928 results about "Sowing" patented technology

The invention relates to the technical field of saline-alkali soil treatment, and discloses a light and moderate saline-alkali soil alfalfa seedling protection and strong growth promotion planting method which comprises the following steps: S1, soil pretreatment and root zone microenvironment construction; s2, seed treatment and space-time double-salt-avoiding sowing; s3, microbial inoculum synergistic application; s4, water and fertilizer integration and accurate management; s5, dynamic regulation and control in the growth period, a low-salt root zone microenvironment is constructed through combination of physical obstruction and biological improvement, salt ascending is inhibited by using a slag salt isolation layer, fertility is improved by using an organic layer, and stress resistance is enhanced by adopting a salt-tolerant variety, climate window sowing and aerogel embedding fungicide; precise regulation and control are achieved through water and fertilizer integrated drip irrigation, the stability of a root zone is maintained by combining intertillage and directional topdressing, finally, the seedling emergence uniformity and the seedling stage survival rate are remarkably improved, and robust growth of plants in saline-alkali soil is promoted.

The present application provides a kind of active helical pushing type gap straw cleaning wheel for straw returning, including active blade rotating shaft, right helical gap blade group and left helical gap blade group, and gap blade group includes multiple helical gap blades.The intersection of right helical gap blade and left helical gap blade is fixed together, and symmetric to each other.Gap blade group is fixed with active blade rotating shaft, and helical blade contacts soil during operation, and pushes straw on soil to both sides, and the size of helical gap blade outer diameter and the rotating speed of active blade rotating shaft are changed to improve the returning efficiency of straw.The gap depth of helical gap blade is consistent and staggered, to improve the quality of sowing belt straw cleaning, form a more clean sowing belt, and the soil driven by blade can flow out of the gap to reduce the amount of soil.The present application efficiently cleans the straw on sowing belt under the premise of minimizing the amount of soil, improves the quality of no-tillage seeding, and is beneficial to crop yield increase.

The invention belongs to the technical field of seeding, and particularly relates to an intelligent precision seed-metering device based on electromagnetic control and a seed-metering method, and the seed-metering device comprises a seed-metering disc assembly and an electromagnetic intelligent seed pushing assembly. The seed metering plate assembly is provided with a seed hole with an annular permanent magnet; the electromagnetic intelligent seed pushing assembly comprises a control module, an electrified solenoid and a flexible seed pushing assembly with a permanent magnet sliding block and a flexible pushing disc. During working, the magnetic attraction force between the seed-metering disc permanent magnet and the sliding block permanent magnet is combined with the controllable electromagnetic force generated by the electrified solenoid to cooperatively drive the sliding block to complete the seed pushing action. The electric signals are controlled through programming, and various operation modes such as ultra-high speed, precision low loss and variable jump broadcast can be switched in real time. According to the invention, the embedded real-time monitoring and fault diagnosis of the seed pushing action are realized by using an electric signal generated by the movement of the sliding block in the induction coil. According to the invention, the problem that the existing seed-metering device is difficult to consider high-speed, low-loss and multi-mode operation and intelligent monitoring at the same time is solved.

The invention discloses a seed vigor prediction model construction method based on spectral indexes and a detection system, and relates to a method and a system for rapidly and nondestructively detecting seed vigor by using a visible-near infrared spectrum technology. The problem that in the prior art, the requirement for accurate and quantitative evaluation of seed vigor in modern agriculture cannot be met is solved. The method comprises the following steps: firstly, acquiring spectral data and actual germination rate data of a seed sample, and carrying out abnormal value elimination and pretreatment on the spectral data; then extracting one-dimensional, two-dimensional and three-dimensional spectral indexes from the preprocessed spectral data, and screening out an optimal spectral index by using a correlation matrix method; and finally, by taking the optimal spectral index as input and the actual germination rate as output, establishing a seed activity prediction model based on the optimal spectral index. The prediction model is embedded in the system, and seed vigor prediction is achieved. The method is suitable for the fields of seed quality detection and grading, precise sowing, agricultural production and the like.

