A system for analyzing soil content of a field includes a data acquisition unit configured to detect gamma spectra of each of a plurality of soil samples, wherein a surface area of the field is divided into a plurality of portions and the plurality of soil samples comprises at least one soil sample from each of the plurality of portions, a navigation unit configured to detect geographic coordinates of each of the plurality of soil samples, a data analysis unit configured to associate the detected gamma spectra of each of the plurality of soil samples with the geographic coordinates of the soil sample and determine a weight percent of at least one element within each of the soil samples based on the detected gamma spectra, and an element content map unit configured to generate a map indicating concentration of the at least one element within the soil of the field.

A lid mounted water sampling system adapted to be fluidly coupled to a water line for obtaining water quality parameters corresponding to a sample of pressurized water from the water line and transmitting information associated with said water quality parameters to a remote location, the system comprising: a pit lid adapted to be positioned to cover a pit box such that during use an outer surface of the pit lid is substantially at ground level and adapted to be positioned upon the pit box located underground; the pit lid further comprising an in-use underside portion coupled to a water sampling apparatus, the water sampling apparatus adapted to be positioned in an internal volume defined by the pit box, the water sampling apparatus being fluidly coupled to the water line for obtaining water quality parameters corresponding to a sample of the pressurized water from the water line; and a data transmitter positioned adjacent said pit lid in electronic communication with the water sampling apparatus for transmitting the water quality parameters to the remote location.

Methods, systems, and apparatuses are disclosed for a tamper-resistant collection and retention a chemical sample. In one embodiment, the tamper-resistant system comprises a container operable to collect and retain a chemical sample, a tamper-resistant mechanism operable to disengage at a first chemical sample to allow for a collection of a chemical sample, wherein the tamper-resistant mechanism is operable to record one or more of: a date, a time, and a location, of the chemical sample during the collection of the chemical sample, and wherein the tamper-resistant mechanism is further operable to re-engage and lock after the collection of the chemical sample to resist subsequent chemical samples after the first chemical sampling.

Systems, devices, and methods for a gas sensor comprising one or more optical cells; a processor having addressable memory, the processor configured to: detect gas from the one or more optical cells of the gas sensor, where the detected gas is one or more of: methane, carbon dioxide, hydrogen sulfide, water, ammonia, sulfur oxides, and nitrogen; record data corresponding to the detected gas, where the recorded data comprises at least one of: an ambient temperature from a temperature sensor, an ambient pressure from a pressure sensor, an aerial vehicle telemetry, and an aerial vehicle location from a global positioning system (GPS); and generate a map of atmospheric greenhouse gas concentration on a map based on the detected gas and the recorded data.

The present invention includes an apparatus and method for detecting the location of one or more sources of one or more target molecule, the apparatus comprising: a molecule detector; and a processor connected to the molecule detector and to a global position system, wherein the processor calculates the presence of the one or more target molecules, runs a computer code that determines a dynamic reverse gas stack model for the one or more target molecules, and triangulates the possible position for a source or effluent of the one or more target molecules based on the dynamic reverse gas stack model. The determined reverse gas stack model may have a Gaussian dispersion over one or more sampled locations.

The present disclosure provides a system comprising a plurality of autonomous units within a geographical region, each configured with a sensor array and a cognitive emission and air pollutant mapping module that enables them to map their surrounding environment and sense and overlay pollutant and emissions data onto said map, including cameras and object detection algorithms for tracking and photographing pollutant sources. Each unit securely transmits the fused map and pollutant source data to one or more servers that compile a complete 3D map of the geographical area overlaid with pollution data which is updated in real time, and also notify relevant third parties to action pollutant sources within the area. The system can further comprise a plurality of smart light poles for displaying pollution data and advisory notices to citizens within sub-regions of the area.

A networked air quality monitoring system. Such a system could provide information beyond the user's local instrument on air quality over a much larger area. This information could be used by a user to make decisions about frequenting particular areas based on the results, or to alert them to changing conditions in the area so that the user might act before local conditions change.

Disclosed is a dynamic demonstration method for water-soluble ion concentration and components of an aerosol. The method comprises: obtaining concentration data of each ion in an atmospheric aerosol of a target city in a preset time period and filling the concentration data in a data table; obtaining vertex coordinates of each ion in a Maucha graph according to equivalent concentration data of each ion; drawing an aerosol ion Maucha graph of the target city in each preset time period according to the vertex coordinates; and finally making a dynamic picture according to a temporal graph of aerosol ion concentration in various time periods.

The invention relates to a method, a system and a computer program product for ascertaining a plant property of a useful plant in a field, wherein external data concerning the useful plant are stored in a memory unit, wherein a measurement device ascertains a raw measured value relating to at least one plant property, and wherein a calibrated or corrected value for the plant property is ascertained on the basis of the raw measured value taking account of the external data from the memory unit.

A system and method for intelligent soil sampling has for a novelty robotic system 100 that samples soil based on the generation of sampling points through advanced artificial intelligence algorithms. The robotic system 100 comprises a robotic platform 101 with sampling modules 103, 105 and 108, which communicates with a server 111, that consists a localization module 113 containing artificial intelligence algorithms based on satellite images from multiple spectral channels and/or images from high-resolution drone for a given parcel 301, generates zones and determines the coordinates of points as the best representatives of the zones to take place efficiently and quickly sampling the land. Intelligent sampling takes place through several steps where the sampling limits are defined, so a mask is placed on a given plot, after which a pixel matrix with vegetation indices is formed, which is then normalized and K-mean algorithm in different spatial resolutions is worked on with calculation of probability that each pixel 315, 316 belongs to one of the K zones, taking into account its environment with a different number of pixels, where each pixel 315, 316 is associated with changes in spatial resolutions 311, 312, 313, diagonally 314, associated with new values of affiliation probabilities and finally in step 317 a consensus is reached where the final zones are determined and the probability of affiliation of pixels 315, 316 to zones is estimated based on local histograms of matrix entities 311, 312 and 313.