Abstract: A field management apparatus 10 is provided with a learning model generation unit 11 that generates a learning model 15, to learn feature amounts of the image of the phenomenon that results from the fault in the field equipment, an image acquisition unit 12 that acquires an aerial image of a target region, an image specification unit 13 that applies the aerial image to the learning model 15, and specifies an image of the phenomenon that results from the fault in the field equipment in the aerial image, and a fault location specification unit 14 that specifies a fault location of the field equipment in the target region, based on the image of the phenomenon that results from the fault in the field equipment.

Abstract: A plant monitoring apparatus 100 includes: a soil state estimation unit 200 that estimates a state of soil by, with use of frequency association information calculated based on vibration measured via the soil, referencing soil state estimation information in which the frequency association information and information indicating states of the soil are associated with soil states; and a plant state estimation unit 300 that estimates a state of a plant by, with use of growth association information that was calculated based on vibration of the plant and indicates growth of the plant, referencing plant state estimation information in which the growth association information and information indicating states of the plant above a plant soil surface are associated with plant states above the plant soil surface.

Abstract: A plant monitoring apparatus 1 includes: an extraction unit 2 that extracts a feature amount in a frequency response of vibration of a target plant with use of the vibration; a calculation unit 3 that calculates a change that indicates growth of the plant, based on the extracted feature amount and a reference feature amount that corresponds to a reference state of the plant; and an estimation unit 4 that estimates a state of the plant by, with use of the calculated change, referencing state information in which changes of the feature amount from the reference feature amount corresponding to growth of the plant are associated with states of the plant.

Abstract: A vegetation index calculation apparatus (10) is provided with a learning model generation unit (11) that generates a learning model, by using an image of a crop targeted for calculation of a vegetation index and an image of plants other than the crop to learn a feature amount of the image of the crop, an image acquisition unit (12) that acquires an aerial image of a target region where the crop is being grown, a specification unit (13) that applies the aerial image acquired by the image acquisition unit (12) to the learning model generated by the learning model generation unit (11), and specifies the image of the crop in the aerial image acquired by the image acquisition unit (12), and a vegetation index calculation unit (14) that calculates the vegetation index of the crop, using the image of the crop specified by the specification unit (13).

Abstract: A vegetation index calculation apparatus (10) is provided with a specification unit (11) that collates height distribution data indicating a distribution of the height of plants that exist in a target region with predicted height data of a crop targeted for calculation of a vegetation index, and specifies a region where the crop exists within the target region, and a vegetation index calculation unit (12) that calculates the vegetation index of the crop that exists in the region specified by the specification unit (11).

Abstract: Provided are a soil estimation device, a soil estimation method and a program that are capable of improving the accuracy of estimation of a state in soil without increasing the number of sensors that detect the state in the soil. The soil estimation device 100 is provided with an estimated model generation unit 10. The estimated model generation unit 10 generates an estimated model based on at least one among geographical information that specifies a geographical feature of a field of interest and soil distribution information that specifies a soil distribution in the field. The estimated model is a model for estimating, from a measured value that indicates the state in the soil at one location within the field, the state in the soil at a location other than the one location.

Abstract: A vegetation index calculation apparatus (10) is provided with a learning model generation unit (11) that generates a learning model, by using an image of a crop targeted for calculation of a vegetation index and an image of plants other than the crop to learn a feature amount of the image of the crop, an image acquisition unit (12) that acquires an aerial image of a target region where the crop is being grown, a specification unit (13) that applies the aerial image acquired by the image acquisition unit (12) to the learning model generated by the learning model generation unit (11), and specifies the image of the crop in the aerial image acquired by the image acquisition unit (12), and a vegetation index calculation unit (14) that calculates the vegetation index of the crop, using the image of the crop specified by the specification unit (13).

Abstract: A vegetation index calculation apparatus (10) is provided with a learning model generation unit (11) that generates a learning model, by using an image of a crop targeted for calculation of a vegetation index and an image of plants other than the crop to learn a feature amount of the image of the crop, an image acquisition unit (12) that acquires an aerial image of a target region where the crop is being grown, a specification unit (13) that applies the aerial image acquired by the image acquisition unit (12) to the learning model generated by the learning model generation unit (11), and specifies the image of the crop in the aerial image acquired by the image acquisition unit (12), and a vegetation index calculation unit (14) that calculates the vegetation index of the crop, using the image of the crop specified by the specification unit (13).

Abstract: A dielectric spacer assembly including an annular dielectric isolation structure is formed through in-process source-level material layers. An alternating stack of insulating layers and spacer material layers is formed over the in-process source-level material layers. A contact via cavity is formed through the dielectric spacer assembly, and is filled within a dielectric spacer and a sacrificial via fill structure. The dielectric spacer assembly protects the dielectric spacer during replacement of a source-level sacrificial layer with a source contact layer. The sacrificial via fill structure is subsequently replaced with a through-memory-level contact via structure.

