163results about How to "Improve farming efficiency" patented technology

The invention discloses a pig single-view three-dimensional reconstruction method based on deep learning, and the method is called Magfup. In order to solve the problems that single-view three-dimensional reconstruction viewpoint learning is unstable and training is difficult due to lack of real three-dimensional data, an implicit-explicit combined three-dimensional representation method is adopted, high-dimensional data features subjected to super-resolution optimization are combined, a high-density pig three-dimensional grid can be reconstructed only through a single image, and the problem that training is difficult is solved. And data acquisition cost and equipment requirements are reduced. According to the method, the three-dimensional grid surface is optimized through the Laplacian smoothing method, and the reconstruction quality is improved. According to the invention, the model can learn the general shape and posture characteristics of the pig, predicts the three-dimensional posture, shape and texture information of the specific pig, and more accurately and comprehensively reflects the behavior characteristics of the pig. Therefore, the method can adapt to complex and changeable environments and pig behaviors in a pig farm, and a more comprehensive and accurate data basis is provided for pig behavior analysis.

The invention relates to a shrimp feeding behavior prediction and automatic feeding method based on machine vision, which comprises the following steps: S1, identifying and analyzing the behaviors of shrimps: identifying the dynamic and overall behaviors of the steps of the shrimps through feature labeling and model training of the steps of the shrimps, and judging the resting, swimming and foraging behavior states of the shrimps; s2, identifying and analyzing the behavior state of the shrimps through the body labeling features, and combining with identification of residual feed in water to adjust a feeding strategy, reduce waste and reduce water treatment load; s3, the computing power center obtains real-time image frames of the underwater high-definition camera, after computing power analysis is applied, signals are sent to the feeder control center, feedback information is received, and signal linkage is achieved; and S4, video real-time monitoring and breeding data real-time display. According to the method, the training model for accurately identifying the prawn foraging behavior can be realized, the method can adapt to the complex and changeable underwater environment of the circulating water culture pond, the technical robustness is high, accurate identification can be realized, and the intelligent degree is high.

The invention discloses an intelligent aquaculture control system and method, and particularly relates to the field of aquaculture control. Environmental monitoring data of a culture water body is obtained, and whether the water quality of the culture water body meets a preset water quality requirement is analyzed and judged according to the data. When the water quality of the aquaculture water body does not meet the preset water quality requirement, the water body is automatically adjusted according to the water quality requirement data, and a water body optimization record is generated. And by analyzing the water body optimization effect, generating a water body state regulation and control effect record. And acquiring growth state data of the cultured organisms, comprehensively evaluating the health condition of the cultured organisms in combination with the water body regulation and control effect, and generating a growth health evaluation result. And when the evaluation result shows that the health risk exists, a health early warning notification is sent, and a corresponding management suggestion is provided for a manager, so that intelligent control and risk early warning in the culture process are realized, and the aquaculture efficiency and the health level of cultured organisms are improved.

The invention provides a fine-wool sheep genome selection method, which relates to the field of animal genetic breeding, and comprises the following steps: establishing a sheep genome reference group, and carrying out main phenotypic character determination on the sheep genome reference group; designing a liquid phase chip based on re-sequencing data of a plurality of sheep varieties, and performing fine-wool sheep genome selection to obtain GWAS prior information; estimating heritability of the genetic variance and the error variance to different characters based on an RRBLUP model, and obtaining a character heritability statistical result; performing genome estimation breeding value prediction analysis based on a character heritability statistical result; constructing a breeding target character according to the breeding target, and constructing a genome comprehensive breeding value estimation model based on the breeding target character; comprehensive breeding values of the sheep individuals are calculated based on a genome comprehensive breeding value estimation model, comprehensive breeding value ranking is carried out, and sheep seed selection and matching are carried out according to the comprehensive breeding values; and carrying out important economic character genome breeding value prediction analysis based on the GWAS priori information.

