A method and system for regulating the growth of fruit trees

Abstract

This invention relates to the field of dwarfing regulation technology, specifically a method and system for regulating dwarfing cultivation of fruit trees. The method includes the following steps: deploying probes to detect nitrogen, phosphorus, and potassium content and monitor shoot length; calculating elongation rate to match nutrient and growth ratios; calculating ratios to compare thresholds and mark states; calculating ratios to adjust and match fertilization to generate a nutrient ratio; calculating fertilization amount and writing it into parameters; and acquiring change data to calculate changes and generate a response set. In this invention, by constructing soil nutrient detection in the root distribution area and combining it with continuous shoot growth data, a correspondence between nutrients and growth at the individual tree level is established. This links underground nutrient status with aboveground growth performance. Based on ratio adjustment and fertilization plan matching, nutrient regulation is transformed into a quantitative fertilization process, and then converted into executable fertilization instructions through parameterization. By combining changes in growth rate and nutrient ratios before and after regulation, the regulation process has continuous correction capabilities, thereby improving the individual tree adaptability and the stability of dwarfing control.

Description

Technical Field

[0001] This invention relates to the field of dwarfing regulation technology, and in particular to a method and system for regulating dwarfing cultivation of fruit trees. Background Technology

[0002] The field of dwarfing cultivation and regulation technology for fruit trees involves fruit tree cultivation management and growth control techniques. It primarily focuses on regulating the tree structure, growth vigor, and fruiting capacity of fruit trees through cultivation measures and physiological adjustments. Core aspects include rootstock selection and grafting combinations, pruning and shaping design, water and fertilizer management systems, and plant growth regulator application strategies. By regulating nutrient distribution, growth cycle, and organ development, it achieves systematic management of the fruit tree's growth status. Traditional dwarfing cultivation and regulation methods involve selecting dwarfing rootstocks for grafting, using shortening pruning to control branch growth, regulating vegetative growth through controlled water and nitrogen fertilization, and applying growth inhibitors such as paclobutrazol to reduce tree vigor. This addresses technical aspects such as tree height control, crown expansion limitation, and flowering and fruit setting regulation. Specific implementation methods include rootstock and scion combination configuration, pruning time and amount, fertilizer type and application period control, and the concentration and frequency of plant growth regulator application.

[0003] Traditional dwarfing cultivation management of fruit trees relies heavily on standardized rootstock and scion configurations and empirical pruning and fertilization practices. Differences in soil nutrient levels and growth patterns among individual trees are difficult to identify effectively, leading to some trees exhibiting excessive growth while others experience stunted growth within the same area. For example, under uniform nitrogen fertilizer application, areas with higher soil fertility tend to experience excessive shoot growth, while areas with lower fertility show short and weak shoots, resulting in an uneven overall tree vigor. Pruning and fertilizer control measures are often based on time points or empirical judgments, lacking continuous data support and failing to accurately reflect changes in growth rate. This can easily lead to delayed or excessive intervention, such as failure to promptly address changes after pruning. Adjusting nutrient levels may trigger secondary excessive growth; the use of regulators such as paclobutrazol relies on fixed concentrations and frequency, lacking differentiated control for different growth stages, which can easily lead to excessive inhibition or insufficient effect, affecting flower bud differentiation and fruit set stability; the fertilization process mainly focuses on total amount control, lacking dynamic balance management of the nitrogen, phosphorus, and potassium ratio, resulting in an unbalanced nutrient structure, affecting root absorption efficiency and fruit quality; the overall regulation process lacks a feedback evaluation mechanism, making it difficult to quantify the regulation effect, and subsequent adjustments rely heavily on subjective experience, making it difficult to form a continuous optimization path, thus leading to problems such as unstable tree structure, yield fluctuations, and inconsistent quality in long-term cultivation. Summary of the Invention

[0004] To achieve the above objectives, the present invention adopts the following technical solution: a method for regulating dwarfing cultivation of fruit trees, comprising the following steps: S1: Deploy nutrient sensor probes to detect nitrogen, phosphorus, and potassium content values, monitor the continuous time node length records of the growth zone at the top of the new shoots, calculate the new shoot elongation rate, match soil nutrient data with new shoot growth data according to individual plant number, and generate a single plant growth and nutrient matching dataset. S2: Based on the single plant growth and nutrient matching dataset, calculate the corresponding ratio values ​​of nitrogen content, phosphorus content, and potassium content, compare the nitrogen ratio value with the set upper and lower limits of nitrogen ratio, compare the new shoot elongation rate value with the set upper and lower limits of new shoot growth rate, mark the data of different condition combinations and summarize them according to the single plant number to generate a single plant vegetative growth status label. S3: Based on the single plant vegetative growth status marker, call the nitrogen ratio value and calculate the nitrogen ratio adjustment amount. Based on the ratio relationship between the phosphorus ratio value and the potassium ratio value, calculate the adjustment result, match the adjusted ratio value with the single plant fertilization plan amount, and generate a single plant fertilization ratio instruction. S4: Based on the single-plant fertilization ratio instruction, call the control port parameters of the drip irrigation fertilization control terminal equipment, calculate the nitrogen fertilization amount, phosphorus fertilization amount, and potassium fertilization amount, write them into the fertilization equipment control parameter area, and generate a single-plant fertilization execution control parameter group. S5: Based on the control parameter set for single-plant fertilization, obtain the soil profile nutrient detection results and the change data of the length of the apical growth zone of the new shoots in the canopy, calculate the change in the rate of shoot elongation and the change in the nitrogen ratio, organize them by single-plant number, and generate a set of single-plant dwarfing regulation response differences.

