Patent classifications
A01G25/00
System and method for analysis of current and voltage levels within a center pivot irrigation system
The present invention provides a system and method for analyzing drive tower current and voltage levels to determine drive wheel status. In accordance with a first preferred embodiment, the system of the present invention includes a machine analysis module which analyzes data from electrical sensing systems, GPS sensors, and gyroscopic sensors. According to a further preferred embodiment, the machine analysis module applies a current/voltage sensing algorithm which analyzes the status of the first and second drive wheels based on detected operating currents/voltages of selected motors.
Measurement apparatus, measurement method, and computer-readable recording medium
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.
Measurement apparatus, measurement method, and computer-readable recording medium
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.
INTELLIGENT GARDENING SYSTEM AND EXTERNAL DEVICE COMMUNICATING THEREWITH
The present invention relates to an intelligent gardening system, for monitoring and controlling gardening apparatuses in a gardening area, including: multiple sensors that collect environmental information of the gardening area; one or more gardening apparatuses that perform gardening work according to a control instruction; and a control center that generates the control instruction based on the environmental information; wherein the sensors, the gardening apparatuses and the control center communicate with each other to form an Internet of Things.
ALTERNATE WETTING AND DRYING (AWD) SYSTEM AND METHOD
A method and system for irrigating a field adjacent a watercourse is disclosed comprising a plurality of pumps along the watercourse and measuring from time to time at a plurality of measuring locations the salinity, the pH, the temperature and the turbidity of the water. The measuring locations are different from the pumping locations. A real time salinity, pH, temperature and turbidity at the pumping locations is predicted from the measured values and the pumps selectively disabled or enabled on the predicted salinity, pH, temperature and/or the turbidity.
Additionally, there is disclosed an Alternate Wetting and Drying (AWD) method/system for irrigating a field using a pump comprising an outlet supplying water to the field and an inlet connected to a water source. The method/system comprises a sensor placed at a location in the field for sensing a water depth below a surface of the field and transmitting the water depth to a controller located remotely from the sensing location using a wireless connection. The controller enables the pump when the sensed water depth is below a threshold depth and disables the pump when the sensed water depth is above a threshold depth.
ALTERNATE WETTING AND DRYING (AWD) SYSTEM AND METHOD
A method and system for irrigating a field adjacent a watercourse is disclosed comprising a plurality of pumps along the watercourse and measuring from time to time at a plurality of measuring locations the salinity, the pH, the temperature and the turbidity of the water. The measuring locations are different from the pumping locations. A real time salinity, pH, temperature and turbidity at the pumping locations is predicted from the measured values and the pumps selectively disabled or enabled on the predicted salinity, pH, temperature and/or the turbidity.
Additionally, there is disclosed an Alternate Wetting and Drying (AWD) method/system for irrigating a field using a pump comprising an outlet supplying water to the field and an inlet connected to a water source. The method/system comprises a sensor placed at a location in the field for sensing a water depth below a surface of the field and transmitting the water depth to a controller located remotely from the sensing location using a wireless connection. The controller enables the pump when the sensed water depth is below a threshold depth and disables the pump when the sensed water depth is above a threshold depth.
Field management apparatus, field management method, and computer readable recording medium
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.
Field management apparatus, field management method, and computer readable recording medium
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.
WATER RESOURCES UTILIZATION STRUCTURE
The present invention relates to a water resource utilization structure that collects and stores water resources penetrating the ground, such as rainwater or melted snow, and distributes and utilizes the stored water resources for various purposes such as housing, vegetation, trees, industry, and fire. 1. It is a structure that utilizes water resources to respond to global environmental disasters and climate change with a focus on water circulation, water storage, and water supply. 2. In other words, it is a water resource utilization structure for sustainable green growth in response to global climate change.
Decision-making Method for Variable Rate Irrigation Management
A decision-making method for variable rate irrigation management includes the following steps: S1: sampling a soil from a root zone of a crop in an area controlled by an irrigation sprinkler, and measuring compositions of separates of the sampled soil; S2: managing and dividing the area controlled by the irrigation sprinkler according to an AWC of the soil in the root zone of the crop; S3: constructing an optimized soil moisture sensor network; S4: placing ground-fixed canopy temperature sensors; S5: constructing an optimized airborne canopy temperature sensor network centered on the center pivot; and S6: performing a variable rate irrigation by using the optimized soil moisture sensor network, the fixed canopy temperature sensors, the optimized airborne canopy temperature sensor network and an automatic weather station. The method optimizes the placement and quantity of the soil moisture sensor network and the canopy temperature sensor network to improve the measurement accuracy.