The invention discloses a chicken abnormal sound recognition method, system and device for a large-scale farm and a storage medium. The method comprises the following steps: acquiring sound data of a chicken as a first audio; taking the preprocessed first audio as a second audio; taking the second audio frequency after the secondary noise reduction as a third audio frequency; performing sound endpoint detection on the third audio, and taking an obtained effective sound fragment as a fourth audio; performing data enhancement on the fourth audio, and taking the fourth audio after data enhancement as a fifth audio; converting the audio clip of the fifth audio into a Mel spectrogram, extracting a corresponding first-order difference Mel spectrogram and a corresponding second-order difference Mel spectrogram based on the Mel spectrogram, and performing feature fusion to obtain corresponding three-channel Mel fusion features; and inputting the Mel fusion feature into a model for identification to obtain an event category result corresponding to the audio. According to the invention, abnormal chicken sounds in the chicken farm can be accurately identified, and the breeding efficiency is improved.

The utility model relates to an aquaculture mesh cage depth adjusting device, and belongs to the technical field of aquaculture. The device comprises a cable take-up and pay-off mechanism arranged on a ship body, and a hoist rope connecting the cable take-up and pay-off mechanism and a culture net cage, wherein the cable take-up and pay-off mechanism controls the depth position of the culture net cage in seawater by tightening or loosening the hoist rope. The utility model provides a depth adjusting device for an aquaculture mesh cage, and aims to meet the requirements of cultured organisms in different seasons and environmental conditions by accurately controlling the depth of the aquaculture mesh cage in the sea, so that the culture efficiency and the product quality are improved. Specifically, by tightening or loosening the hoist rope, the aquaculture mesh cage can be adjusted to be located in water bodies of different depths, and then the growth environment of cultured organisms is adjusted.

The invention relates to the technical field of culture, and discloses an intelligent ecological fish culture system which comprises culture equipment, feeding equipment, water quality monitoring equipment, fish outlet equipment and a controller. The breeding equipment comprises a breeding pond, a water collecting pond, a water quality purifying, filtering and sterilizing device and an oxygen-enriched water production device. The feeding equipment comprises a feed tank, an air compressor and a feed conveying pipe; the water quality monitoring equipment comprises a dissolved oxygen sensor, an ammonia nitrogen sensor and the like; the fish outlet equipment comprises a fish suction pump and a fish outlet pipe; the controller is electrically connected with the breeding equipment, the feeding equipment, the water quality monitoring equipment and the fish discharging equipment, and the controller controls the oxygen-enriched water production device according to data detected by the dissolved oxygen sensor and the ammonia nitrogen sensor, so that the concentration of dissolved oxygen in a water body in the breeding pond is controlled within a set range. The aquaculture equipment, the feeding equipment and the fish discharging equipment are integrated, the water quality of the aquaculture pond can be monitored, the water quality can be purified and sterilized, and it is ensured that the water quality meets the requirement.

The invention relates to a microalgae culture method which comprises the following steps: culturing microalgae species in the presence of a fat-soluble additive to obtain a culture solution containing floating layer microalgae; and harvesting the microalgae on the floating layer. The fat-soluble additive is introduced in the microalgae culture process, the concentration of a microalgae floating layer can be effectively improved, the viscosity of the microalgae is improved, and therefore the culture efficiency and the harvesting efficiency of the microalgae are remarkably improved.

The utility model discloses a multifunctional film-mulching seeding machine, belongs to the technical field of seeding machines, solves the problem that the existing seeding machine cannot complete all cultivation operations of seed seeding, and adopts the technical scheme that the multifunctional film-mulching seeding machine comprises a rack, the rack is provided with a pesticide spraying device, a rotary cultivator device, a ridging device, a seed rope seeding device, a fertilizing device, a drip irrigation tape laying device, a film laying device and an earthing device, the pesticide spraying device comprises a pesticide storage barrel and a pesticide spraying rod, the rotary cultivator device comprises a rotary tillage blade, and the seed rope seeding device comprises a seed rope disc, a seeding pipe and a seeding wheel. The fertilizing device comprises a fertilizer box, a fertilizer discharging box, a connecting pipe and a fertilizing shovel, the drip irrigation tape laying device comprises a storage disc and a laying wheel, the film laying device comprises a film erecting rod and a film spreading roller, the soil covering device comprises a soil covering roller and a soil covering disc, and a notch is formed in the surface of the soil covering roller. The seeder disclosed by the utility model can automatically finish all cultivation operations required by seed sowing.

