951 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 method and a system for predicting diseases and insect pests of saline-alkaline tolerant rice based on artificial intelligence. The method comprises the steps of collecting rice data, optimizing the rice data, establishing a prediction model for the diseases and insect pests of the saline-alkaline tolerant rice and predicting the diseases and insect pests of the saline-alkaline tolerant rice. The invention belongs to the technical field of agricultural information, and particularly relates to a method and a system for predicting diseases and insect pests of saline-alkali tolerant rice based on artificial intelligence. According to the scheme, rhombic plot segmentation is dynamically adjusted according to the irregular terrain and the saline-alkali accumulation area boundary of the saline-alkali tolerant rice field, and the collaborative weight is calculated based on the saline-alkali stress degree and the disease and insect pest risk level; key region learning is enhanced in combination with a plot total score and a selection probability formula; a plot score, a neighborhood pest and disease density mean value and a neighborhood saline-alkaline gradient are introduced into a spatial branch, so that the capturing capability of spatial correlation is improved; on the basis of the dynamic adjustment tolerance threshold, the influence of the extreme value is limited through the loss upper limit coefficient, a pest and disease prediction error regulation and control function is constructed, and the pest and disease prediction accuracy is improved.

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 belongs to the technical field of modern agricultural precise planting and plant nutrition regulation and control. The invention provides a method for precisely applying selenium to oilseed rape leaf surfaces based on dynamic regulation and control in a growth period, enriching selenium, reducing cadmium and increasing yield. A sodium selenite solution is sprayed to the leaf surfaces in the key growth period of oilseed rape. The method can effectively improve the selenium content of each part of the oilseed rape, reduce the cadmium content of grains and guarantee the yield, is suitable for safe production of oilseed rape replanting in medium-light cadmium-polluted rice fields in the south of China, can be widely applied to standardized production of selenium-rich oilseed rape in main winter oilseed rape producing areas in the Yangtze River basin, and has wide application prospects. The method has important practical significance in improving agricultural quality and efficiency, guaranteeing food safety and promoting income increase of farmers.

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 soil risk assessment method for a red-soil rice field, particularly relates to the field of soil risk assessment, and aims to solve the problems that an existing method cannot accurately identify the hypoxia risk below a plough layer and the influence of the hypoxia risk on a root system. The method comprises the following steps: constructing a joint monitoring mechanism of heat flux and oxygen concentration, extracting metabolic heat release power and an oxygen consumption trend, identifying a reduction dominant region below a plough layer, fitting a space boundary of the reduction dominant region, and establishing a three-dimensional distribution diagram of an oxygen deficit dominant region; the method comprises the following steps: extracting an overlapped space boundary of a root zone and an anoxic zone in combination with a crop root system distribution condition, analyzing a contour expansion rate and a root zone change characteristic in a continuous monitoring time period, and constructing a soil degradation trend identification parameter set; and finally, performing score mapping on the parameter sequence according to a preset degradation judgment weight, generating a soil degradation risk grade map covering the whole red soil rice field region, and having a soil risk expression capability with high spatial resolution and high judgment precision.

The invention relates to the technical field of image processing, and relates to an unmanned aerial vehicle-based rice field soil heavy metal dynamic monitoring method and system, and the method comprises the steps: obtaining image data of a rice field region, and determining a first heavy metal index of rice field soil in the image data through a preset water body absorption index; dividing the rice field area into a plurality of rice field sub-areas, and obtaining a second heavy metal index corresponding to each rice field sub-area; determining a spatial stability coefficient and a time trend coefficient by using the second heavy metal index; determining a comprehensive quantitative index by using the spatial stability coefficient and the time trend coefficient, and determining a heavy metal monitoring result of the soil in the rice field region according to the comprehensive quantitative index; according to the method, the influence of environmental interference on data accuracy is reduced by inhibiting water body signals, after soil heavy metal indexes of all areas are obtained, time-space associated comprehensive indexes are constructed to quantify the change condition of heavy metal pollution in the areas, and dynamic monitoring of the rice field heavy metal is implemented according to the quantitative result.

The invention discloses a rice disease and insect pest image real-time identification and decision-making system based on deep learning, and particularly relates to the technical field of agriculture. A multi-modal fusion identification module; a resistance decision engine module; a dynamic prevention and control execution module; and a feedback optimization module. According to the invention, through a new intelligent plant protection normal form of intelligent perception-collaborative decision-precise execution-closed loop evolution, a multi-spectral imaging and microscopic feature synthesis technology is utilized, the bottleneck of traditional diagnosis is broken through, early-stage precise recognition of diseases and insect pests is realized, a medicament-pathogenic bacteria-natural enemy tripartite game model and a multi-objective optimization mechanism are innovatively constructed, and the method has a wide application prospect. The ecological regulation and control capability of the rice field is activated while the risk of drug resistance is avoided, it is ensured that prevention and control measures accurately reach a target by means of the three-dimensional profiling spraying and natural enemy synergistic release technology, residual feedback and model self-iteration are fused in the whole process, a prevention and control closed loop which is more intelligent is formed, and an evolvable digital solution is provided for rice green production.