[0005] As a further aspect of the present invention, the single-plant growth and nutrient matching dataset includes a single-plant number index, soil nitrogen content records, soil phosphorus content records, soil potassium content records, new shoot length time series, and new shoot elongation rate values; the single-plant vegetative growth status markers include nitrogen ratio status labels, new shoot rate level labels, threshold interval discrimination labels, combination condition classification labels, and single-plant status code identifiers; the single-plant fertilization ratio instruction includes a nitrogen ratio adjustment coefficient, a phosphorus ratio coordination coefficient, a potassium ratio balance coefficient, a ratio matching identifier, and a ratio output code; the single-plant fertilization execution control parameter group includes nitrogen fertilizer amount parameters, phosphorus fertilizer amount parameters, potassium fertilizer amount parameters, device port control parameters, and fertilization timing parameters; the single-plant dwarfing regulation response difference set includes new shoot rate change difference, nitrogen ratio change difference, response amplitude identifier, single-plant response number, and regulation effect evaluation value.

[0006] As a further aspect of the present invention, the upper limit threshold of nitrogen ratio and the lower limit threshold of nitrogen ratio are determined according to the statistical distribution range of nitrogen content values ​​within the historical period corresponding to the individual plant number. The statistical distribution range is defined by sorting the nitrogen content values ​​of multiple consecutive time nodes and taking the high-order interval value and the low-order interval value as the boundary.

[0007] As a further aspect of the present invention, the upper limit threshold of the new shoot growth rate and the lower limit threshold of the new shoot growth rate are set according to the variation range calculated based on the length record value of the new shoot elongation rate at consecutive time nodes. The variation range is obtained by smoothing the difference sequence of adjacent time nodes.

[0008] As a further aspect of the present invention, the specific steps of S1 are as follows: S101: Obtain the nitrogen, phosphorus and potassium content values ​​detected by nutrient sensor probes in the soil profile layer of the fruit tree root distribution area, perform standardization processing on the content values ​​and perform proportional correction according to the corresponding benchmark values, reorganize the detection node values ​​into a three-dimensional vector sequence with a unified structure, and generate a soil nutrient three-dimensional numerical matrix. S102: Monitor the length records of the growing zone at the top of the new shoots at continuous time nodes, calculate the elongation rate corresponding to the length changes at adjacent time nodes and form a rate sequence, perform outlier detection and removal on the rate sequence, retain the stable changes, and generate a new shoot elongation rate sequence. S103: Based on the soil nutrient ternary numerical matrix and the new shoot elongation rate sequence, perform index matching and sequence alignment operations according to the single fruit tree number, structurally splice the nutrient vector sequence and rate sequence and complete field rearrangement to form a unified data structure entry, and generate a single tree growth and nutrient matching dataset.

[0009] As a further aspect of the present invention, the specific steps of S2 are as follows: S201: Based on the single plant growth and nutrient matching dataset, calculate the corresponding proportions of nitrogen content, phosphorus content, and potassium content, set an upper limit threshold and a lower limit threshold for nitrogen proportion, perform interval determination on the nitrogen proportion of a single plant and identify the interval category, associate the determination result with the corresponding number and generate a nitrogen proportion interval identification sequence. S202: Based on the nitrogen ratio interval identifier sequence, call the corresponding new shoot elongation rate value in the single plant growth and nutrient matching dataset, set the upper limit threshold and lower limit threshold of the new shoot growth rate, perform interval determination on the rate value and identify the rate category, and combine the rate category with the nitrogen ratio interval identifier to generate a nitrogen-rate combination label sequence. S203: Based on the nitrogen rate combination marker sequence, perform grouping and aggregation processing according to the individual plant number, summarize the combination markers with the same number and reconstruct them into a unified identifier structure, perform category mapping and field integration processing on the identifier structure to form the corresponding individual plant status marker result, and generate the individual plant vegetative growth status marker.

