742 results about "Paddy field" patented technology

The invention relates to the field of agricultural data analysis, in particular to a japonica rice paddy field soil carbon nitrogen ratio dynamic intelligent assessment method, which comprises the following steps: acquiring and preprocessing japonica rice paddy field environment time sequence data to obtain a standardized environment data set; performing nonlinear congestion analysis on the soil moisture content state to obtain a corrected moisture dimension distance component; obtaining a corrected temperature dimension distance component by evaluating the metabolism permissible degree of the soil moisture on the temperature effect; performing double weighted fusion on the moisture and temperature correction distance components to obtain a soil environment state clustering result; through coupling calculation of a soil environment state clustering result and a first-order dynamic decomposition model, a dynamic intelligent evaluation result of the carbon-nitrogen ratio of the japonica rice paddy field soil is obtained, so that the problem that existing clustering cannot accurately distinguish aerobic and anaerobic environment states in a japonica rice paddy field scene and causes deviation of the evaluation result of the carbon-nitrogen ratio of the soil is solved.

The invention discloses a gleying rice field intelligent irrigation and drainage regulation and control method based on reinforcement learning. The method comprises the steps that meteorological data, soil data and field surface water level data are collected; calculating crop state information based on the meteorological data and the soil data by using a crop growth model; inputting the meteorological data, the soil data, the field surface water level data and the crop state information into an offline training strategy model, outputting action suggestions, and performing verification and decision making according to preset regulation and control logic in combination with the meteorological data, the soil data, the field surface water level data, an external data source and agronomic rule base data; a control strategy is generated, irrigation, drainage or oxygenation is executed, and irrigation and drainage regulation and control are completed. Compared with the prior art, the method has the advantages that priority regulation and control logic for ORP / pH value real-time feedback is established, a prospective pre-drainage mechanism for rainfall forecast is fused, water layer constraint in the growth period and conditional filtering rules in the fertilization safety period are fused, and a perception-decision-execution closed-loop control system is formed.

The invention discloses a rice field irrigation and drainage decision-making method and system based on human-in-loop reinforcement learning, and the method is realized based on reinforcement learning, and the method comprises the steps: collecting real-time environment parameters of a target rice field in a current decision-making period; constructing an environment state vector based on the real-time environment parameters; constructing an irrigation drainage decision model of a continuous action space based on a soft actor commentator algorithm, wherein the model outputs an action according to the environment state vector; when it is judged that the output action deviates from a reasonable strategy or has a potential risk, a human-in-loop collaborative intervention mechanism in which a human expert participates is introduced, the output action is corrected, and a human-in-loop reward signal is generated through expert intervention; an output action is executed, environment feedback and a multi-target weighted reward signal containing a human-in-loop reward signal are collected, loop iteration is performed based on a closed-loop control system, and the irrigation and drainage decision model is updated; and obtaining irrigation and drainage decision output of the current decision period according to the updated irrigation and drainage decision model.

The invention provides a rice irrigation online learning forecasting method and system, the method is realized according to a pre-constructed physical mechanism-neural network hybrid model based on physical mechanism model prediction and neural network error correction fusion, and the method comprises the following steps: S1, obtaining real-time environment data of a current decision period of a target rice field; s2, on the basis of the real-time environment data of the current decision period, forecasting a paddy field water layer depth predicted value of the next decision period through a physical mechanism-neural network hybrid model, and generating an irrigation drainage forecast in combination with a crop irrigation drainage mode; s3, real-time environment data of the target rice field in the next decision period after irrigation drainage forecast is executed are obtained, training samples are constructed and put into an experience playback pool, and the physical mechanism-neural network hybrid model executes online learning based on the experience playback pool; and S4, when the next decision cycle starts, returning to S2 until a preset stop condition is met.

