The present invention relates to a device and a method for immobilizing and identifying pests. The present invention also relates to a device that can be filled with fluid to immobilize pests, means making sure that the level of the fluid in the device stays within defined limits.

A fiber optic distributed acoustic sensing (DAS) system for detecting a red palm weevil (RPW) includes an optical fiber configured to be wrapped around a tree and a DAS box connected to the optical fiber. The DAS box includes a processing unit that is configured to receive a filtered Rayleigh signal reflected by the optical fiber, and run the filtered Rayleigh signal through a neural network system to determine a presence of the RPW in the tree.

An animal trap system includes a glue board, an animal trap accelerometer sensor, and a signal unit in close proximity to and in communications with the animal trap accelerometer sensor, wherein the signal unit also contains an accelerometer sensor. The animal trap system is capable of detecting capture events, non-capture events, false positives, and/or the type of animal captured by using differential signal analysis and machine learning techniques. When an acceleration is received by the animal trap accelerometer sensor above a pre-set acceleration threshold value, it sends a capture signal to the signal unit and if the signal unit does not receive such acceleration event, the signal unit transmits a capture signal to an off-site receiver. A method of trapping one or more animals using this system is also provided.

Optical remote sensing systems for quantifying aerial or aquatic fauna with respect to number of living organisms, such as animals, such as insects, birds, bats or aquatic organisms, and to biological specificity.

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.

An apparatus for determining an index of insect biodiversity, comprising: a plurality of optical insect sensor devices configured to be individually positioned within a geographic area, each insect sensor device configured to: monitor insect activity within a detection volume extending outside the insect sensor device by detecting light from the detection volume, and to output detector data indicative of one or more optically detected attributes associated with respective detected insect detection events, each insect detection event being indicative of one or more insects being present in the detection volume; a data processing system communicatively coupled to the plurality of optical insect sensor devices and configured to: receive detector data from respective ones of the plurality of optical insect sensor devices, the detector data being indicative of one or more optically detected attributes associated with respective detected insect detection events, and to compute, from the received detector data, an index of insect biodiversity indicative of insect biodiversity within the geographic area.

The present disclosure relates to devices for controlling pests, and, more specifically, to devices for monitoring and communicating the presence of pests, and eliminating pests. The pest control system comprises a frame configured to be removeably positioned in a pest control station, a panel pivotally coupled to the frame, and pest control device positioned in the frame.

Improved devices for the capture, detection, or quantification of insect vectors such as gravid female insects, are provided. The devices include surface coloration, design, and dimension that improved their ability to attract and/or capture target insect vectors. The traps are used in process for detection or control of insect vectors in indoor and outdoor environments.

An insect light trap generally including a housing, a lamp for attracting insects mounted in the housing, a first space for receiving a first insect trap, and a second space contained in the housing. The second space has received therein a module including a second insect trap. The second insect trap includes an advanceable adhesive surface for trapping the insects and a motor to advance the adhesive surface.

A pest monitoring device is disclosed. The pest monitoring device includes a housing; an optical sensor configured to generate optical data related to an interior surface within the housing; and a processor in communication with the optical sensor. The processor is configured to receive optical data from the optical sensor; select optical data relating to at least one segment of the interior surface, the optical data relating to the at least one segment being arranged as a plurality of pixels. The processor is further configured to evaluate if the optical data corresponding to the least one segment meets a pre-determined condition associated with the interior surface by: counting the number of pixels of the plurality of pixels which indicate a light intensity below a pre-determined intensity value; and determining if the number of pixels having a light intensity below the pre-determined intensity limit is greater than or equal to a pre-determined pixel threshold value. The processor is further configured to determine, based on whether the optical data corresponding to the at least one segment meets the pre-determined condition associated with the interior surface, if there is an indication of a pest on the interior surface. A method of monitoring a pest trap is also disclosed.