[0010] As a further aspect of the present invention, the specific steps of S3 are as follows: S301: Based on the single plant vegetative growth status marker, call the corresponding single plant nitrogen ratio value and calculate the nitrogen ratio adjustment amount, set the nitrogen ratio adjustment benchmark interval, perform interval determination between the single plant nitrogen ratio value and the corresponding interval boundary and determine the deviation direction, perform adjustment amount calculation on the nitrogen ratio value according to the deviation direction and form a corresponding adjustment sequence, and generate a nitrogen ratio adjustment amount sequence. S302: Based on the nitrogen ratio adjustment sequence, call the corresponding phosphorus ratio value and potassium ratio value, establish the ratio relationship expression structure between the phosphorus ratio value and potassium ratio value, perform consistency judgment on the ratio relationship and form an adjustment coefficient sequence, perform joint mapping processing on the adjustment coefficient sequence and nitrogen ratio adjustment sequence to obtain the corresponding ratio adjustment result, and generate phosphorus-potassium ratio linkage adjustment sequence. S303: Based on the phosphorus-potassium ratio linkage adjustment sequence, call the single-plant fertilization plan amount, perform matching operation on the adjusted ratio value of the single plant and the fertilization plan amount and construct the ratio allocation structure, integrate the fields and rearrange the sequence of the ratio allocation structure according to the single plant number, and generate the single-plant fertilization ratio allocation instruction.

[0011] As a further aspect of the present invention, the specific steps of S4 are as follows: S401: Based on the single-tree fertilization ratio instruction, call the control port parameters of the drip irrigation fertilization control terminal equipment in the fruit tree dwarfing cultivation regulation method, perform correspondence matching processing on the control port parameters and the fertilization ratio field, construct a mapping structure between the ratio field and the port parameter configuration items, and integrate the fields of the mapping structure to generate a fertilization port parameter mapping table. S402: According to the fertilization port parameter mapping table, call the nitrogen ratio field, phosphorus ratio field and potassium ratio field, calculate the corresponding fertilizer amount value and form a fertilizer amount sequence, and perform structural combination processing on the fertilizer amount sequence and port parameter configuration items to generate a fertilizer amount parameter structure sequence. S403: Based on the fertilizer application parameter structure sequence, call the control parameter area of ​​the drip irrigation fertilizer control terminal equipment, perform field writing and position matching processing on the parameter structure, write the nitrogen fertilizer application value, phosphorus fertilizer application value and potassium fertilizer application value into the control parameter area, and generate a single-plant fertilizer application execution control parameter group.

[0012] As a further aspect of the present invention, the specific steps of S5 are as follows: S501: Based on the single-tree fertilization execution control parameter group, obtain the soil profile nutrient detection results of the fruit tree root distribution area and the length change data of the top growth zone of the new shoots in the canopy. Perform association and organization on the nutrient detection results and length change data according to the single-tree number, and perform difference calculation on the length change of continuous time nodes to generate a sequence of new shoot growth change. S502: Based on the new shoot growth change sequence, call the nitrogen ratio value in the corresponding nutrient detection results, perform the difference calculation on the nitrogen ratio value before and after each time node to form a change sequence, and align the nitrogen ratio change with the new shoot growth change by numbering to establish a corresponding relationship structure and generate a nitrogen growth difference association sequence. S503: Based on the nitrogen growth difference association sequence, perform data grouping and sequence integration processing according to the individual plant number, perform field splicing and structural recombination on the difference sequences corresponding to the number to form a unified difference expression structure, and perform number aggregation processing on the structural data to generate a set of individual plant dwarfing regulation response differences.

[0013] A dwarfing cultivation regulation system for fruit trees includes: The root zone monitoring module acquires the nitrogen, phosphorus and potassium content values ​​of the soil profile layer of the fruit tree root distribution area by deploying nutrient sensor probes, monitors the length of the continuous time node of the growth zone at the top of the new shoot, calculates the new shoot elongation rate, and organizes the soil nutrient data and new shoot growth data according to the single fruit tree number to generate a single tree growth and nutrient matching dataset. The ratio determination module calculates the ratio values ​​corresponding to nitrogen, phosphorus, and potassium content values ​​based on the single plant growth and nutrient matching dataset. It compares the nitrogen ratio value with the set upper and lower threshold values ​​of nitrogen ratio, and at the same time compares the new shoot elongation rate value with the set upper and lower threshold values ​​of new shoot growth rate. Data that meet different combinations of conditions are marked and summarized by single plant number to generate a single plant vegetative growth status label. The growth regulation module calls the corresponding nitrogen ratio value of the individual plant according to the vegetative growth status mark of the individual plant and calculates the nitrogen ratio adjustment amount. At the same time, it calculates the corresponding adjustment result according to the ratio relationship between the phosphorus ratio value and the potassium ratio value. The adjusted ratio value is matched with the fertilizer plan amount of the individual plant to generate the fertilizer ratio instruction of the individual plant. Based on the single-plant fertilization ratio instruction, the fertilizer control module calls the control port parameters of the drip irrigation fertilization control terminal equipment, calculates the nitrogen fertilizer amount, phosphorus fertilizer amount, and potassium fertilizer amount, and writes them into the fertilization equipment control parameter area to generate a single-plant fertilization execution control parameter group. The response calculation module obtains the nutrient detection results of the soil profile layer in the root distribution area of ​​the fruit tree and the length change data of the growth zone at the top of the new shoots of the canopy, according to the control parameter group for single-tree fertilization. It calculates the change in the rate of shoot elongation and the change in nitrogen ratio, and organizes them according to the single-tree number to generate a set of single-tree dwarfing regulation response differences.