The invention discloses a corn seed environment adaptability cultivation method based on edge calculation, which comprises the following steps: step 1, acquiring environment factor data of a corn seed sowing area, and preprocessing the environment factor data; 2, extracting the edge contour of the corn seedling by adopting Canny edge detection and a Sobel operator based on the RGB image; 3, constructing a multi-source heterogeneous data sample set according to time and space coordinate alignment; 4, constructing a causal structure diagram by adopting an improved NOTEARS algorithm; 5, carrying out comprehensive sorting to obtain a key factor path; step 6, inputting the multi-dimensional environment factor vector of the target area to the starting node of the key factor path to obtain a predicted phenotypic feature vector; and 7, comparing the actual phenotypic feature vector with the predicted phenotypic feature vector, and counting a prediction error. According to the method, causal modeling and image analysis are fused, and the breeding efficiency and the accuracy of regional suitability judgment are improved.

The invention discloses a shrub and grass combined vegetation restoration and reconstruction method for a photovoltaic power station in a high-cold and high-altitude area, relates to the technical field of vegetation restoration and reconstruction, and aims to solve the problem that shrub and grass growth is not facilitated when the prior art is applied to the high-cold and high-altitude area. The method comprises the following steps; the method comprises the following steps: S1, soil improvement: improving the soil of a photovoltaic power station area in a high-cold and high-altitude area; s2, shrub and grass vegetation selection: selecting and using potentilla fruticosa and potentilla glauca to alternately plant in a vacant area between the photovoltaic panels according to the line spacing of 2m and the plant spacing of 1.5 m, then selecting and using elymus nutans and siberian wildrye, mixing the elymus nutans and the siberian wildrye according to the seed mass ratio of 1: 1, sowing in line in the shrub lines and the area below the photovoltaic panels, and the sowing rate per mu being 15-20kg; s3, later-stage maintenance management, wherein the planted shrub and grass vegetation is subjected to maintenance management. The method has the advantage of guaranteeing the growth and survival of shrub and grass vegetation.

The present application relates to the field of slope ecological restoration, specifically to a green mine slope ecological restoration device, which can automatically and evenly sow vegetation seeds for repair, and can automatically lay protective nets after sowing is completed, thereby avoiding the problem of slope body sliding when the vegetation has not grown, comprising a protective box and a restoration box, the front end of the protective box is fixedly installed with the restoration box, and the sidewall of the protective box is fixedly installed with a driving motor. The present application automatically and evenly sows protective vegetation seeds, realizes ecological restoration, and can realize vibration compression during sowing, thereby realizing the extrusion of the slope, avoiding soil and water loss, and preliminarily realizing the protection of the sowed seeds. Under the action of the protective box, the device can automatically lay protective nets on the slope, further avoiding soil and water loss, avoiding the phenomenon of slope body sliding when the vegetation has not grown, and playing a secondary protection function for the seeds.

The invention discloses a saline-alkali soil crop-soil system nutrient dynamic matching regulation and control method, relates to the technical field of agricultural planting, and aims to solve the technical problems of saline-alkali soil nutrient imbalance, limited crop nutrient absorption and low efficiency of a traditional regulation and control mode, and the method comprises the following steps: S1, preparation before sowing; performing layered deep scarification treatment on a plough layer of the saline-alkali soil, synchronously applying a salt control improvement material to a deep plough layer to improve a saline-alkali environment, and arranging a layered under-film drip irrigation system matched with crop root zone distribution; s2, monitoring in a whole growth period; in the whole growth period of crops, plough layer soil samples are collected in a layered mode, soil salinity and nutrient indexes are measured, meanwhile, the growth state of the crops is monitored, and the incidence relation between the soil indexes and crop growth is established. The method solves the problem that nutrient supply is disjointed with the requirements of the root zone and the growth period of the oil sunflower in the prior art, creates adaptive saline-alkali environment and nutrient conditions for the whole growth period of the oil sunflower, and guarantees normal growth and development of the oil sunflower.