The invention relates to an antibiotic-free feed additive for breeding crucian carps and a preparation method of the antibiotic-free feed additive, and belongs to the technical field of feed additives. According to the feed additive, seaweeds and Chinese herbal medicines are used as raw materials and are subjected to staged fermentation with compound probiotics, a phagostimulant is added, and freeze drying is performed to prepare the antibiotic-free crucian breeding feed additive, so that the prevalence rate of crucian can be reduced, the survival rate can be increased, and the growth of crucian can be accelerated; the problem of drug resistance caused by antibiotic abuse in crucian breeding in the prior art can be solved, and unification of high antibacterial activity, biological safety and environmental friendliness in crucian breeding is achieved.

The present invention discloses a method and system for accurately analyzing the phenotype of leopard gill perch based on deep learning. The key frame images of leopard gill perch are obtained through video monitoring, and the deep learning CNN model is used to identify fish schools, segment fish image areas and extract phenotypic features. A breeding cycle is selected, and the image area of ​​leopard gill perch is divided into sub-areas. The phenotypic features and preset variation feature data are calculated for feature differences to obtain variation characteristic values, and weights are assigned to each sub-area. The system stores the image and feature data of each identified target. In real-time fish school variation identification and statistical analysis, similarity calculations are performed between real-time targets and existing targets in the database to achieve repeatability detection and accurate target tracking of leopard gill perch. Through the present invention, rapid and accurate phenotypic analysis and target tracking of leopard gill perch can be achieved, and the accuracy of breeding analysis and breeding efficiency can be improved.

The invention discloses a live pig breeding equipment full life cycle monitoring management system, a medium and a terminal. The system comprises a user login module used for user authority management and data query; the data acquisition module is used for acquiring full-life-cycle data of intelligent equipment used for pig breeding; the data preprocessing module is used for preprocessing operation data of various intelligent devices monitored in real time by using the Internet of Things technology; the data storage module is used for storing various data information; the data analysis module is used for predicting and evaluating the state of the intelligent equipment by adopting a deep neural network model; the equipment state early warning module is used for setting an early warning rule and establishing an early warning mechanism according to the characteristics and business requirements of the equipment, and sending out early warning and corresponding measure notifications; the intelligent decision-making module is used for generating an equipment state evaluation report and generating a multi-dimensional data analysis report; and the display module is used for displaying the generated multi-dimensional data analysis report. The intelligent equipment is supervised, and the breeding efficiency and the management level are improved.

The fish feed feeding machine for fishery breeding relates to the technical field of feeding machines and comprises a positioning frame, a feed barrel is fixedly connected to the outer wall of the top end of the positioning frame, a driving seat is fixedly connected to the center in the positioning frame, and a feed scattering box is rotationally connected with the outer wall of the top end of the driving seat. The bottom end of the outer wall of the driving base is in penetrating connection with the center of the top face of the positioning frame, the center in the positioning frame is fixedly connected with the bottom end of the outer wall of the driving base, the center of the bottom face of the scattering box is in penetrating connection with the center of the top face of the driving base, and the top end in the driving base is rotationally connected with the center of the bottom face of the scattering box. Fish feed is thrown out along the edge of the feed scattering box through the centrifugal plates and the central conical barrel in the feed scattering box according to the centrifugal force principle, so that the fish feed can cover a wider area, more uniform feeding is achieved, and therefore the breeding efficiency is improved; and the balance of fish growth is ensured.

