Nec Corporation

Kousuke Ishida

Shunsuke Akimoto

Shinji Oominato

Hajime Ishikawa

Masami Sakaguchi

Shintaro Matsumoto

Yusuke Kikuchi

Kenichiro Fujiyama

Tan Azuma

An irrigation water amount measurement apparatusincludes: a sensor data obtaining unitthat obtains sensor data for specifying soil moisture contents of sections of an agricultural field, from moisture sensors installed in the respective sections; an irrigation water amount measurement unitthat measures a supply amount of irrigation water supplied from a drip irrigation system during a period from start to end of irrigation in the entire agricultural field; an irrigation time specifying unitthat specifies a period of time during which irrigation water was supplied to the section based on a change state of a soil moisture content of the section; and a calculation processing unitthat calculates a supply amount of irrigation water supplied to the section, based on a period of time specified for the section, a period from start to end of irrigation, and a measured supply amount.

Irrigation water amount measurement apparatus, irrigation water amount measurement method, and computer-readable recording medium

The present invention provides a measurement apparatusincluding: a detection unitconfigured to detect a pressure according to a shape change of a tubular structure whose shape changes according to a supplied amount of a liquid that flows therein; a time specification unitconfigured to specify, based on the pressure detected by the detection unit, a supply time during which the liquid was supplied; and a supplied amount calculation unitconfigured to calculate a supplied amount of the liquid based on the supply time.

Measurement apparatus, measurement method, and computer-readable recording medium

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 ().

Growing community of inventors

Tokyo, Japan

Kousuke Ishida