The invention relates to the technical field of tailing sand treatment, in particular to a method for repairing vanadium titano-magnetite tailing sand by utilizing plants, which comprises the following steps: ploughing and flattening the surface layer of the tailing sand, then applying an organic modifier and a pH regulator, and fully mixing with the tailing sand of 20-40cm on the surface layer; synchronously applying a microbial agent containing heteroform rhizopus in the plant growth substrate, and sowing bermuda grass; performing field management after the cynodon dactylon seedlings survive; after at least one complete growth cycle of the cynodon dactylon is completed and the cynodon dactylon enters a mature period, stubbles of 5-10 cm are reserved by using a harvesting machine for cradling so as to ensure that the cynodon dactylon keeps necessary growing points, so that the cynodon dactylon can be quickly regenerated in the next growing season, and then the cradled cynodon dactylon is treated. The phytoremediation efficiency of the vanadium titano-magnetite tailing sand can be improved, and ecological restoration, resource circulation and environmental safety are also considered.

The utility model provides a spacing-adjustable corn seed sowing device, belongs to the technical field of agricultural machinery, and aims to solve the problems that part of existing sowing equipment does not have a spacing adjusting function and can only perform sowing according to a fixed spacing, and seeds are easy to accumulate at a discharge port. The fixing frame is composed of a front transverse plate and a rear transverse plate, threaded holes are formed in the two ends of each transverse plate, and a sliding groove is formed in the middle of each transverse plate. And the two sets of side baffles are symmetrically arranged, and threaded holes are formed in the surfaces of the side baffles. According to the device, the connecting screw rods at the front end and the rear end of the sliding block are clamped in the sliding grooves in the surface of the transverse plate of the fixing frame, and are matched with the nuts on the connecting screw rods, so that the seeding spacing is flexibly adjusted, and an operator only needs to loosen the nuts, so that the sliding block can freely slide in the sliding grooves, and the distance between the two storage tanks is adjusted; therefore, the sowing distance of the corn seeds is accurately controlled.

The invention provides a method for rapidly and non-destructively detecting the quality of beet seeds based on a near infrared spectrum technology, and relates to the technical field of non-destructive detection of the quality of the seeds, the near infrared spectrum of the beet seeds is collected, and the characteristic wavelength is extracted through an improved competitive self-adaptive reweighted sampling algorithm; meanwhile, depth features are extracted by using a customized convolutional neural network, and the depth features and the depth features are fused to form a fusion feature vector with high characterization force. Secondly, establishing a quality scoring system based on key agronomic characters after single seed sowing, and constructing a spectral feature and quality score contrast database; for to-be-tested seeds, the most reliable reference seed group is screened out from the database by calculating the weighted similarity and adopting a dual dynamic threshold strategy. And finally, in combination with the local space density of the reference seed and the correlation degree between the reference seed and the to-be-detected seed, carrying out credibility weighted local regression calculation, accurately predicting the final quality score of the to-be-detected seed, and realizing grading judgment.

The invention discloses a medicago sativa underground drip irrigation multi-row tape laying and sowing all-in-one machine, and relates to the technical field of medicago sativa sowing, the medicago sativa underground drip irrigation multi-row tape laying and sowing all-in-one machine comprises a sowing truck, the sowing truck is provided with a front end and a rear end, the front end of the sowing truck is fixedly provided with a lifting device, and the output shaft end of the lifting device is fixedly provided with a ditching wheel; a planting interval adjusting assembly is arranged at the rear end of the seeding truck, and the arrangement of the matching feeding assembly and the matching drip irrigation tape laying assembly is matched through the movement of the planting interval adjusting assembly; a worker needs to adjust a seed metering machine, a first fertilizer feeding machine, a drip irrigation belt mounting shaft, a fixed rail, a drip irrigation belt guide pipe and an earthing wheel in sequence according to requirements, and unified adjustment of ditching, fertilization, seeding, drip irrigation belt laying and earthing is achieved only by means of movement of a sliding rectangular block. And errors caused by manual adjustment of parts one by one are avoided.

