1685 results about "Soil humidity" patented technology

The invention discloses a fuzzy-control-based internet of things intelligent irrigation and fertilization control method and system. The method comprises the first step of data collection and processing, wherein limiting values of the soil humidity, nutrients and pond water level and the irrigation and fertilization planning time are set and stored in a database according to the water demand regulation and a fertilization formula of crops, and collected soil temperature and humidity, soil nutrients, air temperature and humidity, air speed, rainfall, flow, pond water level and pipe network pressure data; the second step of intelligent control, wherein corresponding data are read from the database and an irrigation valve and a fertilization valve are intelligently controlled by the adoption of the fuzzy control algorithm and a water and fertilizer coupling mode, by comparing the current pond water level with the set limiting value of the pond water level, starting and stopping of a water pump are intelligently controlled, and the speed of the water pump is adjusted and controlled by a PID algorithm. The fuzzy-control-based internet of things intelligent irrigation and fertilization control method and system have the advantages of being good in performance, complete in function, high in expansibility, easy to operate and manage and the like, and intelligent management and control are achieved by the adoption of fuzzy control.

The invention provides a method for assimilating remote sensing data of soil humidity in a watershed scale. The method comprises the following steps of: improving a watershed runoff producing calculation module and developing a distributed hydrological model which is suitable for assimilating remote sensing soil humidity information and describes a soil hydrodynamic process; introducing a particle filtering sequence data assimilation method of information science, and continuously merging and assimilating new remote sensing observation data in a dynamic operation process of distributed hydrological process numerical simulation so as to acquire updated watershed soil humidity assimilated data during sequential assimilation; feeding the updated watershed soil humidity assimilated data back to a distributed hydrological model platform; and gradually estimating the time and space distribution pattern of watershed soil moisture content. Practices prove that by the method, not only high-precision and physically consistent watershed soil humidity data can be provided for research on hydrology, zoology, environment and agriculture, but also the foundation is laid for performing four-dimensional data assimilation processing on soil humidity data of an upper soil layer acquired by using remote sensing retrieval, and improving the precision of the model.

A soil parameter measurement arrangement includes a capacitive based soil moisture and salinity sensor, a predetermined moisture migration medium located in a volume adjacent said sensor so that the medium substantially occupies the field of influence of said sensor. The medium is in moisture communication with the soil to be measured, and said sensor is adapted to measure and produce data representative of the volumetric water content of said medium. A sensor data processing means determines both the soil moisture and salinity of said medium. By using the measured volumetric soil moisture content and the moisture release curve of the medium, it is possible to derive the matric potential of the soil. The measured salinity of the medium corresponds to the salinity of the soil that is in moisture communication with the medium.

The invention relates to an intelligent irrigation fertilization decision-making control system, comprising an input unit, an output unit, a data acquisition unit and an irrigation control unit, wherein, a decision-making analysis unit arranged in a decision control database receives the data from the input unit and exchanges data with a privilege unit after processing the received data, and then exchanges data with a fuzzy reasoning unit which also receives output data of a data management unit; after performing logical judgment and processing according to the received data, the fuzzy reasoning unit outputs the data to a control management unit; a sensor of the data acquisition unit acquires and transfers the soil humidity data to the data management unit; a controller of the irrigation control unit receives the data from the control management unit, and transfers the data to a switching quantity output module after processing, and the switching quantity output module transfers the data to a solenoid valve. The intelligent irrigation fertilization decision-making control system has the advantages that: crop physiological water demand indicators are introduced into the computer automatic control field, the irrigation fertilization decision-making is carried out through an irrigation indicator database and the fuzzy classification technology.

