380 results about "Arable land" patented technology

The invention relates to the technical field of agricultural environment monitoring, and discloses a cultivated land quality monitoring method. The method comprises the following steps: acquiring soil multi-parameter data, and carrying out sensor network deployment and anti-interference processing; performing exception filtering, standardization and missing value interpolation on the data; cloud storage data are generated through sliding window segmentation and encryption compression; generating a monitoring report based on the multi-dimensional analysis and the dynamic chart; adopting a plurality of intelligent algorithms to identify abnormal modes and constructing an early warning strategy library; and finally, real-time monitoring and early warning grade division are realized. According to the invention, full-process automatic monitoring and intelligent early warning of the cultivated land quality are realized, and the monitoring precision and the decision-making efficiency are obviously improved.

The invention provides a special charcoal-based slow-release fertilizer for sandy soil as well as a preparation method and application thereof, and belongs to the technical field of fertilizers. The special charcoal-based slow-release fertilizer for the sandy soil is prepared from amino modified biomass charcoal, urea, urea formaldehyde, monoammonium phosphate, potassium sulfate, polyglutamic acid, fulvic acid, clay, attapulgite, a compound microbial agent and sodium alginate. The compound microbial agent is prepared from halomonas (ACCC 11681), bacillus subtilis (ACCC 60429) and bacillus mucilaginosus (ACCC 10094), and the compound microbial agent is prepared from bacillus subtilis (ACCC 60429) and bacillus mucilaginosus (ACCC 10094). The invention further provides a preparation method and application of the special charcoal-based slow-release fertilizer for the sandy soil. The special charcoal-based slow-release fertilizer for the sandy soil can remarkably improve the water and fertilizer retention capacity of the sandy soil, improve the farmland productivity of the sandy soil, save fertilizer and water input and improve the yield and quality of crops.

The invention relates to the technical field of agricultural data analysis, in particular to a land reclamation suitability evaluation and cultivated land quality improvement method based on big data, which comprises the following steps of: acquiring and superposing land utilization, soil and elevation data to construct a multi-source land attribute evaluation data set, calculating the distance from a pattern spot to a water source, reconstructing a weight through Gaussian attenuation, and calculating the land utilization, soil and elevation data; the method comprises the following steps: forming a spatial distance weighted feature matrix, extracting a gradient and an irrigation guarantee rate, performing weight reduction on an overrun part of a conflict threshold value, performing linear weighting calculation on a comprehensive score after normalization, dividing a regulation priority area, matching quality improvement measures, and forming a cultivated land quality improvement project layout map. A pattern spot level evaluation basis is formed through multi-source attribute space superposition, water source distance attenuation calculation is introduced to enable weight to change along with reachability, irrigation difference response is enhanced, conflict constraint correction is carried out on gradient and irrigation guarantee, adverse combination influence is inhibited, stable sorting is formed through uniform scale weighting, and the method is applied to the field of irrigation. And improvement priority area identification and quality improvement measure directional configuration are supported.

The invention discloses a county planting and breeding space collaborative optimization method, which comprises the following steps of: constructing an economic-ecological-planting and breeding coupled multi-target model, setting dynamic constraint conditions such as water resources and cultivated land, generating a Pareto non-inferior solution set by combining an NSGA-III algorithm, performing optimization such as chromosome coding and fitness calculation, and simulating a future land utilization pattern by utilizing a PLUS model. The method integrates multiple benefits, breaks through the limitation of a single target, and overcomes the defect that a traditional method is difficult to balance multiple targets; an optimization algorithm and a simulation model are deeply fused, a historical data trend is mined, and the problem of simulation and optimization disjunction is solved; through a fine constraint mechanism and optimization design, the method adapts to resource changes, improves accuracy, and provides scientific support for county planting and breeding space layout.

