286 results about "Greenhouse crops" patented technology

The invention discloses a method for propagating Phytoseiulus Persimilis, which comprises the steps: planting and cultivation of host plant, inoculation and feeding of Tetranychus cinnabarinus, inoculation and feeding of Phytoseiulus Persimilis as well as collection, package and refrigeration of Phytoseiulus Persimilis. The method takes mass propagation of Phytoseiulus Persimilis as the purpose, provides technical support for feeding Phytoseiulus Persimilis on scale, and provides special predacity natural enemy for Tetranychus pest mites on greenhouse crops for biological control. The invention is a production method in which living hosts (firstly host plant and host Tetranychidae are cultivated) are adopted for feeding Phytoseiulus Persimilis, and makes a series of breakthroughs on key techniques for artificial mass propagation of Phytoseiulus Persimilis. The method of the invention can lead the production cost of Phytoseiulus Persimilis to be stabilized, the production period to be 25 days, and the production scale to reach 10,000/m<2>.

A photovoltaic greenhouse solar energy distribution method based on a crop growth mode includes: firstly, building an illumination need model based on green house crops, a photovoltaic cell equivalent mathematical model and a luminous environment mathematical model of crop canopies, building a multi-parameter, multivariable and nonlinearity coupling pair time differential equation, achieving utilizing an optimization algorithm to design, regulate and control a photovoltaic greenhouse cell array under conditions of different illumination intensity, different illumination angles and different temperatures by solving the differential equation, and achieving solar energy reasonable distribution of photovoltaic cell maximum electric energy production under a condition which satisfies greenhouse crop growth conditions. The invention provides a device used for achieving the photovoltaic greenhouse solar energy distribution method based on the crop growth mode. The invention provides the photovoltaic greenhouse solar energy distribution method based on the crop growth mode and the device of the photovoltaic greenhouse solar energy distribution method based on the crop growth mode, and the photovoltaic greenhouse solar energy distribution method based on the crop growth mode is capable of effectively achieving greenhouse photovoltaic power generation and effective regulation and control of crop growth and energy.

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 chitosan oligosaccharide composite with cold-resistant function, which is aqueous solution, wherein the mass concentration of the chitosan oligosaccharide is 5%-10%, other auxiliary active constituents include at least one of phosphorus, potassium, calcium, boron, molybdenum, zinc, salicylic acid and betaine, and the content of the auxiliary active constituents is 0.5%-30% of the total mass concentration of the composite. Before the flowering period and the young fruit period of fruit trees, the time of young seedling of melon and fruit, vegetables and flowers, and the cold sensitive period of the winter growth of greenhouse crops, the composite is diluted by 1000 times with water to be sprayed on the leaves of the plants for 2-3 times; the chitosan oligosaccharide composite used in the invention has the function of promoting photosynthesis of the crops, improving activation performance of various enzymes and promoting metabolism of carbohydrates; and the chitosan oligosaccharide composite is used for inducing the crops to improve stress resistance and inducing the crops to improve cold resistance, so that the crops can get through the low-temperature cold harmful period, and regular development and yield of the crops are ensured.

The invention discloses a straw returning biological agent for greenhouse crops and a biological fermentation method. The biological fermentation method comprises the steps: applying a compound microbial agent into a greenhouse, uniformly mixing the compound microbial agent with soil, smashed straws and manure, irrigating the greenhouse with enough water, and sealing the greenhouse for fermentation. The microbial agent enables organic matters and organic fertilizer in the soil and the straws to be quickly fermented, rotted and decomposed, and can quickly kill pests and diseases in the straws and the soil plough layer and quickly increase the content of organic matters and the fertility of the soil; heat generated by rotting fermentation of the organic manure and the straws and heat energy supplied by sunlight under a condition that the greenhouse is sealed can quickly heat the soil to create a high-temperature wet soil environment and enable the temperature in the greenhouse to reach 70 to 80 DEG C; the high temperature in the greenhouse is conducted into the soil to enable the soil temperature in the greenhouse to reach 45 to 60 DEG C; and the high temperature in the greenhouse can kill the pests and the diseases which float in the air and are attached to a wall and a material such as a plastic thin film.

