275 results about "Soil moisture sensor" patented technology

The invention relates to the technical field of intelligent agriculture and ecological internet of things, in particular to an ecological irrigation decision dynamic optimization method and related equipment. Comprising the following steps: acquiring multi-source environment data, acquiring a soil profile humidity gradient in real time through a soil humidity sensor array, acquiring future rainfall probability distribution, a temperature change rate and a wind speed predicted value in combination with a weather forecast interface, and synchronously accessing a geographic information system to acquire terrain elevation and crop distribution data. The three technical bottlenecks of model dimension collapse, parameter estimation instability and optimization response lag in a traditional irrigation decision-making system are systematically solved by constructing a space-time coupling analysis framework and a closed-loop optimization mechanism of multi-source heterogeneous data.

The invention discloses a precise irrigation decision analysis method and system based on crop water demand, and particularly relates to the technical field of crop irrigation. A monitoring area is divided, soil humidity sensors with different depths are installed, moisture state data of a root zone are monitored in real time, moisture gradient change characteristics and moisture retention time deviation characteristics are extracted and analyzed, a moisture fluctuation abnormal index is calculated, the moisture fluctuation abnormal index is compared with a threshold value, and the moisture fluctuation abnormal index is calculated. The method comprises the following steps: dividing underground water fluctuation into high, middle and low underground water fluctuation abnormal levels, and taking corresponding irrigation adjustment measures according to different levels of fluctuation: taking a drainage measure to reduce excessive soil moisture for high-level abnormal fluctuation; crop water demand model parameters are dynamically adjusted through medium-grade fluctuation; a normal irrigation strategy is maintained by low-grade fluctuation, so that negative effects of underground water fluctuation and excessive irrigation on crop root zones and soil structures can be effectively avoided, soil permeability and water storage capacity are maintained, long-term productivity of farmland is guaranteed, and irrigation efficiency and water resource utilization rate are improved.

The invention discloses a strip-shaped compound planting mode water and fertilizer zoning management method and system, and relates to the technical field of modern agriculture, and the method comprises the following steps: installing a sensor network in a field, collecting data through a soil moisture sensor, an intelligent water meter and an unmanned aerial vehicle multispectral camera, threshold values are set according to the water demand and the fertilizer demand in the crop growth cycle to judge fertigation, crop demands are predicted by applying multiple linear regression and a random forest algorithm, a fertigation plan is optimized, the growth trend is analyzed, the yield potential is evaluated, the influence of the irrigation level is researched, and an irrigation strategy adjustment suggestion is provided. The system collects field data through an integrated sensor network, accurately sets an irrigation and fertilization threshold value, predicts crop demands by using an advanced algorithm, optimizes a water and fertilizer management plan, effectively analyzes a growth trend and evaluates yield potential, provides a scientific basis for irrigation strategy adjustment, and significantly improves modern agricultural production efficiency and resource utilization efficiency.

A soil moisture sensor includes a power source, a parallel plate capacitance sensing element, and an electronics unit. The parallel plate capacitance sensing element is powered by the power source and is adapted for ground insertion to generate and transmit capacitance data. The electronics unit is powered by the power source to: receive the capacitance data transmitted from the parallel plate capacitance sensing element; process the received capacitance data; and communicate the processed capacitance data off sensor.

The invention discloses an agricultural irrigation area water resource intelligent management system and method, and relates to the field of intelligent management, and the method comprises the steps: building a correlation model of a crop growth stage and a basic irrigation threshold value through real-time collection of original weather station data, future 24-hour weather forecast, crop types, planting dates and other multi-dimensional data; and in combination with soil humidity sensor data and a channel pump station state, the basic irrigation starting threshold is dynamically adjusted by using an FAO formula or a deep learning algorithm to form a dynamic irrigation decision threshold. And then multi-source data is input into an irrigation decision module, an irrigation starting and stopping instruction is generated by judging the relation between the irrigation state and the soil humidity threshold value, and closed-loop management is achieved. Thus, the limitation of traditional irrigation static threshold management is broken through, and through meteorological data dynamic adaptation and multi-source data fusion decision making, on the premise of guaranteeing crop growth water demand, the water resource allocation efficiency is optimized, and the intelligent management level of an agricultural irrigation area is improved.