The invention discloses a plant protection unmanned aerial vehicle operation method and system based on Beidou high-precision positioning and hyperspectral nitrogen nutrition estimation, and the method comprises the steps: determining a plant protection unmanned aerial vehicle operation region, and calculating the flight height of an unmanned aerial vehicle through hyperspectral camera parameters and navigation positioning data; acquiring a hyperspectral image of crops in the operation area of the plant protection unmanned aerial vehicle in real time through a hyperspectral camera, and determining a nitrogen nutrition deficiency area by using a spectral feature selection algorithm based on spectral data in the hyperspectral image; converting the pixel coordinates of the nitrogen nutrition deficiency region into real geographic coordinates; based on the real geographic coordinates of the nitrogen nutrition deficient area, the performance parameters and task requirements of the unmanned aerial vehicle are combined, a dynamic window method is adopted for sowing path planning, and finally accurate sowing irrigation is achieved. According to the method, a dynamic threshold value and maximum entropy threshold value method is introduced, Canny edge detection and multi-source correction are combined, region boundary jitter and area calculation errors are reduced, and a space reference is provided for precise sowing.

The invention discloses a self-adaptive crop growth prediction and farming decision-making system based on multi-source environmental data. The system comprises a multi-source data acquisition module, a data preprocessing module, an adaptive parameter adjustment module, an intelligent prediction engine and a user interaction module. According to the system, soil physical and chemical parameters, meteorological elements and crop variety characteristics can be fused, and a dynamic environment-crop feature vector is constructed; driving a parameter adaptive optimization mechanism through a multi-source data acquisition and feature analysis module, and dynamically adjusting key parameters of a prediction and decision model by adopting a Bayesian optimization framework; the whole-growth-period growth prediction of the leaf area index, biomass accumulation and the mature period is realized in combination with an improved LSTM neural network, and farming suggestions such as sowing, fertilization and irrigation are generated; and outputting a result through a visual platform, and supporting user feedback closed-loop optimization. According to the method, a'region-variety 'two-dimensional response mechanism is designed, collaborative self-adaption of growth prediction and decision parameters is realized, and the generalization and precision of the model are improved.

The invention discloses a soybean pod borer predicting and forecasting method based on machine learning, and relates to the technical field of insect situation prediction.The soybean pod borer predicting and forecasting method comprises the steps that trapping counting and state information are collected, the total trapping amount of the day is summarized, and an observation credibility index is calculated through S-shaped attenuation punishment; determining a key occurrence window for annual phase alignment of total trapping amount historical data, and calculating a phenological continuous index of a future prediction window based on a sowing date and day-by-day air temperature; establishing a mechanism constraint machine learning model based on a feedforward full-connection neural network, and outputting a continuous time trapping intensity predicted value and change trend information; carrying out numerical integration on the predicted value to obtain a future insect situation cumulant, and calculating an insect situation risk amount by combining the environmental suitability and the phenological suitability; and generating a maintenance instruction according to the observation credibility index, and outputting an early warning and patrol frequency adjustment instruction in a graded manner according to the insect condition risk quantity. According to the method, quantitative suppression of low-quality trapping data, constraint stabilization of a trapping intensity prediction mechanism and comparable and reviewable risk early warning are realized.

The invention belongs to the technical field of seed treatment, and particularly relates to pelletized barley seeds as well as a preparation method and application thereof. The invention provides a seed coating agent. The seed coating agent is prepared from the following components in percentage by weight: 35 to 40 percent of talcum powder, 28 to 32 percent of bentonite, 8 to 10 percent of polyvinylpolypyrrolidone, 15 to 18 percent of light calcium carbonate and 2 to 5 percent of perlite. The talcum powder, the bentonite, the polyvinylpolypyrrolidone, the light calcium carbonate and the perlite are compounded according to a certain proportion, the defect of a single raw material is overcome, the phenomena of falling, crushing, caking and irregularity in the pelletizing process are reduced through synergistic cooperation of bonding, lubricating, reinforcing, filling and adjusting of all the raw materials, and the pelletizing quality is improved. Therefore, the pelleting rate of the seeds is improved, the quality of the pelletized barley seeds is improved, the stress resistance of the barley seeds is enhanced, the miss-seeding and / or re-seeding phenomena of the barley seeds are reduced, the barley yield and quality are improved, and the barley breeding efficiency is improved.