The invention relates to an underground water, fertilizer and gas integrated irrigation system, and belongs to the field of irrigation management. The underground water, fertilizer and gas integrated irrigation system comprises a water source, a water and fertilizer coupling system, an air-entrapping system, an active transport system, an irrigation system and a control system, wherein the water source comprises a running water inlet pipe opening and a check valve; the water and fertilizer coupling system comprises a water inlet valve, a fertilizer mixing tank, a fertilizer mixing valve, a fertilizer storage tank, a flow meter, a filter, a fertilizing pump and a water check valve; the air-entrapping system comprises an air compressor and an electromagnetic valve; the active transport system comprises a transport main pipe; the irrigation system comprises an irrigation main pipe, an irrigation branch pipe, an irrigation hollow billet and a water dropper; and the control system comprises a soil humidity control circuit and an atmospheric pressure test circuit. According to the underground water, fertilizer and gas integrated irrigation system, a certain amount of water and a certain quantity of a fertilizer are provided according to the requirements of crop growth; the root of a plant is ventilated to meet the condition that the root is subjected to aerobic respiration to maintain metabolism and growth and development of the overall plant; the use amount of water and the use quantity of the fertilizer can be effectively reduced; the management is optimized; the labor force is reduced; and the yield is increased.

The invention relates to a quick regenerating method for vegetation of returning farmland to grassland zone in extremely cold areas, which comprises the following steps of: (1) mixing and seeding annual pasture oat and perennial pasture on the farmland returning to grassland zone, and building an artificial pasture integrating mowing and grass seed harvesting functions; (2) ploughing and raking the artificial pasture; (3) sowing the seeds and applying base fertilizer; and (4) mowing the oat forage grass in the first year and harvesting the grass seeds and mowing the perennial pasture in the second year or later after covering and compacting the grass seeds in the step (3). The method utilizes the annual oat and perennial pasture to form different biotypes of pasture mixing and seeding community, so that the weed spreading can be obviously suppressed, the soil humidity and air humidity are obviously improved, the evaporation capacity and water loss and soil erosion intensity are reduced, therefore, the soil exposure time is short after regeneration of the grassland zone, the vegetation covering is quick, the water retention and preservation of soil moisture effect is obvious, and the ecological and economic benefits are remarkable.

The invention discloses a method for inverting surface soil physical parameters through passive microwave remote sensing. The method comprises the steps as follows: step one, brightness temperature data and MPDIes (microwave polarization difference indexes) of an AMSR-E passive microwave remote sensing brightness temperature image are acquired by a launched satellite-borne passive microwave remote sensing meter AMSR-E; step two, a relationship of smooth surface reflectance, surface soil roughness parameters, MPDIes and vegetation optical thickness is acquired through deduction; step three, surface soil humidity mv and soil roughness h are calculated; and step four, the surface soil temperature TS is calculated. The method is based on a simplified passive microwave radiation transfer equation and combined with the MPDIes, a Q / H surface soil roughness model, a vegetation optical thickness model, a Fresnel equation and the like, so that a physical inversion model for the surface soil determinant attribute parameters including the soil temperature, the surface soil temperature and the soil roughness is constructed; and the method can be used for inverting the surface soil temperature, soil humidity and surface roughness distribution of China and even the global region and has important scientific significance.

The invention discloses a data analysis based agricultural guidance system. The data analysis based agricultural guidance system comprises a sensing module used for acquiring crop planting parameters, including, at least one of climate temperature, climate humidity, soil humidity, a soil pH value, a oxygen amount and a carbon dioxide amount; an image module used for acquiring crop image data; a climate data module used for obtaining climate data where the crops are within a preset time period; a guidance center used for receiving the data acquired by the sensing module, the image module and the climate data module, calculating generated indexes and a production predicted value corresponding to the crop parameters, image characteristics and the climate data after extracting the image characteristics of the image data, querying a preset database to obtain corresponding guidance information and pushing the guidance information to mobile devices of farmers. The data analysis based agricultural guidance system decreases a monitoring threshold in an agricultural product production process, reduces planting difficulty and production cost and is suitable for development of modern precision agriculture.

