2214 results about "Cereal grain" patented technology

The invention relates to the technical field of grain detection, and discloses a grain broken rice rate online detection method and system based on image analysis. A grain broken rice rate online detection method based on image analysis comprises the steps of intelligent illumination control and high-speed synchronous imaging, self-adaptive image enhancement based on reinforcement learning, multi-stage parallel particle detection and segmentation, multi-modal feature deep fusion, robust classification based on ensemble learning, intelligent quality control and process optimization. And continuously learning and updating knowledge. A clear image is obtained through a multi-angle linear array camera and a stroboscopic light source, a reinforcement learning agent is adopted to carry out adaptive image enhancement, a deep learning network is used to carry out particle detection segmentation, multi-dimensional features are extracted, accurate identification is realized through an integrated classifier, and a digital twin model is established to carry out process parameter optimization. According to the invention, accurate online detection of the broken rice rate of grains can be realized in a high-speed flowing state, and the detection efficiency and accuracy are improved.

The invention relates to the technical field of grain sorting and cleaning, in particular to a multi-modal sensor fusion-based grain quality dynamic grading and stone removal cooperative control method, which comprises the following steps of: 1, synchronously collecting by a multi-modal sensor, and generating a synchronous pulse through a high-speed photoelectric trigger when grains fall, a linear array camera is triggered to collect grain surface morphology sequence images, a near-infrared spectrometer collects an absorbance curve and moisture content data, and a piezoelectric weighing platform collects impact pressure waveforms; step 2, dynamic grading decision making; step 3, generation of collaborative parameters; 4, executing and feedback optimization, and issuing the generated parameters to a vibrating screen, a fan and an inclination angle adjusting mechanism to execute control; and detecting the proportion of residual impurities at a stone removal outlet, and triggering the cascade decision-making model to retrain when the proportion exceeds the limit continuously. Through the design, the grain grading and stone removing efficiency and accuracy are remarkably improved, and high-quality product experience and value-added benefits are provided for users.

The disclosure relates to the system and methods for generating a guidance path for automated navigation of large agricultural equipment. Vehicle path data from leading vehicles can be recorded, stored or inputted into the system for generation of guidance paths offset from the swaths traversed by the leading vehicle. Combines, planters sprayers and other vehicles utilizing guidance system can be used to record leading vehicle data for use by the following vehicle in real time or in subsequent cycles. Enterprise systems can manage multiple grain carts and / or combines or other vehicles to maximize efficiency.

A grain loss detector disposed on a combine harvester to detect grain loss within crop material being discharged by a separating or cleaning stage component of combine harvester while harvesting a crop. The grain loss detector includes at sensor generating sensor data output. A computing device receives the sensor data output for processing via software which compares the sensor data output against crop data characteristics to identify any grain kernels from among material other than grain. In one embodiment the sensor is a camera and the generated sensor data output is a digital image frame capturing the grain kernels and material other than grain passing the camera.

An automated grain filling system including a sensor and a processor. The sensor is configured to detect at least a portion of an upper perimeter of a receiving container and at least a portion of an upper surface of a grain mound in the receiving container. The processor is configured to compare the detected portion of the upper perimeter and the detected portion of the upper surface, and direct the operation of a grain transfer element. The grain transfer element is configured to transfer grain from a supplying container to the receiving container. The directed operation of the grain transfer element is based at least in part on a result of the comparison of the detected portion of the upper perimeter and the detected portion of the upper surface.

A grain unloading monitoring system for use in operations moving grain from a grain cart to a grain truck or container utilizing at least one sensor configured to monitor a grain level within a grain container, a processor in electronic communication with the at least one sensor, and a command module in electronic communication with the processor. The command module is configured to command one or more components on a grain cart or grain container to distribute unloaded grain and prevent overfilling of the grain container based on the monitored grain level and grain fill rate.

Disclosed herein are engineered rhizobia having nif clusters that enable the fixation of nitrogen under free-living conditions, as well as ammonium and oxygen tolerant nitrogen fixation under free-living conditions. Also provided are methods for producing nitrogen for consumption by a cereal crop using these engineered rhizobia.