The invention provides a method for improving forage grass production performance and silage quality and application of the method, and belongs to the technical field of silage production. The method comprises the following steps that after silage corn is sown, lacroton beans are sown between two rows of corn immediately; first topdressing is carried out 18-22 days after sowing; carrying out secondary topdressing 60-68 days after sowing; harvesting is conducted on the 105th-110th day after sowing is conducted; and carrying out silage on the harvested silage corn and the harvested lacroton beans. Through mixed sowing of the corn and the lab beans, the dry matter yield and the crude protein content of the mixed forage grass are improved, supply of protein raw materials in concentrated feed is reduced, and the feed cost is reduced. The abundance of leuconostoc can be remarkably reduced during the ensiling period, and the silage obtained after ensiling is excellent in sensory evaluation. The content of nutritional ingredients in the silage is changed, protein and carbohydrate components are changed, and the nutritional value of the silage is improved.

A solidification sowing method for a side slope grass planting area aims at solving the problems that in the solidification project of the side slope grass planting area, manual sowing efficiency is low, uniformity is poor, the method is difficult to adapt to complex side slope terrains, and labor intensity is high. Conventional mechanical sowing faces the problems that the sowing amount cannot be flexibly adjusted, and the slope solidification effect can be reduced due to continuous seed conveying. The method comprises the following steps that seeds are poured into a seed storage barrel, a corner motor drives a driving drive plate to rotate, the upper side wall of a fixed barrel communicates with the seed storage barrel, a five-groove wheel is driven to rotate when a round pin of the driving drive plate is embedded into a wheel groove of the five-groove wheel, and then a shaft A and a seed conveying roller are driven to rotate; air flow generated by the air blower enters the air blowing cylinder, seeds falling from the seed conveying cylinder to the air blowing cylinder are blown to a side slope, an operator pushes the supporting assembly with the universal wheels through the pushing handle, the device flexibly moves on the side slope, and uniform sowing is completed. The device is used for solidifying and sowing in the side slope grass planting area.

The invention provides an intelligent sowing and fertilizing control method and system based on machine vision, and relates to the technical field of intelligent agriculture, and the method comprises the steps: responding to a received task instruction, and determining a target task type and a target operation region according to the task instruction; selecting a first control strategy from a preset strategy library based on the target task type, determining a path planning mode based on the geographic information of the target operation area and a pre-acquired environment map, and generating an operation path; controlling the robot to move to the target operation area to obtain environment information of the target operation area; performing sub-item comparison on the environment information and a preset condition of the first control strategy to obtain a comparison result; and if the deviation of any environmental element in the comparison result is greater than a corresponding preset deviation threshold, matching a corresponding target control strategy from a preset strategy library according to the environmental information, updating the first control strategy to the target control strategy, and controlling the robot based on the target control strategy and the operation path.

The invention discloses a water and fertilizer accurate direct injection and seeding all-in-one machine, which belongs to the technical field of agricultural machinery, and comprises a frame body, walking wheels are rotatably connected to four corners of the bottom of the frame body, a connecting mechanism is fixedly connected to the front end of the frame body, and the connecting mechanism is used for connecting a driving device; a rotary tillage assembly, a water and fertilizer assembly and a dibble seeding assembly are sequentially mounted on the frame body from front to back; the single-time water and fertilizer discharge amount of the water and fertilizer assembly and the single-time sowing amount of the dibble seeding assembly are fixed; the water and fertilizer assembly outlet and the dibble seeding assembly outlet are adjacently and fixedly connected to a lifting plate, lifting rods are fixedly connected to the two ends of the lifting plate, and the tops of the lifting rods are fixedly connected to the frame body; the lifting rod drives the lifting plate to ascend and descend, so that the water and fertilizer assembly discharge port and the dibble seeding assembly discharge port enter the in-soil seeding position at the same time, and seeding and direct water and fertilizer injection are completed at the same time. According to the invention, the functions of rotary tillage, precise seeding and precise direct injection of water and fertilizer are integrated, and the purposes of shortening the operation period, reducing water and fertilizer loss and relieving water pressure are achieved.

