Nec Corporation

Shinji Oominato

Shunsuke Akimoto

Kousuke Ishida

Masami Sakaguchi

Hajime Ishikawa

Shintaro Matsumoto

Yusuke Kikuchi

Kenichiro Fujiyama

Tan Azuma

Kosuke Ishida

A field management apparatusis provided with a learning model generation unitthat generates a learning modelto learn feature amounts of the image of the phenomenon that results from the fault in the field equipment, an image acquisition unitthat acquires an aerial image of a target region, an image specification unitthat applies the aerial image to the learning modeland specifies an image of the phenomenon that results from the fault in the field equipment in the aerial image, and a fault location specification unitthat 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.

Field management apparatus, field management method, and computer readable recording medium

A plant monitoring apparatusincludes: a soil state estimation unitthat 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 unitthat 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.

Plant monitoring apparatus, plant monitoring method, and computer-readable recording medium

A plant monitoring apparatusincludes: an extraction unitthat extracts a feature amount in a frequency response of vibration of a target plant with use of the vibration; a calculation unitthat 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 unitthat 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.

A vegetation index calculation apparatus () is provided with a learning model generation unit () 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 () that acquires an aerial image of a target region where the crop is being grown, a specification unit () that applies the aerial image acquired by the image acquisition unit () to the learning model generated by the learning model generation unit (), and specifies the image of the crop in the aerial image acquired by the image acquisition unit (), and a vegetation index calculation unit () that calculates the vegetation index of the crop, using the image of the crop specified by the specification unit ().

Vegetation index calculation apparatus, vegetation index calculation method, and computer readable recording medium

A vegetation index calculation apparatus () is provided with a specification unit () 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 () that calculates the vegetation index of the crop that exists in the region specified by the specification unit ().

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 deviceis provided with an estimated model generation unit. The estimated model generation unitgenerates 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.

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Tokyo, Japan

Shinji Oominato