The invention discloses a traditional Chinese medicinal material standard base intelligent irrigation and fertilization method based on the Internet of Things and a decision making system, and relates to the technical field of agricultural informatization. Through multi-source data acquisition and intelligent analysis, the limitation of an existing irrigation and fertilization method is solved, accurate decision making and resource optimization are realized, comprehensive data are acquired by utilizing a soil moisture content sensor, a meteorological station and plant image acquisition equipment, and by combining principal component analysis, a long-short-term memory neural network and a block chain technology, the intelligent irrigation and fertilization method is realized. According to the system, the water and fertilizer requirements are accurately predicted, an irrigation and fertilization scheme is optimized, data credibility and traceability are ensured, meanwhile, real-time control and collaborative operation of equipment are achieved through edge calculation and a wireless sensor network, the resource utilization efficiency is improved, the production cost is reduced, and scientificity and sustainability of traditional Chinese medicine planting are remarkably improved.

The invention belongs to the technical field of intelligent irrigation, and discloses a garden environment monitoring and management system based on the Internet of Things technology, and the system comprises a soil moisture monitoring module which obtains the moisture content of a root layer of garden vegetation through an implantable TDR soil moisture sensor array; the carbon flux sensing module is used for respectively monitoring carbon dioxide flux and vegetation photosynthetic efficiency through a vortex covariance tower and a chlorophyll luminoscope and acquiring carbon flux data and photosynthetic efficiency parameters; obtaining net carbon exchange capacity based on the carbon flux data and the photosynthetic efficiency parameters; the data coupling module is used for performing coupling analysis on the moisture content of the root system layer and the net carbon exchange capacity, establishing a moisture-carbon fixed correlation model, calculating a carbon sink efficiency index and judging whether an initial irrigation demand signal is generated or not; the utilization rate of water resources is increased; and meanwhile, ecological benefits are considered.

A soil sensor includes a signal generator, and a transmitter coupled to the signal generator, the transmitter configured to transmit a signal from the signal generator, the signal having a fixed frequency, the transmitter including a transmit electrode embedded within a first dielectric material. The soil sensor includes a receiver, the receiver being configured to electrostatically couple to the transmitter through a channel including soil, the receiver including a charge variation (QVAR) electrode embedded within a second dielectric material. The soil sensor includes a charge variation (QVAR) sensor coupled to the QVAR electrode, the QVAR sensor configured to detect a variation in charge detected at the QVAR electrode in response to the signal from the signal generator and output a digital signal including the charge detected. And the soil sensor further includes a processing circuit coupled to the QVAR sensor and configured to determine a level of moisture in the channel based on the digital signal.

According to the technical scheme, the water-saving irrigation device for agricultural technology popularization is characterized by comprising a water storage tank, a water supply hole is formed in one side of the water storage tank, a water supply pipe is connected to the interior of the water supply hole, a flow dividing box is connected to one side of the water supply pipe, a water pump is connected to the interior of the water storage tank, and one end of the water pump is connected with the water supply pipe; the plurality of mounting holes are formed in one side of the shunting box; the irrigation assembly is arranged on one side of the flow dividing box and used for irrigating farmland, when irrigation water is conveyed to the water seepage pipe through the water supply pipe, micropores are formed in the outer wall of a pipeline of the water seepage pipe, stable water irrigation can be achieved, and pressure control can be conducted on the conveyed irrigation water through a pressure adjusting valve; waste caused by too fast water flow or uneven irrigation caused by insufficient water flow is avoided, soil humidity is monitored in real time through a soil humidity sensor, the irrigation amount of the water seepage pipes at different positions is controlled in cooperation with a first electromagnetic valve, utilization of irrigation water is optimized, the water saving effect is improved, and waste of water resources is reduced.

The invention relates to the technical field of landscaping, in particular to a landscaping intelligent irrigation system and a control method thereof.The landscaping intelligent irrigation system comprises a sensor module, a control module and an execution module, the sensor module comprises a soil humidity sensor and a meteorological sensor, and the control module comprises a microprocessor; the microprocessor is in communication connection with the soil humidity sensor and the meteorological sensor, the execution module comprises an electromagnetic valve group for controlling the on-off of an irrigation pipeline in a partitioned manner, an electromagnetic valve is electrically connected with the microprocessor, a spray head is mounted on the pipeline, and the microprocessor is in communication connection with a cloud platform which can be remotely controlled by a user through a mobile phone APP or a Web end. The irrigation system has the technical effects that the problem of resource waste of a traditional irrigation system can be solved, and the irrigation efficiency is improved.

