Patent classifications
A01M1/10
Fruit fly trap
The invention discloses a fruit fly trap comprising a flowerpot, a cover plate and flypaper, wherein the cover plate is provided with a plurality of inlets for allowing the fruit fly to enter the interior of the flowerpot, each inlet respectively extends towards a bottom direction of the flowerpot to form a lengthened inlet pipe, and the flypaper is mounted on the cover plate by a bracket. According to the invention, the fruit fly can be attracted into the interior of the flowerpot, the lengthened inlet pipe makes the fruit fly difficult to escape until death, the flypaper can stick the flying fruit fly, and the fruit fly can be effectively attracted and killed.
DELIVERY SYSTEM EMBEDDED TRAP DEVICE FOR ATTRACTING FEMALE AND MALE FRUIT FLIES
A Delivery System Embedded Trap Device for Attracting Female and Male Fruit Flies is disclosed in the present invention which can attract both female and male of fruit flies for an extended period of 180 days irrespective of the season thereby effectively controlling the major pest in agriculture.
SYSTEMS, METHODS AND COMPOSITIONS FOR EFFECTIVE INSECT POPULATION SUPPRESSION
Provided herein are compositions, systems, and methods for suppressing a population of insects such as flies. Some embodiments relate to compositions comprising a fermented biomass, a dye and a particulate matter. Some embodiments relate to systems and methods for use of the compositions described herein. The compositions are biodegradable, non-toxic, and environmentally friendly.
Insect Trap Device
An insect trap device efficiently catches and traps insects. The device includes a connector coupled to a housing such that the housing is configured for being coupled to a surface. A rod is coupled to and extends from the housing to be parallel to the surface. A motor is positioned in the housing and coupled to the rod to move the rod between a raised position and a lowered position. A motion sensor is positioned on the housing adjacent to the rod wherein the motion sensor is configured for detecting an insect within a range of movement of the rod. The motion sensor triggers the motor to move the rod when the motion sensor detects the insect. An adhesive is exposed on a surface of the rod wherein the adhesive is configured for adhering the insect to the rod when the rod contacts the insect.
Manage and control pests infestation using machine learning in conjunction with automated devices
Embodiments of the present invention provides a systems and methods for pest control. The system detects one or more pests based on receiving sensor data from one or more sensors associated with a predefined location. The system analyzes the sensor data with cognitive machine learning based on the detected pests. The system generates a treatment recommendation report based on the analysis and outputs the treatment recommendation report.
Systems and methods for dynamic release planning for insect release
One example method includes receiving information indicating a population of wild insects within a geographic region; determining a number of wild insects per unit area within the geographic region; placing, based on the number of wild insects per unit area, one or more insect release points based on the number of wild insects per unit area, each insect release point indicating a release of a predefined quantity of insects; and generating an insect release route through the geographic region, the insect release route passing through each insect release point.
TRAPPING METHOD, LIGHT SOURCE DEVICE, AND TRAPPING DEVICE FOR ADULT MOTHS BELONGING TO INDOOR PHYCITINAE SUBFAMILY
A light source device for trapping indoor adult Phycitinae, which is an adult moth belonging to subfamily Phycitinae, is configured to: emit an attracting light at a predetermined photon flux density; and form a guide path by the attracting light to guide the adult Phycitinae to a vicinity of an emission end of the attracting light in a region having a photon flux density lower than the predetermined photon flux density on a side lower than a height of the emission end of the attracting light
Insect trap lid for disposable cups and drinking cans
A lid releasably connects to the rim of a container, such as a soda can or a disposable cup, and functions with the container as an effective insect trap. In operation, the lid is attached to the top of the container with a funnel positioned over and extending towards the topside of the container such that an insect attracted to sugars within the can may crawl or fly from the surrounding space into the funnel and enter the container through the bottom of the funnel and thereby become trapped in the container. The sidewall of the lid can have multiple tiers that fit different sized cans or cups or can have a single tier. Regardless of the number of tiers in the sidewall, the sidewall's riser portion that fits over the container's rim is vertical and its interior surface does not have any concavity so no water-tight seal is formed.
DEVICE FOR INTERCEPTING CRAWLING INSECTS, AND FURNITURE AND BED PROVIDED WITH SUCH A DEVICE
A device for intercepting crawling insects includes at least one body. The body includes a base for resting against a piece of furniture and having a hole at its center; a first skirt extending from the base so as to form a circumferentially closed side wall; a second skirt surrounding the first skirt externally so that an outer periphery of the side wall faces an inner periphery of the second skirt; and at least one sticky strip arranged on the outer periphery of the side wall or on the inner periphery of the second skirt.
INSECT MONITORING SYSTEM AND METHOD
An insect monitoring system (ISM) and related e-commerce system are provided. The ISM includes an insect attracting light, an intake, an exhaust, an airflow conduit between intake and exhaust, an insect collecting mesh in the conduit, a fan for generating airflow in the airflow conduit, and one or more cameras pointed on the insect collecting mesh. The insect attracting light and the fan are activated such that insects are drawn into the intake and trapped against the insect collecting mesh. The images of the insect collecting mesh are processed and analyzed using a machine learning algorithm to recognize a type and number of insects. Recommendations are provided based on the analysis. In some aspects, the insect monitoring system is connected to electronic client devices over a communication network. The electronic devices are provided with an e-commerce application for sale of products and services responsive to the recommendations.