Phyllostachys violascens forest fertilizer regulation and fertilization method

Abstract

The application discloses a kind of Phyllostachys violascens forest fertilizer regulation and fertilization method, and relates to the technical field of fertilization regulation.A kind of Phyllostachys violascens forest fertilizer regulation and fertilization method, including: collecting the multi-source basic data of target Phyllostachys violascens forest area, identifying growth stage, identifying economic applicable stage, dividing multiple management subareas, obtaining optimal fertilization parameter set, and forming differentiated regional fertilization scheme, according to the economic applicable stage of target, fertilization target is strengthened, fertilization management is carried out through Phyllostachys violascens forest intelligent multidimensional fertilization information system, and the dynamic optimization of fertilization scheme is carried out in combination with the land shortage degree of target area.The present application introduces the identification mechanism of economic applicable stage, combines bamboo forest health data and historical yield data, divides Phyllostachys violascens forest into juvenile stage, development stage, mature stage and cutting stage, clearly defines the management target of different stages, and on this basis, the target is strengthened to the fertilization strategy, which significantly improves the fertilizer utilization efficiency and output value.

Description

Technical Field

[0001] This invention relates to the field of fertilizer regulation technology, and in particular to a fertilizer regulation and fertilization method for bamboo forests. Background Technology

[0002] Lei bamboo is a high-quality economic bamboo species widely cultivated in southern my country, possessing significant economic characteristics and widely used for fresh bamboo shoot harvesting and commercial bamboo supply. With the development of understory economy and increasing pressure on land resources, the demand for efficient cultivation and management of Lei bamboo forests is rising. Especially against the backdrop of rising fertilizer input costs and tight land rental, how to achieve precise fertilization and economic efficiency has become one of the core technical bottlenecks in the industry.

[0003] Existing fertilization management methods for Lei bamboo forests mostly adopt an extensive model that combines forest age-based fertilization with experience. These methods primarily rely on traditional agricultural experience to make preliminary judgments about fertilizer types and application timing, lacking a precise characterization of factors such as the physiological needs of Lei bamboo, differences in growth stages, and plot heterogeneity. Some studies have begun to incorporate soil information and remote sensing technologies, but these largely remain at the data collection level and have not yet established decision support mechanisms oriented towards output optimization and land resource constraints.

[0004] Current fertilization strategies generally overlook the following key issues: they fail to adequately differentiate the dynamic differences in nitrogen, phosphorus, and potassium requirements of bamboo at different growth stages; they lack a systematic identification and management objective coupling mechanism for the economically viable stage of bamboo forests; they cannot combine plot soil differences, climate conditions, and economic objectives to achieve personalized fertilization at the spatial scale; they lack models that quantify and compare fertilization inputs with economic outputs and provide feedback for optimization, leading to over-fertilization or inefficiency; and they fail to incorporate external economic constraints such as land scarcity to achieve dynamic optimal control of fertilization strategies under cost and land pressure conditions. Summary of the Invention

[0005] This invention proposes a fertilizer regulation and fertilization method for Lei bamboo forests. Based on the physiological stage of Lei bamboo, management objectives, land conditions and economic benefit assessment, it is an intelligent and differentiated fertilizer regulation method that improves fertilization efficiency, reduces input waste and increases economic benefits per unit area, thus meeting the current practical needs of intensive management and efficient utilization of Lei bamboo forests.

[0006] A method for fertilizer regulation and application in bamboo forests, comprising: Collect multi-source basic data for the target Lei bamboo forest area, including bamboo forest health data, soil property data, geographical environment data, meteorological environment data, Lei bamboo growth observation data, and historical yield data; The growth observation data and historical yield data of *Phyllostachys edulis* are input into a nutrient regulation model for the growth period of *Phyllostachys edulis* constructed based on a time series clustering algorithm to identify the growth stages and output the nutrient demand curves for each stage; the growth stages include the budding stage, the rapid growth stage, and the forest closure stage. By combining bamboo forest health data and historical yield data, we can identify its current economic viability stage, including juvenile, developmental, mature, and harvesting stages. Based on soil property data and geographic environment data, the Lei bamboo forest was divided into multiple management sub-regions; Soil property data, meteorological environment data, economic suitability stage, and nutrient requirement curves are input into the Leizhu fertilizer intelligent regulation model. Through multi-factor fusion analysis, the model outputs an optimal set of fertilization parameters, including sub-region-level fertilization timing, nutrient ratio, and fertilization amount. Combined with the spatial characteristics and economic objectives of each management sub-region, a differentiated regional fertilization plan is formed.