The invention discloses a saline-alkali soil improvement method based on a low-salt organic material. The method comprises six steps of saline-alkali soil detection, organic material selection, organic material pretreatment, organic material application, soil irrigation and soil pH value adjustment. According to the steps of organic material pretreatment and organic material application, it is ensured that the saline-alkali soil fertilization improvement effect is good, the method has the advantage of being good in improvement effect, and the problems that in the using process of an existing saline-alkali soil improvement method, in the using process, low-salt organic materials are inconvenient to efficiently improve the saline-alkali soil, and the soil quality is poor are solved. The problems that if low-salt organic materials cannot be fully utilized, the soil improvement effect may not be obvious, soil salinity cannot be effectively reduced, the soil structure cannot be effectively improved, supplement of the organic materials is lacked, the organic matter content of the soil is difficult to increase, and the fertility and the water and fertilizer retention capacity of the soil are affected are solved.

The invention discloses a PXYLP1 gene molecular marker combination related to the ratio of muscle fiber types in chicken leg muscles and its application in broiler genetic breeding, belonging to the fields of poultry genetic breeding and biotechnology. The molecular marker combination includes PXYLP1-SNP1 and PXYLP1-SNP2, which correspond to the 6475388th and 6478235th sites of chromosome 9 of the chicken reference genome bGalGal1.mat.broiler.GRCg7b version published by the Ensembl database, respectively, both of which are located in the second intron of the PXYLP1 gene, and the mutation types are T>C and A>G, respectively, and the corresponding registration numbers in the dbSNP database are rs739533409 and rs737019788. The molecular marker combination and the detection primer can be used to establish a molecular marker-assisted selection technology for the trait of the muscle fiber type ratio of broilers. By detecting the molecular marker combination in a breeding population, a chicken population with a higher red muscle fiber ratio in the leg muscle can be bred in a directional manner, thereby improving the meat quality of the variety and increasing the economic value of the variety.

The invention discloses a shrimp and crab feeding monitoring method and system based on a passive acoustic technology, and belongs to the technical field of aquaculture. According to the method, breeding acoustic signals are collected, shrimp and crab feeding acoustic signals are extracted through preprocessing, and then a feeding time-frequency distribution diagram is obtained through time-frequency analysis. A standard time-frequency distribution map library containing different feeding grades is constructed, an image hash technology is used for processing actual feeding signals and signals in the standard map library, fingerprints are obtained and matched, and therefore the feeding intensity of shrimps and crabs is accurately determined. According to the invention, the feeding activity of prawns and crabs can be accurately and effectively monitored, and the feeding strategy can be automatically adjusted according to the feeding intensity.

This utility model relates to the field of agricultural machinery and equipment technology, specifically a paddy field wheel, including a main shaft with multiple mounting discs. Blades are detachably assembled between every two adjacent mounting discs. Each mounting disc has multiple mounting positions for positioning the blades, and each blade has a first mounting part and a second mounting part. When the blades are assembled onto the mounting discs, the first and second mounting parts are respectively connected to the end faces of two adjacent mounting discs. This paddy field wheel has a simple overall structure, and the blades are detachably screwed together, allowing for batch processing and transportation, improving transportation efficiency while reducing processing and welding costs, and facilitating subsequent blade upgrades and replacements. The assembly of the first and second mounting parts with the mounting discs simplifies conventional blade components such as bracing plates and reinforcing bars, reduces welding processes and costs, improves installation efficiency, and overall reduces the processing, transportation, and usage costs of the paddy field wheel, while also improving its tillage efficiency.