The invention relates to the greenhouse crop planting field, in particular to compound microbes for reducing and disinfecting greenhouse soil and a soil disinfection method, and solves the problem of multiple defects in the prior art. The compound microbes comprise bacteria, actinomycetes, saccharomycetes and moulds. The soil disinfection method includes the steps of selecting June to September as a disinfection period to apply crop straws, organic fertilizer and the compound microbes on the soil after the crops are harvested; deeply plowing soil layers to form small ridges; covering ridge surfaces with plastic film, filling enough water under the film till the soil humidity achieves 100%, and sealing the mulching film and covering the greenhouse plastic film for 20 to 25 days; and uncovering the greenhouse plastic film and removing the mulching film for planting. According to the compound microbes for reducing and disinfecting greenhouse soil and the soil disinfection method, the method is non-toxic, harmless, pollution-free and residue-free, pathogenic bacteria, ova and the like in soil plough layers are killed, soil organics are increased, the soil physical and chemical structure is improved, soil fertility is improved, and good foundation is laid for improving product qualities.

The invention discloses a method and an apparatus for detecting deep soil humidity through microwave remote sensing, and relates to the technology of microwave remote sensing. The method for detecting deep soil humidity through microwave remote sensing is provided by utilizing an object-penetrative property of microwave low-frequency bands and also disclosed is the apparatus for detecting deep soil humidity through microwave remote sensing. Backscattering coefficients of soils are tested. Soil humidity of different depth is obtained through inverting a deep soil scattering model and a soil dielectric model. A three dimensional image of the distribution of soil humidity in a tested area is formed. The working frequency of the apparatus is in the VHF / UHF band. Soil dielectric constants and humidity parameters of different types of soils in a depth of 0.1-10 m can be detected in a contactless and lossless manner.

The invention relates to an intelligent control system for a greenhouse. The system comprises the greenhouse, a drip irrigation mechanism, a heating mechanism, a light supplementing mechanism, an automatic ventilation mechanism, a roller shutter mechanism, solar photovoltaic panels, a wind power generation device and a control cabinet and is characterized in that the drip irrigation mechanism is composed of drip irrigation pipes and water pumps; the heating mechanism is composed of heat supply pipes and a hot air generation device; the light supplementing mechanism is composed of multiple light supplementing lamps; the automatic ventilation mechanism is composed of two ventilation fans; the roller shutter mechanism is arranged on a sun-facing surface of the greenhouse; a control circuit iscomposed of a micro-controller, a temperature and humidity sensor, a PH valve sensor, an illumination sensor, a CO2 concentration sensor and a soil humidity sensor. The intelligent control system forthe greenhouse performs drip irrigation, ventilation, light supplementation, and hot ventilation operation when water content of soil, CO2 concentration, illumination and temperature are excessivelylow. Therefore, automated control over growth of crops in the greenhouse is realized. A better environment is created for growth of crops in the greenhouse. The intelligent control system for the greenhouse has evident beneficial effects and is suitable for application.

A device for irrigating soil has a chassis having wheels or tracks for motion, the chassis having one or more water sprinklers with streams directed at the soil, a water storage tank, and a sloped catchment surface having one or more sloped planes or curved surfaces for receiving water from a refill station into the water storage tank, wherein, under the control of an electronic circuit, the irrigation device can refill the water tank by positioning any part of the catchment surface under a water stream from the refill station. A method has the steps of measuring soil moisture at remote locations, refilling the mobile robot using a gravity feed water stream, defining a route for distribution of water, traversing the irrigation routes, refilling water according to soil moisture measurements, storing photovoltaic energy in a battery, and rotating, to a compass heading such that the photovoltaic array is optimally oriented.

An irrigation system includes at least one environmental sensor, such as a solar radiation sensor that is installed on an irrigation site, and a soil moisture sensor that is also installed on the irrigation site. Programming allows an estimated ET value to be calculated based at least in part on the output signal of the environmental sensor. A pre-programmed watering schedule is automatically modified based on the estimated ET value to thereby conserve water while maintaining the health of plants on the irrigation site. The system automatically inhibits irrigation when an output signal of the soil moisture sensor indicates an amount of moisture in the soil is above a predetermined threshold.