The invention discloses a dry land wheat green high-yield cultivation optimization method and system, and relates to the technical field of agricultural cultivation. The method comprises the following steps: firstly, obtaining typical rainfall characteristic data and soil characteristic data of a target planting area, constructing a micro-furrow simulation model, and carrying out optimization solution by taking predicted water catchment maximization as a target to obtain optimal micro-furrow parameters. And calculating a confidence wetting depth by combining rainfall characteristic data and an optimization result, and determining furrow sowing parameters according to the optimization result and wheat water demand characteristics. Finally, cultivation operation is executed based on the micro-furrow parameters, the furrow sowing parameters and the confidence wetting depth, wherein the fertilizer application depth is determined based on the confidence wetting depth. Precise matching of a micro-furrow structure, crop layout and water and fertilizer management is achieved, the problems that in traditional cultivation, the water utilization efficiency is low, and water and fertilizer space matching is poor are solved, and the rainfall utilization efficiency and the yield level of dry land wheat are improved.

The invention provides a rape growth period dynamic prediction method based on a crop growth model. The method comprises the following steps: step 1, determining a sowing date and rape variety information according to a rape planting plan; 2, calculating the initial date of the rape entering each growth period, and establishing an initial growth period calendar; step 3, acquiring temperature information according to the current date and the sowing date; 4, judging the growth period of the current date, if the growth period is a seeding emergence period, executing the step 5, and otherwise, executing the step 6; 5, calculating the date of entering the next growth period based on the accumulated temperature, and executing the step 7; 6, calculating the date of entering the next growth period based on the physiological development time; and 7, comparing the predicted date of entering the next growth period with the calendar of the initial growth period, performing corresponding adjustment, and automatically adjusting the calendar of the initial growth period when a planter confirms that the rape enters the next growth period.

The invention relates to the technical field of agricultural cultivation, and particularly discloses a northern Xinjiang egg-wrapped wheat drip irrigation sowing method, which comprises the technical key points of preparation before sowing, sowing, field management, timely harvesting and the like, and is completed by selecting an excellent wheat variety with high yield, good stress resistance and large high-yield potential and sowing 2-3 days before freezing, reasonable dripping, fertilization, chemical control, chemical weeding and pest control are carried out, and the yield of the northern Xinjiang egg-coated wheat is increased.

The invention discloses a seeding depth regulation and control device and method suitable for earth surface gradient changes in the advancing direction of hilly and mountainous areas. Wherein a left rod of the parallel four-rod profiling mechanism is fixedly connected with a furrow opener mounting rack in the left rod of the parallel four-rod profiling mechanism, and a right rod of the parallel four-rod profiling mechanism is fixed with a rack of the traction mechanism; the lower end of a large-profiling-amount spring is installed on a lower rod of the parallel four-rod profiling mechanism, a spring initial increment adjuster is installed at the upper end of the large-profiling-amount spring, and one end of a sowing single machine frame connecting piece in a left rod of the parallel four-rod profiling mechanism is hinged to a sowing depth adjusting clamping cylinder of the spring initial increment adjuster. The other end of the seeding monomer rack connecting piece is hinged with the upper part of the rack connecting rod; the air-blowing type seed sowing device, the disc furrow opener, the depth limiting wheel and the soil covering press wheel are all mounted on the furrow opener mounting rack. According to the method, different seeding depth operation parameter combinations can be selected according to the surface gradient ranges in different advancing directions, and finally, the seeding depth operation performance is optimal.

The invention relates to a multi-crop dual-purpose air-suction type seed-metering device capable of adaptively adjusting a seed cleaning device. The multi-crop dual-purpose air-aspiration type seed-metering device capable of adaptively adjusting the seed cleaning device comprises a seed-metering device shell, a seed box is installed on the front side of the seed-metering device shell, a seed cleaning mechanism is installed on the side face of the seed-metering device shell, and a negative pressure air chamber for providing negative pressure for the air-aspiration type seed-metering device and a belt transmission mechanism for providing power input for the seed-metering device are installed on the rear side of the seed-metering device shell. A seed feeding opening is formed in the lower part of the seed-metering device shell; a correlation type matrix optical fiber sensor is mounted at the seed feeding opening and is used for detecting the seed falling condition. The seed metering device detects the seed metering effect and the working condition change in real time, the positions of the seed cleaning devices are adjusted in real time, the three seed cleaning devices can be adjusted according to different proportions according to the seed types to adapt to seed cleaning curves of different seeds, the single seed rate of the seeding operation is increased, and the seeding efficiency is improved. The seed loss in the seeding process is reduced, the seeding uniformity is ensured, and the seeding efficiency is high.