[0007] As a preferred embodiment of the present invention, a method for fertilizer regulation and application in bamboo forests further includes: In each management sub-region, based on the growth stage and regional fertilization plan, a three-element ecological synergistic fertilization plan is adopted, which combines slow-release compound fertilizer, organic fertilizer and microbial fertilizer, and the fertilization target is strengthened according to the economically applicable stage of the target. The Leizhu Forest Intelligent Multidimensional Fertilization Information System combines the location of sub-regions, growth stages, economic suitability stages, and regional fertilization plans to implement phased, zoned, multiple, and quantitative precision fertilization, record each fertilization operation and its output data, and obtain the corresponding fertilization input costs and output benefits. Based on the relationship between fertilizer input costs and output benefits, a fertilizer economic benefit optimization model is constructed, and the fertilization plan is further dynamically optimized by combining the land scarcity of the target area.

[0008] As a preferred embodiment of the present invention, the output staged nutrient demand curve includes: Based on the observation data of new shoot quantity, rhizome elongation rate, leaf area change, and shoot diameter change of Lei bamboo, combined with the corresponding time period of historical yield data, the time series clustering algorithm is used to analyze the changing trends of the above indicators, divide the time boundaries of the growth stages, and fit the function of the absorption rate of the three main nutrients of nitrogen, phosphorus, and potassium of Lei bamboo in each stage, and output the nutrient demand change curve reflecting the different growth stages of Lei bamboo.

[0009] As a preferred embodiment of the present invention, identifying the current economic viability stage includes: Based on the forest age, bamboo density, new bamboo ratio and withering rate in the bamboo forest health data, as well as the changes in the yield per unit area, timber yield and output value in the historical yield data, as judgment indicators, the multi-factor scoring and rule matching method is used to determine the economically suitable stage of Lei bamboo forest, and to determine whether it is in the juvenile stage, development stage, mature stage or harvesting stage.

[0010] As a preferred embodiment of the present invention, dividing the bamboo forest into multiple management sub-regions includes: Based on soil texture, organic matter content, and nutrient spatial distribution characteristics in soil attribute data, as well as slope, altitude, and drainage capacity in geographical environment data, geographic information system analysis methods and spatial clustering algorithms are used to identify soil topographic heterogeneity in the Leizhu forest area, construct a Leizhu forest heterogeneity assessment index system, and divide the forest land into several management sub-regions based on the similarity of each assessment factor in the region, serving as the spatial division basis for the formulation of regional fertilization plans.

[0011] As a preferred embodiment of the present invention, the intelligent regulation model for Lei bamboo fertilizer includes: Using soil property data, meteorological environment data, stage nutrient demand curves, and economically suitable stages as inputs, an intelligent fertilizer regulation model for Lei bamboo is constructed, consisting of a data preprocessing module, a feature fusion module, and a decision output module. The model generates an optimal set of fertilization parameters for sub-regional fertilization timing, nutrient ratio, and fertilization amount through data standardization, feature weighting, and fertilization response analysis.

[0012] As a preferred embodiment of the present invention, the differentiated regional fertilization scheme includes: Based on the optimal fertilization parameter set, the parameters of fertilization timing, nutrient ratio and fertilization amount are adjusted for each management sub-region. The fertilization timing is fine-tuned according to the temperature and humidity change trend, the nutrient ratio is optimized according to the nutrient deficiency level, and the fertilization amount is determined by comprehensively considering economic goals and regional resource carrying capacity, thus forming a customized regional fertilization plan for each management sub-region.

[0013] As a preferred embodiment of the present invention, the ternary ecological synergistic fertilization scheme includes: Based on the nutritional needs of Lei bamboo at different growth and economic stages, a combination of slow-release compound fertilizer, organic fertilizer, and microbial fertilizer is used. Slow-release compound fertilizer serves as the main fertilizer source and is applied as a benchmark during the rapid growth period and the closing period of the forest. Organic fertilizer is used to improve soil structure and enhance water and fertilizer retention capacity, and is applied as base fertilizer or spread in the root active area before the budding period. Microbial fertilizer is applied to the target root zone through hole application or drip irrigation to enhance the activity of the rhizosphere microecology and promote nutrient transformation.