The invention discloses a design method for a high-resolution fully distributed hydrological model TOPX, which belongs to the field of design methods for fully distributed hydrological models. The design method is combined with a new topologic index computational method, and has a topologic index scale transform mechanism. The design method includes steps of A), preparing data of a TOPX model of the high-resolution fully distributed hydrological model; B), computing topologic indexes of the high-resolution fully distributed hydrological model TOPX; C), computing runoff generation of the TOPX model of the high-resolution fully distributed hydrological model; D),computing soil humidity of the TOPX model of the high-resolution fully distributed hydrological model; E), computing confluence of the TOPX model of the high-resolution fully distributed hydrological model; and F), obtaining testing results of the TOPX model of the high-resolution fully distributed hydrological model and analysis of the testing results. The design method has the advantages that DEM (digital evaluation model) data can be simply and effectively processed, topologic index efficiency is improved, and applicability of the TOPX model in a high-resolution DEM field can be effectively enhanced.

The invention provides a best water-saving irrigation method by wireless soil moisture monitoring. In the invention, a central control unit is arranged, and a wireless monitoring terminal and a wireless execution terminal are arranged in an irrigation field to perform network communication with the central control unit. The wireless monitoring terminal is provided with a soil moisture sensor and a soil nutrition sensor, wherein the sensors transmit data of current soil humidity and nutrition to the central control unit; the central control unit transmits a water-supplying and nutrition-adding command to the wireless execution terminal according to the current soil condition; and the wireless execution terminal determines the water supply amount and supplies water according to the command. The whole process is performed automatically, so the method saves mass labor force, especially saving mass water resources.

The invention relates to an indoor intelligent plant maintenance device comprising an environment information collection sensor, a central processor, and a maintenance motion module. To be specific, the environment information collection sensor is used for collecting environment information of the plant; the input terminal of the central processor is connected with the environment information collection sensor and the central processor is used for receiving plant environment information collected by the environment information collection sensor and carrying out operation and comparison on the environment information and a plant growth characteristic model to obtain a control signal; and the maintenance motion module connected with the output terminal of the central processor is used for executing a corresponding maintenance motion according to the control signal of the central processor. In addition, the invention also relates to a system and method that use the device. The device, system and method have the following beneficial effects: environmental factors including soil humidity, air humidity, an air temperature, illumination density and the like can be monitored in real time; and determination of environmental factor adjustment can be made and a corresponding operation is executed according to the plant growth characteristic model, thereby realizing an intelligent maintenance effect.

The invention discloses an intelligent flower watering system controlled by mobile phone Bluetooth or a PC and a control method of the intelligent flower watering system. The intelligent flower watering system comprises a signal collecting processing module. The input end of the signal collecting processing module is connected with a soil moisture sensor and a parameter control module. The output end of the signal collecting processing module is connected with a watering module. A communication channel of the signal collecting processing module is connected with a terminal control module. The soil moisture sensor is used for detecting a flower and plant soil moisture state. The parameter control module is used for setting a preset watering threshold value. The signal collecting processing module is used for comparing the received flower and plant soil moisture with a water threshold value preset by a potentiometer, and after interaction of the control terminal module and a terminal device, instruction control over turning on or off of watering module is carried out. The moisture of soil in a flowerpot can be obtained through the soil moisture sensor, the watering module can turn on or off a water pump by comparing of the soil moisture and the watering threshold value, and accordingly the state of flowers and plants can be monitored in real time.