The application discloses a soil deep loosening simulation method based on DEM-FEM bidirectional coupling. The method comprises the following steps: establishing a soil discrete element model and a deep loosening tool finite element model; using the discrete element DEM simulation to analyze the influence law of soil characteristic parameters and deep loosening tool motion parameters on soil deep loosening effect and deep loosening tool working resistance; changing the soil characteristic parameters and deep loosening tool motion parameters, and calculating the information such as soil deep loosening particle mixing degree, deep loosening tool working efficiency and working resistance under different variables; analyzing the influence law of the working resistance obtained from the DEM on the deep loosening tool structure through the finite element FEM analysis, changing the soil structure parameters and deep loosening tool structure parameters, and counting the statics and dynamics analysis results under different variables; simulating through the DEM-FEM bidirectional coupling, analyzing the soil deep loosening mechanism of the deep loosening tool, and obtaining the parameter and structure optimization results. Compared with the prior art, the application can effectively reduce resistance and consumption, and improve working efficiency.

The invention belongs to the technical field of fermented feeds, provides a yak feed obtained through microbial fermentation, particularly relates to a yak feed obtained through bacillus velezensis fermentation, and further relates to a preparation method of the yak feed. In the application, after bacillus velezensis K24 is inoculated and cultured, the obtained fermentation liquor is directly inoculated into the raw feed of the yak feed, and fermentation culture is performed, so that the fermented feed is obtained. Compared with common feed before fermentation, the yak feed provided by the invention can significantly improve daily gain and disease resistance of yaks.

The utility model discloses a silkworm breeding device capable of automatically controlling temperature and humidity. The silkworm breeding device comprises a silkworm information acquisition device, a data processing module, a data storage module, a display module, a temperature and humidity control module, an environment data acquisition device, a power supply module, an alarm module and a communication module, the silkworm information acquisition device, the data storage module, the display module, the temperature and humidity control module, the environment data acquisition device, the power supply module, the alarm module and the communication module are respectively connected with the data processing module. Through the integrated silkworm information collecting and processing system, the growth stage of silkworms can be automatically recognized, the temperature and humidity are automatically adjusted according to preset parameters, manual intervention is reduced, and the breeding efficiency is improved.

The invention belongs to the technical field of poultry farming, and particularly relates to a compound feed for effectively improving sternum calcification of cherry valley hang white meat ducks. The feed contains a nutrient supplement, and every 1 part by weight of the nutrient supplement comprises 50 g of zinc methionine, 50 g of manganese methionine, 3000 IU of 25-hydroxyvitamin D3, 100 g of magnesium oxide, 300 g of blue kadsura and 500 g of eggshell powder. The functional nutrition enhancer can improve sternum calcification of cherry valley hang white meat ducks. In the invention, the conventional nutritional indexes and the required amount of trace elements and vitamins of the cherry valley-hang white meat ducks are researched, and the formed compound feed preparation technology is more scientific and more comprehensive in consideration; the functional nutrition enhancer is adopted, so that the sternum calcification degree of the meat ducks is effectively improved, the tibia strength is improved, the occurrence rate of leg diseases is improved, and the breeding benefits are improved.

The present invention provides a high-protein bio-fermented aquatic feed and a preparation method thereof. The aquatic feed comprises the following raw materials in parts by weight: 20-30 parts of imported fish meal, 10-15 parts of compound minerals, 5-10 parts of bioactive peptides, 5-10 parts of lysine, 5-10 parts of compound trace elements, 3-8 parts of compound vitamins, 3-6 parts of herbal extracts, 2-5 parts of compound probiotics, 2-4 parts of immune polysaccharides, and 1-3 parts of compound enzymes; the herbal extracts are prepared by fermenting astragalus membranaceus, isatis root, liquorice root, calotropis gigantea, ventilago leiocarpa benth, clove, rhizoma chuanxiong, and galangal officinale. By organically integrating imported fish meal, astaxanthin-peptide chelate, herbal extracts, compound immune polysaccharides, compound probiotics and various nutrients, the present invention realizes the synergistic effect of "promoting feeding - enhancing digestion - strengthening liver and gall - enhancing immunity - resisting stress - inhibiting bacteria - stabilizing water quality", significantly improves the growth rate, survival rate and comprehensive breeding benefit of crustacean aquatic animals, and has good economic value and application prospect.