[0014] As a preferred embodiment of the present invention, the step of enhancing the fertilization target according to the economically viable stage of the target includes: The fertilization program is tailored to the specific economic objectives of each stage. In the juvenile stage, the objective is to promote the survival of bamboo seedlings and the initial development of the root system. In the development stage, the objective is to accelerate the expansion of rhizomes and the growth of the above-ground parts. In the mature stage, the objective is to balance the yield of bamboo shoots with the quality of bamboo. In the harvesting stage, the objective is to optimize the density and physical strength of the mature bamboo.

[0015] As a preferred technical solution of the present invention, the dynamic optimization of the fertilization scheme based on the land scarcity of the target area includes: Historical data on fertilization input costs and output benefits are collected. By comparing fertilization input costs and output benefits in multiple dimensions, a fertilizer economic benefit optimization model is constructed, which outputs the unit net income and input-output ratio for evaluating different fertilization schemes under different fertilization input costs. Combined with parameters of land scarcity in the target area, including land rent costs, land use years, and surrounding land use intensity, the current land economic pressure level of the area is determined. Based on the land economic pressure level, the fertilization scheme is optimized to dynamically adjust the fertilization scheme under different land resource economic constraints, so as to maximize the overall fertilization benefits.

[0016] The present invention has the following advantages: This invention constructs a nutrient regulation model for the growth period of *Phyllostachys edulis*, combines observational data of *Phyllostachys edulis* growth with historical yield data, identifies the nutrient absorption characteristics of *Phyllostachys edulis* forests at different growth stages, and outputs stage-specific nutrient demand curves, thus achieving precise matching of fertilization strategies with the physiological laws of *Phyllostachys edulis*.

[0017] This invention introduces an economically viable stage identification mechanism, combining bamboo forest health data and historical yield data to divide Lei bamboo forests into juvenile, developmental, mature, and harvesting stages, clarifying the management objectives for each stage. Based on this, the fertilization strategy is targeted and strengthened, significantly improving fertilizer utilization efficiency and output value.

[0018] This invention integrates soil property data and geographical environment data, and adopts a heterogeneous zoning management strategy to spatially divide the Lei bamboo forest, forming management sub-regions with plot difference response capabilities. This provides a basis for differentiated and regionally customized fertilization, breaking through the traditional one-size-fits-all extensive management approach.

[0019] This invention constructs a multi-factor integrated intelligent regulation model for Lei bamboo fertilizer, taking nutrient requirements, growth stage, climate and soil factors as inputs, and outputting optimal fertilization timing, ratio and dosage parameters, thus supporting the generation of scientific, precise and data-driven fertilization plans.

[0020] This invention designs a ternary ecological synergistic fertilization strategy, combining the functional differences of different fertilizer types and their application sequence, to achieve synergistic improvement of nutritional support and soil quality at different growth stages of bamboo, thereby enhancing the ecological and sustainable nature of fertilization.

[0021] This invention evaluates the input costs and actual output benefits of fertilization and introduces the land scarcity parameter to form a fertilizer economic benefit optimization mechanism. This enables dynamic adjustment of fertilization strategies under different land economic pressures, allowing fertilization decisions to take into account both economic efficiency and resource efficiency. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are only schematic diagrams of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort. Figure 1 This is a schematic flowchart of a fertilizer regulation and fertilization method for bamboo forests used in an embodiment of the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0024] Example: A method for fertilizer regulation and application in bamboo forests, see [link to example]. Figure 1 As shown, it includes the following steps: Step S1: Collect multi-source basic data of the target Lei bamboo forest area, including bamboo forest health data, soil property data, geographical environment data, meteorological environment data, Lei bamboo growth observation data and historical yield data, for subsequent model construction and fertilization decision optimization; The multi-source basic data specifically includes the following sub-classes of information: Bamboo forest health data: including at least the age of the target Lei bamboo forest area, average bamboo height, bamboo density, proportion of new bamboo, yellowing rate, and occurrence of diseases and pests, which are indicators reflecting the growth status and health level of the forest stand; obtained through UAV aerial surveys, remote sensing image interpretation, and field sampling surveys.

[0025] Soil property data: including at least the soil type, texture, organic matter content, pH value, water retention capacity, content of major nitrogen, phosphorus and potassium nutrients and their spatial distribution characteristics in the target Lei bamboo forest area, used to assess the basic soil nutrient conditions and fertilization response capacity; obtained through soil sample testing, field sensor readings and extrapolation from existing soil databases.