The invention discloses a rice field crayfish body surface cleanliness improving method based on accurate aquatic plant management and protection and ecological induction, and relates to the technical field of crossing of aquaculture and ecological agriculture. The lifting method comprises the steps that submerged plants are planted in the rice field in February every year, and the submerged plants are trimmed regularly in the cultivation process so that the top ends of the submerged plants can be kept under the water surface; shrimp seeds are put into the rice field, and feed is fed regularly; in the subsequent breeding process, during regular feeding of feed, feeding of crushed pomacea canaliculata is carried out; and after the young crayfishes grow up and shell, catching the crayfishes to obtain the crayfishes with high body surface cleanliness. According to the method, the growth state of the aquatic plants is precisely controlled to construct a natural clean field domain, the functional bait is fed to increase nutrition, meanwhile, friction cleaning is carried out through the feeding behavior, precise fishing is carried out based on the molting period, and therefore the body surface cleanliness of the crayfishes bred in the rice field is improved.

The invention relates to the technical field of data processing, in particular to a rice field gate anti-clogging intelligent monitoring control method, which comprises the following steps of: acquiring multi-dimensional monitoring data of a gate at each monitoring moment in real time, and forming a multi-dimensional monitoring data sequence by the multi-dimensional monitoring data of the gate at each monitoring moment in each operation process; one gate operation process corresponds to one multi-dimensional monitoring data sequence; for any gate operation process, obtaining an optimized gate clogging coefficient of any gate operation process according to the multi-dimensional monitoring data sequence corresponding to any gate operation process; the method comprises the steps of obtaining an optimized gate clogging coefficient of each gate operation process, obtaining a gate clogging trend index by using the optimized gate clogging coefficient of each gate operation process, and carrying out gate clogging prevention intelligent monitoring control according to the optimized gate clogging coefficient and the gate clogging trend index of the current gate operation process. And early-stage, quantitative and trend monitoring of the clogging state of the gate is realized.

The invention discloses a rice growth period distinguishing method and an intelligent irrigation control device. Belongs to the technical field of crossing of intelligent agriculture and irrigation and water conservancy engineering and particularly relates to the technical field of rice growth period judgment and intelligent irrigation. The technical problem that an accurate and effective rice growth period judgment method for guiding intelligent rice irrigation is lacked at present is solved. The method specifically comprises the following steps: calculating a rice growth process index through an improved accumulated temperature model; and constructing a multi-factor coupling growth period judgment method, and judging the current rice growth period through the rice growth process index. The system comprises a sensing unit, a judgment and decision-making unit, an electric execution unit and an input and power supply unit, the judgment and decision-making unit receives the environment data of the rice field and the water layer depth data of the rice field, judges the current growth period of the rice according to a rice growth period judgment method, calculates the current water layer deviation and generates a control instruction to the electric execution unit.

The invention discloses a method and system for evaluating the influence of long-term fertilization on rice field soil heavy metals, and the method comprises the steps: obtaining rice field soil data through a sensor, and obtaining a standardized soil physicochemical property data set and a heavy metal content data set; according to the standardized soil physicochemical property data set and the heavy metal content data set, obtaining a feature vector set reflecting correlation between soil physicochemical properties and heavy metal behaviors; aiming at the feature vector set, obtaining a prediction model for representing the influence of the fertilization mode on the heavy metal mobility; if the heavy metal effective state content output by the prediction model exceeds a preset bioavailability threshold value, classifying the soil physicochemical property data set, judging the influence weight of the soil pH value and the organic matter content on the cadmium mobility, and obtaining the classified soil environment risk grade; and according to the classified soil environment risk levels, obtaining comprehensive rice field soil heavy metal pollution evaluation indexes. The pertinence and effectiveness of pollution control are remarkably improved.

The invention provides the application of the OsLNHG1 gene in regulating and controlling the nitrogen utilization efficiency and the yield of the rice, in a low-nitrogen paddy field, the plant height of an OsLNHG1 gene overexpression plant is remarkably increased, and the tiller number is a core agronomic character for directly determining the yield of the rice. In a normal nitrogen paddy field, the plant height and the effective tiller number of an OsLNHG1 gene overexpressed plant are remarkably increased, a core gene resource is provided for cultivating a new variety of fertilizer-saving high-yield rice, and the gene has great significance for agricultural sustainable development.

