7578 results about "Horticulture" patented technology

Provided in the present invention are a creation method and apparatus for a tea leaf disease recognition model, and a device and a storage medium. The creation method comprises: acquiring a plurality of images of tea leaves, and disease and insect pest information corresponding to each image; generating a tea leaf disease recognition model, wherein the tea leaf disease recognition model includes a MobileNetV3 model, an ultra-lightweight attention model and a fully connected layer; and on the basis of the plurality of images of tea leaves and the disease and insect pest information corresponding to each image, training the tea leaf disease recognition model. The tea leaf disease recognition model can automatically recognize tea leaf diseases and insect pests.

Disclosed are a handmade flower and a flower maker. The handmade flower comprises a rod, a bracket, a lump, and pieces, wherein a socket allowing one end of the rod to be inserted therein is formed in one end of the bracket, an assembly hole is formed in the other end of the bracket, and an eject post and a connecting post are arranged at two ends of the lump respectively. The handmade flower can be assembled by insertion more directly and easily; by means of the flower maker, the handmade flower can be assembled more tightly and can be made more efficiently and easily, and the flower is likely to fall apart and can be easily made by kids.

The invention discloses a fixed fungus bed double-layer gastrodia elata cultivation device and method, and relates to the technical field of gastrodia elata cultivation. Comprising a cultivation installation part, and the cultivation installation part is used for double-layer cultivation of gastrodia elata. One-way isolation pieces are mounted on the cultivation mounting pieces; a limiting releasing part is mounted on the cultivation mounting part; a loosening prompting piece is mounted at the bottom of the cultivation mounting piece; the loosening prompting piece is used for detecting soil loosening during cultivation; an inclined control piece is mounted at the top of the cultivation mounting piece; the wood pile mushroom bed base material can be positioned by adopting the cultivation mounting piece, so that the wood pile mushroom bed base material can be fully utilized; the problems that according to an existing fixed fungus bed double-layer gastrodia elata cultivation device, seeds and seed tubers cannot be conveniently cultivated in a double-layer mode, and soil layer looseness cannot be conveniently prompted are solved.

The invention discloses a tea leaf fermentation degree determination method with image recognition, which comprises the following steps: shooting tea leaves through a high-definition camera and a camera in different tea leaf processing stages according to different tea leaves to obtain high-definition images of the tea leaves, preprocessing the collected tea leaf images, and determining the fermentation degree of the tea leaves according to the preprocessed tea leaf images. Through denoising, contrast enhancement and color correction technologies, an acquired image is preprocessed, the image is converted into a proper color space for extracting color features in the tea image, and dominant hue and color distribution on the surface of tea are analyzed. The invention relates to the technical field of tea leaf detection, and the method can realize non-destructive, real-time and accurate tea leaf fermentation degree monitoring, and automatically judges the fermentation state of tea leaves by shooting tea leaf images and analyzing visual features of colors, forms and textures of the tea leaves in combination with a machine learning algorithm. Therefore, the automation level and the production efficiency of the tea processing process are improved.

The invention discloses a tomato stem picking point attitude estimation method, and relates to a computer vision processing technology. The method comprises the following steps: detecting a long-range directional frame target, acquiring a color flow by a depth camera, and detecting position information and shielding conditions of fruits and fruit stems through a directional frame; visual guidance: matching fruit stems based on tomato growth constraint conditions, and visually guiding the mobile platform and the mechanical arm to move in a coupling manner until the fruit stems are observed when the fruit stems are not matched; detecting close-range key points, regulating and controlling a mechanical arm to a close-range observation position, identifying two points of a main stem and three points of a fruit stem through a key point detection model, and extracting point clouds; performing point cloud data processing, removing point cloud noise through point cloud filtering, and performing adaptive compensation on key points with depth anomaly by using a neighborhood mean value; calculating picking poses, and establishing the picking poses of the fruit stem shear points according to the three-dimensional information of the five key points; according to the method, the problem of tomato shielding in a greenhouse complex scene can be effectively solved, and the fruit stem shearing point pose is obtained.