The invention discloses a laying hen production data management system based on cloud computing, which belongs to the technical field of cloud computing and comprises an environment acquisition module, a cloud computing platform and a production management mode adjustment module. Wherein the environment acquisition module is used for periodically acquiring environment parameters, feed ratio data and laying hen health state data in a chicken house and transmitting the environment parameters, the feed ratio data and the laying hen health state data to the cloud computing platform in a wireless or wired mode; the cloud computing platform is used for analyzing and evaluating the collected environment parameters, feed proportion data and laying hen health state data to obtain a comprehensive evaluation value of the laying hen production environment; and the mode adjusting module is used for selecting a management mode according to the comprehensive evaluation value and dynamically adjusting laying hen production data. The laying hen production data are collected, analyzed and optimized in real time through the cloud computing platform, accurate regulation and control of the production environment are achieved, and the production benefits of laying hens are improved.

The application discloses application of Lactobacillus plantarum fermented whole-plant corn in improving growth performance, slaughtering performance and meat quality of black sheep, and belongs to the field of livestock feeding. The technical problem solved by the application is how to improve the growth performance, slaughtering performance and meat quality of livestock. It is found that after livestock is fed with Lactobacillus plantarum fermented corn prepared by using Lactobacillus plantarum 6H2, the average daily weight gain and daily feed intake are significantly improved, the feed conversion ratio is significantly reduced, the carcass weight is significantly improved, the meat shear force is significantly reduced, the number of white blood cells, the number of lymphocytes and the percentage of lymphocytes are significantly improved, the percentage of neutrophils is significantly reduced, and the content of total protein and albumin in serum is significantly improved. In summary, Lactobacillus plantarum 6H2 and the fermented corn obtained by using the same can improve the growth performance, slaughtering performance and muscle tenderness of livestock, improve the blood physiological and biochemical indexes, and improve the breeding benefit.

The utility model belongs to the technical field of livestock breeding equipment, and particularly relates to a livestock breeding feeding trough which comprises a trough body, a supporting frame, a supporting moving assembly, a supporting adjusting assembly, a cleaning adjusting assembly, a cleaning scraping strip, a dip angle adjusting assembly and a hollow shaft. The hollow shaft is rotatably installed on the groove body, the hollow shaft is fixedly installed on the supporting frame, the supporting moving assembly is arranged on the bottom side of the supporting frame, and the supporting adjusting assembly is arranged on the supporting frame and connected with the supporting moving assembly; the inner side and the outer side of the groove body are arranged in a cambered surface mode, the dip angle adjusting assembly is arranged on the supporting frame and connected with the groove body, and the cleaning scraping strip is installed on the groove body in a sliding mode and makes contact with the inner wall of the groove body. The automatic feeding device is reasonable in design, integrates functionality, durability and maintainability, greatly reduces the intensity of manual operation, improves the breeding efficiency, and has wide popularization value.

The invention provides a channel catfish activeness testing system and method, and belongs to the technical field of aquaculture. Comprising a monitoring unit, a data processing unit, a control and display unit and a data storage and transmission unit, the data processing unit comprehensively processes data monitored by the monitoring unit, and the control and display unit controls and displays the monitoring unit and the data processing unit. And the data storage and transmission unit is used for storing data or analysis results of the monitoring unit and the data processing unit and transmitting the data or analysis results to a management platform or a mobile terminal. According to the method, data are collected through various sensors, the subjectivity and limitation of traditional manual observation are overcome, the activeness of channel catfish can be evaluated more accurately, and a reliable basis is provided for evaluating the health condition and the growth environment of fish.

