A Honeybee Swarm Trap to provide an inexpensive but sturdy bee box for keeping bees that is flexible in its application. To propagate beehives a beekeeper commonly uses a swarm catcher. These swarm catchers are placed near existing beehives, typically those naturally occurring, a swarm trap may be placed near the location of original beehive. Scout bees can visit the swarm trap and assess the trap for a swarm or propagated swarm to take up residence. Once the honeybee swarm take up residence in the swarm trap, the beekeeper can move the swarm to another location to house the honeybee colony.

The group of inventions relates to beekeeping. A method is proposed to prevent honey bees from escaping the hive by cooling the air near the entrance to a temperature below 14° C. An appliance to prevent bees from escaping the hive consists of placed directly near the hive entrance a Peltier thermoelectric module with radiators that due to connection to a source of electricity can cool the air near the entrance to temperatures below 14° C. The inventions can be used to prevent honey bees from escaping the hive by the chemical tillage of crops or transportation and can improve the temperature conditions for the existence of bee colonies.

The group of inventions relates to beekeeping. A method is proposed to prevent honey bees from escaping the hive by cooling the air near the entrance to a temperature below 14° C. An appliance to prevent bees from escaping the hive consists of placed directly near the hive entrance a Peltier thermoelectric module with radiators that due to connection to a source of electricity can cool the air near the entrance to temperatures below 14° C. The inventions can be used to prevent honey bees from escaping the hive by the chemical tillage of crops or transportation and can improve the temperature conditions for the existence of bee colonies.

A protective system is provided for insect living enclosures such as beehives. The protective system includes a listening subsystem and a spray subsystem. The spray subsystem is positionable to enable an agent to be dispensed from an outlet in a desired location relative to an entrance of the insect living enclosure. The listening subsystem is further operable to acoustically detect a threat about the entrance. Further, in response to detecting the threat, the listening subsystem is operable to control the spray subsystem to dispense the agent from the outlet.

A protective system is provided for insect living enclosures such as beehives. The protective system includes a listening subsystem and a spray subsystem. The spray subsystem is positionable to enable an agent to be dispensed from an outlet in a desired location relative to an entrance of the insect living enclosure. The listening subsystem is further operable to acoustically detect a threat about the entrance. Further, in response to detecting the threat, the listening subsystem is operable to control the spray subsystem to dispense the agent from the outlet.

In an aspect, a decision platform that optimizes honey value chain can be provided. The decision platform may receive images of a geographic region including catchment areas, run a first machine learning model with the images as input to identify resources in the catchment areas, run a second machine learning model with the identified resources to predict pollen and nectar concentration in the catchment areas, run a third machine learning model with at least the predicted pollen and nectar concentration to predict honey yield in each of the catchment areas, and determine placement of a swarm to at least one of the catchment areas. The decision platform may also control an unmanned aerial vehicle to guide the swarm to at least one of the catchment areas.

In an aspect, a decision platform that optimizes honey value chain can be provided. The decision platform may receive images of a geographic region including catchment areas, run a first machine learning model with the images as input to identify resources in the catchment areas, run a second machine learning model with the identified resources to predict pollen and nectar concentration in the catchment areas, run a third machine learning model with at least the predicted pollen and nectar concentration to predict honey yield in each of the catchment areas, and determine placement of a swarm to at least one of the catchment areas. The decision platform may also control an unmanned aerial vehicle to guide the swarm to at least one of the catchment areas.

Described herein are methods and systems for containing and releasing insects in a selective manner. An example system may include a container that defines and inner volume, the container open at one end, a lid, and a roosting panel. The lid includes a port defining a load-release pathway that interfaces with an insect sorting device and enables release of insects from within the container. The roosting panel may be coupled to the lid and extend into the inner volume when the lid is secured to the container. The roosting panel includes surface for insects to grasp onto within the inner volume.

A method of managing livestock includes selecting an area of interest (AOI) from among a plurality of AOIs as a target AOI, defining a route along which livestock is to be guided to the target AOI, guiding the livestock to the target AOI via the defined route using an unmanned aerial vehicle (UAV), identifying a stress condition of the livestock using the UAV, and reducing the stress condition of the livestock using the UAV. Identifying the stress condition includes identifying an animal not belonging to the livestock causing stress in at least one animal belonging to the livestock. Reducing the stress condition includes diverting the identified animal not belonging to the livestock away from the livestock by adjusting the distance of the UAV relative to the identified animal.

A method of managing livestock includes selecting an area of interest (AOI) from among a plurality of AOIs as a target AOI, defining a route along which livestock is to be guided to the target AOI, guiding the livestock to the target AOI via the defined route using an unmanned aerial vehicle (UAV), identifying a stress condition of the livestock using the UAV, and reducing the stress condition of the livestock using the UAV. Identifying the stress condition includes identifying an animal not belonging to the livestock causing stress in at least one animal belonging to the livestock. Reducing the stress condition includes diverting the identified animal not belonging to the livestock away from the livestock by adjusting the distance of the UAV relative to the identified animal.