The invention relates to the technical field of production of organic chili oil bean halves, and discloses an organic chili oil bean halve production process which comprises the following steps: cooking and curing organic broad beans, cooling to make koji, and carrying out heat preservation fermentation to obtain sweet halves; mixing and pickling the organic fresh chilies with sodium chloride to obtain low-salt chilli embryos; mixing the sweet petals with the low-salt chili embryos, and adding an emulsifying active medium to obtain soy sauce mash; performing staged temperature-controlled fermentation and normal-temperature solarization curing on the soy sauce mash; and grinding and sterilizing the fermented and cured material to obtain a finished product of the organic chili oil bean halves. The preparation method comprises the following steps: pre-dispersing rapeseed oil into fine liquid drops by using active yellow mustard micro powder; the calcium carbonate buffering agent releases calcium ions in response to the acidity change of the system, pectin in chili is induced to be subjected to a cross-linking reaction, a three-dimensional gel network is constructed in soy sauce mash, dispersed oil drops are physically embedded, the oil drop merging and migration resistance is increased, and the oil separation rate of the product in the storage process is reduced.

The invention provides a method for preparing an edible mushroom culture medium from agricultural waste biomass and application, and belongs to the technical field of agricultural resource utilization and edible mushroom culture. The edible fungus culture medium provided by the invention is prepared from the following components in parts by mass: 10 to 20 parts of wood dust, 15 to 30 parts of sawdust, 15 to 30 parts of corn straw, 20 to 30 parts of algae waste, 30 to 50 parts of cottonseed hull, 3 to 10 parts of chitosan, 3 to 10 parts of humic acid, 1 to 3 parts of gypsum, 1 to 3 parts of lime and 0.3 to 1 part of compound strain. By adopting the edible mushroom culture medium disclosed by the invention, the yield and the quality of mushrooms can be remarkably improved, and the quality of the mushrooms is effectively improved due to the addition of the algae waste, the humic acid and the chitosan. Meanwhile, the edible mushroom culture medium can also be used for cultivating other types of edible mushrooms such as oyster mushrooms and pleurotus eryngii, and the yield of the edible mushrooms is increased.

The invention discloses an intelligent mango fertilizing method. The method comprises the following steps: arranging a drip irrigation pipeline connected with a water and fertilizer mixing device in a drip irrigation area; canopy images including visible light and near-infrared band information of leaves, flower buds, flowers and fruits are periodically collected through a multispectral imaging device; visual features and spectral features are extracted based on an image processing algorithm, the visual features comprise leaf color distribution, form thickness indexes, flower bud density, flower coverage rate and fruit volume ratio, and the spectral features are near-infrared reflectivity ratios of leaf and flower and fruit areas; matching a growth stage standard library according to the characteristic data, judging a flower bud differentiation stage, a flowering stage or a fruit expansion stage, and calling a corresponding stage judgment model to identify a nutrient and moisture deficiency state; and dynamically adjusting the nutrient concentration and dosage of the drip irrigation liquid according to the judgment result. The method is used for accurate water and fertilizer management of mango planting, a fertilization decision is optimized through multi-source data fusion and closed-loop regulation, and the response capability in a complex nutrient demand scene is improved.

The invention belongs to the technical field of agricultural image recognition and intelligent direction adjustment, and discloses a ginger direction adjustment and plant spacing control method and system based on instance segmentation, and the method comprises the steps: training improved YOLO11-seg through collecting a stacked ginger seed data set, and obtaining the mask information of ginger blocks and ginger buds; and obtaining the three-dimensional coordinates of each target ginger seed in a camera coordinate system in combination with the depth image after the repair algorithm is used. According to the method, seed taking priority ranking is carried out on a plurality of ginger targets based on a multi-factor scoring function, and the direction adjusting angle and the plant spacing correction distance for controlling ginger seed placement are solved through the relative position relation between ginger buds and ginger blocks. According to the method, the ginger stacked in the box can be accurately identified, the direction adjusting placement parameters are obtained, and the method can be used in agricultural scenes such as intelligent seeding, so that manual seeding is replaced, the labor cost is reduced, the seeding efficiency and quality are improved, and the fine agriculture requirements are met.

