Abstract: An irrigation water amount measurement apparatus 10 includes: a sensor data obtaining unit 11 that 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 unit 12 that 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 unit 13 that 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 unit 14 that 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.

Abstract: The present invention provides a measurement apparatus 1 including: a detection unit 2 configured 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 unit 3 configured to specify, based on the pressure detected by the detection unit 2, a supply time during which the liquid was supplied; and a supplied amount calculation unit 4 configured to calculate a supplied amount of the liquid based on the supply time.

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: The present invention provides a measurement apparatus 1 including: a detection unit 2 configured 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 unit 3 configured to specify, based on the pressure detected by the detection unit 2, a supply time during which the liquid was supplied; and a supplied amount calculation unit 4 configured to calculate a supplied amount of the liquid based on the supply time.

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: An irrigation water amount measurement apparatus 10 includes: a sensor data obtaining unit 11 that 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 unit 12 that 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 unit 13 that 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 unit 14 that 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.

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 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 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: 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: A noise filter in which the resonance of noise can be prevented, which is small in size and inexpensive, and is useful especially in an electronic device of which the signal frequency exceeds 100 MHz. In the noise filter, ground conductors are arranged on the outermost layers of a laminate formed by lamination of magnetic sheets and firing thereof. Transmission lines and ground conductors are alternately arranged with the magnetic sheets being sandwiched between them, respectively. Signal electrodes connected to the transmission lines and ground electrodes connected to the ground conductors are formed on the outer surface of the laminate. Thus, a signal is transmitted through the transmission lines while the ground conductors are grounded, and therefore, high frequency noise can be attenuated by utilization of heat loss caused by the magnetic sheets.

Abstract: A noise filter includes a plurality of magnetic sheets stacked one on another. The magnetic sheets are baked to form a layered product. A transmission line is arranged between the second and third magnetic sheets. The transmission line extends linearly in the longitudinal direction of the layered product. Two ground conductors have the second and third magnetic sheets therebetween. Signal electrodes connected to both ends of the transmission line are arranged adjacent to both ends, in the longitudinal direction, of the layered product. Grounding electrodes connected to the ground conductors are arranged in the middle positions, in the longitudinal direction, of the layered product. With the ground conductors being grounded, a signal passes through the transmission line, thus attenuating high-frequency noise using heat dissipation by the four magnetic sheets.