[0026] Geographic environmental data: including at least the topographic features of the target bamboo forest area such as elevation, aspect, slope, and drainage capacity, used to analyze forest water dynamics and nutrient migration patterns; acquired through digital elevation modeling, lidar scanning, and geographic information system analysis.

[0027] Meteorological and environmental data: including at least the annual average temperature, effective accumulated temperature, annual precipitation, humidity variation, sunshine duration, and wind speed of the target Lei bamboo forest area, used to characterize the impact of external climate on the growth and nutrient absorption of Lei bamboo; acquired through regional meteorological stations, remote sensing data and Internet of Things sensor nodes.

[0028] Lei bamboo growth observation data: including at least the number of new shoots, shoot height, rhizome elongation rate, internode length, leaf area changes, and aboveground and belowground biomass of the target Lei bamboo at different time points, to dynamically reflect the growth process and growth trend of Lei bamboo; obtained through regular manual monitoring and image recognition assisted system.

[0029] Historical production data: including at least the annual bamboo shoot production, commercial bamboo shoot rate, bamboo timber yield, output value per unit area, fertilizer input cost and labor expenditure of the target Lei bamboo forest area, used to assess the economic suitability stage and historical output level; obtained through production record collation and extraction from the management ledger system.

[0030] Step S2: Input the growth observation data and historical yield data of *Phyllostachys edulis* into the nutrient regulation model of *Phyllostachys edulis* based on the time series clustering algorithm to identify the growth stage and output the nutrient demand curve of each stage; the growth stage includes the budding stage, the rapid growth stage and the forest closure stage, which are used to clarify the nutrient absorption characteristics of *Phyllostachys edulis* in different time periods. The output stage nutrient requirement curve includes: Based on the observation data of new shoot quantity, rhizome elongation rate, leaf area change, and shoot diameter change of Lei bamboo, combined with the corresponding time period of historical yield data, the time series clustering algorithm is used to analyze the changing trends of the above indicators, divide the time boundaries of the growth stages, and fit the function of the absorption rate of the three main nutrients of nitrogen, phosphorus, and potassium of Lei bamboo in each stage, and output the nutrient demand change curve reflecting the different growth stages of Lei bamboo.

[0031] The nutritional regulation model for the growth period of *Phyllostachys edulis* includes a data input module, a clustering identification module, and a function fitting module. The data input module receives standardized fertility observation data and historical yield data, and performs time alignment and imputation of missing values. The clustering identification module, based on dynamic time warping, identifies key fertility turning points to form a phased structure. The function fitting module uses local weighted regression within each fertility stage to establish a model of the rate of absorption of major nutrients such as nitrogen, phosphorus, and potassium by *Phyllostachys edulis*, and outputs a phased nutrient demand curve. The model is initially trained based on regional measured data and dynamically calibrated according to annually updated observation data to ensure the accuracy and adaptability of nutrient demand prediction, which is then used for the formulation of subsequent personalized fertilization strategies.

[0032] Step S3: Combining bamboo forest health data and historical yield data, the current economically viable stage is identified through a stage identification model, which is used to formulate fertilization targets and strategies that are appropriate for its growth status and economic value; the economically viable stage includes at least the juvenile stage, developmental stage, mature stage, and harvesting stage; The identification of its current economic viability stage includes: Based on the forest age, bamboo density, new bamboo ratio and withering rate in the bamboo forest health data, as well as the changes in the yield per unit area, timber yield and output value in the historical yield data, as judgment indicators, the multi-factor scoring and rule matching method is used to determine the economically suitable stage of Lei bamboo forest, and to determine whether it is in the juvenile stage, development stage, mature stage or harvesting stage.

[0033] The multi-factor scoring and rule matching method includes: establishing an indicator system composed of evaluation factors such as forest age, bamboo density, new bamboo ratio, yellowing rate, bamboo shoot yield per unit area, bamboo timber yield, and annual output value change; setting scoring intervals and weight coefficients for each evaluation factor to construct a stage identification scoring model; setting characteristic threshold intervals for each economically viable stage; weighting and summing the scores of each sub-indicator; matching the scores with the stage characteristic thresholds; and outputting the corresponding stage identification results.