The invention discloses a comprehensive treatment method of lotus seeds, and belongs to the technical field of deep processing of agricultural products. The method comprises the following steps: collecting dry shell lotuses and sending to step S2; s2, grading the lotus seeds with the dry shells, shelling the lotus seeds with a shelling machine, gathering the lotus seeds, winnowing the lotus seeds, and sending the lotus seeds to the step S3; s3, carrying out color sorting by adopting a color sorter, and sending qualified red lotus seeds to step S4; the shelled lotus seeds are sent to the step S2; the semi-finished product is sent to step S5; s4, the red lotus seeds are manually selected, and red lotus seed products are obtained; s5, grading the semi-finished product, removing cores, gathering, screening out lotus cores to obtain core-removed red lotus seeds, and respectively sending the core-removed red lotus seeds to step S6 and / or S7; s6, screening and manually selecting the red lotus seeds without cores to obtain red lotus seed products without cores; s7, grading the red lotus seeds without the cores, grinding the red lotus seeds, collecting the red lotus seeds and sending the red lotus seeds to the step S8; and S8, performing color sorting on the polished lotus seeds, and then performing screening and manual selection to obtain white lotus seed products.

The invention relates to a method for identifying the variety and phenotype of a mature fruit based on deep learning, and the method comprises the steps: S1), building an image data sample set of the mature fruit, which comprises the image data of a plurality of mature fruit variety samples, the image data of phenotype samples of corresponding fruit varieties, and corresponding labeling information; step S2), taking the YOLOv8m network model as a basic model to construct an improved YOLOv8m-MLCA model; s3) training the YOLOv8m-MLCA model by using the image data sample set of the mature fruits; and S4) inputting a mature fruit image into the trained YOLOv8m-MLCA model, and outputting the variety and phenotype result of the mature fruit.

A factory shiitake mushroom picking robot, comprising a moving platform, a base (100), a lifting / lowering device (200), a mushroom stick gripping device (300) and a shiitake mushroom picking device (400), wherein the base (100) is connected to the moving platform, the lifting / lowering device (200) is connected to the base, the mushroom stick gripping device (300) is connected to the lifting / lowering device (200), and the shiitake mushroom picking device (400) is connected to the base (100). The mushroom stick gripping device (300) is used for removing mushroom sticks from a mushroom rack (4). Mushroom stick gripping across different layers is achieved by means of the lifting / lowering device (200). The shiitake mushroom picking device (400) comprises a robotic arm (402) and an end effector (403). Image data of the mushroom sticks is collected by three depth cameras, shiitake mushrooms to be picked are identified by means of multi-view target matching, and quality grade classification is carried out, to achieve graded picking. Also disclosed are a vision-based graded picking method, a shiitake mushroom detection and grading method based on multi-view fusion, and a storage medium for executing the steps of the corresponding methods. The technical problems of existing automated shiitake mushroom picking robots, including low picking efficiency, low degree of automation, susceptibility to damaging mushroom caps and mushroom sticks, and the inability to accurately identify mature shiitake mushrooms are solved.

The invention provides a waxberry maturity detection method and system, and relates to the technical field of waxberry maturity detection. The method comprises the following steps: processing a waxberry fruit image to obtain a target image; according to the brightness distribution characteristics of the three-dimensional structure of the meat column on the surface of the waxberry fruit in the target image under fixed illumination, a shadow area and a highlight area in the target image are identified and segmented; extracting geometric attributes and first texture features; constructing feature vectors of the waxberry fruits by combining the geometric attributes with the first texture features; and determining the maturity grade of the waxberry fruits according to the feature vectors. The method aims at solving the problems of light and shadow confusion and insufficient single-face information in a traditional method, the accuracy and reliability of waxberry maturity evaluation are remarkably improved on the premise that no complex hardware equipment is added, and then accurate overall maturity lossless evaluation of waxberries with only single-face images is achieved.