The invention provides a greenhouse control system based on an SCM, which comprises a greenhouse execution mechanism, a parameter detecting device used for collecting parameters of the greenhouse and an SCM for the control in the greenhouse. The greenhouse execution mechanism comprises a ventilation system, a heating system, a sunlight shedding system and a pad and fan system or an irrigation system; the parameter detecting device comprises a temperature sensor and a humidity sensor or a lighting intensity sensor; the SCM comprises a database for storing the specialist knowledge of specific crop growth or livestock breeding, a man-computer operation module used for parameter setting and the selection of crop variety or livestock variety, a greenhouse parameter control module which sends a starting instruction to the execution mechanism of the corresponding parameters by the control manner of the specialist knowledge according to the received signals of the parameter detection device; the output of the greenhouse parameter control module is connected with the greenhouse execution mechanism. The system of the invention can increase the production efficiency, reduce costs, have high control precision and can effectively meet the requirements of the growth of greenhouse crops or the breeding of livestock.

The invention relates to an identification method for a stressed state of a water fertilizer of a greenhouse crop on basis of a computer vision technology. According to the identification method provided by the invention, a crop under a greenhouse environment is taken as a research object; a computer vision monitoring platform is constructed; a plant image cutting method which adapts to the change in natural illumination and a complex scene is researched; an obtained plant blade image is extracted at the aspects of morphology, color, grain and the like, and sufficient characteristic sets are constructed; a heuristic search algorithm, such as a genetic algorithm, a simulated annealing algorithm, an ant colony algorithm, a particle swarm optimization, or the like, is combined with a neural network technique for searching for the optimal characteristic subset; and a BP (Back Propagation) neural network is utilized to identify a stressed characteristic of the crop. A camera is moved by using a horizontal positioning system, so that the plant image is all-dimensionally obtained; the algorithm operation is realized by using a CUDA (Compute Unified Device Architecture) hardware platform, so as to meet the real-time demand on monitoring; and the invention provides a technical method for measuring destructiveness under the stressed state of the water fertilizer of the greenhouse crop and the application prospect is wide.

The embodiments of the invention disclose a greenhouse crop planting environment Internet of things intelligent regulation and control system and method. An Internet of things cloud platform receivesa first data packet which includes standardized crop planting environment data and is sent by an agricultural Internet of things gateway, and carries out data processing and data analysis on the standardized crop planting environment data according to a preset intelligent computing model, and determines that a control command is sent to the agricultural Internet of things gateway according to dataprocessing and data analysis results. Each Internet of things control device or a servo subsystem receives the various control commands of the agricultural Internet of things gateway, executes regulation and control motion, and completes the adjustment of corresponding parameters so that each parameter associated with a current crop planting environment tends to be each parameter expected value associated with a preset crop planting environment. In the scheme of the invention, for different planting areas, climates, seasons, crops, and different growers, targeted, intelligent, and personalized intelligent regulation and control can be performed.

The invention relates to a wireless monitoring node device for a growing environment of greenhouse cucumber by adopting a wireless monitoring method. The device is arranged in a wireless monitoring network of a greenhouse. The device is deployed in the greenhouse crop production field, wherein environment data are acquired through a sensor node, the acquired environment data (leaf temperature, room temperature, soil temperature, soil humidity and illumination value) are sent to a monitoring center, and the data are analyzed based on an expert knowledge base according to different periods of cucumber growth so as to provide appropriate environment parameters. A model performs weight definition on environment parameters of a germination period, a young seedling period, a leaf fling period and a fructification period of the cucumber growth by a fusion algorithm to form a digitalized expression so as to facilitate direct calculation and use of a computer. The device is a wireless monitoring device of a wireless sensing network, is efficient, reliable and convenient to operate, and is used for solving the difficulty in environment monitoring of a whole greenhouse production process by adopting a wireless sensing method.