[0034] Among them: the juvenile stage is used to indicate the initial stage of regeneration of Lei bamboo forest, which is usually accompanied by low yield, low timber yield and high proportion of new bamboo; the development stage is used to indicate the stage of rapid expansion of forest stand, which is characterized by a continuous increase in bamboo density and a rapid increase in bamboo shoot production; the mature stage is used to indicate the high-yield stage with stable production performance, characterized by high yield per unit area and high economic output value; the harvesting stage is used to indicate the stage when the forest stand begins to degrade or needs to be restructured, which is often accompanied by a decline in yield and older bamboo age.

[0035] The stage identification model is trained and generated based on the decision tree method; the stage identification results are used to guide the setting of subsequent fertilization targets and the optimization of the program.

[0036] Step S4: Based on soil property data and geographical environment data, the Lei bamboo forest is divided into multiple management sub-regions for subsequent implementation of differentiated fertilization control strategies; The division of the Lei bamboo forest into multiple management sub-zones includes: Based on soil texture, organic matter content, and nutrient spatial distribution characteristics in soil attribute data, as well as slope, altitude, and drainage capacity in geographical environment data, geographic information system analysis methods and spatial clustering algorithms are used to identify soil topographic heterogeneity in the Leizhu forest area, construct a Leizhu forest heterogeneity assessment index system, and divide the forest land into several management sub-regions based on the similarity of each assessment factor in the region, serving as the spatial division basis for the formulation of regional fertilization plans.

[0037] The heterogeneity assessment index system includes the following indicators: soil texture type (loam, sandy loam, clay); soil organic matter content and spatial distribution concentration of nitrogen, phosphorus, and potassium; topographic slope classification (gentle slope, medium slope, steep slope); altitude range; and soil drainage capacity level (good, moderate, poor). Spatial clustering algorithms, including K-means, DBSCAN, or hierarchical clustering spatial similarity analysis methods, are used to classify regions with similar soil and topographic features into unified management sub-regions.

[0038] By introducing GIS platform and remote sensing data fusion analysis technology, and combining multispectral image data with geospatial attribute raster maps, the automatic identification and fine division of sub-region boundaries are achieved, and a visual sub-region management layer is formed, providing spatial foundation support for subsequent intelligent fertilization strategies.

[0039] Step S5: Input soil property data, meteorological environment data, economic applicability stage and nutrient requirement curve into the Leizhu fertilizer intelligent regulation model. Through multi-factor fusion analysis, output the optimal fertilization parameter set including sub-region-level fertilization timing, nutrient ratio and fertilization amount; and combine the spatial characteristics and economic objectives of each management sub-region to form a differentiated regional fertilization plan. The intelligent regulation model for Lei bamboo fertilizer includes: Using soil property data, meteorological environment data, stage nutrient demand curves, and economically suitable stages as inputs, an intelligent fertilizer regulation model for Lei bamboo is constructed, consisting of a data preprocessing module, a feature fusion module, and a decision output module. The model generates an optimal set of fertilization parameters for sub-regional fertilization timing, nutrient ratio, and fertilization amount through data standardization, feature weighting, and fertilization response analysis.

[0040] Data preprocessing module: used to standardize, normalize and repair missing values ​​of input soil properties, meteorological factors and nutrient curve data; Feature fusion module: It fuses multi-dimensional input features through principal component analysis (PCA), attention mechanism or weighted average, etc., to form a comprehensive index vector that reflects the linkage characteristics of soil-climate-fertility-economy; Decision output module: Generates the optimal fertilization parameter set based on genetic algorithm, including recommended fertilization time, nitrogen-phosphorus-potassium ratio and unit fertilizer application rate.

[0041] The differentiated regional fertilization programs include: Based on the optimal fertilization parameter set, the parameters of fertilization timing, nutrient ratio, and fertilization amount are adjusted for each management sub-region. Specifically, the fertilization timing is dynamically fine-tuned based on the temperature and humidity change trends in meteorological environmental data; the nutrient ratio is structurally optimized based on the nutrient deficiency levels reflected in soil property data; and the fertilization amount is adjusted according to the economic objectives corresponding to the economically suitable stage, combined with the regional resource carrying capacity and production potential, to ensure maximum resource utilization efficiency and improved output cost-effectiveness. After the regional fertilization plan is output, it is visualized through a GIS platform and forest area layers, enabling spatial management of the fertilization plan, schedule and formula type for each management sub-area, and supporting the automated deployment and scheduling of subsequent fertilization operations.