The present disclosure provides non-intergeneric remodeled microbes that are able to fix atmospheric nitrogen and deliver such to plants in a targeted, efficient, and environmentally sustainable manner. The utilization of the taught microbial products will enable farmers to realize more productive and predictable crop yields without the nutrient degradation, leaching, or toxic runoff associated with traditional synthetically derived nitrogen fertilizer, by mitigating or eliminating the need for exogenous nitrogen-containing fertilizers. The remodeled microbes have unique colonization and nitrogen fixation abilities, which enable the microbes to deliver nitrogen to a cereal plant in a spatially targeted (e.g. rhizospheric) and temporally targeted (e.g. during advantageous stages of plants life cycle) manner. The microbes are able to replace the standard agricultural practice of sidedressing and enable a more environmentally sustainable form of farming. The present disclosure also provides methods of using non-intergeneric remodeled microbes, for example, to fix atmospheric nitrogen by reducing or eliminating the need for exogenous nitrogen-containing fertilizers, to increase yield, and to reduce infield variability in the yield.

A method and system for mass producing cereal pieces provides images on the cereal pieces. In particular, the invention is directed to incorporating a printing operation into a cereal production process, wherein a series of printing operations are performed for each cereal piece such that a common image is printed on an exposed face portion and then re-printed multiple times on the image in order to effectively establish a sharp, discernible image on the resulting cereal piece. In addition, the process includes performing each printing operation in a timed and controlled sequence with a cereal piece cutting operation such that the final image is located entirely within a periphery of the resulting cereal piece. In a preferred embodiment, the images constitute emojis.

The invention relates to the technical field of grain grinding, in particular to a raw material crushing device for grain meal replacement powder and a crushing energy-saving control method. The method comprises the steps of firstly obtaining pressure data and vibration data of a raw material crushing device; further obtaining a change coefficient of each piece of pressure data according to the change characteristics of the pressure data with adjacent time sequences in combination with the offset characteristics of the pressure data and the minimum pressure data; further correcting the pressure data according to the variation trend of the vibration data at the same moment and the difference characteristic of the variation coefficient of the pressure data to obtain corrected pressure data; finally, the feeding depth is adjusted according to the fluctuation characteristics of the corrected pressure data, the problems of uneven pressure and mechanical jamming caused by one-time decompression are avoided, the raw materials are evenly treated in the scattering process, the mechanical load is reduced, energy is saved, and the scattering efficiency is improved.

The invention provides an automatic digging method of an excavator based on image recognition, which is realized based on a material pool and the excavator, a laser radar and a binocular camera are arranged on the upper edge of the material pool, and the excavator comprises a digging arm, a double-bucket assembly and a control unit. The method comprises the following steps: determining a peak initial position by a laser radar material pile three-dimensional point cloud, and performing secondary calibration by a camera to obtain a peak final position and a slope angle; the control unit switches a first / second digging mode according to the distance between the wave crest and the excavator, the first mode controls the excavator bucket to conduct wall-attached digging and conduct bottoming detection through the pressure sensor, and the second mode adjusts the angle of the excavator bucket to conduct digging according to the slope angle; when no wave crest exists, a corresponding digging scheme exists, and the point cloud is updated after digging each time; the wave crest positioning precision and the environmental adaptability are improved, the digging efficiency is optimized, manual intervention is reduced, and the device is suitable for digging of materials such as cereals and gravels.

The invention discloses a cereal quality analysis method based on prediction-correction double neural network fusion. The cereal quality analysis method comprises the steps of constructing a standard sample data set, constructing a spectrum screening method, constructing a correction sample data set, constructing a prediction neural network model, constructing a correction neural network model and evaluating quality components. Through dual-network fusion collaborative design of the prediction neural network and the correction neural network, the problems of overfitting, weak generalization ability and the like of a traditional model in a small sample scene are effectively solved, and the stability and prediction accuracy of the model are improved.

The present disclosure relates to low density, high protein, grain-based ready-to-eat food pieces, compositions including such food pieces, and methods of making such food pieces. The pieces include a grain flour in an amount of about 28% to about 55% by dry weight, about 28% to about 40% by dry weight protein, where at least a portion of the protein ingredients include a protein with a PDCAAS greater of at least 60%, such as pea protein, fava bean protein, or soybean protein, and about 10% to about 35% by dry weight low DE carbohydrate.

A system and method for generating a guidance path for automated navigation of large agricultural equipment. Vehicle path data from leading vehicles can be recorded, stored or inputted into the system for generation of guidance paths offset from the swaths traversed by the leading vehicle. Combines, planters sprayers and other vehicles utilizing guidance system can be used to record leading vehicle data for use by the following vehicle in real time or in subsequent cycles. Enterprise systems can manage multiple grain carts and / or combines or other vehicles to maximize efficiency.

