Abstract: An apparatus according to one embodiment includes a container having an interior, and a divider in the interior of the container. The divider selectively separates the interior into first and second compartments. The divider is configured to keep bees located in the first compartment separated from bees in the second compartment when in a closed configuration, and to allow the bees positioned in the first compartment to enter the second compartment when in an open configuration. The apparatus also includes an image capture device for capturing images of the bees in the interior of the container, and an outlet for permitting ingress and egress of the bees from the second compartment. The container is configured to prevent the bees from escaping from the first compartment.

Abstract: A cognitive hive architecture for determining and managing a hive health index of a hive. The cognitive hive architecture is executable by a processor in communication with a computing device or a computing environment. The cognitive hive architecture includes sensors embedded within the hive. The cognitive hive architecture acquires data from the sensors, which are monitoring real-time conditions of the hive. The data being representative of the real-time conditions. The cognitive hive architecture tags the data to physical identifications and positional identifications to produce tagged data. The cognitive hive architecture associates the tagged data to physical profiles and positional profiles and generates the hive health index based on the physical profiles and the positional profiles.

Abstract: Embodiments include method, systems, and computer program products for felling a tree. The method includes scanning, using a processor, a tree and an environment within a predetermined radius around the tree. The processor calculates an approximate center of gravity (CoG) for the tree in response to the scanning of the tree. The processor further receives a desired tree fall direction. The processor further provides attachment locations on the tree for attaching one or more tree felling assistance devices. The processor further instructs each of the one or more tree felling assistance devices to apply a first force to the tree in which the first force applied by each of the one or more tree felling assistance devices in conjunction with one or more cuts applied to the tree, fells the tree.

Abstract: A cognitive hive architecture for determining and managing a hive health index of a hive is provided. The cognitive hive architecture is executable by a processor in communication with a computing device or a computing environment. The cognitive hive architecture includes sensors embedded within the hive. The cognitive hive architecture acquires data from the sensors, which are monitoring real-time conditions of the hive. The data being representative of the real-time conditions. The cognitive hive architecture tags the data to physical identifications and positional identifications to produce tagged data. The cognitive hive architecture associates the tagged data to physical profiles and positional profiles and generates the hive health index based on the physical profiles and the positional profiles.

Abstract: Embodiments include method, systems, and computer program products for felling a tree. The method includes scanning, using a processor, a tree and an environment within a predetermined radius around the tree. The processor calculates an approximate center of gravity (CoG) for the tree in response to the scanning of the tree. The processor further receives a desired tree fall direction. The processor further provides attachment locations on the tree for attaching one or more tree felling assistance devices. The processor further instructs each of the one or more tree felling assistance devices to apply a first force to the tree in which the first force applied by each of the one or more tree felling assistance devices in conjunction with one or more cuts applied to the tree, fells the tree.

Abstract: An apparatus according to one embodiment includes a container having an interior, and a divider in the interior of the container. The divider selectively separates the interior into first and second compartments. The divider is configured to keep bees located in the first compartment separated from bees in the second compartment when in a closed configuration, and to allow the bees positioned in the first compartment to enter the second compartment when in an open configuration. The apparatus also includes an image capture device for capturing images of the bees in the interior of the container, and an outlet for permitting ingress and egress of the bees from the second compartment. The container is configured to prevent the bees from escaping from the first compartment.

Abstract: Embodiments include methods, systems, and computer program products for generating a designer nutrition supplement for insect transport is provided. Aspects include receiving a target location and target commercial activity for an insect. Aspects include determining an arrival time window for the target location. Aspects include receiving a base nutrition supplement formula for the insect. Aspects include determining a commercially-based nutrition modification to optimize the target commercial activity. Aspects include generating a designer nutrition supplement specification based at least in part upon the commercially-based nutrition modification.

Abstract: Embodiments include methods, systems, and computer program products for generating a designer nutrition supplement for insect transport is provided. Aspects include receiving a target location and target commercial activity for an insect. Aspects include determining an arrival time window for the target location. Aspects include receiving a base nutrition supplement formula for the insect. Aspects include determining a commercially-based nutrition modification to optimize the target commercial activity. Aspects include generating a designer nutrition supplement specification based at least in part upon the commercially-based nutrition modification.