[0042] Step S6: In each management sub-area, based on the growth stage and regional fertilization plan, adopt the three-element ecological synergistic fertilization plan, combine slow-release compound fertilizer, organic fertilizer and microbial fertilizer, and strengthen the fertilization target according to the economic applicability stage of the target. The ternary ecological synergistic fertilization program includes: Based on the nutritional needs of Lei bamboo at different growth stages and economically viable stages, a combination of slow-release compound fertilizer, organic fertilizer, and microbial fertilizer is applied: Slow-release compound fertilizer: As the main source of nutrient supply, it is applied as a benchmark during the rapid growth period and the forest closure period to meet the large demand for nitrogen, phosphorus and potassium during the rapid growth stage of Lei bamboo, reduce nutrient loss and improve nutrient utilization. Organic fertilizer: used to improve soil structure and enhance water and fertilizer retention capacity. It is applied as base fertilizer or spread in the root active area before the budding period to promote root development and soil microecological restoration. Microbial fertilizer: applied to the target root zone through hole application or drip irrigation to enhance the activity of the rhizosphere microecology, improve the root system's absorption capacity, and promote the mineralization and transformation of organic nutrients.

[0043] The ternary fertilization scheme is classified and controlled according to spatial location, application period and application method to ensure that the fertilizer can simultaneously meet the spatial and temporal coupling characteristics of the root absorption area and the dynamic nutrient needs of the bamboo after application.

[0044] The aforementioned fertilization target enhancement based on the economically viable stage of the target includes: Based on the economically viable stage currently identified in the management sub-region, the nutrient structure, fertilization intensity, and fertilization frequency in the fertilization plan are targeted and enhanced to improve the operational performance indicators of this stage, including: Juvenile stage: The management goal is to promote the survival of Lei bamboo seedlings and the initial development of the root system, and to strengthen the application of fertilizer sources mainly composed of organic matter and rooting fungi. Developmental stage: The management goal is to accelerate the expansion of rhizomes and the growth of above-ground parts, increase the nitrogen ratio, and take into account both growth promotion and tillering; Mature stage: With the goal of balancing bamboo shoot yield and bamboo quality, optimize the nitrogen, phosphorus and potassium ratio to support efficient biomass accumulation; Harvesting period: With the goal of optimizing the density and physical strength of mature bamboo, we will strengthen the supplementation of potassium and trace elements to improve the quality of bamboo.

[0045] Step S7: Through the Leizhu Forest Intelligent Multidimensional Fertilization Information System, combined with the sub-region location, growth stage, economic suitability stage and regional fertilization plan, implement phased, zoned, multiple and quantitative precision fertilization, record each fertilization operation and its output data, and obtain the corresponding fertilization input cost and output benefits for subsequent benefit evaluation and optimization analysis. The intelligent multi-dimensional fertilization information system for Lei bamboo forests includes the following functional modules: Fertilizer scheduling module: Based on the recommended fertilization timing and fertilization parameter set for each management sub-region in the regional fertilization plan, it generates an operation plan that includes time, location, fertilizer type and fertilizer amount; Fertilization Execution Module: Fertilization operations are carried out in each management sub-area according to recommended parameters through manual operation, semi-automatic fertilization machinery or unmanned agricultural machinery equipment; Fertilizer data recording module: Records specific parameter information for each fertilization operation in real time, including at least the fertilization time, type and amount of fertilizer used, operator or equipment number, and GPS location data; Output monitoring module: During the post-fertilization period, the output of bamboo shoots, timber, growth rate and bamboo forest health indicators of the target sub-region are tracked and monitored. Input and benefit data collection module: Records input information related to fertilization operations, such as labor costs, fertilizer procurement costs, and machinery and equipment usage costs, and collects corresponding output benefit indicators, including at least sales revenue and unit output value.

[0046] Precision fertilization is dynamically executed according to the combination of sub-region division, time stage, fertilization frequency and fertilizer dosage, supporting asynchronous fertilization management with multiple time points and multiple strategies in the same bamboo forest area.

[0047] The information system interconnects with the GIS platform, operation terminals, sensor networks, and database management system to build a visualized and digital monitoring platform for the entire process of fertilization of Lei bamboo. This enables closed-loop data management between fertilization behavior and output response, and provides high-quality training data for subsequent model optimization.

[0048] Step S8: Based on the relationship between fertilizer input costs and output benefits, construct a fertilizer economic benefit optimization model, and further combine it with the land scarcity of the target area to dynamically optimize the fertilization plan, so as to improve the fertilization efficiency and economic return level per unit of land resources.