The present invention discloses a preparation for promoting strontium absorption in blueberries, belonging to the technical field of blueberry cultivation. The preparation consists of citric acid, potassium fulvate and Trichoderma harzianum. On the one hand, the preparation promotes the biological availability of strontium in strontium-rich soil, and on the other hand, by improving soil air permeability, it promotes the growth of blueberry roots and enhances the strontium absorption capacity of blueberry roots, thereby increasing the strontium content in blueberry fruits. The preparation for promoting strontium absorption in blueberries provided by the present invention has a simple formula, a simple process, and the raw materials used are all common raw materials, with a low cost. Applying the preparation for promoting strontium absorption in blueberries provided by this application can not only increase the strontium content in blueberry fruits, but also increase the yield of blueberries, which is of great significance for blueberry cultivation.

The invention discloses a fruit bagging device and a bagging system, and belongs to the technical field of agricultural automation. The fruit bagging device is novel and reasonable in structure, the paper bag binding mechanism and the paper bag taking mechanism are arranged on the main body rack in an integrated mode at the same time, the ingenious matching design of the paper bag binding mechanism and the paper bag taking mechanism is utilized, automatic bagging can be achieved, and efficient and accurate fruit bagging can be achieved in combination with an intelligent control system. The production efficiency is remarkably improved, the time and labor cost required by manual operation are reduced, the protection degree of the fruits is improved, and the fruits are prevented from being affected by diseases and insect pests and environmental factors in the growth process. In addition, due to automatic bagging operation, the damage rate of the fruits is reduced, the consistency of the appearance and quality of the fruits is ensured, and the market competitiveness is enhanced. The bagging system provided by the invention comprises the fruit bagging device and has all the characteristics of automatic bagging of the fruit bagging device.

The present invention discloses a roller-type double-action finger-clamp precision seed drill, belonging to the technical field of seeding equipment. The seed-picking assembly includes a paddle, a second elastic element, and a finger clamp. The finger clamp includes two finger clamps, namely an active finger clamp and a passive finger clamp. The middle parts of the two finger clamps are hinged and the hinge point is fixed to the seeding disk. The second elastic element is used to push the heads of the two finger clamps to rotate in directions away from each other. During the rotation of the seeding disk, when the finger clamp rotates to enter the seeding opening, the passive finger clamp rotates under the action of the second elastic element to unload the seeds. When the finger clamp leaves the seeding opening, a cam drives the active finger clamp to rotate, causing the head of the passive finger clamp to extend into the shell. In the present invention, after the seeds are picked up by the finger clamp, they are clamped and protected by the two finger clamps, thereby separating from the inner wall of the shell. Therefore, when the finger clamp continues to rotate, the seeds no longer rub against the inner wall of the shell, which is beneficial to protecting the seeds and reducing the friction damage they suffer, which is beneficial to improving the survival rate of the seeds.

The present invention relates to tomato plants comprising two copies of an allele associated with enhanced resistance to ToBRFV infection. The invention also relates to seeds and parts of said plants, such as fruits. The invention further relates to methods of making, identifying and using such seeds and plants.

The invention relates to the technical field of agricultural bagging machines, in particular to a young fruit cultivating bag bagging machine and a using method.The young fruit cultivating bag bagging machine comprises a bag storage bin, a bagging device, a conveying device and a control handle, the bagging device is arranged on the lower portion of the outer side of the bag storage bin, and the conveying device is arranged between the bag storage bin and the bagging device; the bagging device comprises a front baffle and a front arm, rotating devices are arranged at the tail ends of the front baffle and the front arm to form a single-side opening structure, and heaters and magnetic blocks are arranged at the front ends of the opening surfaces of the front arm and the front baffle; the bag storage bin comprises a bag storage box, a bag storage box cover is hinged to the top of the bag storage box, a spring is inwards arranged on the bag storage box cover, a lower cover plate is arranged at the bottom of the spring, the conveying device comprises a conveying belt for conveying fruit cultivating bags, and the control handle is arranged at the bottom of the bag storage box. The labor intensity of workers is reduced, and good popularization and application values are achieved.