[0014] Compared with the prior art, the advantages and positive effects of the present invention are as follows: In this invention, by constructing soil nutrient detection in the root distribution area and combining it with continuous shoot growth data, a nutrient-growth correspondence at the individual plant level is formed, thus linking the underground nutrient status with the above-ground growth performance. Based on ratio adjustment and matching with fertilization plans, nutrient regulation is transformed into a quantitative ratio process, and then converted into executable fertilization instructions through parameterization. By combining the changes in growth rate and nutrient ratio before and after regulation, the regulation process has the ability to continuously correct itself, thereby improving the individual plant's ability to adapt to differences and the stability of dwarfing control. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of the steps of the present invention; Figure 2 This is a detailed schematic diagram of S1 of the present invention; Figure 3 This is a detailed schematic diagram of S2 of the present invention; Figure 4 This is a detailed schematic diagram of S3 of the present invention; Figure 5 This is a detailed schematic diagram of S4 of the present invention; Figure 6 This is a detailed schematic diagram of S5 of the present invention; Figure 7 This is a system module diagram of the present invention. Detailed Implementation

[0017] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0018] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0019] Please see Figure 1 This invention provides a method for regulating dwarfing cultivation of fruit trees, comprising the following steps: S1: Obtain the nitrogen, phosphorus and potassium content values ​​of the soil profile layer in the root distribution area of ​​fruit trees by deploying nutrient sensor probes, monitor the continuous time node length records of the growth zone at the top of the new shoots, calculate the new shoot elongation rate, and organize the soil nutrient data and new shoot growth data according to the individual fruit tree number to generate a single tree growth and nutrient matching dataset. S2: Based on the single plant growth and nutrient matching dataset, calculate the corresponding proportions of nitrogen content, phosphorus content, and potassium content. Compare the nitrogen proportion with the set upper and lower limits of nitrogen proportion. At the same time, compare the new shoot elongation rate with the set upper and lower limits of new shoot growth rate. Mark the data that meet different combinations of conditions and summarize them by single plant number to generate a single plant vegetative growth status label. S3: Based on the individual plant vegetative growth status marker, call the corresponding individual plant nitrogen ratio value and calculate the nitrogen ratio adjustment amount. At the same time, calculate the corresponding adjustment result based on the ratio relationship between the phosphorus ratio value and the potassium ratio value. Match the adjusted ratio value with the individual plant fertilization plan amount to generate the individual plant fertilization ratio instruction. S4: Based on the single-plant fertilization ratio instruction, call the control port parameters of the drip irrigation fertilization control terminal equipment, calculate the nitrogen fertilization amount, phosphorus fertilization amount, and potassium fertilization amount and write them into the fertilization equipment control parameter area to generate a single-plant fertilization execution control parameter group. S5: Based on the control parameter group for single-tree fertilization, obtain the nutrient detection results of the soil profile layer in the root distribution area of ​​the fruit tree and the length change data of the growth zone at the top of the new shoots in the canopy. Calculate the change in the rate of shoot elongation and the change in nitrogen ratio, and organize them according to the single-tree number to generate a set of single-tree dwarfing regulation response differences.

[0020] The single-plant growth and nutrient matching dataset includes a single-plant ID index, soil nitrogen content records, soil phosphorus content records, soil potassium content records, new shoot length time series, and new shoot elongation rate values; the single-plant vegetative growth status label includes a nitrogen ratio status label, a new shoot rate level label, a threshold interval discrimination label, a combination condition classification label, and a single-plant status code identifier; the single-plant fertilization ratio instruction includes a nitrogen ratio adjustment coefficient, a phosphorus ratio coordination coefficient, a potassium ratio balance coefficient, a ratio matching identifier, and a ratio output code; the single-plant fertilization execution control parameter group includes nitrogen fertilizer application parameters, phosphorus fertilizer application parameters, potassium fertilizer application parameters, equipment port control parameters, and fertilization time sequence parameters; the single-plant dwarfing regulation response difference set includes new shoot rate change difference, nitrogen ratio change difference, response amplitude identifier, single-plant response number, and regulation effect evaluation value.