[0049] The fertilizer economic benefit optimization model includes: Collect historical data on fertilization input costs and output benefits, conduct multi-dimensional comparisons of fertilization input costs and output benefits, construct an optimization model to evaluate the economic performance of different fertilization schemes under different input levels, and output key evaluation indicators such as unit net income and input-output ratio.

[0050] Fertilization input costs include at least the following: fertilizer procurement costs (priced according to different fertilizer types); labor costs for fertilization or equipment operating costs; and data collection, model operation, and management system maintenance costs.

[0051] The output benefits include at least the direct economic income from the yield of bamboo shoots and bamboo materials per unit area; the long-term operational benefits from the improvement of bamboo forest quality; and quantifiable ecological service value (optional).

[0052] The optimization model standardizes the aforementioned multi-source cost and benefit data and constructs a multi-objective decision-making framework using the analytic hierarchy process (AHP) to recommend fertilization strategies that maximize net benefits and optimize resource allocation.

[0053] The dynamic optimization of the fertilization plan based on the land scarcity of the target area includes: Collect parameter information related to land economic pressure, including at least land rent cost, land use term, and surrounding land use intensity, to construct a land economic pressure level assessment system for the target area. Land rent cost is used to measure the cost of using land per unit of time; land use term is used to assess the feasibility of the investment payback period; and surrounding land use intensity is used to assess regional competitiveness and development urgency.

[0054] Based on the level of land economic pressure, the intensity, frequency and budget of fertilization in each management sub-region are dynamically adjusted. In areas with high land economic pressure, high-efficiency and high-yield fertilization strategies are recommended first, while in areas with low pressure, input is appropriately reduced to balance the cost-benefit ratio, thereby maximizing the overall fertilization benefits.

[0055] The dynamic optimization process is based on a periodic feedback update mechanism, which updates and retrains the model input data quarterly or annually to achieve continuous optimization and adaptive adjustment of the fertilization plan.

[0056] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for fertilizer regulation and application in bamboo forests, characterized in that, include: Collect multi-source basic data for the target Lei bamboo forest area, including bamboo forest health data, soil property data, geographical environment data, meteorological environment data, Lei bamboo growth observation data, and historical yield data; The growth observation data and historical yield data of *Phyllostachys edulis* are input into the nutrient regulation model of *Phyllostachys edulis* based on time series clustering algorithm to identify the growth stage and output the stage-specific nutrient demand curve. The growth stages include the budding stage, the rapid growth stage, and the forest closure stage; The output stage nutrient requirement curve includes: Based on the growth observation data of Lei bamboo, including the number of new shoots, the rate of bamboo rhizome elongation, the change in leaf area and the change in shoot diameter, combined with the corresponding time period of historical yield data, the time series clustering algorithm was used to analyze the changing trends of the above indicators, divide the time boundaries of the growth stages, and fit the change function of the absorption rate of the three main nutrients of nitrogen, phosphorus and potassium of Lei bamboo in each stage, and output the nutrient demand change curve reflecting the different growth stages of Lei bamboo. By combining bamboo forest health data and historical yield data, we can identify its current economic viability stage, including juvenile, developmental, mature, and harvesting stages. The identification of its current economic viability stage includes: Based on the forest age information, bamboo density, new bamboo ratio and withering rate in bamboo forest health data, as well as the trend of changes in bamboo shoot yield per unit area, timber yield and output value in historical production data, as judgment indicators, the multi-factor scoring and rule matching method is used to determine the economic and applicable stage of Lei bamboo forest, and to determine whether it is in the juvenile stage, development stage, mature stage or harvesting stage. Based on soil property data and geographic environment data, the Lei bamboo forest was divided into multiple management sub-regions; Soil property data, meteorological environment data, economic suitability stage, and nutrient requirement curves are input into the Leizhu fertilizer intelligent regulation model. Through multi-factor fusion analysis, the model outputs an optimal set of fertilization parameters, including sub-region-level fertilization timing, nutrient ratio, and fertilization amount. Combined with the spatial characteristics and economic objectives of each management sub-region, a differentiated regional fertilization plan is formed.