The invention provides a method for measuring large-area soil humidity, which comprises the following step of: mounting a vertical polarized receiving antenna, a GPS (Global Positioning System) receiver and a computer for carrying out signal processing. The measuring process is carried out by utilizing the interference effect of a GPS signal and a reflecting signal thereof. By utilizing the widely existing GPS signal as a signal source, the method can be used for carrying out all-weather large-area measurement, has low cost and more further simplifies a receiving device by utilizing the interference effect.

The invention discloses a landscaping fine management device based on cloud computing, comprising a control device, a soil nitrogen-phosphorus-potassium detector, a GPS (Global Positioning System) positioning device, a soil humidity sensor, a soil compactness measurer, a vibrating device, a water pipe flow valve, a nitrogen fertilizer bin, a phosphorus fertilizer bin, a potassium fertilizer bin and a cloud computing server; the landscaping fine management device based on cloud computing is provided with the soil nitrogen-phosphorus-potassium detector, so that some elements can be specifically and quantitatively added into soil; hard soil can be loosened under the action of the vibrating device via the soil compactness measurer and the vibrating device; the device realizes fine management, and quantitatively supplies elements to the soil, so that plants are grown in the most appropriate soil; and the vibrating device is used for loosening soil via electrical energy generated by branches swinging in air, so that the device is energy-saving and environment-friendly.

The invention discloses an intelligent flower watering system. The intelligent flower watering system comprises a water storing bucket, a control table and a flowerpot. The control table comprises a control module, a soil humidity collecting module, a display screen, a one-way electromagnetic valve and a key. The water storing bucket is communicated with the flowerpot through a water pipe, the one-way electromagnetic valve of the control table is arranged on the water pipe to control the water pipe to be on or off, the soil humidity collecting module, the one-way electromagnetic valve, the display screen and the key are connected with the control module, and the detecting end of the soil humidity collecting module is arranged in soil of the flowerpot. By means of the intelligent flower watering system, reasonable watering can be achieved according to the practical situation, water resources are saved, a plant can better grow, and the intelligent flower watering system is small in size, convenient to install, easy to operate and remotely controllable.

The invention discloses a method for propagating apocarya seedlings. The method comprises the steps of selecting an annual apocarya seedling branch, shearing the branch to be the length being 10 cm, and soaking the lower end of the sheared branch into an 800 mg / L NAA solution for 4 h; placing a matrix into a paper bag, inserting a cutting into the matrix, enabling the paper bag obtained by cuttage to tightly abut against a mesh disc with a hole, and placing the paper bag on a seedbed; in the cutting rooting process, keeping the soil humidity to be about 70%, and keeping the temperature of the lower end of the cutting to range from 25 DEG C to 30 DEG C; conducting grafting 40 days after cuttage, adopting the bark peg grafting method, transferring the kraft paper bag, obtained after grafting, with the cutting into a large pot, filling the periphery of the pot with the matrix, pulling out 4 / 5 of the kraft paper bag, observing the grafting survival rate 15 days after grafting, completely removing the paper bag, and then conducting high-density nutrient and water management. According to the method, the apocarya nursery stock can grow more than 80 cm in the current year, and the survival rate is more than 90%.

The invention discloses a method for assessment of soil moisture in a corn planting area based on an improved MODIS index. The method comprises 1) preprocessing collected MODIS remote sensing data, 2)calculating a remote sensing index, 3) partitioning vegetation coverage degrees, 4) according to the thresholds of low and medium-high vegetation coverage areas of bare soil, constructing an improvedMODIS index, and 5) constructing a soil water content estimation model. Compared with the passive microwave method, the method has better spatial resolution. Compared with the active microwave method, the method has higher temporal resolution. Through striking an average of the temporal and spatial resolution of the active and passive microwave method, the method for assessment of moisture content of surface soil has good temporal and spatial resolution.