The present invention relates to a corn field water-saving irrigation system, comprising a water tower, a water pump, an output main pipeline, a delivery branch pipe, a nozzle and a nozzle. The water pump is connected to a plurality of delivery branch pipes, and each delivery branch pipe is provided with an independently controlled branch valve. The delivery branch pipe is fixed along the ground by the clamp and the positioning pile; a protective box is provided on the outer side of the delivery branch pipe, and a wireless transmitter and a soil moisture sensor are provided in the protective box, and the detection end of the soil moisture sensor is inserted below the ground. A relay transceiver is provided on the corn field; the soil moisture data sensed by the soil moisture sensor is sent to a nearby relay transceiver through a wireless transmitter; a plurality of relay transceivers transmit the data in a relay manner, and finally send it to a data concentration controller, and then transmit it to a control background through the data concentration controller, and the control background adjusts the opening and closing and opening degree of the branch valve of the delivery branch pipe and the power of the water pump according to a preset program to achieve the purpose of water-saving irrigation.

The invention aims to provide a farmland pollution monitoring system, an underground leaching water quantity monitoring method and an underground leaching water quantity monitoring device, which can realize the real-time in-situ monitoring of the farmland nitrogen leaching water quantity under the condition that the soil moisture content is changed from an unsaturated flow state to a supersaturated flow state, comprising a soil moisture sensor, a soil pressure sensor, a rainfall sensor and a control box, the soil moisture sensors are arranged at different depths of soil; the soil pressure sensor is arranged on the surface layer of the soil; the rainfall sensor is arranged above the soil in an exposed manner; the soil moisture sensor, the soil pressure sensor and the rainfall sensor are electrically connected with the control box through sensor connecting lines and transmit data.

The invention relates to the technical field of agricultural vegetable greenhouse intelligent control, and provides an agricultural vegetable greenhouse intelligent integrated control system, which comprises a core board, an STM32F103C8T6 core board is adopted, the STM32F103C8T6 core board carries a microcontroller of an Arm Cortex-M3 core, 32-bit CPU performance is provided, the microcontroller is used for executing control tasks, data processing and communication, and the core board is connected with the microcontroller. An intelligent control system of an STM32F103C8T6 core board is adopted for real-time data transmission and remote monitoring, an environment monitoring system integrating an illumination intensity sensor, a DHT11 type temperature and humidity sensor and a soil humidity sensor is adopted, a WIFI module of an ESP8266-01S module is adopted for wireless remote data transmission and control, and an intelligent environment regulation and control strategy is adopted. According to the technical scheme, the energy consumption is reduced, the service life of equipment is prolonged, the replacement frequency is reduced, and the problems of high energy consumption and short service life in the prior art are solved by adopting the integral design with high stability and reliability and adopting the energy-saving sensor and the controller.

The invention discloses a multi-mode soil moisture content sensor layout method, and relates to the technical field of sensor network layout and optimization. The problem that soil moisture content monitoring quality and low operation cost cannot be considered at the same time in a traditional laying method is solved. According to the method, a soil moisture status state estimation vector and an error covariance estimation vector are obtained and corrected by using a constructed measurement and calculation model and a constructed measurement model, and an objective function is constructed by using the corrected error covariance estimation vector and the soil moisture status state estimation vector to minimize estimation error, state estimation deviation and sensor operation cost. And according to a set constraint condition, enabling the target function to be minimum for constraint, and carrying out optimization solution on the target function by utilizing an optimization algorithm to obtain an optimal layout position of each sensor. The method is mainly used for carrying out optimized layout design on the sensors in the farmland.