[0021] Please see Figure 2 The specific steps of S1 are as follows: S101: Obtain the nitrogen, phosphorus and potassium content values ​​detected by nutrient sensor probes in the soil profile layer of the fruit tree root distribution area, perform standardization processing on the content values ​​and perform proportional correction according to the corresponding benchmark values, reorganize the detection node values ​​into a three-dimensional vector sequence with a unified structure, and generate a soil nutrient three-dimensional numerical matrix. Sensor probes were deployed at three soil profile depths of 100 mm, 300 mm, and 500 mm in the fruit tree planting area. The probes collected nitrogen, phosphorus, and potassium content values ​​every 10 minutes, with the raw data in milligrams per kilogram (mg / kg). The collected data for a single fruit tree at the three depths were 45, 52, and 48 mg / kg; 18, 20, and 19 mg / kg; and 120, 135, and 128 mg / kg. Null values ​​were removed from the collected data; if a node had two consecutive empty data points, that node's data was discarded. A moving average was used to smooth out abrupt changes, with a window length of three sampling points. Standardization was then performed, setting the baseline values ​​for nitrogen (50), phosphorus (20), and potassium (130). These baseline values ​​were obtained from the historical averages over the previous 30 days; for example, the historical average for nitrogen was 49.6, rounded down to 50. When performing proportional correction on nitrogen content 45, the ratio of 45 to 50 is calculated to obtain 0.90. Similarly, 52 corresponds to 1.04, and 48 corresponds to 0.96. Phosphorus and potassium are processed in the same way. Each detection node generates a ternary vector consisting of nitrogen, phosphorus, and potassium ratios; for example, the first depth node is 0.90, 0.90, and 0.92. Arranging the three depth nodes in chronological order to form a 3x3 matrix yields the ternary numerical matrix of soil nutrients.

[0022] S102: Based on the ternary numerical matrix of soil nutrients, monitor the length records of the growing zone at the top of the new shoots of the tree canopy at continuous time nodes, calculate the elongation rate corresponding to the length changes at adjacent time nodes and form a rate sequence, perform outlier judgment and removal on the rate sequence, retain the stable changes, and generate a new shoot elongation rate sequence. Length measurement scales were set up on the same fruit tree, and the length of the apical growth zone of the new shoots was recorded every 12 hours for 5 consecutive days, resulting in 10 time points and length sequences such as 120 mm, 128 mm, 136 mm, 145 mm, and 153 mm. Difference calculations were performed on adjacent time points; for example, subtracting the first time point's 120 mm from the second time point's 128 mm yielded an 8 mm growth. Dividing this growth by the 12-hour time interval gave an elongation rate of 0.67 mm per hour. The rate sequences were then calculated to be 0.67, 0.67, 0.75, and 0.67, respectively. Outlier detection was performed on the rate sequences, with an outlier threshold range of 0.28 to 1.08 mm per hour. This range was derived by statistically analyzing a sample of 50 fruit trees, yielding an average of 0.68 and a standard fluctuation range of 0.40. Extending this range outwards, rates below 0.28 or above 1.08 were considered outliers and removed; for example, a rate of 1.50 was deleted. After removing the subtracted data, the remaining data are retained in chronological order to form an effective new shoot elongation rate sequence of length 8.

[0023] S103: Based on the soil nutrient ternary numerical matrix and the new shoot elongation rate sequence, perform index matching and sequence alignment operations according to the single fruit tree number, structurally splice the nutrient vector sequence and rate sequence and complete the field rearrangement to form a unified data structure entry, and generate a single tree growth and nutrient matching dataset. The soil nutrient ternary numerical matrix and the shoot elongation rate sequence are indexed and matched according to individual plant numbers, and aligned with corresponding time nodes. For example, soil data is sampled every 10 minutes, and shoot data is sampled every 12 hours. The average soil mean data for each 12-hour period is selected for matching. The average of 72 soil sampling points within the same time period is calculated to obtain one matching value. For example, the average nitrogen ratio is 0.98, the phosphorus ratio is 1.02, and the potassium ratio is 0.99. This ternary vector is then structurally concatenated with the corresponding elongation rate of 0.67 to form a 6-field data structure. The fields are rearranged in order as number, time node, nitrogen ratio, phosphorus ratio, potassium ratio, and elongation rate. The concatenation operation is performed sequentially for 10 time nodes to form 10 data records with a unified structure. All records are then summarized by individual plant number to generate an individual plant growth and nutrient matching dataset.

[0024] Please see Figure 3 The specific steps of S2 are as follows: S201: Based on the single plant growth and nutrient matching dataset, calculate the corresponding proportions of nitrogen, phosphorus and potassium content values, set the upper and lower thresholds of nitrogen proportion, perform interval determination on the nitrogen proportion value of a single plant and identify the interval category, associate the determination result with the corresponding number and generate a nitrogen proportion interval identification sequence. Nitrogen content ratios are extracted from the single-plant growth and nutrient matching dataset. For each record, the nitrogen ratio is calculated as a percentage of the total nitrogen, phosphorus, and potassium ratio. For example, if the nitrogen ratio is 0.98, phosphorus ratio is 1.02, and potassium ratio is 0.99 at a certain time point, the sum of these three is 2.99. Dividing the nitrogen ratio of 0.98 by 2.99 yields a nitrogen percentage of 0.33. An upper limit threshold of 0.38 and a lower limit threshold of 0.28 are set. This range is determined by sorting 100 sets of historical data and taking the 20th and 80th percentiles. For example, the 20th percentile is 0.29 and the 80th percentile is 0.37. After smoothing, this range is determined to be 0.28 to 0.38. 0.33 is compared with this range. Values ​​falling within the range are marked as normal (range number 2), values ​​less than 0.28 are marked as low (range number 1), and values ​​greater than 0.38 are marked as high (range number 3). For all 10 time points, interval determination is performed to generate nitrogen ratio interval identifier sequences such as 2, 2, 3, 2, 1, etc., and these sequences are encoded and associated with the corresponding individual plant numbers.