The invention relates to an intelligent irrigation control system and method based on short message service. The intelligent irrigation control system comprises a soil temperature sensor, a soil humidity sensor and an air temperature sensor which are arranged in a farmland and connected with the input end of a lower computer, wherein the lower computer receives the temperature information and humidity information of the farmland and sends the temperature information and the humidity information to an upper computer through a serial port; meanwhile, the lower computer monitors a command of the upper computer in real time, and is also connected with electromagnetic valves arranged in irrigation regions and used for controlling the opening and closing of the electromagnetic valve of each irrigation subregion; the upper computer is also connected with a wireless transmission module; and a user inputs a control command into the upper computer by a mobile phone, a computer or a fixed-line telephone through the wireless transmission module. According to the invention, the control command is input through a PC (personal computer) interface or common mobile phone or operation parameters are collected through the PC interface or common mobile phone, and automatic irrigation is carried out according to the acquired environment parameters or preset plan. An automatic irrigation control system based on a PC development platform is high in stability, is flexible in operation, and is suitable for large-scale popularization and application.

The invention discloses a soil measuring device for land planning, and relates to the technical field of land planning equipment. A driving motor is fixedly arranged on the upper part of a lifting plate through a motor bracket, a rotating shaft is fixedly arranged at the output end of the driving motor, the upper end of the rotating shaft is rotatably arranged on the middle part of the lifting plate through a bearing, and a drill bit is fixedly connected to the bottom end of the rotating shaft; a fixing plate is arranged on the lower side of the lifting plate, two electric lifting rods are symmetrically and fixedly arranged on the left side and the right side between the lifting plate and the fixing plate, the upper ends of the electric lifting rods are fixedly connected with the bottom ofthe lifting plate, and the bottom ends of the electric lifting rods are fixedly connected with the upper part of the fixing plate; leg supporting mechanisms are vertically and fixedly arranged on four corners of the bottom of the fixing plate; and a detection mechanism fixedly sleeves the outer side wall of the rotating shaft on the upper side of the drill bit. Technicians can conveniently sampledeep-level soil, the sampled depth can be effectively controlled, the humidity of a hard soil layer can be effectively measured, and soil humidity sensors are damaged.

The invention discloses a real-time agricultural irrigation monitoring and regulating system based on big data and the Internet of Things. The real-time agricultural irrigation monitoring and regulating system based on big data and the Internet of Things comprises a data collecting module, a data processing module, an image collecting module, an image processing module, an image feature analyzingmodule, a manual input module, a storage database, a cloud server, an irrigation coefficient analyzing module, an irrigation execution end, a fertilization execution end and a display. According to the provided intelligent constructional engineering construction operation environment monitoring system based on big data, by collecting and processing image information of crops, analyzing the kinds and growth stages of the crops in combination with collection and processing of the soil humidity, the air temperature, the air humidity and the wind speed in farmland within various collection time periods, counting irrigation coefficients of crop soil, and then extracting the volume, corresponding to each irrigation coefficient, of water needed for irrigation per square meter according to the corresponding irrigation coefficient of the crop soil to obtain the irrigation water volume corresponding to an occupied area of the farmland, collecting and analyzing nutrient elements of the farmland soil at the same time, and supplying nutrient elements which the soil is short of in time, irrigation and fertilization integrated operation is achieved, the accuracy of the irrigation water volume andthe fertilization amount of the soil is improved, and the water requirement and the fertilization amount of the soil can be analyzed reasonably according to the current practical situations of the soil and the crops, so as to conduct intelligent irrigation and fertilization, so that waste of water resources and fertilizers and high human cost are reduced.

The invention discloses a compartment trench controlled irrigating paddy rice water-saving culturing method. The culturing method comprise she following steps of ploughing the soil, digging trenches, forming compartments, direct broadcasting or transplanting paddy rice, managing moisture and managing the field. A compartment and trench mode is employed for paddy rice plantation; based on different paddy rice growth periods, a circulating irrigation process with humid compartment surface soil and formed by full trench water-half trench water or full trench water-dry trench is achieved; paddy field compartment trench water level can be visually tested and compartment surface soil humidity can be determined, so irrigating time and amount can be determined and present intermittent irrigation technology can be optimized; irrigation water can be conserved; rain water and irrigation water utilization rate can be improved; and paddy rice yield can be maintained or improved.