The invention provides an anomaly detection method and device for soil moisture monitoring data based on a time series, and the method comprises the steps: obtaining soil moisture values of a plurality of time steps collected by a soil moisture sensor; performing moisture change detection based on the soil moisture values of the plurality of time steps, and determining a soil moisture change result of a target time step; determining the response minimum rainfall of the soil moisture sensor based on the measurement depth and the measurement precision of the soil moisture sensor; based on the soil moisture change result and the response minimum rainfall, a data detection result of a first soil moisture value of the target time step is determined, and the data detection result is used for representing whether the soil moisture change result of the target time step is caused by rainfall or not; according to the invention, the reliability of soil moisture monitoring data can be improved.

Various embodiments for an autonomous forest fire detection, alerting and mitigation device includes a subterranean data gatherer having a plurality of soil temperature and soil moisture sensors installed at a plurality of different depths in a soil. A data assimilator that has a configured threshold change depending on the plurality of different depths in the soil of the plurality of soil temperature and soil moisture sensors, the soil properties, the duration of the fire, and a time delay duration. The data assimilator receives a data transmission packet from the subterranean data gatherer and detects a fire and generates a fire alert when the plurality of soil temperature and soil moisture sensors all breach the configured threshold change. A smart water pump is also started to slow the fire or completely stop it. The subterranean data gatherer is installed at the plurality of different depths in the soil.

The invention discloses an irrigation and drainage system capable of accurately controlling the field water level and an implementation method thereof, and relates to the field of water-saving irrigation. Comprising a water pump controller, a signal source transmitter, a pump system, a water conveying pipe, a three-way connector, a flow meter, a water level gauge, an electromagnetic switch valve assembly, a soil moisture sensor, an irrigation and drainage dual-purpose channel, a water inlet electromagnetic lifting valve, a drainage electromagnetic lifting valve, a remote execution control element, a signal source receiver, a test field I, a test field II, a test field III and a test field IV. Wherein the pump system is a core irrigation element, the water level gauge is used for monitoring water level information in a test field, the soil moisture sensor is used for monitoring soil moisture information in the test field, the flow meter is used for reading water volume data of water lifted by the pump system, and the water inlet electromagnetic lifting valve is used for realizing irrigation in the test field. And the drainage electromagnetic lifting valve is used for realizing drainage in the test field. The irrigation and drainage system can achieve accurate control over the field water level through manual operation and remote control at the same time.

The invention relates to the technical field of chemical or physical analysis, in particular to a soil moisture sensor arrangement method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining corresponding multi-source geographic data and a target soil moisture dense observation area based on the arrangement task of a soil moisture sensor, a gateway area with stable signals is screened out in a target area, a plurality of relay points which can stably communicate and are suitable for installation are screened out, then corresponding relay paths are planned, and the installation path of the robot dog is generated by using the relay paths so as to control the robot dog to complete a layout task. And thus, detection data returned by the target soil moisture dense observation area are obtained. Therefore, the technical problems that in a mountainous area environment, the arrangement condition of the soil moisture sensor is harsh, the subjectivity of manual arrangement is high, the continuity and reliability of data return are difficult to guarantee, accurate and high-timeliness data are difficult to obtain, and the soil moisture monitoring efficiency is low in the related technology are solved.

The cultivation method comprises the steps that the macadamia nut forest with the tree age larger than or equal to 5 years is selected, PVC permeable pipes with water seepage holes are laid at the bottoms of ditches, and the ditches are covered with gravel layers; ridging is conducted along the dead furrows, and a lower layer of fallen leaf crushed matter mixed decomposed farmyard manure, a middle layer of acid red soil and an upper layer of special konjak matrix containing functional microorganisms are constructed on ridge bodies in a layered mode; performing cold shock treatment on the seed taros, soaking the seed taros in chitosan-nano-selenium composite liquid, and coating the seed taros with nut oleoresin; the height of the sunshade net is dynamically regulated and controlled through an intelligent system to maintain the shading rate to be 60%-70%, and automatic drip irrigation is carried out based on a soil humidity sensor; harvesting and retaining rhizomes after konjak seedlings fall, removing konjak plants before nut fruit drop, and collecting dropped fruits by utilizing dead furrows. According to the method, the problems of water and light accurate regulation and control, root competition and harvesting conflicts are solved, waste recycling is achieved, the soft rot rate is decreased, the fruit drop loss rate is greatly decreased, and the comprehensive output value is remarkably increased.