[0025] S202: Based on the nitrogen ratio interval identifier sequence, call the corresponding new shoot elongation rate value in the single plant growth and nutrient matching dataset, set the upper limit threshold and lower limit threshold of the new shoot growth rate, perform interval determination on the rate value and identify the rate category, combine the rate category and nitrogen ratio interval identifier to generate nitrogen rate combination label sequence. Based on the nitrogen ratio interval identifier sequence, the corresponding new shoot elongation rate value is retrieved one by one. The upper threshold for the rate is set to 1.00 mm / h, and the lower threshold to 0.36 mm / h. This threshold is determined by varying the sample average of 0.68 by 0.32. A rate value of 0.67 is compared with the interval; values ​​between 0.36 and 1.00 are marked as medium-speed category number 2, values ​​less than 0.36 are marked as low-speed category number 1, and values ​​greater than 1.00 are marked as high-speed category number 3. The rate category and the nitrogen ratio interval identifier are combined for encoding. For example, nitrogen interval number 2 and rate number 2 are combined to form code 22, and nitrogen interval number 3 and rate number 2 form code 32. This combination is performed for all time points to obtain the nitrogen-rate combined label sequence.

[0026] S203: Based on the nitrogen rate combination marker sequence, grouping and aggregation processing is performed according to the individual plant number. The combination markers with the same number are summarized and reconstructed into a unified identifier structure. Category mapping and field integration processing are performed on the identifier structure to form the corresponding individual plant status marker result and generate the individual plant vegetative growth status marker. The nitrogen rate combination marker sequences were grouped according to individual plant numbers. A summary statistical analysis was performed on the 10 combination markers with the same number, counting the frequency of each combination. For example, code 22 appeared 6 times, code 32 appeared 2 times, and code 21 appeared 2 times. The combinations with the highest frequency were sorted, and the combination code with the second highest frequency was selected as the primary state identifier. The second highest frequency combination code was used as the secondary identifier, constructing a unified identifier structure, such as primary state 22 and secondary state 32. This structure was then subjected to category mapping, mapping 22 to a balanced growth state and 32 to a nitrogen-scarce state, forming individual plant vegetative growth state markers.

[0027] Please see Figure 4 The specific steps of S3 are as follows: S301: Based on the single plant vegetative growth status marker, call the corresponding single plant nitrogen ratio value and calculate the nitrogen ratio adjustment amount, set the nitrogen ratio adjustment benchmark interval, perform interval judgment between the single plant nitrogen ratio value and the corresponding interval boundary and determine the deviation direction, perform adjustment amount calculation on the nitrogen ratio value according to the deviation direction and form the corresponding adjustment sequence, and generate the nitrogen ratio adjustment amount sequence. The data for each time point corresponding to the vegetative growth status of a single plant are expanded one by one, and the corresponding nitrogen ratio numerical sequence is read. For example, the nitrogen ratio values ​​of a single plant at five consecutive time points are 0.40, 0.37, 0.34, 0.32, and 0.29, respectively. The nitrogen ratio adjustment baseline range is set to 0.30 to 0.35. This range was obtained by statistically analyzing 120 historical stable growth samples, with a mean of 0.33 and a maximum fluctuation range of 0.05. After screening, the middle stable range is selected. For each time point, an interval judgment is performed. When the nitrogen ratio of 0.40 is compared with the upper limit of the interval of 0.35, it is judged to be too high, and the deviation is calculated as 0.05. The deviation is multiplied by the adjustment coefficient of 0.80 to obtain the adjustment value of 0.04. This adjustment coefficient is determined by gradually testing 30 sets of data within the range of 0.70 to 0.90. When 0.80 is taken, the fluctuation of the corresponding new shoots is the most stable. Subtracting 0.04 from 0.40 yields an adjusted nitrogen ratio of 0.36. Comparing 0.29 to the lower limit of 0.30, it is determined to be too low, with a deviation of 0.01. Multiplying 0.01 by 0.80 gives 0.008, and adding 0.008 to 0.29 gives 0.298, rounded to three decimal places. This process is repeated for all nodes, resulting in a nitrogen ratio adjustment sequence of 0.04, 0.016, 0.008, etc. The adjusted values ​​are compared again with the baseline range. If a deviation exceeding 0.02 still exists, the adjustment is repeated once more to obtain a stable nitrogen ratio adjustment sequence.