The invention belongs to the technical field of image processing, and particularly relates to a crop fine classification method based on multi-dimensional spectral characteristics. The method comprises the following steps: firstly, acquiring a single-temporal high-resolution remote sensing image, calculating multiple spectral indexes and generating an image grid; based on a cultivated land parcel extraction result, selecting a classification annotation sample by superposing a remote sensing image; respectively cutting the remote sensing image and the spectral index grid and carrying out multi-channel synthesis; and then dividing a data set, constructing a deep learning model, training, verifying, and carrying out global reasoning to output a result. According to the method, the accuracy is improved through the multi-dimensional spectral index, and fine classification of different crops is adapted; based on cultivated land pattern spot classification, the influence of noise and broken pattern spots on crop identification can be reduced, the identification result better fits the planting condition, only a single-temporal high-resolution remote sensing image is needed, the method is not influenced by time sequence data missing, the adaptability to a data source is high, the number of model input channels is flexible, and the method is suitable for crop identification and classification tasks in a complex geographical environment.

The invention relates to the field of intelligent farming equipment, in particular to a mountain farming machine blade guiding system with stone detection and grading protection functions and an operation method of the mountain farming machine blade guiding system. The guiding system comprises a multi-mode sensor fusion layout module and a blade dynamic avoiding mechanism. The multi-modal sensor fusion layout module comprises a control host, an angle-adjustable cantilever support arranged above a blade of a farming machine main body, and a radar detection module; the cantilever support is provided with an image acquisition module used for scanning the terrain in front of the farming machine to generate a three-dimensional point cloud and sending the three-dimensional point cloud to the control host; the radar detection module is used for acquiring material information of obstacles in front of a running path of the farming machine and sending the material information to the control host; and the control host drives the blade dynamic avoiding mechanism to dynamically adjust the blade position of the farming machine after combined analysis according to the three-dimensional point cloud and the front obstacle substance information. And the use damage of the ploughing blade of the mountain farming machine in the practical use process is effectively reduced.

The invention discloses a data layer processing method and system for spatial planning land data arrangement, and relates to the technical field of land data, and the method comprises the following steps: obtaining and collecting a plurality of predefined spatial planning constraint layers; the spatial planning constraint layer comprises a stable cultivated land, a permanent basic farmland, an ecological protection red line and a town development boundary; processing each spatial planning constraint layer to generate a site selection base map database of the temporary land; configuring a land use avoidance rule for each constraint layer of the site selection base map database; the avoidance rule comprises a prohibitive rule and a conditional rule, the prohibitive rule is configured for the layers of the permanent basic farmland and the ecological protection red line, and the conditional rule is configured for the layers of the stable cultivated land and the urban development boundary; responding to a temporary land site selection request of the user; the method has the effect of improving the accuracy and compliance of site selection decision.

The invention relates to the technical field of soil ecological restoration and farmland cultivation management, in particular to an ecological regulation and control method for synergistically reducing compound obstacles of yellow soil rice-oil rotation cropland. The method is implemented by stages according to agricultural time: S1, mixing crushed straw, a composite functional microbial agent, a decomposed organic fertilizer and a calcium magnesium phosphate fertilizer into 0-15cm before rice transplanting; s2, after the rice is harvested, deep scarification is conducted by 20-25 cm, and a ridge culture structure is constructed; s3, interplanting astragalus sinicus after the ridges are built and before the oilseed rape is sown; s4, after the oilseed rape is harvested, the oilseed rape straw and the astragalus smicus are turned and pressed by 20-25 cm, lime is applied, and high water holding capacity is maintained in a short time; and S5, interannual circulation. Through microorganism-structure-nutrient coupling, thin, plate and sticky yellow soil is relieved synergistically, aggregate and air permeability are improved, root growth is promoted, and stable yield is increased.

The invention discloses a cultivated land non-agrochemical monitoring method based on unmanned aerial vehicle video spatialization. The method comprises the following steps: acquiring a farmland area video stream, positioning and attitude determination system data and digital elevation model data acquired by an unmanned aerial vehicle; extracting a key frame from the video stream based on a double-threshold detection algorithm of the optical stream change rate and the image information entropy; performing spatialization processing on the key frame through a collinear equation optimization solution combined with a digital elevation model, and converting image coordinates into geographic coordinates; fusing the key frame image data with the corresponding geographical coordinate information, and constructing input data of a deep learning model of geographical perception; inputting the fused data into a geographic perception deep learning model to perform ground object interpretation, and extracting spatial features by the model through a built-in geographic coordinate embedding layer to identify a cultivated land non-agrochemical target; post-processing is carried out on the interpretation result, the post-processing comprises morphological closed operation processing and grid-to-vector conversion processing, quality control is carried out by calculating a re-projection error index and an intersection-to-parallel ratio index, and a cultivated land non-agrochemical monitoring report is generated.