The invention belongs to the technical field of crop pollution prevention, and particularly relates to a rice heavy metal adsorption and isolation method based on iron agent regulation and control. According to the method, the iron agent is applied to the polluted rice field soil to induce the soil-rhizosphere interface to form an iron film, heavy metals (such as As, Cu, Pb and Cd) are fixed by virtue of adsorption and complexing effects of the iron agent, and migration of the heavy metals to rice roots is reduced, so that accumulation of the heavy metals at edible parts (leaves and ears) of the rice is reduced; the tolerance of the rice in a polluted environment is enhanced; and the risk of heavy metals in a food chain is reduced. Experiments show; through treatment of an iron film formed by a certain iron-based concentration, accumulation of the heavy metals in the rice leaves can be remarkably reduced, and the accumulation amount of the heavy metals in the rice leaves is far lower than the accumulation amount (1 / 40-1 / 120) of the heavy metals in rice roots. The invention provides an effective solution for farmland soil remediation and crop safety production.

The invention relates to the field of disease control, and discloses a semantic segmentation and grading method for cross-scale identification of rice black dwarf disease and lodging, and the method comprises the following steps: S1, collecting rice field data under different elevation scales, and processing the data through software to obtain image data; s2, based on the altitude information of the DSM, determining a classification threshold by combining elevation error correction and height distribution difference statistical analysis, and constructing a DSM-guided auxiliary supervision mask; s3, constructing a cross-scale semantic fusion network, and inputting the image data set in S1 and the auxiliary supervision mask in S2 into the network for training to obtain a rice black dwarf disease and lodging detection model; and S4, predicting by using the rice black dwarf disease and lodging detection model in the S3. By constructing a digital surface model and a digital orthoimage with aligned pixels and combining elevation error correction, accurate association of rice field data under multiple elevation scales can be realized, and support is provided for rice black dwarf disease and lodging identification.

The invention discloses a Chinese wolfberry seedling raising method for improving paddy field soil, which comprises the following specific steps: collecting cutting slips: collecting branches with the diameter of more than 0.3 cm, cutting the branches into cutting slips with the length of 12-15 cm, and reserving 2-3 tender shoots on each cutting slip without damage; rooting liquid treatment: preparing a rooting liquid, and soaking the positions 3-5 cm above the bottom ends of the cutting slips in the rooting liquid for 12-24 hours; the rooting liquid is mainly prepared from rice vinegar and brown sugar; temperature-controlled root promoting: controlling the environment temperature to be 15-25 DEG C, and vertically inserting the cutting slips treated by the rooting liquid into the seedling raising container; the seedling raising container is filled with improved paddy field soil in advance; when 1-2 tender shoots newly grow on the cutting slips and 7-8 tender leaves grow on the cutting slips, shoot tips are removed, so that the tender shoots on the cutting slips are converted into semi-lignified from fleshy, apical dominance is inhibited, rooting is promoted, and seedling raising is continued; when new buds grow out again, seedling raising is completed, and the seedlings are transplanted to a field for planting. The lycium barbarum seedling raising method has the advantages of being low in cost, environmentally friendly, high in survival rate, suitable for improved paddy field soil and the like.

The invention belongs to the field of agriculture, and particularly relates to a rice field canal mouth irrigation and drainage gate opening and closing control method based on motor pulse and torque. Increasing the pulse of the motor to continuously move the gate and reading the torque of the motor; and judging whether the torque of the motor exceeds a set resistance threshold value or not, and if so, entering the next step and the like. The pulse number of the motor is matched with the rotation torque of the gate, the state of the water gate is judged according to the obtained pulse state of the motor and the returned torque, so that the problems existing in the operation process of the rice field irrigation and drainage gate are solved, and the method has the advantages of being high in efficiency, saving time and labor and not prone to making mistakes.

The invention discloses a full-hydraulic rice transplanter equipment state regulation and control method and system based on industrial design, and relates to the technical field of agricultural rice transplanters, and the method comprises the steps: obtaining the initial state of a rice transplanter, and collecting the environment data information of an operation farmland; determining the initial field entering state of the rice transplanter according to the environment data information of the operation farmland and the initial state of the rice transplanter. Whether the rice transplanter meets the operation requirements of the rice transplanting depth, the rice transplanting position and the like in the operation farmland or not is determined according to the initial state of the rice transplanter and the environmental factor influence of the operation farmland, and then full-hydraulic dynamic adjustment can be conducted according to the field entering posture of the rice transplanter and the farmland environment so as to adapt to the rice field environment change; and the reliability of farmland operation is ensured. The defect that in the prior art, a rice transplanter cannot conduct self-adaptive work regulation and control in a complex rice field environment is effectively overcome.