[0028] S302: Based on the nitrogen ratio adjustment sequence, call the corresponding phosphorus ratio and potassium ratio values, establish the ratio relationship expression structure between the phosphorus ratio and potassium ratio values, perform consistency judgment on the ratio relationship and form an adjustment coefficient sequence, perform joint mapping processing on the adjustment coefficient sequence and nitrogen ratio adjustment sequence to obtain the corresponding ratio adjustment result, and generate phosphorus and potassium ratio linkage adjustment sequence. At each time point, the corresponding phosphorus and potassium ratio values ​​are retrieved. For example, at a certain time point, the phosphorus ratio is 1.02 and the potassium ratio is 0.97. The ratio of the two is calculated to be approximately 1.05. The consistency range of the phosphorus and potassium ratio is set to 0.95 to 1.05. This range is determined by statistically analyzing 80 fertilization samples, obtaining an average value of 1.00 and a maximum deviation of 0.05. The value of 1.05 is compared with the boundary of the range. If it is within the range, it is considered consistent and no adjustment is performed. If at a certain time point the phosphorus ratio is 1.12 and the potassium ratio is 1.00, the ratio is 1.12, which exceeds the upper limit of the set consistency range by 0.07. The deviation of 0.07 is multiplied by the adjustment coefficient of 0.60 to obtain an adjustment amount of 0.042. The phosphorus ratio and potassium ratio at this time point are adjusted separately, that is, the phosphorus ratio of 1.12 is subtracted by 0.042 to obtain 1.078, and the potassium ratio of 1.00 is increased by 0.042 to obtain 1.042. The above adjustment results are jointly mapped with the nitrogen ratio adjustment sequence. For example, at the node where the nitrogen ratio is adjusted to 0.36, the corresponding phosphorus and potassium adjusted values ​​are combined into a ternary structure of 0.36, 0.978, and 1.012. Consistency determination and adjustment operations are performed on all nodes to form a complete phosphorus and potassium ratio linkage adjustment sequence.

[0029] S303: Based on the phosphorus-potassium ratio linkage adjustment sequence, call the single-plant fertilization plan, perform matching operation on the adjusted single-plant ratio value and the fertilization plan and construct the ratio allocation structure, integrate the fields and rearrange the sequence of the ratio allocation structure according to the single-plant number, and generate the single-plant fertilization ratio instruction. The system retrieves the planned fertilization amount per tree, for example, a daily fertilization amount of 300 grams per tree, obtained from the planting management record system based on a tree age of 5 years and a density of 120 trees per acre. The adjusted nitrogen, phosphorus, and potassium ratios at each node in S302 are normalized. Selecting node values ​​of 0.36, 0.978, and 1.012, the sum of these three values ​​is calculated to obtain 2.35. Each ratio is then compared to the sum to obtain a nitrogen ratio of 0.15, a phosphorus ratio of 0.42, and a potassium ratio of 0.43. The total fertilization amount of 300 grams is multiplied by the corresponding ratios to obtain a nitrogen fertilization amount of 45 grams, a phosphorus fertilization amount of 126 grams, and a potassium fertilization amount of 129 grams. This operation is repeated for 10 time nodes, and the results are arranged in chronological order to form a proportional allocation structure array, for example, node 1: 45, 126, 129; node 2: 48, 120, 132. Perform field integration on all nodes, rearrange the number, time node and corresponding fertilizer amount to generate a single-plant fertilizer ratio instruction sequence.

[0030] Please see Figure 5 The specific steps of S4 are as follows: S401: Based on the single-tree fertilization ratio instruction, call the control port parameters of the drip irrigation fertilization control terminal equipment in the fruit tree dwarfing cultivation regulation method, perform correspondence matching processing on the control port parameters and the fertilization ratio field, construct the mapping structure between the ratio field and the port parameter configuration items, and integrate the fields of the mapping structure to generate the fertilization port parameter mapping table. The nitrogen, phosphorus, and potassium fertilizer application values ​​are extracted line by line from the single-plant fertilizer ratio instruction sequence. For a given single plant at time point 1, the corresponding fertilizer application amounts are 45 grams of nitrogen, 126 grams of phosphorus, and 129 grams of potassium. Simultaneously, the control port parameter configuration file of the drip irrigation fertilization control terminal equipment is read. This file records the port number, maximum output capacity, and flow rate adjustment step size. For example, port 1 has a maximum output of 500 grams per hour and an adjustment step size of 5 grams; port 2 has a maximum output of 450 grams per hour and an adjustment step size of 5 grams; and port 3 has a maximum output of 480 grams per hour and an adjustment step size of 5 grams. A mapping relationship is performed between the fertilizer ratio field and the port parameters, mapping the nitrogen fertilizer application field to port 1, the phosphorus fertilizer application field to port 2, and the potassium fertilizer application field to port 3. For each port, a capacity check is performed. The nitrogen fertilizer application of 45 grams is compared with the maximum output of 500 grams for port 1, and the occupancy ratio is calculated to be 0.09. This ratio is recorded as the port load parameter. Similarly, 126 grams of phosphorus corresponds to an occupancy ratio of approximately 0.28 for port 2, and 129 grams of potassium corresponds to an occupancy ratio of approximately 0.27 for port 3. The port number, fertilizer application value, maximum output capacity, and occupancy ratio are integrated into a complete mapping structure record. The same operation is performed on all 10 time nodes to generate a fertilizer port parameter mapping table.