The invention provides a method for preventing and controlling nitrogen and phosphorus loss of sandy and dry cultivated land based on EICP root reinforcement and relates to the field of soil ecological protection and agricultural pollution prevention and control. According to the method, a three-dimensional prevention and control system is formed from the two dimensions of surface layer film covering protection and deep root system soil fixation through the synergistic effect of EICP film covering and local plant root system three-dimensional reinforcement, wind erosion and water erosion are effectively resisted, the soil nitrogen and phosphorus loss rate of the large-gradient sandy and dry cultivated land is remarkably reduced, and meanwhile the soil desertification process is slowed down; the EICP film covering layer has good water permeability and moisture retention, nitrogen and phosphorus loss can be prevented, rainfall infiltration and soil moisture conservation can be guaranteed, and the germination rate and the growth speed of crops are increased; according to the method, local crop root system reinforcement is selected, the original planting structure is not disturbed, the economic benefit of cultivated land yield per mu is guaranteed, a harmless means of combining microorganisms, geotechnical engineering and agricultural planting is adopted, external pollution sources are not introduced, original basic characteristics of soil are not damaged, and the requirement for ecological protection of the Yellow River basin is met.

The invention discloses a method for improving the quality of cultivated land through mixed sowing of perennial beans, grasses and forage grass. The method comprises the steps that deep ploughing and soil turning are conducted, land leveling is conducted, and organic fertilizer is applied to serve as base fertilizer; the method comprises the following steps: determining a mixing ratio of leguminous forage grass to gramineous forage grass of 3: 7-1: 1, and carrying out mixing pretreatment on the two forage grass seeds, namely preparing a nano titanium dioxide solution containing various nutrients and trace elements, screening stress-resistant domesticated rhizobium, disinfecting, soaking, coating and the like; reasonably topdressing in the forage grass growth period; when the pasture grows to a specific stage, the pasture is cut for 2-3 times every year; after 3-5 years of continuous utilization, crop rotation is carried out, and deep ploughing and fertilization are carried out again. According to the seed mixing pretreatment mode, the operation process is simplified, the cost is reduced, balanced nutrition supply is guaranteed, synchronous germination of seeds and coordinated growth of seedlings are promoted, and the fertilizer utilization rate is increased. The screened adversity-resistant domesticated rhizobium enhances the stress resistance of mixed sowing grassland, improves the yield and quality of alfalfa, and further improves the overall quality of mixed sowing pasture.

This invention discloses an agricultural tillage and soil-turning machine, relating to the field of agricultural machinery technology. The machine includes a fixed plate and tillage blades. A power shaft driven by a motor is rotatably connected inside the fixed plate. A mounting base is fixedly connected to the outside of the power shaft, and a mounting cylinder is fixedly connected to the outside of the mounting base. A hydraulic chamber is driven to the outside of the power shaft. A movable block is connected to the inner wall of the hydraulic chamber via an elastic telescopic plate. An arc-shaped rod is slidably connected to the side of the hydraulic chamber. By increasing the rotational speed of the power shaft, and in conjunction with the hydraulic chamber, elastic telescopic plate, movable block, arc-shaped rod, hydraulic chamber, force-bearing rod, transmission rod, spring, spring, limiting block, and limiting groove, this agricultural tillage and soil-turning machine can improve tillage efficiency while maintaining the stability of the tillage blades during use, thereby enhancing the tillage effect of the device under these conditions.