The invention relates to the technical field of analysis and detection, in particular to a fluorescent switch sensor based on quantum dot-nano porphyrin and application. The specific technical scheme is as follows: the fluorescent switch sensor is constructed by utilizing cadmium telluride quantum dots modified by mercaptosuccinic acid and a 5, 10, 15, 20-tetra (4-nitrophenyl) porphyrin nano material modified by a cationic surfactant hexadecyl trimethyl ammonium bromide. And the method has a good enrichment effect on zearalenone. The sensor has high sensitivity, high selectivity and anti-interference performance, can accurately analyze trace zearalenone in actual grain samples (corn, rice, soybean and the like), and has the advantages of simplicity in operation, low detection limit, high sensitivity, low cost and the like.

A grain cleaning system for a combine harvester having a transmitter adapted to transmit a base signal at a known frequency and one or more spaced receivers for detecting signals of a different frequency as reflected from airborne grain and other materials within the duct of the grain cleaning system. An Electronic Control Unit modulates the base signal and the reflected signals to obtain Doppler signals or frequencies from which an average particle velocity is determined. The particle velocity is used as an input parameter for the generation of control signals for the adjustment of various working units of the combine harvester including, by way of example, the fan and sieves.

The invention relates to the technical field of seed selection, and provides a crop seed selection system which comprises a screening device, the screening device is detachably connected with a first air screening machine, the screening device is used for separating seeds from seed shells and dust, and the screening device comprises an elevator, a winnowing mechanism and a cyclone separator; the elevator is arranged on the side close to the first air screening machine, grains enter the elevator after being screened in the winnowing mechanism, the winnowing mechanism is used for separating seed husks and dust in the grains, the cyclone separator communicates with the winnowing mechanism, the cyclone separator is used for separating and collecting the seed husks and the dust in the winnowing mechanism, and the cyclone separator is used for separating and collecting the seed husks and the dust in the winnowing mechanism. The airtight device is detachably connected with the discharging port of the elevator, the airtight device is used for controlling the air inlet in the elevator, then the air inlet direction of the winnowing mechanism is adjusted, and the technical problem that in the prior art, air pollution is large in the crop seed selecting process is solved.

The invention relates to the technical field of grain storage, and discloses a grain impurity treatment device of a static grain dryer, which comprises a dryer body, and the upper surface of the dryer body is fixedly connected with an E-shaped frame; the lower surface of the impurity removing box is fixedly connected with the upper surface of the E-shaped frame, the bottom of the impurity removing box is open, a feeding port is formed in the outer surface of the impurity removing box, a first partition plate and a second partition plate are fixedly connected to the inner wall of the impurity removing box, and the second partition plate is located on the side, away from the feeding port, of the first partition plate. A screen drum is rotationally connected between the first partition plate and the impurity removing box, and center shafts are fixedly connected to the two opposite sides in the impurity removing box. The grain impurity treatment device of the static grain dryer can effectively solve the problems that in the prior art, flowing large-particle impurities easily drive part of grain particles to be jointly discharged from the impurity discharging opening of the screen drum, so that actually available grains are reduced, and the grain yield and the overall income are reduced.

A forage harvester with a camera system. The camera system is configured to detect and evaluate a harvested material flow processed by working units of the forage harvester. The harvested material flow comprises whole grains, and comminuted grains as grain components and non-grain components. The camera system comprising an image sensor and an objective arranged or positioned upstream from the image sensor. The image sensor, arranged or positioned opposite the viewing window, is positioned in a housing which is arranged or positioned on a discharge chute of the forage harvester and in which a transparent viewing window is arranged or positioned, past which the harvested material flow flows. Light beams from a first light source are directed onto the harvested material flow. Further, an image analysis apparatus receives images from the image sensor of the harvested material flow for evaluation.

The invention belongs to the technical field of grain loading supervision, and particularly relates to a grain transport vehicle grain loading state detection system and method based on visual identification, and the system comprises a visual collection module, an image processing and analysis module, a loading state evaluation module, an intelligent sampling auxiliary module and a cloud management and control module. Real-time pictures of grains in the vehicle are captured through the visual acquisition module, the image processing and analyzing module generates a three-dimensional distribution image of the grains based on the real-time pictures, the loading state evaluation module judges whether the grain loading state of the grain transporting vehicle is qualified or not according to the grain distribution image, the loading problem can be found and corrected in time, and the working efficiency is improved. The intelligent sampling auxiliary module automatically plans the sampling path and depth of the intelligent sampling machine according to the grain loading state information synchronized by the cloud management and control module, so that accurate and efficient automatic intelligent sampling is realized, and the accuracy of grain quality detection is improved.