A dielectric sensor probe includes a stake having a longitudinal axis and an electric component positioned in the stake. The electronic component includes a first electrode having a first length measured along the longitudinal axis and a second electrode having a second length measured along the longitudinal axis, the second electrode being spaced apart from the first electrode. The first length and the second length longitudinally overlap each other. The electronic component is operable to measure dielectric permittivity of a quantity of material positioned between the first electrode and the second electrode.

The invention discloses a landscape garden vegetation irrigation device, and relates to the technical field of vegetation irrigation, the landscape garden vegetation irrigation device comprises a mobile control assembly, the top edge of the mobile control assembly is provided with a spray irrigation assembly; when the device is used, the soil humidity sensor is inserted into soil near the roots of vegetation to detect the moisture content, and a worker sets the required irrigation water amount and irrigation time on a mobile phone; after receiving the parameter data sent by the mobile phone software, the intelligent irrigation controller identifies and compares the parameter data; when the set time is up, the intelligent irrigation controller can automatically start the water pump, water is pumped into the water outlet pipe through the water pumping pipe, enters the fixed pipe, the hose, the connecting pipe and the water spraying pipe through the electromagnetic flowmeter, and is sprayed by the spray head. The intelligent irrigation controller adjusts the water flow in the pipeline by controlling the electromagnetic flowmeter, the purpose of accurately controlling the irrigation water amount is achieved, and the accuracy and stability of the irrigation process are ensured.

The invention discloses a water and soil conservation monitoring system and method, and belongs to the field of water and soil conservation monitoring, and the method comprises the following steps: determining a monitoring target and a measured core variable combination, and formulating a specific measurement technical scheme based on a multi-parameter measurement target; the method comprises the following steps: selecting monitoring points in a set monitoring range, evaluating the importance and potential interference degree of each point to a multivariable measurement result in combination with terrain, meteorological factors and human activity intensity, grading according to the importance and potential interference degree, and configuring different numbers of standby monitoring positions for different grades of point positions; rainfall, sediment and soil moisture sensors are deployed at selected points, initial data of all variables in a normal environment are collected, and initial reference values of all measurement channels are established. Through the combination of the steps, monitoring blindness and resource waste are avoided, the flexibility of a monitoring network is improved, data continuity and accuracy are guaranteed, the exception handling efficiency is improved, and efficient and accurate water and soil conservation monitoring is achieved.

The agricultural water and fertilizer integrated irrigation device comprises a base and a water and fertilizer box fixedly connected to the top of the base, one side of the water and fertilizer box is fixedly connected with an infusion pump through a connecting block, and the water inlet end of the infusion pump communicates with a liquid inlet pipe. According to the agricultural water and fertilizer integrated irrigation device and method, a soil moisture sensor is inserted into soil to detect the moisture saturation, if the detected moisture value is lower than a moisture standard value, a central processing unit controls a liquid inlet pipe on a liquid pump to extract water and fertilizer from a water and fertilizer box, and the water and fertilizer are introduced into a drip irrigation pipe through a liquid outlet pipe; and if the detected moisture value is higher than a preset moisture standard value, the central processing unit controls the infusion pump to stop pumping water and fertilizer, so that the crops can be automatically irrigated, excessive or insufficient water and fertilizer irrigation is effectively prevented, the accuracy of water and fertilizer irrigation is improved, and the water and fertilizer irrigation efficiency is improved. And normal growth of crops is ensured.

An intelligent irrigation control system that includes: • a plurality of soil moisture sensors (101) configured to monitor the volumetric water content of the soil in real time; • a camera module (102) configured to capture periodic images of the ground surface; • a microcontroller (103) operatively connected to the soil moisture sensors and the camera module, the microcontroller being programmed to: (i) receive and analyze sensor data; (ii) apply image processing algorithms to detect visual indicators of soil dryness; (iii) compare the sensor data with the results of the image analysis; and (iv) activate a relay module (104) to control a water pump for irrigation only when both the sensor data and the image analysis confirm soil dryness; and • a wireless communications module (105) configured to transmit data to a remote interface (106) for user access and control; wherein the system performs automated, image-guided irrigation to optimize water use and crop health.