The invention relates to the field of traditional Chinese medicinal material processing, in particular to traditional Chinese medicinal material treatment equipment for wash supplies. Traditional Chinese medicine treatment equipment for wash supplies comprises a fixing frame, a water washing tank, a first conveying belt and a second conveying belt installed on the fixing frame. A rinsing bath is mounted on one side of the fixing frame; a first conveying belt is mounted on the fixing frame; a second conveying belt is installed on the fixing frame and located on the lower left portion of the first conveying belt. According to the loquat leaf screening device, diseased leaves recognized by the camera are grabbed and removed through the arranged grabber, the overlapped loquat leaves are grabbed and separated, and the placing state of the loquat leaves is adjusted, so that the screening efficiency is improved, and smooth proceeding of subsequent brushing operation is guaranteed; and the air exhaust piece is arranged at the third roller to exhaust floating fluff, so that pollution to the loquat leaves and the surrounding environment can be reduced.

The invention discloses a method for estimating overground biomass of a fresh songarus apetalus plant through photography. The method comprises the steps that five-lens oblique photography equipment obtains images of the fresh songarus apetalus plant land in the front view direction and the front, back, left and right directions; based on an improved CatBoost algorithm and the geographic position, the diameter at breast height, the crown breadth and the tree height of each tree, a geographic position weighted tree growth parameter nonlinear mapping model is constructed, and the tree growth parameter nonlinear mapping model is used for obtaining the diameter at breast height according to different geographic positions, the tree heights and the crown breadth; acquiring an image of a to-be-estimated fresh songarus apetala plant field in front view and front, back, left and right directions; the predicted diameter at breast height and the corresponding tree height are obtained from the obtained image, and the above-ground biomass of the fresh songarus apetalus plant of the image is obtained through calculation of the predicted diameter at breast height and the corresponding tree height based on a different-speed growth equation. According to the method, the overground biomass of the fresh songarus apetala plants can be estimated through low-cost and high-efficiency photography.

The invention relates to a tea leaf picking point positioning method based on virtual and real depth fusion, and belongs to the technical field of intelligent tea leaf picking. According to the method, through combination of an RGB-D camera, deep learning and biomorphological modeling, accurate positioning of a picking point and picking suitability in a complex tea garden environment is realized. According to the method, through multi-sensor information fusion, the growth state, morphological characteristics and environmental data of the tea leaves are obtained, machine vision and a deep learning model are combined, picking key points are accurately positioned, the picking opportunity is judged through a growth model, and therefore a more efficient and more intelligent tea leaf picking solution is provided. Through deep learning and biomorphic modeling technologies, growth characteristics and real-time image data of tea trees are comprehensively utilized, the accuracy and efficiency of tea leaf picking are greatly improved, and intelligent upgrading of the tea industry is further promoted.

The invention provides a digging and pulling combined type ginger harvester and a working method, relates to the field of ginger harvesters, and aims to solve the problem that ginger blocks are easy to mechanically damage when ginger is harvested at present, a combined mode of digging and clamping and pulling is adopted, a digging shovel loosens soil through a rotary digging action, conditions are created for ginger seedling extraction, and then the ginger seedlings are harvested; meanwhile, through the cooperation of flexible clamping and lifting effects of the clamping conveying channels on ginger seedlings, stable extraction of the whole ginger is achieved, the situation that an excavating component directly collides with ginger blocks to cause damage is avoided, a flexible clamping space is formed through opposite arrangement of the clamping conveying chains, the ginger seedlings can be reliably fixed, the ginger blocks cannot be extruded, and therefore the ginger seedlings can be stably extracted. The floating support which is obliquely installed can adapt to field terrain fluctuation, and the stability of clamping and conveying is kept; the subsequent ginger seedlings are stably transferred through the clamping side throwing channel, falling or collision in the conveying process is avoided, and the damage risk is further reduced.