The invention discloses a soil-plant carbon element tracking method and system based on isotope labeling, particularly relates to the technical field of soil carbon cycle in-situ detection, and is used for solving the technical problem that a carbon migration path in a rice rhizosphere heterogeneous micro region cannot be distinguished in the prior art. The method comprises the following steps: arranging a spatial coding microprobe array on a rice root system and a soil interface of a rice field, synchronously applying a C13 labeled compound, and continuously obtaining a grid node oxidation-reduction potential and a carbon isotope abundance value; dividing the boundary of a root surface oxidation layer and an anaerobic layer based on day and night oscillation phase difference mutation; detecting peak displacement migration from carbonyl bonds to carbon-carbon bonds in a boundary transition region by adopting an in-situ Raman spectrum, and correcting a space boundary; partitioning and clustering carbon isotope abundance values according to the corrected boundary, and identifying hot spot boundaries of a root tip secretion active region, a microorganism enrichment region and a mineral binding region; calculating the carbon isotope flux gradient in each region and generating a spatial distribution map; in-situ analysis of a rhizosphere carbon migration path is realized, and rice field carbon cycle research precision is improved.

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 technical field of microbial fermentation and biological agriculture, and discloses a rice straw decomposition agent as well as a preparation method and application thereof. The rice straw decomposition agent is obtained by adopting bacillus megatherium (Bacillus megatherium) Z101 to be subjected to fermentation culture after activation of the bacillus megatherium Z101. The application method comprises the steps that harvested rice straw is flatly laid in a rice field, the water level of the rice field is kept to submerge the rice straw, then the rice straw decomposition agent is diluted with water and then sprayed to the surface of the laid rice straw for decomposition fermentation treatment, and decomposed rice straw is obtained. The rice straw decomposing inoculant is a fermentation culture solution of bacillus megatherium Z101, and compared with a fermentation culture solution obtained by conventional bacillus megatherium in the market, the rice straw decomposing inoculant has higher rice straw decomposing efficiency and speed, in-situ decomposing and field returning of rice straw are facilitated, and a new application way is provided for the bacillus megatherium Z101.

The invention belongs to the technical field of new materials, and particularly discloses nitrogen-rich activated carbon for soil mercury passivation and a preparation method and application thereof.The preparation method comprises the steps that dicyandiamide is subjected to a hydrothermal reaction to obtain a porous g-C3N4 precursor, then the porous g-C3N4 precursor and activated carbon are evenly mixed, and finally heat treatment is conducted to obtain the nitrogen-rich activated carbon. The prepared nitrogen-rich activated carbon can effectively remove dissolved mercury in a rice field. The cost is low, the preparation method is simple, and the prepared nitrogen-rich activated carbon is stable in structure, large in specific surface area, multiple in active sites and capable of effectively resisting interference of soluble organic matter and coexisting ions in soil, efficient fixation of biological available mercury in soil pore water is achieved, and generation of methyl mercury is reduced to the maximum extent.

According to the rice cultivation seedbed field surface terrain and cultivation depth integrated measurement method and the rice cultivation seedbed preparation equipment, a rotary cultivator serves as a measurement platform, and a double-antenna GNSS and an IMU are installed on a rack and a dragging plate respectively so as to measure the course angle, the pitch angle and the roll angle of the cultivator and the rotation angle of the dragging plate relative to the rack; establishing a vehicle body coordinate system; establishing a spatial position vector of the deepest soil cutting point of the rotating blade and a carriage profiling point under a vehicle body coordinate system; during rotary tillage operation, a homogeneous coordinate transformation method is adopted to synchronously measure three-dimensional coordinates of the deepest soil cutting point and the profiling point under coordinates of the east, north and sky, and a deepest soil cutting point set and a profiling point set are constructed; combining the two point sets, extracting plane coordinates of the farmland boundary, and arranging plane grid points; estimating the field terrain height of each plane grid point by using the profiling point set; and estimating the tilling bottom layer terrain height of each plane grid point by using the deepest soil point set, and calculating the tilling depth of each grid point. The invention has high efficiency and accuracy, and belongs to the mechanical agricultural equipment manufacturing technology.