The application discloses a method and related equipment for reconstructing a canal system based on farmland irrigation capacity, and the method comprises the following steps: acquiring various water source data, canal network data and farmland plot data of a target area; constructing a weighted directed graph based on the various water source data, canal network data and farmland plot data; calculating the network reachability, water supply adequacy and water demand pressure reciprocal of each farmland plot according to the weighted directed graph, and then calculating the comprehensive irrigation capacity index of each farmland plot; determining a farmland plot to be reconstructed based on the comprehensive irrigation capacity index of each farmland plot; and solving a preset planning model with the minimum total reconstruction cost as the target based on the farmland plot to be reconstructed and the comprehensive irrigation capacity index of the farmland plot to be reconstructed, so as to obtain a canal system reconstruction scheme. The application can realize quantitative trade-off between irrigation benefits and investment costs, thereby maximizing the overall improvement benefits of the irrigation system under the limitation of the investment cost budget, and can be widely applied to the field of agricultural water conservancy technology.

The utility model provides a rotary cultivator convenient to adjust, which comprises a tractor and a bottom plate arranged below the rear end of the tractor, a bottom frame is arranged above the bottom plate, two sides of the upper surface of the bottom frame close to the tail end are respectively provided with a bearing seat used for fixing a transmission shaft, one end of the transmission shaft is provided with a side plate, and the other end of the transmission shaft is provided with a side plate. A side transmission box is mounted at the other end of the transmission shaft; rotary tillage rake teeth are installed between the side plate and the side transmission box, a second chain wheel is installed in the center of the transmission shaft, and the second chain wheel is in transmission connection with a first chain wheel located on the outer side of the clutch box through a first chain. According to the rotary cultivator, an installation structure different from a traditional rotary cultivator is adopted, the rotary cultivator can be installed on a small tractor under the condition that the functions of the tractor are not changed without being limited by a connector needed for installation of the traditional rotary cultivator, the rotary cultivator is suitable for mountainous regions, hills and the like, and the original tractor can be used for ploughing during farming; in slack seasons, a carriage can be hung to carry goods, and the burden of farmers is further reduced.

The invention relates to a profiling two-section subsoiler for hilly and mountainous areas, and belongs to the field of agricultural mechanical equipment. The deep scarification device comprises a three-point suspension device, a first-stage profiling device, a second-stage profiling device, a first-stage deep scarification device, a second-stage deep scarification device, a rear soil crushing device, a rack and a stop dog, the first-stage deep scarification device is located at the front end of the rack, the second-stage deep scarification device is located behind the first-stage deep scarification device, the soil penetrating depth of the first-stage deep scarification device is small, and the soil penetrating depth of the second-stage deep scarification device is small. The secondary deep scarification device is deep in soil, the primary deep scarification device and the secondary deep scarification device are matched to complete deep scarification operation of cultivated land, the primary deep scarification device is installed on the primary profiling device, the secondary deep scarification device is installed on the secondary profiling device, the rear soil crushing device crushes deep scarified soil, and follow-up cultivation operation is facilitated. The subsoiler solves the problems of low terrain flatness of cultivated land in mountainous areas and hills, low operation matching horsepower of the subsoiler, large subsoiling operation resistance, poor effect and difficulty in breaking a plow pan, so that the subsoiling operation of the cultivated land in the hilly areas is efficient and rapid.

The invention discloses a method for detecting and tracking an engineering vehicle in a farmland in a sheltered environment, and relates to the technical field of computer vision and cultivated land protection, and the method comprises the following steps: S1, collecting and marking image data of the farmland engineering vehicle under different sheltering degrees, constructing a training set, a verification set and a test set, and improving and training a YOLOv8 model, constructing a high-precision engineering vehicle detection model, and constructing a data set preparation and model training module; s2, acquiring a farmland monitoring video stream in real time by using a high-definition camera, processing a video frame by using the improved YOLOv8 model trained in the step S1, outputting an engineering vehicle target detection frame with confidence, and constructing a video stream input and target detection module; according to the method for detecting and tracking the engineering vehicle in the farmland in the sheltered environment, the BiFPN and CBAM modules are introduced, so that the feature extraction capability of the model on sheltered and small-target engineering vehicles is remarkably enhanced, and the detection precision (mAP at 0.5) is improved to 87% or above in a sheltered scene.