The invention provides bacillus velezensis H5 capable of producing broad-spectrum antibacterial substances and application of the bacillus velezensis H5. The preservation number of the bacillus velezensis H5 in the China General Microbiological Culture Collection Center is CGMCC No.32671. The bacillus velezensis H5 is separated from sea mud in a specific sea area, can generate antibacterial substances with broad-spectrum antibacterial activity, and mainly comprises bacitracin, surfactin and mycostatin. The antibacterial substance of the bacillus velezensis H5 is applied to preservation of perishable fruits such as grapes and the like and mildew prevention of cereals such as corn and the like, and can effectively inhibit spoilage of the perishable fruits and synthesis of mycotoxins such as aflatoxin and the like, and the action effect of the antibacterial substance is obviously superior to that of a food preservative natamycin. The invention provides a novel, green, safe and broad-spectrum antibacterial substance for preservation and fresh-keeping of fruits and mildew prevention of grains, and has important application value.

The invention discloses a preparation method of a whole-bean rumex hanus nutrient plant enzyme, which comprises the following steps: S1, taking soybeans, and preparing whole-bean minced soybean; taking rumex hanus to prepare rumex hanus whole pulp; taking grains, and preparing whole grain pulp paste; taking fruits and vegetables, and preparing fruit and vegetable puree; s2, mixing the whole-bean minced soybean, the rumex hanus whole pulp, the whole-grain minced pulp and the fruit and vegetable primary pulp obtained in the step S1 to obtain whole-bean rumex hanus nutrient plant enzyme primary pulp, and then sequentially performing enzymolysis by combining cellulase with pectinase, amylase, saccharifying enzyme and protease; and S3, taking the whole-bean rumex hanus nutrient plant enzyme primary pulp subjected to enzymolysis in the step S2, performing anaerobic fermentation by using saccharomycetes and / or distiller's yeast under the negative pressure condition of-0.1 to-0.06 MPa, and filtering to obtain the whole-bean rumex hanus nutrient plant enzyme. The invention further provides the whole-bean rumex hanus nutrient plant enzyme. According to the technical scheme, the defects of traditional bean products, rumex hanus food and edible plant enzymes can be overcome.

The invention relates to the technical field of grain processing, in particular to a grain drying parameter regulation and control system based on correlation analysis, which comprises an identification module for acquiring and processing running state information of a grain dryer and physical attributes of grains and identifying the types of the grains; the strategy module is used for generating a corresponding drying strategy according to the initial physical attributes of the grains and the external environment information; the adjusting module is used for adjusting working parameters of the grain drying machine in real time; the monitoring module is used for monitoring the drying process of the grain drying machine; and the display module is used for displaying the processed running state information and the drying process of the grain drying machine. According to the method, the image information and the physical attributes of the grains are obtained, the grain types are accurately recognized through the machine learning algorithm, therefore, the drying efficiency and quality can be improved, meanwhile, the drying parameters are dynamically adjusted according to the real-time data and the external environment information, and it is further ensured that the drying process is in the optimal state all the time.

The invention discloses a three-dimensional layered grain intelligent storage warehouse which comprises an intelligent warehouse body, a transport cart mechanism is arranged in the intelligent warehouse body, a three-dimensional layered frame mechanism is further arranged in the intelligent warehouse body, a stacking machine mechanism is further arranged in the intelligent warehouse body, and a storage mechanism is placed in the three-dimensional layered frame mechanism. A sealing mechanism is arranged above the storage mechanism, and a gas control mechanism is arranged on the sealing mechanism; through mutual cooperation of a bottom support, a baffle, a fence and a sealing mechanism of the storage mechanism, good sealing and gas exchange effects are achieved, a gas valve detection assembly monitors temperature and humidity in real time, and through cooperation of a five-way electric control valve and a guide pipe, an air adjusting assembly, a vacuum adjusting assembly and the like, precise regulation and control of storage environment gas are achieved; dew can be discharged in time, the air humidity can be adjusted, a stable storage environment is created, grain mildew and insect damage are effectively prevented, the grain quality is guaranteed, and the grain storage period is prolonged.

