Systems, devices, and methods for an unmanned aerial vehicle (UAV); a trace gas sensor disposed on the UAV, where the gas sensor is configured to measure a gas point concentration; a wind sensor, where the wind sensor is configured to determine a discrete wind vector corresponding to the gas point concentration measurement; and where the discrete wind vector and gas point concentration measurement are acquired substantially concurrently and co-locally.

Systems, devices, and methods for an unmanned aerial vehicle (UAV); a trace gas sensor disposed on the UAV, where the gas sensor is configured to measure a gas point concentration; a wind sensor, where the wind sensor is configured to determine a discrete wind vector corresponding to the gas point concentration measurement; and where the discrete wind vector and gas point concentration measurement are acquired substantially concurrently and co-locally.

Disclosed are methods and systems for detecting and predicting events of increased seismic activity (i.e. earthquake activity). The methods include providing data catalogs, constructing magnitude versus time coordinate graphs, identifying energy levels of the graphs, and identifying further the obliquity angles of maximum and minimum energy levels and average increments between minimum and maximum energy levels. The methods also comprise constructing time arrows using the identified information, identifying energy centers via the time arrows, and analyzing variability throughout the seismic structure to predict a future event. Also disclosed are methods for predicting events based on attenuation wedge and energy parallelogram analysis.

Disclosed are methods and systems for detecting and predicting events of increased seismic activity (i.e. earthquake activity). The methods include providing data catalogs, constructing magnitude versus time coordinate graphs, identifying energy levels of the graphs, and identifying further the obliquity angles of maximum and minimum energy levels and average increments between minimum and maximum energy levels. The methods also comprise constructing time arrows using the identified information, identifying energy centers via the time arrows, and analyzing variability throughout the seismic structure to predict a future event. Also disclosed are methods for predicting events based on attenuation wedge and energy parallelogram analysis.

A local productivity prediction and management system including a weather monitoring device and a productivity prediction device. The weather monitoring device 10 including at least one of the following sensors adapted to take weather measurements of local weather conditions. The sensors include a temperature sensor 12, a humidity sensor 13, a rainfall sensor 14 and a sunlight and/or ultraviolet light sensor 15. Wherein, the productivity prediction device is adapted to over time collect local actual livestock production values. The productivity prediction device is also adapted to apply a productivity prediction model which uses one or more correlating patterns between weather measurements and actual livestock production values, whether either are local and/or offsite to provide a set of one or more predicted livestock production values. The productivity prediction device is also adapted to manage a logistical function of livestock product collection and transport with regard to capacity and timing in response to the predicted livestock production value.

A local productivity prediction and management system including a weather monitoring device and a productivity prediction device. The weather monitoring device 10 including at least one of the following sensors adapted to take weather measurements of local weather conditions. The sensors include a temperature sensor 12, a humidity sensor 13, a rainfall sensor 14 and a sunlight and/or ultraviolet light sensor 15. Wherein, the productivity prediction device is adapted to over time collect local actual livestock production values. The productivity prediction device is also adapted to apply a productivity prediction model which uses one or more correlating patterns between weather measurements and actual livestock production values, whether either are local and/or offsite to provide a set of one or more predicted livestock production values. The productivity prediction device is also adapted to manage a logistical function of livestock product collection and transport with regard to capacity and timing in response to the predicted livestock production value.

Devices and systems for determining personal outdoor comfort are described herein. One device includes instructions executable to receive inputs corresponding to characteristics of a user associated with a mobile device, determine a location of the mobile device, communicate an indication of the characteristics and the determined location to a computing device, and receive an outdoor comfort determination from the computing device, wherein the outdoor comfort determination is particular to the user based on the characteristics of the user and particular to the location of the mobile device based on a plurality of environmental parameters associated with the location of the mobile device.

Devices and systems for determining personal outdoor comfort are described herein. One device includes instructions executable to receive inputs corresponding to characteristics of a user associated with a mobile device, determine a location of the mobile device, communicate an indication of the characteristics and the determined location to a computing device, and receive an outdoor comfort determination from the computing device, wherein the outdoor comfort determination is particular to the user based on the characteristics of the user and particular to the location of the mobile device based on a plurality of environmental parameters associated with the location of the mobile device.

A monitoring device for agricultural use comprising a housing adapted to accommodate at least a solar radiation sensor positioned in the top portion of the housing, the housing comprising an aperture at the top end adapted to allow the solar radiation sensor to be exposed through the aperture. The housing is attached to a hanger located at the same level or below the top end of the housing and adapted to hang the housing on a hanging element such as a cable. The housing may further comprises a leveling component for leveling the solar radiation sensor or the entire monitoring device. The monitoring device optionally comprises a shading sleeve compatible with passing the hanging element through the monitoring device.

A monitoring device for agricultural use comprising a housing adapted to accommodate at least a solar radiation sensor positioned in the top portion of the housing, the housing comprising an aperture at the top end adapted to allow the solar radiation sensor to be exposed through the aperture. The housing is attached to a hanger located at the same level or below the top end of the housing and adapted to hang the housing on a hanging element such as a cable. The housing may further comprises a leveling component for leveling the solar radiation sensor or the entire monitoring device. The monitoring device optionally comprises a shading sleeve compatible with passing the hanging element through the monitoring device.