The invention provides a cultivated land quality dynamic monitoring and precise fertilization regulation and control method based on the Internet of Things, and the method comprises the following specific steps: firstly, collecting soil physical and chemical data in real time through sensor nodes deployed in a field, periodically obtaining crop growth data through an unmanned plane remote sensing platform, carrying out the preprocessing and time-space fusion of multi-source data, and carrying out the real-time monitoring of the cultivated land quality; forming a unified data set; thirdly, constructing a cultivated land quality evaluation model based on machine learning, and generating a cultivated land quality index spatial distribution map; introducing a crop growth model, a target yield and meteorological data, performing fertilization partitioning and nutrient demand calculation through a decision engine, and finally generating a precise fertilization prescription map; and finally, driving a variable fertilization mechanism equipped with a positioning system, and executing variable fertilization operation according to the prescription map. Dynamic perception, accurate evaluation and intelligent regulation and control of the cultivated land quality are achieved, and the cultivated land resource utilization efficiency and the fertilizer and water management level are effectively improved.

The application discloses a multifunctional agricultural machine integrating fertilization and ploughing, and relates to the technical field of agricultural machines, which comprises a vehicle frame assembly, a ploughing assembly, a bulldozing assembly, a seeding assembly and a fertilization assembly are arranged on the bottom of the vehicle frame assembly, and the vehicle frame assembly comprises two longitudinal beams. When the device is used for seeding during the travel of an agricultural vehicle, the motor and the driving shaft are matched to drive the rotation of the round roller, and at this time, the seeds in the seed box are dropped into the seed collecting groove and then into the discharging channel under the cooperation of the seed collecting groove, so that the seeding effect is achieved. Since the seed collecting groove is in the shape of a long strip, the seeds inside the seed collecting groove are uniformly arranged in the seed collecting groove during the rotation, so that the seeds are in the shape of a long strip after being discharged, the seeding area is greatly improved, and the overall seeding efficiency is effectively improved, so that the device has good market competitiveness.

The application provides a method for preparing regenerated soil by using phosphogypsum, which takes bulk solid waste phosphogypsum as raw material, and through harmless treatment, microbial alternate fermentation and trace element compound treatment, a regenerated soil with high fertility, stable structure and strong water and fertilizer retention capacity is obtained, which can be directly used for crop planting. The method can promote the plant absorption of Ca, S, P and other elements in the phosphogypsum, and realize the land utilization of all components of the phosphogypsum. In addition, through the formation of organic-inorganic complex by the compounding fermentation technology, the complex can not only promote the formation of soil aggregate structure, but also improve the biological effectiveness of trace elements and the stability of organic matter in the soil, and then build a high-quality regenerated soil with strong water retention and air permeability and long-lasting fertilizer efficiency. The application can not only effectively solve the problem of phosphogypsum storage, but also apply the prepared regenerated soil to farmland improvement, land reclamation and crop planting, and realize the goal of turning waste into treasure.

The invention discloses a cultivated land reserve resource investigation integrated device, and relates to the technical field of investigation equipment, the cultivated land reserve resource investigation integrated device comprises a support column and a control equipment, the upper part of the support column is symmetrically provided with a frame body, the inner side of the frame body is provided with a solar panel, and the support column is provided with a processing assembly; the treatment assembly comprises a first transmission unit arranged on the supporting column, movable boxes symmetrically arranged above the supporting column in a sliding mode, scraping plates movably connected to the side faces of the movable boxes, second transmission units arranged on the movable boxes and a plurality of fan blades rotationally connected to the inner sides of the movable boxes. The first transmission unit is started to drive the two movable boxes to move back and forth on the solar panel, dirt on the solar panel is scraped off through the scraper, the scraper scrapes off the dirt on the surface of the solar panel by arranging the processing assembly, blowing and sucking acting force is generated through rotation of fan blades in the moving and cleaning process of the scraper, and the dirt on the surface of the solar panel is scraped off. And the scraped residual impurities are further cleaned, so that the dirt on the surface of the solar panel is automatically cleaned.