An irrigation system, an irrigation sensor system and smart scheduling for irrigation purposes, processes, and methods of use are presented. The irrigation system is configured with a plurality of wireless soil moisture sensors and a plurality of irrigation controllers. The system utilizes a predetermined set of rules and ongoing machine learning to adapt the rules. The system also integrates artificial intelligence and a number of other components to automatically provide irrigation to a desired system which saves water, energy, time, and provides benefits to a user and a global community.

A method and system for a hydrological process that describes and characterises either statically or temporally, soil moisture variability within agricultural fields, specific to zone-based field recommendations. Surface and subsurface hydrological processes are combined with soil physical properties, electrical conductivity (EC), topography, soil moisture sensors and climate parameters from weather stations, to produce a zone-based soil moisture balance. This process facilitates in-season optimization of crop inputs such as water from irrigation, seed, nutrients, herbicides, or pesticides based on the soil moisture conditions throughout a field.

The invention provides a soil moisture sensor data quality inspection and interpolation method, which comprises the following steps: screening multivariable soil moisture time sequence data based on a preset core physical feature list, carrying out abnormal value detection through physical rule constraint and an isolation forest algorithm, and carrying out data labeling by creating a complete time axis; generating a training sample from the preprocessed data through sliding window sampling, and performing deep feature learning by using a denoising network based on a space-time diffusion probability model; performing interpolation on missing values in the original data by using the trained space-time diffusion probability model, generating a noisy data sample through a forward noise adding process, and performing conditional data interpolation based on a known observation value and a mask matrix in a reverse denoising process to generate a preliminary interpolation result; and performing post-processing correction on the preliminary interpolation result, wherein the post-processing correction comprises clamping correction based on a monthly historical range and correction based on interlayer physical logic.

A system of integrated water and fertilizer planting and industrial collaboration for a terraced field in an ecologically fragile area includes a hardware part, a software part, a water balance and osmosis model, a water and fertilizer optimization and adjustment model, and an industry collaboration model. The hardware part includes a terraced field intelligent irrigation equipment, soil moisture sensors, a meteorological station, a fertilizer application device, an underground water storage system, and a solar power supply. The system introduces the water balance and osmosis model to effectively manage water resources in terraced field. By integrating data from the soil sensors and meteorological station, it automatically optimizes the methods of irrigation and fertilization, preventing water waste and soil erosion. The water and fertilizer optimization and adjustment model can dynamically adjust the application of nitrogen, potassium, and phosphorus fertilizers based on real-time environmental data and crop requirements.

The utility model discloses an on-site online calibration system for a soil moisture sensor. The on-site online calibration system comprises an outer barrel, an inner barrel, a weighing platform, an edge measurement and control terminal, a to-be-calibrated soil moisture sensor, a power supply system, a drainage system and a water replenishing system, the soil moisture in the inner barrel is actively regulated and controlled through the edge control terminal, weighing data and data of the to-be-calibrated soil moisture sensor are synchronously recorded, the actual soil moisture is calculated and compared with the soil moisture measured by the to-be-calibrated soil moisture sensor, and automatic calibration of the to-be-calibrated soil moisture sensor is achieved. The calibration process of the soil moisture sensor is fully automatic, and the original state of soil is kept.

The invention provides a high slope monitoring data wireless transmission module, which relates to the field of high slope monitoring and maintenance and comprises a placement plate and a vertical plate frame. A soil humidity sensor is installed in a through hole of the placement plate, a machine box is welded to the upper side face of the placement plate, the upper side face of the machine box is connected with a machine cover shell through bolts, a photovoltaic controller is installed on the inner side face of the machine cover shell, a wireless transceiver is installed at the top end of the interior of the machine cover shell, and a solar power generation panel is installed on the outer side face of the machine cover shell; a BDS positioner is installed on the front side face of the vertical plate frame, and a Beidou positioning system is arranged in the BDS positioner. Through arrangement of a BDS positioner, a soil humidity sensor, a wireless transceiver and a solar power generation panel, 24-hour real-time remote monitoring of the position of a high slope geographic structure is realized, and continuity of displacement data of the high slope structure is ensured. The problems that manpower is consumed when a field measurement mode is adopted in traditional high slope monitoring, and a high slope monitoring data chain is discontinuous due to the fact that a monitoring blank period exists in regular monitoring are solved.