2. The method for fertilizer regulation and application in a bamboo forest according to claim 1, characterized in that, Also includes: In each management sub-region, based on the growth stage and regional fertilization plan, a three-element ecological synergistic fertilization plan is adopted, which combines slow-release compound fertilizer, organic fertilizer and microbial fertilizer, and the fertilization target is strengthened according to the economically applicable stage of the target. The Leizhu Forest Intelligent Multidimensional Fertilization Information System combines the location of sub-regions, growth stages, economic suitability stages, and regional fertilization plans to implement phased, zoned, multiple, and quantitative precision fertilization, record each fertilization operation and its output data, and obtain the corresponding fertilization input costs and output benefits. Based on the relationship between fertilizer input costs and output benefits, a fertilizer economic benefit optimization model is constructed, and the fertilization plan is further dynamically optimized by combining the land scarcity of the target area.

3. The method for fertilizer regulation and application in bamboo forests according to claim 1, characterized in that, The division of the Lei bamboo forest into multiple management sub-zones includes: Based on soil texture, organic matter content, and nutrient spatial distribution characteristics in soil attribute data, as well as slope, altitude, and drainage capacity in geographical environment data, geographic information system analysis methods and spatial clustering algorithms are used to identify soil topographic heterogeneity in the Leizhu forest area, construct a Leizhu forest heterogeneity assessment index system, and divide the forest land into several management sub-regions based on the similarity of each assessment factor in the region, serving as the spatial division basis for the formulation of regional fertilization plans.

4. The method for fertilizer regulation and application in bamboo forests according to claim 1, characterized in that, The intelligent regulation model for Lei bamboo fertilizer includes: Using soil property data, meteorological environment data, stage nutrient demand curves, and economically suitable stages as inputs, an intelligent fertilizer regulation model for Lei bamboo is constructed, consisting of a data preprocessing module, a feature fusion module, and a decision output module. The model generates an optimal set of fertilization parameters for sub-regional fertilization timing, nutrient ratio, and fertilization amount through data standardization, feature weighting, and fertilization response analysis.

5. The method for fertilizer regulation and application in bamboo forests according to claim 1, characterized in that, The differentiated regional fertilization programs include: Based on the optimal fertilization parameter set, the parameters of fertilization timing, nutrient ratio and fertilization amount are adjusted for each management sub-region. The fertilization timing is fine-tuned according to the temperature and humidity change trend, the nutrient ratio is optimized according to the nutrient deficiency level, and the fertilization amount is determined by comprehensively considering economic goals and regional resource carrying capacity, thus forming a customized regional fertilization plan for each management sub-region.

6. The method for fertilizer regulation and application in a bamboo forest according to claim 2, characterized in that, The ternary ecological synergistic fertilization program includes: Based on the nutritional needs of Lei bamboo at different growth and economic stages, a combination of slow-release compound fertilizer, organic fertilizer, and microbial fertilizer is used. Slow-release compound fertilizer serves as the main fertilizer source and is applied as a benchmark during the rapid growth period and the closing period of the forest. Organic fertilizer is used to improve soil structure and enhance water and fertilizer retention capacity, and is applied as base fertilizer or spread in the root active area before the budding period. Microbial fertilizer is applied to the target root zone through hole application or drip irrigation to enhance the activity of the rhizosphere microecology and promote nutrient transformation.

7. The method for fertilizer regulation and application in a bamboo forest according to claim 2, characterized in that, The aforementioned fertilization target enhancement based on the economically viable stage of the target includes: The fertilization program is tailored to the specific economic objectives of each stage. In the juvenile stage, the objective is to promote the survival of bamboo seedlings and the initial development of the root system. In the development stage, the objective is to accelerate the expansion of rhizomes and the growth of the above-ground parts. In the mature stage, the objective is to balance the yield of bamboo shoots with the quality of bamboo. In the harvesting stage, the objective is to optimize the density and physical strength of the mature bamboo.

8. The method for fertilizer regulation and application in a bamboo forest according to claim 2, characterized in that, The dynamic optimization of fertilization programs based on the land scarcity of the target area includes: Historical data on fertilization input costs and output benefits are collected. By comparing fertilization input costs and output benefits in multiple dimensions, a fertilizer economic benefit optimization model is constructed, which outputs the unit net income and input-output ratio for evaluating different fertilization schemes under different fertilization input costs. Combined with parameters of land scarcity in the target area, including land rent costs, land use years, and surrounding land use intensity, the current land economic pressure level of the area is determined. Based on the land economic pressure level, the fertilization scheme is optimized to dynamically adjust the fertilization scheme under different land resource economic constraints, so as to maximize the overall fertilization benefits.

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