An irrigation and fertilization system based on crop environment cooperative feedback comprises a meteorological station, a soil humidity sensor, a leaf area index measuring instrument and a controller. After the meteorological station, the soil humidity sensor and the leaf area index measuring instrument obtain the sunshine duration, air pressure, air temperature, air humidity, precipitation amount, small climate environment 2-meter high wind speed, solar radiation, field water holding capacity, field water holding rate, water saturation degree, moisture content of withering point soil, a wilting coefficient and leaf area index parameters related to growth of crops, the parameters are transmitted to the controller for data processing and calculation, the infiltration amount, the potentialinfiltration amount, the potential crop transpiration amount, the soil surface potential evaporation amount and potential evaporation amount parameters are obtained, and a mathematical model is further established through calculation to form an irrigation plan.

The invention discloses a method for improving soil organic matter through fungus cultivation. The method includes the steps of selecting species of fungi, preparing a base material, preparing compost, preparing a cultivation species suitable for field production, conducting field production and post-production treatment and the like. The compost is laid in a field and applies high-strength organic fertilizer to the field; after the compost is decomposed through mycelia, macromolecular substances are degraded into small molecular substances capable of being easily absorbed by crops, and therefore soil fertility is improved; fungus chaff left after production is rich in nutrient an is superior organic fertilizer; in the fungus field production process, fungi are irrigated, soil humidity can be kept, and the improvement of soil microbial flora and soil ecology is greatly helped. Compared with the prior art, the method has the advantages that load cultivation type fungus production is developed through an existing cultivated land, economic benefits can be achieved, the soil organic matter content can be improved, soil ecology is improved, soil fertility is increased, and soil restoration and crop fertilization can be achieved by developing the land cultivation type fungus production.

The invention discloses an Internet of Things greenhouse agricultural growth monitoring system and relates to an agricultural growth monitoring system. The Internet of Things greenhouse agricultural growth monitoring system comprises a plant ecology sensing system, a meteorological environment sensing system, and an equipment control system. The plant ecology sensing system and the meteorological environment sensing system transmits acquired data to a host computer. The host computer controls the start and the stop of the equipment control system. The plant ecology sensing system comprises a plant stem flow gauge, a tree radial growth monitor, a chlorophyll content measuring sensor, a leaf thickness sensor, and a fruit expansion sensor. The meteorological environment sensing system comprises an air temperature sensor, an air humidity sensor, a soil temperature sensor, a soil humidity sensor, a carbon dioxide sensor, an in-greenhouse illumination sensor, an out-greenhouse illumination sensor, an out-greenhouse rainfall sensor, and an out-greenhouse wind direction and wind speed sensor. The Internet of Things greenhouse agricultural growth monitoring system guarantees optimum plant growth environment and state, saves production cost, and reduce production energy consumption.

The invention discloses a water-saving irrigation method and system based on a fuzzy logic control theory. The water-saving irrigation method comprises the following steps of 1, acquiring first growthinformation data of crops in a current stage; comparing the first growth information data with a fuzzy control rule table to inquire the water amount required by the crops in the current stage; judging whether or not the required water amount is greater than the minimum value of the soil water content in the current stage; if yes, calculating the water irrigation amount required by the crops andsending an irrigation instruction; waking up terminal nodes in a dormant state to irrigate the crops; judging whether or not the soil humidity in the current area reaches the water irrigation amount in real time; if yes, driving the corresponding terminal nodes to stop irrigation and switching the terminal nodes into the dormant state, or if not, enabling the corresponding terminal nodes to continue irrigation. According to the system, quantitative irrigation is carried out according to the actual demands of the crops, the phenomenon of water resource waste is effectively avoided, and the utilization rate of irrigation water is increased.