The present application belongs to the technical field of biochar oxygen-releasing materials, and particularly relates to a carbon-based calcium peroxide material with oxygen-releasing function, a preparation method and application thereof. Silicon-rich agricultural waste is converted into biochar through controllable pyrolysis, the pore structure of the biochar is regulated, mesoporous biochar is prepared, the mesoporous biochar is modified by phosphates to prepare phosphorus-rich biochar, and finally, the phosphorus-rich biochar is combined with calcium peroxide to obtain the carbon-based calcium peroxide material with oxygen-releasing function. The material has excellent oxygen-releasing performance and can continuously and stably release oxygen into the soil. Meanwhile, the phosphorus-rich biochar can also provide phosphorus nutrients to promote the growth of rice. The material can be widely applied to the improvement of gleyed paddy fields, effectively solves the problem of soil oxygen deficiency, improves soil fertility and rice yield, and has the characteristics of environmental protection, economy and high efficiency.

The invention provides an interactive three-dimensional holographic display method for a smart farm, and relates to the technical field of smart agriculture and holographic visualization. Comprising the following steps: firstly, performing multi-angle aerial photography in different growth stages of a rice field through an unmanned aerial vehicle to collect image data; processing the data by using a three-dimensional reconstruction algorithm, and constructing a three-dimensional model library of the rice field; on the basis, a voice interaction module is integrated to a visual platform, so that a user can select and switch models and inquire growth information through voice control; further converting the selected three-dimensional model data into structured data suitable for holographic reconstruction, and generating a high-fidelity digital hologram by applying a complex-valued convolutional neural network point cloud gridding algorithm; and finally, performing optical reconstruction on the hologram by driving holographic display equipment. According to the method, the limitation of a traditional two-dimensional image in space and time sequence expression is overcome, dynamic visualization of the rice field growth process is achieved, and the monitoring and decision-making effects are improved.

The invention relates to the technical field of agricultural environment information, and discloses a rice field nitrogen and phosphorus loss amount remote regulation and control method oriented to environment data. The method comprises the following steps: acquiring historical nitrogen and phosphorus loss data, real-time meteorological data and water and fertilizer operation information of the rice field; constructing a mechanism constraint sub-model fusing nitrogen migration and transformation kinetics and phosphorus adsorption and desorption balance; performing multi-source feature extraction on the meteorological data to generate a standardized environment vector; inputting the lightweight residual convolutional neural network to output an initial prediction value; on-line fine adjustment is carried out through a Lagrangian multiplier method in combination with the mechanism model, and a corrected predicted value conforming to substance conservation is generated; and when the predicted value exceeds a threshold value, generating a drainage gate opening degree and fertilization plan adjustment instruction, and issuing the instruction to an edge terminal for execution through the narrowband Internet of Things.

The invention belongs to the technical field of remote sensing image processing agricultural information, and particularly relates to a DS-xNet-based multi-source remote sensing time sequence data cultivated land utilization current situation extraction method. According to the method, the cultivated land and the water body can still be reliably recognized under the cloud or fog condition by combining Sentinel-1 and Sentinel-2, missing detection and misjudgment caused by cloud shielding are reduced, sNET captures short-term dynamic conditions, and mNET matrix memory enhances long-term dependence modeling, so that the recognition precision of seasonal and interannual changes is improved, supervision is applied to a branch and fusion layer, and the recognition accuracy of the cultivated land and the water body is improved. According to the method, each branch can learn independent discrimination capability and can cooperatively improve fusion output, over-fitting is reduced, generalization capability is improved, training convergence is accelerated, channel splicing retains discrimination information of each modal in a fusion stage, modal information conflict or loss caused by direct early fusion is avoided, classification accuracy is improved, and classification efficiency is improved. Various optical and radar indexes are combined and used to enhance the distinguishing capability of paddy fields, irrigation areas, different crops and non-cultivated areas.