The invention provides a composition for assisting in reducing blood sugar and improving insulin resistance and a preparation method of the composition, and relates to the technical field of functional fiber processing. The composition for assisting in reducing blood sugar and improving insulin resistance comprises the following raw materials in parts by weight: 10-15 parts of depolymerization type composite cereal fibers, 3-5 parts of konjac fibers, 3-5 parts of psyllium husk powder, 2-3 parts of sesame powder, 1-2 parts of xylitol and 0.1-0.5 part of vitamin C, the mass ratio of wheat fiber to corn fiber to sweet potato fiber to pea fiber in the depolymerization type composite grain fiber is (25-30): (35-40): (20-25): (10-15). The composition disclosed by the invention can assist in reducing blood sugar and has a good effect of improving insulin resistance.

The invention relates to a grain unmanned sampling quality inspection device and process, and belongs to the technical field of grain detection, and the grain unmanned sampling quality inspection device comprises a sampling mechanism used for sampling grains; the reserved sample packaging machine is used for packaging the reserved sample grains; the sample mixing and separating machine is respectively connected with the sampling mechanism and the reserved sample packaging machine and is used for mixing and separating the grains sampled by the sampling mechanism, and the reserved grains are conveyed to the reserved sample packaging machine to be packaged; an impurity unmanned inspection machine; an unmanned intelligent inspection machine; the inspection result inquiry machine is used for acquiring grain quality information; and the pneumatic conveying mechanism is used for conveying grains. Compared with a traditional manual or semi-automatic inspection mode, the inspection efficiency is greatly improved, manual intervention is reduced, and the labor intensity is reduced.

The invention relates to the technical field of grain planting auxiliary devices, and discloses an efficient soil turning device for grain planting, which comprises a vehicle body, a fertilization box is fixedly connected to the middle of the upper end surface of the vehicle body, support plates are fixedly mounted on the left and right sides of the lower end surface of the vehicle body, and wheels are rotatably mounted in inner cavities of the support plates; electric push rods are fixedly mounted on the front side and the rear side of the lower end face of the vehicle body, a mounting base is fixedly mounted at the piston rod ends of the electric push rods, and the soil loosening mechanism is arranged in an inner cavity of the mounting base; the fertilizing mechanism is arranged in an inner cavity of the fertilizing box; the stirring mechanism is arranged on the side wall of the fertilizing box. By arranging the soil loosening mechanism, the electric push rod and the like, the function of loosening soil is achieved, meanwhile, the fertilizer applying mechanism and the stirring mechanism are arranged, fertilizer particles can be added into the crushed soil while the soil is loosened, and the practicability of the whole device is improved.

The utility model discloses an automatic grain classifier which comprises a machine frame, and a storage bin, a distributing mechanism, a moving screening mechanism and a feeding mechanism are arranged on the machine frame from top to bottom. The material distributing mechanism comprises a material distributing bin and a material bin door, and opening or closing of the outlet end of the material distributing bin is achieved through the material bin door; the moving screening mechanism comprises a moving screen, the middle section of the bottom of the moving screen is fixed to a rotating shaft, the rotating shaft is rotationally installed on the rack, the moving screen comprises a screen mesh and a screen frame located around the screen mesh, the screen frame and the screen mesh jointly define a screening cavity with the top end open, and discharging gaps are reserved between the left end and the right end of the screen mesh and the bottom of the screen frame. The rotating shaft is driven by the moving screen driving mechanism to rotate, so that the moving screen is driven to swing left and right, and materials in the screening cavity are screened. The feeding mechanism comprises material guiding pipes which are oppositely arranged left and right, and material receiving boxes are arranged below the outlet ends of the bottom ends of the two material guiding pipes correspondingly. Compared with the prior art, the grain sorting device has the advantage that automatic sorting of various grains is achieved.

The utility model relates to an unloading plate structure and an anti-breaking unloader for grain quality inspection, and belongs to the technical field of unloaders. The air suction pipe is connected with the negative pressure air suction pipe and conveys grains through negative pressure; the grain conveying pipe is used for conveying grains; the discharging plate is arranged at an outlet of the discharger shell, and the discharging plate is movably connected with the discharger shell; and the driving part is used for driving the unloading plate to rotate. The unloading plate and the driving part are arranged in the device, and the driving part is matched with the negative pressure system, so that when grains are stacked to reach the preset weight, the gravity triggers the unloading plate to be opened stably, and the situation that the grains are broken due to instant impact, and grain detection data are influenced is avoided.

A cover-after grain tarp is disclosed. The cover-after grain tarp includes, for example, a tarp body having a plurality of tarp sections joined together at one or more seams, each tarp section comprising a plurality of tarp panels having an outer terminal edge spaced between opposing converging edges and an edge panel secured along its length to an adjoining one of the plurality of tarp panels. The edge panel is configured for securing to hardware of a center tower structure at a grain storage location.