching device may include at least two insect capture surfaces, a first surface including a first color, and a second surface including a second, lighter color relative to the first color of the first surface. The second color of the second surface may highlight the presence of insects captured thereon facilitating at least one of ease of counting and ease of identification of captured insects. The insect catching device may also include a line of weakening disposed between the first surface and the second surface. The line of weakening may include at least one perforation. The second surface may be detachable from the first surface along the line of weakening. The first color may be configured to decrease visibility of captured insects on the first surface observable by a viewer through an insect trap cover.

A discrete and safe automated insect monitoring system includes a housing, an interior chamber within the housing, and a light source arranged within the housing to illuminate at least a portion of a floor surface of the interior chamber. A multi-pixel optical sensor is arranged within the housing so that a field of view of the sensor comprehends a substantial portion of the floor surface. A processing circuit arranged within the housing receives optical data from the multi-pixel optical sensor, analyzes the optical data to detect the intrusion of an insect or other object into the interior chamber by comparing most recently received optical data to previously received optical data, and generates an indication in response to detecting the intrusion of an insect or other object. Detection and/or classification results can be wirelessly forwarded to another device, to alert appropriate personnel.

Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areas—for example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

A mosquito monitoring and counting system, including a sensor, the sensor including a high-speed computer vision camera, a detector, an antenna, a central processing unit, a counting sensor, and a GSM or WIFI module. The high-speed computer vision camera is installed in a trap diffuser, the counting sensor detects all insects that enter an air stream, and the central processing unit, based on artificial intelligence through neural networks, is adapted to process a data array, count and classify insects into species and subspecies, transmit the processed data array via the GSM or WIFI module over the Internet to a server, and further processing the data array and submitting a result to be graphically integrated with a mapping service.

A graded early warning system for pest quantity counting includes: at least one image capturing device used to capture images of at least one pest trapping device in an environment to generate at least one pest trapping image; at least one environment monitoring and sensing device used to detect the environment to generate at least one environment parameter; at least one pest detecting and identifying device used to detect quantities and species of multiple pests based on the at least one pest trapping image; and a cloud server used to receive the at least one pest trapping image, the at least one environment parameter, and the quantities and species of multiple pests; wherein the cloud server immediately establishes pest probability models, generates early warning signals, and prompts suppression decisions according to the at least one environment parameter and the quantities and species of multiple pests.

The present disclosure relates to a method and a device for replacing an insecticide component, and a storage medium. The method includes acquiring historical distribution information at a location of an insect exterminator device that includes comprising the insecticide component, wherein the historical distribution information includes a set of distribution densities of insects collected within a preset time period; determining a serviceable time period of the insecticide component of the insect exterminator device based on the distribution information of insects and a preset capacity for the insect exterminator device to deal with insects; acquiring a serving time period of the insecticide component; determining a remaining time period based on the serviceable time period and the serving time period; and generating prompt information for replacing the insecticide component when the remaining time period is less than or equal to a threshold time period.