Abstract: A field management apparatus 10 is provided with a learning model generation unit 11 that generates a learning model 15, to learn feature amounts of the image of the phenomenon that results from the fault in the field equipment, an image acquisition unit 12 that acquires an aerial image of a target region, an image specification unit 13 that applies the aerial image to the learning model 15, and specifies an image of the phenomenon that results from the fault in the field equipment in the aerial image, and a fault location specification unit 14 that specifies a fault location of the field equipment in the target region, based on the image of the phenomenon that results from the fault in the field equipment.

Abstract: Disclosed is a control device that enables a terminal device to display an accurate field area. The control device receives position information obtained by position information obtainment means carried by a worker of the field; stores the received position information to storage means; and generates a field area identified by a field identifier on a map including the field based on the stored position information.

Abstract: A plant monitoring apparatus 1 includes: an extraction unit 2 that extracts a feature amount in a frequency response of vibration of a target plant with use of the vibration; a calculation unit 3 that calculates a change that indicates growth of the plant, based on the extracted feature amount and a reference feature amount that corresponds to a reference state of the plant; and an estimation unit 4 that estimates a state of the plant by, with use of the calculated change, referencing state information in which changes of the feature amount from the reference feature amount corresponding to growth of the plant are associated with states of the plant.

Abstract: A plant monitoring apparatus 100 includes: a soil state estimation unit 200 that estimates a state of soil by, with use of frequency association information calculated based on vibration measured via the soil, referencing soil state estimation information in which the frequency association information and information indicating states of the soil are associated with soil states; and a plant state estimation unit 300 that estimates a state of a plant by, with use of growth association information that was calculated based on vibration of the plant and indicates growth of the plant, referencing plant state estimation information in which the growth association information and information indicating states of the plant above a plant soil surface are associated with plant states above the plant soil surface.

Abstract: A soil condition estimation apparatus 1 includes a selection unit 2 that, by using a propagation time that vibrations take to propagate through a soil, selects vibrations measured from the soil, according the depth of the soil; an extraction unit 3 that extracts a feature of the selected vibrations; and an estimation unit 4 that estimates conditions of the soil by referencing soil estimation information in which the feature and conditions of the soil are associated with each other, using the feature.

Abstract: A vegetation index calculation apparatus (10) is provided with a specification unit (11) that collates height distribution data indicating a distribution of the height of plants that exist in a target region with predicted height data of a crop targeted for calculation of a vegetation index, and specifies a region where the crop exists within the target region, and a vegetation index calculation unit (12) that calculates the vegetation index of the crop that exists in the region specified by the specification unit (11).

Abstract: Provided are a soil estimation device, a soil estimation method and a program that are capable of improving the accuracy of estimation of a state in soil without increasing the number of sensors that detect the state in the soil. The soil estimation device 100 is provided with an estimated model generation unit 10. The estimated model generation unit 10 generates an estimated model based on at least one among geographical information that specifies a geographical feature of a field of interest and soil distribution information that specifies a soil distribution in the field. The estimated model is a model for estimating, from a measured value that indicates the state in the soil at one location within the field, the state in the soil at a location other than the one location.

Abstract: A dielectric spacer assembly including an annular dielectric isolation structure is formed through in-process source-level material layers. An alternating stack of insulating layers and spacer material layers is formed over the in-process source-level material layers. A contact via cavity is formed through the dielectric spacer assembly, and is filled within a dielectric spacer and a sacrificial via fill structure. The dielectric spacer assembly protects the dielectric spacer during replacement of a source-level sacrificial layer with a source contact layer. The sacrificial via fill structure is subsequently replaced with a through-memory-level contact via structure.

Abstract: In order to be capable of efficiently controlling harvesting processing of crops in conjunction with the harvesting season and harvesting volume, an information processing device has: an information generation unit that generates first harvesting schedule information for crops, including harvesting season information and harvesting volume information, on the basis of field information including at least one out of weather information, soil information, crop information, crop growth information, and agribusiness history information for a field; and a plan generation unit that generates a harvesting processing plan including at least one plan out of a harvesting plan, transportation plan, and processing plan for the field, on the basis of the first harvesting schedule information.

Abstract: An initial etch forms a trench over first contact areas of a plurality of NAND strings, the initial etch also forming individual openings over second contact areas of the plurality of NAND strings. Material is added in the trench to reduce an area of exposed bottom surface of the trench while maintaining the individual openings without substantial reduction of bottom surface area. Subsequent further etching extends the trench and the plurality of individual openings.

Abstract: A NAND flash memory includes active areas separated by STI structures in a substrate with a layer of a first dielectric over the substrate. Portions of a second dielectric extend over the STI structures and another layer of the first dielectric extends over both the layer and portions, with contact holes extending through the dielectric layers at locations over the active areas in the semiconductor substrate.