The invention relates to the field of the agriculture greenhouse cultivation, and provides a greenhouse crop vine hanging device, and also provides a greenhouse crop cultivating method adopting same and further provides a greenhouse cultivated crop management method adopting the vine hanging device. A vine hanging cord in the vine hanging device can be controlled to open and to close, when a plant is branched, a main vine is separated from the branch through the vine hanging cord, so the main vine and the branch can be uniformly illuminated; since the crop cultivating method utilizes the vinehanging device, the crop branches can be adequately grown, and the utilization rate of the light source in summer can be improved according to the seasonable nature of crops; and since the managementmethod utilizes the vine hanging device, row spacing of plants is controllable, the utilization rate of a cultivating space can be improved, and the yield of the crop per elemental area can be increased.

The invention discloses a greenhouse crop growth inspection robot for intelligent inspection over crop growth situations in a greenhouse. The greenhouse crop growth inspection robot comprises a control system module, a moving mechanism, an intelligent and smart terminal mechanism, a multiaxis mechanical arm mechanism and a special detecting mechanism. The moving mechanism is used for achieving traveling of the greenhouse crop growth inspection robot on greenhouse rails. The multiaxis mechanical arm mechanism and the special detecting mechanism are mounted on the moving mechanism. The intelligent and smart terminal mechanism is mounted at the tail end of the multiaxis mechanical arm mechanism. The greenhouse crop growth inspection robot can achieve the function of autonomous traveling on the greenhouse rails, plant growth microenvironment information in the greenhouse can be acquired and monitored at fixed points in real time through sensors carried by the robot, drain on manpower and material resources is greatly reduced, and meanwhile, the greenhouse crop management efficiency is improved.

The invention relates to a greenhouse crop digital-imaging method based on ARM and binocular vision. The greenhouse crop digital-imaging method includes steps of S1, calibrating a binocular video camera via a checkerboard calibration method, acquiring left-right images of greenhouse crops by the binocular video camera; S2, correcting the left-right images of the greenhouse crops of the step S1 stereoscopically by the ARM embedded platform and then matching by the improved self-adaptive weight stereoscopic matching algorithm to obtain an initial disparity map, and optimizing disparity of the initial disparity image to obtain a complete disparity map; S3, acquiring a three-dimensional point cloud of the greenhouse crops by means of the triangle ranging theory by an upper computer according to the complete disparity map of the step S2, and rendering the three-dimensional point cloud according to the left-right images of the greenhouse crops of the step S2 and displaying and storing. Compared with the prior art, the greenhouse crop digital-imaging method has the advantages that real-time three-dimensional point cloud information of the greenhouse crops can be obtained, so as to reflect growth conditions and provide control reference based on vision for automatically controlling the greenhouse environment, data accuracy is high, cost is low and the like.

The invention discloses a three-dimensional cultivation method for greenhouse crops. The method comprises the following steps: (1) building a greenhouse, wherein the front roof angle of the greenhouse is greater than 45 degrees; (2) building a trapezoidal planting table in the greenhouse, wherein the trapezoidal planting table comprises a plurality of steps, handrails are arranged on the two sides of the steps, and the steps and the handrails can all be formed by connecting a plurality of steel pipes of different lengths; (3) placing cultivation vessels on each step of the trapezoidal planting table, and filling a cultivation medium into the vessels; (4) planting photophilous plants in the medium and planting sciophilous plants in the ground below the trapezoidal planting table. The method has the beneficial effects that the greenhouse span is shortened, the front roof angle is increased, the sunlight receiving angle of the greenhouse is increased, the temperature of the greenhouse is increased, the crops planted on the inclined plane are gradient in height, the mutual shading rate is reduced, the planting density can be increased, the yield is improved, and a shady space is formed on the lower part of the greenhouse to plant the sciophilous plants.