The invention relates to the technical field of image recognition, and discloses a mushroom growth state-based yield prediction method and device, and the method comprises the steps: collecting the time sequence data of mushrooms, determining the two-dimensional feature data and three-dimensional feature data of mushroom sporocarp according to the time sequence data, and carrying out the calculation of the two-dimensional feature data and the three-dimensional feature data; and inputting the two-dimensional feature data and the three-dimensional feature data into a prediction network to calculate a real-time growth rate, when the real-time growth rate is within a normal growth rate range and the mushrooms are in a target growth stage, obtaining a yield prediction result of the mushrooms through a multivariable regression model, and when the real-time growth rate is not within the normal growth rate range, obtaining a yield prediction result of the mushrooms through the multivariable regression model. And determining that the mushrooms are in an abnormal growth state and generating abnormal growth alarm information. Therefore, by implementing the method, the feature recognition precision can be improved through refined image analysis, the reliability and accuracy of growth state judgment and yield prediction are improved, the monitoring accuracy of the mushroom growth state is improved, the yield prediction accuracy and the intelligent degree are further improved, and the labor cost is reduced.

The present invention provides a kind of crayfish intestinal microecological additive containing low-temperature protease and postbiotic preparation and its preparation method and application. The present invention analyzes the alkaline protease gene derived from Bacillus subtilis and performs site-directed mutation to obtain a mutant aprEM, whose amino acid sequence is shown in SEQ ID NO: 1, and the nucleotide sequence of the encoding gene is shown in SEQ ID NO: 2. The optimal reaction temperature of the mutant aprEM enzyme activity is reduced from 55 ° C to 45 ° C, and the enzyme activity is maintained at 20-40 ° C. More than 60%, more suitable for application under low temperature environment, especially suitable for the intestinal environment of aquaculture animals, thereby improving the digestion and utilization rate of feed raw materials. The microecological additive of the present invention also includes Bacillus subtilis metabolites and inactivated bacteria, which can purify water and inhibit some pathogens. The present invention proves through experiments that low-temperature protease combined with postbiotic preparations are applied in aquaculture, which can significantly improve its breeding survival rate and improve its economic benefits.

The utility model relates to the field of mechanical equipment, and provides a deep ploughing mechanism for a deep ploughing machine and the deep ploughing machine, the deep ploughing mechanism for the deep ploughing machine comprises a frame body and a controller, the frame body is provided with a rotary tillage knife rest, a first power unit for driving the rotary tillage knife rest to move up and down and a detector for detecting the lifting depth of the rotary tillage knife rest, the rotary tillage knife rest is provided with a plurality of tillage knives, a linkage mechanism for driving the tillage knives to perform deep tillage operation and a mud guard arranged on the front end surface of the rotary tillage knife rest; the horizontal plane of the lowest point of the rotary blade is higher than the horizontal plane of the lowest point of the fender; and the input end of the controller is electrically connected with the detector. And the mud baffle can effectively level the ploughed soil, so that the uniformity of the land is ensured. Meanwhile, the height difference between the mudguard and the tilling cutter is utilized, data detected by the angle sensor are combined, the position of the mudguard is dynamically adjusted, the purpose of adjusting the tilling depth in real time can be achieved, and the tilling efficiency and quality are improved.

The invention relates to the technical field of deep-sea culture, and discloses a net cage for deep-sea culture, which comprises a net cage floating plate, and a plurality of wave-following energy storage mechanisms arranged along different directions are arranged on one side, close to the sea surface, of the net cage floating plate; the wave-following energy storage mechanism comprises a plurality of floating balls, wave making pieces and air storage pieces, the floating balls are connected in series through ropes, each floating ball corresponds to one air storage piece, and each air storage piece comprises a turbofan piece; the wave making part comprises two stamping chambers with different space volumes, namely a stamping chamber I and a stamping chamber II, and the two stamping chambers rush to the center of the net cage when air pressure is increased to a preset value, so that sea surface waves float towards the center of the net cage and impact fish food to diffuse into the net; by designing the wave-following energy storage mechanism, natural fluctuation energy of the ocean is ingeniously utilized, the floating ball fluctuates along with the sea waves to drive the turbofan piece to rotate, then air is pumped into the wave making piece, an external power source is not needed in the process, and efficient utilization of energy is achieved.