The invention discloses a multi-mode remote sensing image intelligent interpretation and land dynamic monitoring analysis method, and relates to the technical field of remote sensing data intelligent processing. According to the method, a dynamic ontology-driven multi-modal knowledge graph and virtual-real dynamic calibration digital twinning two-way collaborative system is constructed, and real-time adaptation of policy rules and virtual-real scenes is realized; through dynamic threshold learning and a three-dimensional grading index system, land abnormal changes are accurately identified; the regional differentiation accurate accounting is realized by adopting ecological value quantitative evaluation adaptive to dynamic parameters; a scene-based treatment plan is generated and is subjected to multi-agent simulation optimization, so that the execution effect is improved; and constructing a full-process closed-loop optimization mechanism, and dynamically updating a threshold value, parameters and rules. The technologies are coordinated and linked, the precision and efficiency of dynamic land management are remarkably improved, and the method is suitable for scenes such as cultivated land protection red line management and control.

The invention discloses a method for improving the quality of low-yield slope cropland in mountainous and hilly areas, and belongs to the technical field of cropland quality improvement and improvement. (2) plot planning: performing plot planning according to topographic elements; (3) digging, filling and leveling: performing slope reduction, soil improvement and leveling on the slope cropland according to plot planning; and (4) soil fertilization: after the land parcel treatment is completed, soil fertilization is performed, crop planting is started, the combined operation of organic fertilizer, straw returning to the field and crop planting is adopted for soil fertilization for more than or equal to 3 years, the quality improvement of the low-yield slope cropland in the mountainous and hilly areas is completed, and the problems that at present, the slope cropland is poor in soil physicochemical property, the improvement effect is repeated, and the high-quality land parcel is difficult to continue are solved.

The invention discloses a charcoal-based composite material as well as a preparation method and application thereof, and belongs to the technical field of soil improvement. The preparation method comprises the following steps: modifying rice straw with calcium lignosulphonate, carbonizing to obtain biochar, and co-fermenting with calcium lignosulphonate, rice straw, EM engineering bacteria and urea to obtain the biochar-based composite material. When in use, the charcoal-based composite material is uniformly spread on the surface of acidified soil, ploughing and mixing are performed, irrigation and mulching film covering are performed, and crops can be planted 30-120 days later. When the biochar-based composite material is used for soil improvement, the pH value of acidified soil can be remarkably increased, the non-uniform acidification characteristic of the soil is improved, the physical property and the soil fertility are improved, and the biochar-based composite material has the advantages of being low in remediation cost and free of chemical components and can provide technical support for guaranteeing cultivated land health and promoting ecological agriculture development.

A kind of farmland soil hardness real-time detection device and detection method, it includes laser ranging sensor, inclination sensor, Beidou satellite template, baffle, four-bar linkage mechanism, soil disc assembly, beam, U type card, counterweight area and beam frame, soil disc assembly is connected with counterweight area, soil disc assembly top is equipped with baffle, soil disc assembly is connected with beam frame by four-bar linkage structure, beam frame one side installs beam, beam is equipped with U type card, beam frame top is equipped with laser ranging sensor, inclination sensor and Beidou satellite template.This farmland soil hardness real-time detection device and detection method combines agricultural machinery ridging, sowing, fertilizing, cultivation and other operations, utilizes the data received by vehicle-mounted computer software system to measure, so that sensor accurately measures the depth of cutting soil disc pressed into soil, to achieve the purpose of detecting soil hardness, reflects the related information such as farmland soil plough layer thickness, soil fertility, improves the detection efficiency of soil hardness.

This invention discloses a method for assessing farmland inundation. The method includes: evaluating multiple precipitation prediction models based on precipitation indices, and selecting the optimal model from among them; correcting the precipitation sequence of the optimal model, extracting extreme precipitation sequences, analyzing precipitation data based on the extreme precipitation sequences, and inputting the precipitation data into a preset hydrological-hydrodynamic coupling model; overlaying the inundation results output by the hydrological-hydrodynamic coupling model with pre-stored farmland spatial data to identify farmland inundation units and clarify the farmland inundation situation; classifying the farmland inundation situation based on a preset hierarchical index system to generate farmland inundation risk zones; and forming differentiated management strategies based on different farmland inundation risk zones. The technical solution of this application can conduct accurate quantitative assessments of watershed flood inundation and farmland exposure under multiple scenarios, providing scientific support for watershed flood control and disaster reduction and agricultural adaptability planning.