The invention provides a BP-GA-based greenhouse crop plantation efficiency condition optimization method and system. The method comprises the following steps: acquiring sample data of greenhouse crops; according to the acquired sample data, constructing a BP neural network model of a three-layer topology structure; training the three-layer BP neural network model by use of the sample data, and mining a function relation between an input variable and an output variable; and according to the function relation and a preset scoring weight, obtaining an integrated index E, and carrying out extremum searching optimization on the function relation by use of GA so as to obtain a decision parameter, wherein the decision parameter is a corresponding input variable combination when the integrated index E is the optimal. According to the invention, an optimal decision parameter combination for improving the greenhouse crop plantation efficiency can be timely grasped, and accurate prediction can be performed; and adjustment measures can be taken timely, key factors influencing the plantation efficiency can be reasonably controlled, considerable plantation output is guaranteed, the quality is improved, resources are effectively saved, and the production cost is decreased.

The invention provides a seeding, irrigation and picking all-in-one walkable agricultural greenhouse robot. The seeding, irrigation and picking all-in-one walkable agricultural greenhouse robot is characterized by being mainly comprising a walking mechanism, a base, a seeding mechanism, an irrigation mechanism and a harvesting mechanism, wherein the walking mechanism takes a hanger bracket as guidance to guide the base to freely move in the horizontal direction relative to the ground; the base is used as a main supporting piece to organically combine all the mechanisms; the seeding mechanism can be used for separating and seeding seeds; the irrigation mechanism can be used for finishing irrigation; and the harvesting mechanism can be used for harvesting and transporting green-leaf vegetables. The agricultural greenhouse robot provided by the invention realize seeding, irrigation and picking integration in greenhouse agricultural batch production; the mechanisms are simplified and consumed energy is reduced; and meanwhile, the quality and the consistency of greenhouse crops are guaranteed and improved.

The invention provides a method for producing granular compound fertilizer. The method comprises the following steps: 1) mixing raw materials to form a raw material system, wherein the raw materials comprise two or three out of nitrogen fertilizer, phosphate fertilizer and potassium fertilizer and binder, and the mass content of water-insoluble substances is lower than 5% in the mixed raw material system; and 2) granulating the raw material system into the granular compound fertilizer. Compared with the existing method for producing granular compound fertilizer, the invention can guarantee the granulating effect and ensure that the composite fertilizer is applicable in irrigation and fertilization by using the raw materials with low content of the water-insoluble substances and the binder. Therefore, the granular compound fertilizer is favorable for the integral water-fertilizer fertilization of leaf vegetables, greenhouse crops and cash crops and mechanical fertilization and improves the utilization rate of the fertilizer.

The invention relates to a method for breeding a large amount of Stratiolaelaps scimitus and Hypoaspis aculeifer (Canestrini) manually, which is a method for breeding a large amount of the two kinds of predatory mites manually by using prey mites in a medium such as sphagnum moss and peat soil in an environment at the temperature of 18 to 30 DEG C and a relative humidity of 65 to 95 percent. The method comprises: placing the breeding medium in a breeding container; inoculating the prey mites and predatory mites in the breeding container according to a ratio ranging from 10:1 to 1,000:1; and breeding for 15 to 45 days to obtain the large amount of Stratiolaelaps scimitus and Hypoaspis aculeifer (Canestrini). In the invention, the method breeds the two kinds of predatory mites with the medium with high water retaining performance and loose texture; and the method with more desirable breeding effect, simpler operation, lower workload and longer storage period in the breeding container is the optimal method for breeding the two kinds of predatory mites commercially. The method can provide more effective predatory mite resources for the small-scale biological prevention and control of harmful sciarid fly, rhizoglyphus robini claparede, flour mites, nematode and the like in crops such as greenhouse crops and edible fungi.

