Abstract: A method is provided for determining soil properties for an area of land, from soil spectrum data. In an embodiment, the method includes receiving soil spectrum data records from hyperspectral sensors that represent a mean soil spectrum of a specific geo-location of the area of land and removing interference signals from the spectrum data records to create soil spectral bands. The method also includes predicting a plurality of soil property datasets based on a partial least-square regression and the soil spectral bands and selecting specific soil property datasets from the plurality of soil property datasets to represent soil properties of the specific geo-location, wherein the specific soil property datasets include property data and spectral band data for spectral bands used to determine the property data. The specific soil property datasets may then be used to generate a crop prescription of recommended hybrid seeds or population densities for the specific geo-location.

Abstract: A method for building and using soil models that determine soil properties from soil spectrum data is provided. In an embodiment, building soil model may be accomplished using soil spectrum data received via hyperspectral sensors from a land unit. A processor updates the soil spectrum data by removing interference signals from the soil spectrum data. Multiple ground sampling locations within the land unit are then determined based on the updated soil spectrum data. Soil property data are obtained from ground sampling at the ground sampling locations. Soil models that correlate the updated soil spectrum data with the soil property data are created based on the updated soil spectrum data and the soil property data. The soil models are sent to a storage for future use.

Abstract: A method and a device for accessing a Vehicle-to-Everything (V2X) network, and a non-transitory computer-readable storage medium are disclosed, the method may include: acquiring a network code for identification; and in response to, a determination that the network code is not found in a V2X resource list, performing an adaptive configuration; and the adaptive configuration is determined based on historical V2X communication configuration information.

Abstract: A multi-core chip, system and method based thereon, and a storage medium are disclosed. The multi-core chip may include a first physical core configured to, and in response to receiving a system shutdown instruction, extract a minimum resource set, save the minimum resource set in a first built-in memory, and notify the main CPU to shut down the system; and in response to receiving a system startup instruction, copy the minimum resource set in the first built-in memory to the main memory, and transfer a system control privilege to the main CPU; the first built-in memory, configured to save the minimum resource set; and a power management chip, configured to provide an operating voltage for the system in a system startup state and provide the second voltage for the first physical core in the system shutdown state.

Abstract: A method for building and using soil models that determine soil properties from soil spectrum data is provided. In an embodiment, building soil model may be accomplished using soil spectrum data received via hyperspectral sensors from a land unit. A processor updates the soil spectrum data by removing interference signals from the soil spectrum data. Multiple ground sampling locations within the land unit are then determined based on the updated soil spectrum data. Soil property data are obtained from ground sampling at the ground sampling locations. Soil models that correlate the updated soil spectrum data with the soil property data are created based on the updated soil spectrum data and the soil property data. The soil models are sent to a storage for future use.

Abstract: A method for building and using soil models that determine soil properties from soil spectrum data is provided. In an embodiment, building soil model may be accomplished using soil spectrum data received via hyperspectral sensors from a land unit. A processor updates the soil spectrum data by removing interference signals from the soil spectrum data. Multiple ground sampling locations within the land unit are then determined based on the updated soil spectrum data. Soil property data are obtained from ground sampling at the ground sampling locations. Soil models that correlate the updated soil spectrum data with the soil property data are created based on the updated soil spectrum data and the soil property data. The soil models are sent to a storage for future use.

Abstract: A method for building and using soil models that determine soil properties from soil spectrum data is provided. In an embodiment, building soil model may be accomplished using soil spectrum data received via hyperspectral sensors from a land unit. A processor updates the soil spectrum data by removing interference signals from the soil spectrum data. Multiple ground sampling locations within the land unit are then determined based on the updated soil spectrum data. Soil property data are obtained from ground sampling at the ground sampling locations. Soil models that correlate the updated soil spectrum data with the soil property data are created based on the updated soil spectrum data and the soil property data. The soil models are sent to a storage for future use.

Abstract: A method for building and using soil models that determine soil properties from soil spectrum data is provided. In an embodiment, building soil model may be accomplished using soil spectrum data received via hyperspectral sensors from a land unit. A processor updates the soil spectrum data by removing interference signals from the soil spectrum data. Multiple ground sampling locations within the land unit are then determined based on the updated soil spectrum data. Soil property data are obtained from ground sampling at the ground sampling locations. Soil models that correlate the updated soil spectrum data with the soil property data are created based on the updated soil spectrum data and the soil property data. The soil models are sent to a storage for future use.

Abstract: A mobile platform structured and operable to perform: in-field phenotype and/or genotype data acquisition; image data acquisition; tissue sampling; selection and/or counting of plants growing in a plot; plant height measurement; product and treatment application to plants growing in the plot (e.g., prescriptive and localized insecticide products); sampling of soil where such plants are growing; removal of weeds in such plots; and real-time analysis of all such data and/or samples acquired/collected. Additionally, when combined with location positioning technology and path planning, such a vehicle is further structured and operable to re-enter a field numerous times throughout a season to accurately and repeatably monitor growing conditions, plant response or prescriptive application of a product.