The application provides a cultivated land loss evaluation method and system based on cultivated land space-time change characteristic analysis, first acquires cultivated land space-time change tracking data set containing large-scale cultivated land spatial distribution, utilization state and surrounding environment data of different observation periods, then executes cultivated land spatial feature modeling processing, obtains large-scale cultivated land spatial coupling feature set in batches, executes cultivated land time sequence feature modeling processing, combines the spatial coupling feature set to obtain large-scale cultivated land space-time interaction feature set in batches, then inputs the two into a cultivated land loss risk conduction model, efficiently identifies large-scale cultivated land loss risk conduction paths, generates cultivated land loss risk evaluation results in batches, divides large-scale cultivated land loss risk areas, designs batch cultivated land protection intervention schemes and generates large-scale cultivated land protection strategy set, can efficiently process large-scale data, comprehensively and accurately evaluate large-scale cultivated land loss risk and scientifically and reasonably formulate cultivated land protection strategies.

This invention relates to the field of land assessment technology, and discloses a zoning survey and assessment system for the evaluation and protection of arable land quality based on the red line of black soil. It includes an arable land area identification module to segment arable land areas from aerial images, an assessment point marking module to mark regional assessment points within the arable land areas, a regional yield prediction module to predict regional yield using an arable land yield prediction model, and an arable land quality assessment module to analyze the arable land quality grade of the arable land area and formulate strategies for improving arable land quality. This invention achieves a modular approach to the analysis and assessment of arable land quality in black soil, provides a distinguishing basis for data collection locations, and enables corresponding adjustments to data collection locations for arable land areas with different structural forms. It avoids the limitations of using a single location for data collection in arable land areas with different structural forms, achieving a dynamic correlation between data collection locations and the structural form of arable land areas.

The utility model relates to a thin film and drip irrigation tape laying integrated device capable of being conveniently matched with a rotary cultivator to work, and belongs to the field of agricultural planting equipment. The device mainly comprises a supporting frame, a pneumatic telescopic rod, a connecting frame, a damping mechanism, a film covering mechanism, a walking mechanism and a drip irrigation belt mounting mechanism. The film and drip irrigation tape laying integrated device can be conveniently matched with the rotary cultivator to work, film mulching and drip irrigation tape laying can be achieved while the rotary cultivator is used for ploughing, and the situation that the soil moisture conservation effect and irrigation uniformity are affected due to the fact that film mulching and drip irrigation tape position deviation are caused is avoided; when the rotary cultivator only needs to be used independently, the film covering mechanism and the drip irrigation belt mounting mechanism do not need to be disassembled, the connecting frame and the film covering mechanism and the drip irrigation belt mounting mechanism which are mounted on the connecting frame are lifted through the pneumatic telescopic rod, and the rotary cultivator can conduct ploughing work independently.

The application belongs to the technical field of green plant protection cultivation, and discloses a standardized planting and management method for pollution-free green agricultural products, which realizes multi-index screening of soil heavy metals, pesticide residues, microorganisms and water, soil and air, establishes a soil plant protection database, and applies passivation materials, compound beneficial microorganism groups and decomposed organic fertilizers to the soil according to pollution, continuous cropping and short soil fertility, and improves the stress resistance of seedlings by matching seed pretreatment; the disease and pest risk grades of plots are divided by weighting and quantifying five types of planting data, and a risk map is drawn, high, medium and low risk plots are differentially configured with pest-resistant varieties, intercropping, crop rotation and pest-repellent crops, and a hierarchical prepared prevention and control mechanism is matched, the planting environment is optimized from the aspects of farmland basement and field ecological layout; through the fusion of the Internet of Things, unmanned aerial vehicle remote sensing, pest trapping and meteorological data, the early latent characteristics of diseases and pests are captured through a deep learning model, and the development trend of diseases and pests is deduced in advance and divided into three levels of early warning.