According to the technical scheme, the edible mushroom cultivation square cabin with the temperature detection function is characterized in that the edible mushroom cultivation square cabin comprises a cultivation square cabin body, a plurality of supporting frameworks are evenly and fixedly installed on one side of the interior of the cultivation square cabin body in the length direction, and each supporting framework is of a truss structure formed by welding rectangular steel pipes; the distance between every two adjacent supporting frameworks ranges from 1.5 m to 2 m, the bottom of each supporting framework is fixedly connected with the bottom face of the cultivation square cabin through an expansion bolt, the top of each supporting framework is fixedly welded to the top face of the inner side of the cultivation square cabin, and the supporting frameworks are used for enhancing the deformation resistance of the cultivation square cabin and dispersing top loads. Meanwhile, linkage with environment monitoring data is achieved, the film cloth folding and unfolding amplitude is automatically adjusted according to temperature and humidity changes, environment fluctuation is rapidly responded, and temperature and humidity unbalance in the cultivation square cabin is avoided.

The invention relates to a plant directional growth device for garden engineering, and belongs to the technical field of garden gardening. The device comprises a cultivation box (1), planting pipes (2) are arranged in the cultivation box (1), a plurality of cultivation grooves (3) are formed outside the planting pipes (2), water supply pipes (4) are arranged in the cultivation grooves (3) in a penetrating mode, and the ends, away from the cultivation grooves (3), of the water supply pipes (4) extend into the planting pipes (2) and extend towards the top ends of the planting pipes (2); a humidity detector (5) is inserted into the bottom of the cultivation groove (3), and a plant guiding mechanism is arranged above the cultivation groove (3) in a sliding mode. According to the device, the multiple cultivation grooves (3) are formed in the side wall of the planting pipe (2), the plant guiding mechanism is arranged above the cultivation grooves (3), multiple plants of the same kind or different kinds can be cultivated at the same time, the orientation and the growth direction of the top ends of the plants can be controlled, and plant shaping cultivation is achieved. The problems that in the prior art, the modeling efficiency is low, and mechanical damage is caused to branches and trunks of plants are solved.

The invention relates to the technical field of mushroom planting, in particular to a mushroom planting system and a control method thereof.The mushroom planting system comprises a mushroom planting chamber, and a sealing door is arranged on one side of the mushroom planting chamber; the cultivation frame is located in the mushroom planting chamber, the cultivation frame is of a latticed frame structure, and multiple rows of cultivation frames are arranged in the mushroom planting chamber; the monitoring system is composed of a walking mechanism capable of moving on the cultivation frame and an image acquisition device; and the temperature control system consists of a plurality of temperature sensors and a central refrigerator which are uniformly distributed. By the adoption of the technical scheme, the monitoring unit can monitor the mushroom growth condition of each planting area on the cultivation frame, then the temperature sensor, located in the area, of the temperature control system feeds the mushroom growth condition back to the central refrigerator, the temperature of the area is adjusted, and the temperature meets the mushroom growth requirement.

The invention provides an edible fungus cultivation material with pilose antler mushroom residues as a raw material and application of the edible fungus cultivation material, and belongs to the technical field of edible fungus cultivation. The invention provides an edible fungus cultivation material taking pilose antler mushroom dregs as a raw material, which is characterized by comprising the following components in percentage by mass: 70-90% of pilose antler mushroom dregs and 10-30% of chaff. The edible mushroom cultivation material prepared from the pilose antler mushroom residues is applied to artificial cultivation of straw mushrooms, tricholoma matsutake and bamboo fungi, can effectively reduce the production cost of the straw mushrooms, the tricholoma matsutake and the bamboo fungi, can improve the yield of the mushrooms and the utilization value of the pilose antler mushroom residues, can also improve the nutritional ingredients and microbial structures of soil, and plays a role in partially replacing chemical fertilizers.