Abstract: A method for building and using soil models that determine soil properties from soil spectrum data is provided. In an embodiment, building soil model may be accomplished using soil spectrum data received via hyperspectral sensors from a land unit. A processor updates the soil spectrum data by removing interference signals from the soil spectrum data. Multiple ground sampling locations within the land unit are then determined based on the updated soil spectrum data. Soil property data are obtained from ground sampling at the ground sampling locations. Soil models that correlate the updated soil spectrum data with the soil property data are created based on the updated soil spectrum data and the soil property data. The soil models are sent to a storage for future use.

Abstract: A method for estimating soil properties within a field using hyperspectral remotely sensed data is provided. In an embodiment, estimating soil properties may be accomplished using a server computer system that receives, via a network, soil spectrum data records that are used to predict soil properties for a specific geo-location. Within the server computer system a soil preprocessing module receives one or more soil spectrum data records that represent a mean soil spectrum of a specific geo-location of a specified area of land. The soil preprocessing module then removes interference signals from the soil spectrum data, creating a set of one or more spectral bands. By removing interference signals, the spectral bands are not erroneously skewed from effects such as baseline drift, particle deviation, and surface heterogeneity. A soil regression module inputs the one or more soil spectral bands and predicts soil property datasets.

Abstract: A method for acquiring a network service via frequency band information, applied to a terminal device, includes: establishing, by the terminal device, a channel connection; and generating final frequency band information of each system of the terminal device according to a model of the terminal device, a mobile country code (MCC) and a mobile network code (MNC) when determining that the final frequency band information of the terminal device is not generated.

Abstract: A mobile platform structured and operable to perform: in-field phenotype and/or genotype data acquisition; image data acquisition; tissue sampling; selection and/or counting of plants growing in a plot; plant height measurement; product and treatment application to plants growing in the plot (e.g., prescriptive and localized insecticide products); sampling of soil where such plants are growing; removal of weeds in such plots; and real-time analysis of all such data and/or samples acquired/collected. Additionally, when combined with location positioning technology and path planning, such a vehicle is further structured and operable to re-enter a field numerous times throughout a season to accurately and repeatably monitor growing conditions, plant response or prescriptive application of a product.

Abstract: Disclosed is a method for a mobile terminal to select a network, including: acquiring shared network configuration information set in advance and determining, according to the shared network configuration information, whether a home network of a local SIM card is a shared network; when the home network of the local SIM card is a shared network, then selecting, from all shared networks, an optimal shared network and implementing a registration operation of the optimal shared network. Further disclosed accordingly is a mobile terminal.

Abstract: A method for estimating soil properties within a field using hyperspectral remotely sensed data is provided. In an embodiment, estimating soil properties may be accomplished using a server computer system that receives, via a network, soil spectrum data records that are used to predict soil properties for a specific geo-location. Within the server computer system a soil preprocessing module receives one or more soil spectrum data records that represent a mean soil spectrum of a specific geo-location of a specified area of land. The soil preprocessing module then removes interference signals from the soil spectrum data, creating a set of one or more spectral bands. By removing interference signals, the spectral bands are not erroneously skewed from effects such as baseline drift, particle deviation, and surface heterogeneity. A soil regression module inputs the one or more soil spectral bands and predicts soil property datasets.

Abstract: In various embodiments, the present disclosure provides a method of generating crop biometric information in field conditions that includes scanning top surfaces of various plant crown structures of a plurality of plants in one or more rows of plants within a field to collect scan data of the crown structures. Additionally, the method includes converting the scan data into a high spatial resolution 3-dimensional field contour map that illustrates an aggregate 3-dimensional field contour of the scanned plants. The method further includes extracting, from the high spatial resolution 3-dimensional field contour map, biometric information relating to the plants in each of one or more selected rows of the scanned rows of plants.

Abstract: Disclosed is a method for a mobile terminal to select a network, including: acquiring shared network configuration information set in advance and determining, according to the shared network configuration information, whether a home network of a local SIM card is a shared network; when the home network of the local SIM card is a shared network, then selecting, from all shared networks, an optimal shared network and implementing a registration operation of the optimal shared network. Further disclosed accordingly is a mobile terminal.

Abstract: In various embodiments, the present disclosure provides a method of generating crop biometric information in field conditions that includes scanning top surfaces of various plant crown structures of a plurality of plants in one or more rows of plants within a field to collect scan data of the crown structures. Additionally, the method includes converting the scan data into a high spatial resolution 3-dimensional field contour map that illustrates an aggregate 3-dimensional field contour of the scanned plants. The method further includes extracting, from the high spatial resolution 3-dimensional field contour map, biometric information relating to the plants in each of one or more selected rows of the scanned rows of plants.