The utility model discloses a foldable mesh cage type ampullaria gigas trapping device, and relates to the technical field of biological control. Comprising a folding net cage main body, a snail collecting cage arranged on the folding net cage main body and communicated with the interior of the folding net cage main body, a food calling bag arranged in the folding net cage main body in the length direction, a food calling agent contained in the food calling bag, a plurality of snail inlets formed in the folding net cage main body and guide assemblies arranged on the outer sides of the snail inlets. One end of the folding mesh cage body away from the conch collecting cage is closed; each pomacea canaliculata collecting cage is provided with a funnel-shaped inlet for collecting pomacea canaliculata and a closed net bag, and a phagostimulant is placed in the closed net bag; the portable folding chair is reasonable in design, has a foldable design, and is convenient to carry and store. The net cage structure effectively traps the ampullaria gigas and prevents the ampullaria gigas from escaping, and meanwhile a phagostimulant can be placed to attract the ampullaria gigas to enter the net cage. The device is suitable for rice fields and other aquatic environments, is easy to install and can be repeatedly used, and pollution to the environment is greatly reduced.

The invention discloses a rice blast prevention and control and fertilizer efficiency improvement dual-objective optimization method, and relates to the technical field of agricultural informatics, and the method comprises the following steps: S1, data collection: obtaining rice field environment parameters, rice plant physiological parameters and pathogenic bacteria infection pressure indexes in real time; s2, constructing a double-objective collaborative optimization model: based on the data in the step S1, establishing a dynamic decision-making model which takes the maximization of the fertilizer efficiency utilization rate and the minimization of the rice blast occurrence risk as a combined objective. According to the method, a dynamic decision-making model taking maximization of the nitrogen fertilizer utilization rate and minimization of the rice blast severity as a combined target is constructed, the nitrogen fertilizer application amount, the bactericide type and the time sequence are subjected to collaborative optimization, a weight coefficient is introduced into the model, the target priority is dynamically adjusted according to the growth period, and the nitrogen fertilizer application amount is restrained in an agronomic safety interval; diseases caused by excessive application of nitrogen are avoided, positive correlation between the nitrogen fertilizer and the diseases is reduced from the source, pesticide dependence is reduced, and double improvement of the control effect and the fertilizer effect is achieved.

The invention provides a low-hill mountainous area non-point source pollution intelligent prevention and control and gradient utilization system, and relates to the technical field of low-hill mountainous area agricultural non-point source pollution prevention and control. The system comprises a drainage ditch, a water quality on-line monitoring module, an intelligent gate, a multi-stage ecological ditch pond, a direct drainage channel, an internet-of-things intelligent management and control platform and a stepped rice field. The system drives the intelligent gate to perform diversion according to a pollution index threshold value based on monitoring data, high-pollution water enters the multi-stage ecological ditch pond to be purified, low-pollution water is discharged through the direct discharge channel, and purified tail water is reused for the cascade rice field. Self-flow conveying is achieved by means of the regional height difference, a collaborative prevention and control mechanism of process interception, tail end purification and resource recycling is constructed, scientific prevention and control of pollution, intelligent management and efficient utilization of resources are achieved, the non-point source pollution treatment effect is remarkably improved, and continuous circulation of water and fertilizer resources is promoted.

The application discloses a kind of rice field soil lead pollution analysis method and system, method includes: obtaining the current soil attribute data set of target rice field and soil moisture content distribution data, combine future expected water management parameters, simulate moisture content space-time variation sequence by soil water migration model;Dissolution-precipitation equilibrium tendency state index of each time step Pb is calculated based on moisture content change and soil attribute, the advancing track of Pb active front is identified;The front track is overlaid with the current rice Pb overproof risk spatial distribution, and the potential Pb activation amplification area is determined;Along the front advancing direction, strip-shaped analysis unit is divided, and Pb pollution risk evolution index is calculated by combining front arrival time and current risk value;Finally, the analysis report containing amplification area position, risk evolution order and leading factor diagnosis result is output.The technical leap of rice field Pb pollution risk from "static status evaluation" to "dynamic evolution prediction" is realized.