The embodiment of the invention provides a method and system for predicting the transpiration of greenhouse crops. The method comprises the steps of acquiring greenhouse environment parameters and animage of a target crop, Acquiring a target crop parameter based on the image of the target crop; Inputting the greenhouse environment parameters and the target crop parameters into a pre-trained random forest model, and outputting a predicted value of a target crop transpiration amount; Wherein the random forest model is obtained through training by using a random forest algorithm based on greenhouse environment parameter samples and target crop parameter samples. According to the embodiment of the invention, the greenhouse environment parameters are obtained in real time; meanwhile, greenhouse crop parameters are obtained in an image processing mode; Therefore, the environmental parameters and the crop parameters are used as input parameters of the random forest algorithm, the data set istrained through the random forest algorithm, prediction of the crop transpiration amount is completed, data acquisition is convenient, arrangement is simple, the environmental parameters and the cropparameters are comprehensively considered, and the transpiration amount prediction precision is improved.

The invention discloses a planting greenhouse intelligent monitoring system and method. The planting greenhouse intelligent monitoring system comprises a greenhouse frame body, a turnover transparent ceiling, a square guide rail which is laid at the top of the greenhouse, an S-shaped guide rail of the greenhouse ground, a speed control trolley on the square guide rail and a movable trolley on the S-shaped guide rail. The planting greenhouse intelligent monitoring system is characterized in that the bottom of the speed control trolley is provided with a wireless signal module and a sprinkler; the top of the movable trolley is provided with a wireless signal module and a camera, the speed control trolley, the sprinkler, the movable trolley and the camera are all connected to a computer through wireless signals, the greenhouse is internally provided with a humidity sensor, a temperature sensor and a carbon dioxide sensor, and all the sensors are connected to the computer through a bus. According to the planting greenhouse intelligent monitoring system and method, accurate spraying of manure and water to greenhouse crops can be achieved, and real-time monitoring of a planting area can be effectively achieved; meanwhile, the manpower and financial resources are sharply saved.

The invention belongs to the field of agriculture, and particularly discloses a local chicken breeding greenhouse with chickens and vegetables therein at the same time and a local chicken breeding method. The local chicken breeding greenhouse comprises a greenhouse body formed by a wall body and a ceiling. A thermal insulation quilt is arranged outside the ceiling. A buffer room is arranged outside the greenhouse body. A local chicken breeding area is arranged on the north part of the inner side of the greenhouse body in the east-west direction. A crop planting area is arranged on the south part of the inner side of the greenhouse body in the east-west direction. According to the local chicken breeding greenhouse and the local chicken breeding method, an efficient and ecological planting and breeding combined development mode is put forward according to the characteristics of greenhouse crop growth and the requirements of local chickens for stocking and through the combination of current ecological, economic and social development requirements; economic benefits are high, management requirements are low, the technology is easy to operate and grasp, ecological benefits are good, tillage resources can be fully used, ecological environment is improved, and the greenhouse has the advantage that benefits are obtained in many years through one-time investment.

The invention discloses an intelligent charging method of a mobile monitoring platform for facilities. A charging device comprises a power supply monitoring module, an information transmission module, a sensor module and a ground pressure sensor module, a charging module, an information receiving module, an information collection module, a control module, an alternating current-to-direct current conversion module and a power supply control module of an intelligent charging device, wherein the power supply monitoring module, the information transmission module and the sensor module are arranged on the mobile monitoring platform. Aiming at automatic cruise monitoring in a greenhouse environment, the invention further provides an intelligent control method. The requirements that greenhouse crops and an environment monitoring mobile platform carry out long-term timing automatic cruise without human intervention, and automatically and rapidly return to a charging region to timely charge at a cruise time interval can be met; timely electric energy supplement can be provided for the mobile monitoring platform; the work efficiency and the automatic degree of the mobile monitoring platform are improved; the human cost is reduced; and a support is provided for efficient management of the facilities.