The utility model relates to a combined artificial fish reef with a light structure, which is formed by assembling a plurality of functional parts made of HDPE (high-density polyethylene) materials on a steel structure frame, and the HDPE materials have the advantages of high hardness, aging resistance, decomposition resistance, no toxicity, no odor and light weight. The light weight of the reef body can be guaranteed, and deposition is prevented; meanwhile, the plasticity of the material is higher, a more complex space structure can be achieved, more living space is provided for benthic organisms, development of bottom sowing proliferation is facilitated, and economical efficiency and applicability are high.

The present invention relates to a flexible weeder for sowings of one or more rows with short inter-row spacings of 5 to 7 cm and up to 20 cm for different crops, driven by hydraulic motors and connected to the hydraulic system of the tractor to draw power therefrom. The weeder comprises the following systems: a suspension system, a cutting system with discs, a transmission system, a travel system (first embodiment), which includes a leveling system in a second embodiment, and a main structure. The tip of the cutting discs penetrates enough into the soil to remove and loosen roots within the optimum weeding time. The discs comprise blades that penetrate, cutting the roots of weeds or turning over the soil enough to expose the roots of any unwanted vegetation to the sunlight.

The invention discloses a tobacco transplanter operation quality detection method based on remote sensing and deep learning, and relates to the technical field of agricultural machinery operation quality detection.The method comprises the following steps that the characteristics of seedling holes and missing planting holes are identified through a target detection model, the target detection model comprises a second-order attention mechanism SOCA module and a SimSPPF module, and the SimSPPF module is used for identifying the characteristics of the seedling holes and the missing planting holes; the second-order attention mechanism SOCA module captures correlation of multi-scale features in video images, the SimSPPF module fuses the multi-scale features, through two times of feature matching and background noise information elimination, seedling holes for effective sowing during operation of the tobacco transplanter are positioned and extracted from video data synchronously obtained during operation of the tobacco transplanter, and the seedling holes are used for seeding. According to the method, the miss-planting rate and efficiency of operation of the tobacco transplanter are tested by calculating the efficiency and miss-planting rate of effective seeding operation of the tobacco transplanter, so that the operation quality of the tobacco transplanter is quantitatively detected while the detection precision of seedling holes and miss-planting holes is improved.

The utility model relates to the technical field of rice planting sowing, and discloses a telescopic quantitative sowing mechanism for rice planting field fertilization, which comprises a chassis, the left side of the top of the chassis is fixedly connected with a fixed support, the top end of the right side of the fixed support is fixedly connected with a motor II, and the output end of the motor II is fixedly connected with a transmission wheel. The outer walls of the two transmission wheels are in transmission connection through a transmission belt, a second sliding groove is formed in the right side of the outer wall of the fixing disc, the inner wall of the second sliding groove is in sliding connection with the outer wall of an adjusting handle, and a telescopic mechanism is arranged at the bottom of the bottom disc and used for adjusting a discharging port. According to the adjustable quantitative feeding device, the hole II and the hole I form a leakage hole under the rotation action of the adjusting handle, so that the falling amount of a fertilizer is adjusted, and the requirement of rice growth on overall nutrients can be better met through the adjustable quantitative feeding device according to specific operation requirements.

The invention relates to a soybean and wheat relay intercropping no-tillage high-low ridge cultivation method which comprises the following steps: step 1, field ridging configuration: performing no-tillage or shallow rotary tillage, and then ridging according to alternately repeated units; each unit comprises a high ridge and an adjacent low ridge, and the ridge surface of the high ridge is higher than the ridge surface of the low ridge to form a height difference; the high ridges are used for planting wheat, and the low ridges are used for planting soybeans; 2, wheat sowing, wherein wheat is sown on the high ridges in the first area in autumn. According to the technical scheme, a comprehensive technical scheme of spatial dislocation (high and low ridges), time dislocation and physical obstruction can significantly improve the growth environment of the soybean seedling stage in a relay intercropping system, reduce the competitive inhibition effect of previous wheat, lay a solid foundation for high yield of soybean, and have an effect obviously superior to that of a traditional relay intercropping mode.