The application provides a floating type paddy field ridge furrow water quality filtering and recycling integrated device. The floating type paddy field ridge furrow water quality filtering and recycling integrated device comprises a floating water suction head, a ring-shaped floating body assembly for providing floating force, and a water suction assembly suspended in the center of the ring-shaped floating body assembly, the water suction assembly being used for sucking water from the upper layer of a water body; a filtering bin fixedly arranged at the bottom of the ridge furrow, a spiral blade assembly arranged in the inside of the filtering bin along the central axis of the filtering bin, and a filter material reaction layer annularly arranged on the radial outside of the spiral blade assembly; a telescopic flow guide pipe connected with the water suction assembly and the filtering bin and used for guiding water from the floating water suction head into the filtering bin; and a base connected with the bottom of the filtering bin and used for fixing the filtering bin at the bottom of the ridge furrow. The floating type paddy field ridge furrow water quality filtering and recycling integrated device provided by the embodiment of the application can adapt to the change of the water level of the ridge furrow, has low energy consumption, can efficiently remove organic pollutants and pesticide residues, and has the functions of water and fertilizer recycling.

The utility model relates to a sampling device for paddy field deep soil in an irrigation period, and relates to the technical field of soil sampling devices. The sampling device for the deep soil of the paddy field in the irrigation period comprises a cylinder body, a soil column cutting part and a bulldozing device, wherein a sampling hole penetrating through the two ends in the axial direction of the cylinder body is formed in the cylinder body; an overflow port communicated with the sampling hole is formed in the upper end of the cylinder body or the side wall close to the upper end; an inserting channel is formed in one side of the cylinder body, and the soil column cutting-off piece comprises a connecting part and a cutting-off shovel fixedly connected to the end of the connecting part; the cutting shovel can penetrate through the insertion channel to be inserted into the sampling hole and is used for cutting the soil column in the sampling hole; the bulldozer comprises a push rod and a piston push block fixedly connected to the end of the push rod, and the piston push block can stretch into the sampling hole to be used for pushing out the soil column in the sampling hole. The whole sampling device is simple in structure, low in manufacturing and using cost and convenient and reliable to use.

The invention belongs to the technical field of rice cultivation and soil improvement, and particularly relates to a fertilization method for acid rice field soil improvement and application thereof. According to the method, an organic fertilizer is used for replacing 25% of conventional formula fertilizer (formula fertilizer containing nitrogen, phosphorus and potassium), and medium trace elements of magnesium, boron and zinc are applied in a combined manner; or medium trace elements such as magnesium, boron and zinc are additionally applied on the basis of application of a conventional formula fertilizer, and quick lime is added, so that the problem of aggravated soil acidification caused by application of a single chemical fertilizer is relieved, the rice yield is increased, meanwhile, the content of exchangeable acid in soil is reduced, and the total amount of exchangeable salt-based ions in the soil and the effective state content of elements are increased, thereby increasing the pH of the soil and improving the yield of the rice. The acid resistance of the soil is enhanced, and the acid soil is effectively improved.

The invention discloses a bionic walking device for a paddy field, and belongs to the technical field of agricultural machinery. The walking device comprises a rack, a transmission mechanism, a power system and four mechanical legs, the lower portions of the two sides of the rack are each provided with two mechanical legs, and each mechanical leg comprises a leg mechanism and a sole assembly; a power system is arranged on the machine frame and transmits power to the leg mechanisms through a transmission mechanism, and lifting and falling of the leg mechanisms are achieved. The foot sole assembly comprises a supporting palm, a middle toe and two side toes, when the leg mechanism drives the supporting palm to fall, the side toes on the two sides are opened, the contact area with mud soil is increased, and the walking device is prevented from sinking; when the leg mechanism drives the supporting palm to lift up, the side toes on the two sides contract, and the resistance between the foot sole and mud soil is reduced. The problems that a common walking mechanism is large in walking resistance and difficult to turn in the muddy soil environment of the paddy field, the soil environment of the paddy field is damaged, and seedlings are pressed and damaged are solved.

