A computer intelligent imaging-based system for automatic pest identification and pest-catching monitoring, including a pest-catching device, an imaging lens, an imaging control module, a power supply device, a data transmission module, a cloud data server, a pest identification module, a terminal control module and a data display module; the invention records the pest conditions and transmits the data to the cloud data server and the data display module, and further transmits the data to the terminal control module and the pest identification module to realize analysis, identification and remote monitoring of the species and quantity of the pests. It only takes only 6 minutes for 1 person to finish the works for 100 pest-catching devices and get through the steps of filing records and analyzing pests. Compared with the prior art, it saves 1 day of working time and significantly reduces the costs for maintenance and consumables.

A computer intelligent imaging-based system for automatic pest identification and pest-catching monitoring, including a pest-catching device, an imaging lens, an imaging control module, a power supply device, a data transmission module, a cloud data server, a pest identification module, a terminal control module and a data display module; the invention records the pest conditions and transmits the data to the cloud data server and the data display module, and further transmits the data to the terminal control module and the pest identification module to realize analysis, identification and remote monitoring of the species and quantity of the pests. It only takes only 6 minutes for 1 person to finish the works for 100 pest-catching devices and get through the steps of filing records and analyzing pests. Compared with the prior art, it saves 1 day of working time and significantly reduces the costs for maintenance and consumables.

An apparatus for indoor pollination, an indoor pollination system and a method for indoor pollination. The apparatus for indoor pollination includes a first ultraviolet (UV) light source configured to emit pollination enhancing light, an arthropod trap, and a second UV light source housed in the arthropod trap and configured to emit arthropod attracting light. A microprocessor is configured to switch on or off the first and second UV light sources depending on pollination requirements.

The disclosure discloses a viscous outdoor mosquito killing lamp including a lamp body which includes a housing within which a lighting lamp is disposed; wherein the housing is provided with a trapping chamber, a sidewall of the trapping chamber is provided with a first through hole for flying insects to pass through; a trapping plate is detachably connected to the sidewall of the trapping chamber, and a viscous sticker is attached onto the trapping plate. The outdoor mosquito killing lamp is safe and environmentally friendly, and is more convenient to be cleaned up.

The invention applies to an insect trap with a planar or curved, light-colored outflow surface for generating a weak airflow emanating from the outflow surface, with a device for holding, trapping, and/or killing the attracted insects, wherein at least one dark contrast spot is formed on the outflow surface. According to the invention, at least one device for increasing the attraction effect of the insect trap is arranged on the light-colored outflow surface, which device has a dark, sharp, in particular straight edge and/or corner and/or a dark, planar surface arranged at least largely vertically on the outflow surface.

The invention applies to an insect trap with a planar or curved, light-colored outflow surface for generating a weak airflow emanating from the outflow surface, with a device for holding, trapping, and/or killing the attracted insects, wherein at least one dark contrast spot is formed on the outflow surface. According to the invention, at least one device for increasing the attraction effect of the insect trap is arranged on the light-colored outflow surface, which device has a dark, sharp, in particular straight edge and/or corner and/or a dark, planar surface arranged at least largely vertically on the outflow surface.

An insect collection system comprises a collection unit configured to collect an insect, an airflow generator configured to create airflow through the collection unit, and a power source configured to power the airflow generator. The insect trapping system is configured so that the airflow travels through the collection unit before traveling through the airflow generator. The collection unit comprises an input opening configured to allow air and the insect to enter the collection unit and an output opening. The output opening is configured to allow air to exit the collection unit while preventing the insect from exiting the collection unit. The insect collection system also includes an airflow modifier configured to modify how air flows through the collection unit, thereby creating a first airflow rate in a first portion of the collection unit and a second airflow rate in a second portion of the collection unit.

An insect collection system comprises a collection unit configured to collect an insect, an airflow generator configured to create airflow through the collection unit, and a power source configured to power the airflow generator. The insect trapping system is configured so that the airflow travels through the collection unit before traveling through the airflow generator. The collection unit comprises an input opening configured to allow air and the insect to enter the collection unit and an output opening. The output opening is configured to allow air to exit the collection unit while preventing the insect from exiting the collection unit. The insect collection system also includes an airflow modifier configured to modify how air flows through the collection unit, thereby creating a first airflow rate in a first portion of the collection unit and a second airflow rate in a second portion of the collection unit.

An intelligent Forcipomyia taiwana monitoring and management system comprises: a catching mechanism grabbing a to-be-identified target; a database storing a datum comprising pictures of a flying insect category; a model training module using the pictures to establish a training model; an image capture module shooting an image including the target; an identifying module selecting a first segmented region including the target by using YOLO detection framework technology, extracting a first identification feature from the target, and inputting the feature into the training model for deep learning to identify a flying insect category to which the target belongs and produce an identification result; a counting module recording a number of the target into the database; and a predictive tracking module obtaining a marked object based on the result marked with the target identified in the image, and using a Monte-Carlo category algorithm to track and predict the object.

An intelligent Forcipomyia taiwana monitoring and management system comprises: a catching mechanism grabbing a to-be-identified target; a database storing a datum comprising pictures of a flying insect category; a model training module using the pictures to establish a training model; an image capture module shooting an image including the target; an identifying module selecting a first segmented region including the target by using YOLO detection framework technology, extracting a first identification feature from the target, and inputting the feature into the training model for deep learning to identify a flying insect category to which the target belongs and produce an identification result; a counting module recording a number of the target into the database; and a predictive tracking module obtaining a marked object based on the result marked with the target identified in the image, and using a Monte-Carlo category algorithm to track and predict the object.