The invention discloses a solanaceous vegetable seed seedling raising device and a seedling raising method thereof, and relates to the technical field of seed seedling raising, the solanaceous vegetable seed seedling raising device comprises a seedling raising frame, six seedling raising plates are arranged on the seedling raising frame, and a plurality of leaking holes are formed in the bottoms of the six seedling raising plates; the seedling raising frame is connected with the seedling raising tray through a transmission mechanism and a vertical rotating mechanism. Through collaborative innovation design of the transmission mechanism, the vertical rotating mechanism, the touch mechanism, the material receiving mechanism and the linkage mechanism, remarkable breakthrough is made in the aspects of space utilization, irrigation accuracy, material receiving and dumping automation and the like, and an efficient, intelligent and environment-friendly solution is provided for solanaceous vegetable seed seedling raising.

The invention provides a fresh tobacco leaf chlorophyll content integrated model prediction method, medium and system, and belongs to the technical field of tobacco leaf detection.The method comprises the steps that transmission spectrums of fresh tobacco leaves with different maturity degrees are collected and subjected to black and white correction; dividing the leaf into six areas, collecting spectrums, and calculating an average value; carrying out multiple pretreatments on the original spectrum and dividing a data set; analyzing and establishing a relationship between the chlorophyll content and the spectrum based on a photosynthetic pigment absorption mechanism, and screening key wavelengths; the FMR-NSGA multi-objective optimization algorithm is fused with the F test and mutual information method to screen characteristic wavelengths; dynamically eliminating redundant features by using a recursive feature elimination method; establishing a parameter mapping function, and automatically determining a model hyper-parameter according to the wavelength importance index; a Stacking framework is constructed, hyper-parameters are dynamically optimized by adopting a grey wolf optimization algorithm, the prediction precision is improved, and the technical problem of rapid and accurate prediction of the chlorophyll content of the fresh tobacco leaves is solved.

The invention discloses an automatically-controlled germinated brown rice machine, which comprises a shell, the side wall of which is provided with a ventilator; and the inner shell is fixedly installed in the outer shell, and a plurality of air holes are formed in the shell wall of the inner shell. According to the device, the three constant-temperature spraying mechanisms with different working temperatures are arranged to provide first-time preheating spraying, second-time preheating spraying and standard constant-temperature spraying for the brown rice, the first constant-temperature spraying mechanism provides a certain preheating effect for spraying of the brown rice so as to provide certain preheating adaptation for heating of the brown rice on one hand, and on the other hand, the first constant-temperature spraying mechanism provides a certain preheating effect for spraying of the brown rice on the other hand; the third constant-temperature spraying mechanism is used for carrying out proper cooling treatment on the brown rice wetted by the third constant-temperature spraying mechanism, so that the germination temperature of the brown rice is always within a set germination temperature threshold value, and the brown rice can effectively absorb moisture and heat and start to germinate.

The invention discloses a processing method of germinated brown rice capable of promoting sleep, which comprises the following steps: crushing rice bran into 150-250-mesh powder, adding a calcium-containing aqueous solution of which the mass is 15-25 times of that of the powder to soak the powder, and preserving heat to 30-37 DEG C to obtain a culture solution; adding weakly acidic warm water at 30-37 DEG C into the brown rice, soaking for 8-12 hours, and filtering out the brown rice to obtain wet brown rice; the wet brown rice is evenly laid on a culture container with wetting cloth laid at the bottom, the wetting cloth is laid on the surface of the wet brown rice, the culture container is placed in a culture room with the environment temperature being 30-37 DEG C to be cultured for 24-48 h, and in the culture process, the culture solution is sprayed to the surface of the wet brown rice in a segmented mode; and taking out the wet brown rice in the sealed container, washing for 10-15 seconds, and drying at low temperature to obtain the GABA-enriched germinated brown rice. The method can effectively increase the GABA content of germinated brown rice so as to achieve the effect of promoting sleep.