This hydraulically driven, intelligent paddy field weeding and cultivation unit is an agricultural machine. The unit is equipped with a pressure-fluid source system consisting of a herbicide liquid tank, a pump assembly, a towerless liquid supply unit, a hydraulic sensor, a safety valve, and a hydraulic solenoid valve; a mechanical weeding and cultivation system consisting of flexible hoses, fixed pipe clamps, rigid pipes, a cylindrical shaft, a sleeve, fixed blades, moving blades, a barrel-type nozzle, and spiral blades; a positioning and adjustment mechanism consisting of a micro-screw linear module, a Π-shaped frame, a transverse track, a slider, a motor, cylindrical gears, a base plate, and a rack; a weed identification and positioning system consisting of a weed identification sensor; and an automatic control box assembly. This unit achieves an intelligent combination of hydraulically driven shearing and pulverizing mechanical weeding and chemical weeding through liquid flow delivery. It features a novel, unique, and reasonable structure, excellent weed control effect, low pesticide residue on crops, and minimal environmental pollution.

The application discloses a kind of rice field soil arsenic pollution reduction repair method, comprising the following steps: S1, rice seedling raising;S2, in 1-2 weeks before transplanting, to the arsenic pollution rice field soil to be repaired modified biochar is added, then waterlogging treatment is carried out;S3, 1-2 weeks later, shallow water rice transplanting is carried out, and 3-5 days are waited for rice seedling to return green, and water is intensified management;S4, in early heading stage of rice, aboveground rice straw is harvested from field, then soil ploughing is deep ploughing and broken, irrigation is carried out, so that root system floats to water surface, and is all collected from field;S5, level field and drain to surface layer contains shallow water, repeat steps S2-S4.The application is loaded on biochar by microorganism and combined with the method of water intensification management plant absorption, in heading stage of rice, aboveground straw enriched with arsenic is removed from field with underground root system as a whole, and combined with periodic repetition operation, the total amount of arsenic in soil is substantially reduced.

The invention relates to a paddy field light chassis space six-connecting-rod steering trapezoidal control system and method based on a kingpin inclination angle. The system comprises a paddy field light chassis, a steering trapezoidal control system and a steering trapezoidal control system, wherein the paddy field light chassis is used for mounting a paddy field agricultural implement; the space six-connecting-rod steering trapezoid is arranged below the front end of the paddy field light chassis and used for steering the paddy field light chassis; the electronic gyroscope is arranged in front of the space six-connecting-rod steering trapezoid and used for measuring main pin inclination angle data and inner and outer steering wheel rotation angle data; the vehicle-mounted embedded microcontroller is arranged on the light chassis of the paddy field, is respectively connected with a steering wheel and an electronic gyroscope which are arranged on the light chassis of the paddy field, and is used for turning the electronic gyroscope after receiving a steering command of the steering wheel; according to the main pin inclination angle data and the steering wheel steering input data collected in real time, the steering angle is calculated according to the steering trapezoid two-dimensional kinematics control model, and then the steering angle is sent to the space six-connecting-rod steering trapezoid to conduct steering action, the sideslip phenomenon in paddy field operation is effectively restrained, and the operation precision of agricultural implements is guaranteed.

The invention discloses a waterlogging-resisting, seedling-protecting, drought-resisting and harvesting-protecting planting method for oilseed rape in a rice field, and belongs to the technical field of crop planting. (2) after the rice is harvested, when a tractor does not sink during operation, selecting a sunny day to crush the straws, and naturally and uniformly dispersing the crushed straws in the field; (3) when there is no open water in the field and the tractor is not trapped during operation, turning over once by using the tractor, and carrying out rotary tillage twice so as to uniformly mix the straws and the soil; (4) after the rotary tillage operation is completed, ditching operation is carried out, the width of a planting compartment surface is 140 cm, and the raised part of the earth surface is leveled; and (5) after leveling, using a seeder to perform film mulching, fertilization and seeding according to a wide row: narrow row ratio of 50cm: 30cm. In this way, waterlogging damage can be relieved, weeds are inhibited, drought resistance and water retention are achieved, the water and fertilizer utilization rate is increased, and finally disaster avoidance and reduction, high yield and high efficiency of rice field oilseed rape are achieved.