The invention is suitable for the technical field of intelligent agricultural irrigation, and provides a rice field fertilizer and water intelligent irrigation measurement and control method and system based on multi-source information fusion, and the method comprises the following steps: determining a target fertilizer and water demand through a quantitative relation model of fertilizer and water input and crop growth response according to a rice seedling growth stage; based on an improved D-S evidence theory algorithm, fusing real-time multi-source monitoring data, dynamically evaluating an environment state of a current planting area according to a target fertilizer and water demand quantity, and combining future weather prediction data to generate an irrigation decision result considering crop demands and resource saving; and based on a fuzzy PID control algorithm, fertilizer and water irrigation operation is automatically controlled according to an irrigation decision result. According to the method, the comparison database is established by collecting the requirements of crop characteristics and growth cycles for environmental moisture and nutrients, the irrigation process is comprehensively decided according to the crop growth cycles, weather and other factors, the utilization efficiency of water resources and fertilizer is effectively improved, and the method has a good application effect.

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.

A method for optimizing the natural frequencies of a paddy field grader structure based on dimensional linkage and response surface methodology is disclosed. The method comprises the following steps: S01: Establishing a simplified 3D model of the paddy field grader structure; S02: Parametrically configuring the model; S03: Linking SolidWorks and Workbench to establish dimensional relationships and a set of dimensional parameters; S04: Performing modal analysis to obtain the total deformation and the first six natural frequencies of the grader structure, setting some output results as output parameters and adding them to the dimensional parameter set; S05: Performing sensitivity analysis on the dimensional parameter set to select input parameters with higher overall sensitivity values; S06: Performing multi-objective response surface optimization to obtain the optimal design parameters; S07: Reconstructing the model based on the optimal parameters and performing modal analysis to confirm the optimization effect. This invention can accurately and efficiently optimize structural parameters using response surface methodology to improve their natural frequencies and reduce resonance risk, belonging to the field of agricultural machinery structure optimization technology.

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 invention belongs to the technical field of microbial fermentation and biological agriculture, and discloses a soil remediation fungicide as well as a preparation method and application thereof. The preparation method comprises the following steps: activating bacillus megatherium Z101, inoculating the activated bacillus megatherium Z101 into fermentation liquor containing rice straw powder, carrying out fermentation culture, and carrying out vacuum spray drying on fermentation mixed liquor after fermentation is completed, so as to obtain soil remediation bacterium powder; or further mixing the soil remediation bacterium powder with auxiliary materials and water, and granulating to obtain the soil remediation bacterium granules. The application method comprises the following steps: in a rice planting stage, applying the soil remediation fungicide and an inorganic fertilizer together to remedy rice field soil and promote rice growth. The soil remediation fungicide prepared by fermentation culture of the bacillus megatherium Z101 has remarkable advantages in the aspects of rice yield increase, soil pH value increase and physicochemical property improvement, and a new application way is provided for the bacillus megatherium Z101.

The invention discloses an Elodea nuttallii transplanting and maintaining method for breeding procambarus clarkia in a rice field in the technical field of aquaculture, and relates to six links of rice field transformation and treatment, shallow trench digging and base fertilizer application, Elodea nuttallii transplanting, Elodea nuttallii topdressing, Elodea nuttallii maintaining and water quality regulation and control. The method comprises the following steps: applying a fertilizer A according to the amount of 5-10 kg / mu for topdressing, applying a fertilizer B according to the amount of 4-8 kg / mu in March-April, putting duckweed on the water surface in a high-temperature season in May and in a rooting stage and a flowering stage of elodea nuttallii, controlling the putting area of the duckweed to be 50 + / -5% of the area of a culture water body, and applying a fertilizer C according to the amount of 4-8 kg / mu. The root growth and development of the elodea nuttallii are promoted. By means of the waterweed transplanting and maintaining method for breeding the procambarus clarkii in the rice field, the waterweed can still keep vigorous vitality in the middle ten days of July, and the requirement for the breeding environment of the procambarus clarkii in the high-temperature summer season is met.

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 discloses a lightweight rice field disease detection method based on improved YOLOv10n, which comprises the following steps: firstly, constructing a rice field disease data set, preprocessing, dividing into a training set, a verification set and a test set, and augmenting the training set; then a C2fCIBPPA module, an SPDConv module and a C2fCIB module are introduced to improve the YOLOv10n model, and an optimized YOLOv10n model is obtained and trained; secondly, converting a weight file in a PT format of the trained optimized YOLOv10n model into a weight file in an ONNX format to obtain an ONNX model of YOLOv10n; then, an operation environment required by an image processing dependency library, a camera driver and ONNX Runtime is configured on the operation equipment; then preprocessing a rice field image collected by a camera, inputting the rice field image into an ONNX model, outputting a detection frame containing a target category, position information and confidence, screening out a high-confidence detection frame, and drawing the high-confidence detection frame to an original rice field image; finally, the detection frame is transmitted to an upper computer through remote communication for visual display, and a rice field disease detection result is obtained. The rice field disease detection precision and efficiency are improved.