[0031] S402: Based on the fertilization port parameter mapping table, call the nitrogen ratio field, phosphorus ratio field and potassium ratio field, calculate the corresponding fertilization amount value and form a fertilization amount sequence, perform structural combination processing on the fertilization amount sequence and port parameter configuration items, and generate a fertilization amount parameter structure sequence. The system reads the port load parameters and fertilizer application values ​​one by one, and performs a conversion between the fertilizer application value and output capacity for each port. For example, port 1 has a fertilizer application of 45 grams, corresponding to a maximum output of 500 grams per hour. Dividing 45 grams by 500 grams gives a running time ratio of 0.09. Multiplying this ratio by 60 minutes gives a running time of approximately 5.4 minutes. Simultaneously, discretization is performed based on an adjustment step size of 5 grams, adjusting 45 grams to the closest possible step size multiple while keeping 45 grams constant. Port 2 has a fertilizer application of 126 grams, corresponding to an output capacity of 450 grams per hour, with a calculated running time of approximately 16.8 minutes. Adjusting to 125 grams with a step size of 5 grams corresponds to a running time of approximately 16.7 minutes. Port 3 has a fertilizer application of 129 grams, corresponding to an output capacity of 480 grams per hour, with a calculated running time of approximately 16.2 minutes. Adjusting to 130 grams with a step size corresponds to a running time of approximately 16.3 minutes. The adjusted fertilizer application value is combined with the running time parameter to construct a three-field structure of port number, fertilizer application value, and running time. The same calculation is performed on all time nodes to form a fertilizer application parameter structure sequence.

[0032] S403: Based on the fertilizer application parameter structure sequence, call the control parameter area of ​​the drip irrigation fertilizer control terminal equipment, perform field writing and position matching processing on the parameter structure, write the nitrogen fertilizer application value, phosphorus fertilizer application value and potassium fertilizer application value into the control parameter area, and generate a single-plant fertilizer application execution control parameter group. The address table of the control parameter area of ​​the drip irrigation fertilization control terminal equipment is called to read the write address corresponding to each port. For example, port 1 corresponds to address 1001, port 2 to address 1002, and port 3 to address 1003. Data from the fertilizer application parameter structure sequence is written to the corresponding address position one by one. For port 1, a fertilizer application of 45 grams and a running time of 5.4 minutes are written; for port 2, 125 grams and 16.7 minutes are written; and for port 3, 130 grams and 16.3 minutes are written. Address verification is performed during the writing process, comparing the port number with the address number. If they do not match, the write address is repositioned. After writing is complete, a read verification is performed on the parameter area, comparing the written value with the original parameters to ensure consistency. For example, reading the data for port 1, which is 45 grams and 5.4 minutes, matches the original write. Write and verification operations are performed on all 10 time nodes to form a complete single-plant fertilization execution control parameter group, and the write timestamp is recorded for subsequent correlation analysis.

[0033] Please see Figure 6 The specific steps of S5 are as follows: S501: Based on the control parameter group for single-tree fertilization, obtain the nutrient detection results of the soil profile layer in the root distribution area of ​​the fruit tree and the length change data of the apical growth zone of the new shoots in the canopy. Perform association and organization on the nutrient detection results and length change data according to the single-tree number, and perform difference calculation on the length change of consecutive time nodes to generate a sequence of new shoot growth change. Twenty-four hours after fertilization, soil nutrient data were re-collected using nutrient sensor probes deployed in the root zone. Simultaneously, the length of the new shoot tips was measured every 12 hours, for a total of five time points, recording lengths of 155 mm, 161 mm, 168 mm, 175 mm, and 181 mm. Differences were calculated for consecutive time points: subtracting 155 mm from 161 mm at the second time point yielded 6 mm, and subtracting 161 mm from 168 mm at the third time point yielded 7 mm, resulting in the shoot growth change sequence 6, 7, 7, 6. The soil nutrient test results were simultaneously processed, yielding nitrogen ratio sequences of 0.36, 0.34, 0.33, 0.31, and 0.30, which were then organized according to time point numbers to ensure alignment of length change data with nutrient data under the same number, forming a unified data structure.

[0034] S502: Based on the sequence of changes in new shoot growth, the nitrogen ratio value in the corresponding nutrient detection results is called, and the difference between the nitrogen ratio values ​​at each time point is calculated to form a sequence of changes. The nitrogen ratio changes and the new shoot growth changes are numbered and aligned to establish a corresponding relationship structure and generate a nitrogen growth difference association sequence. The difference before and after the nitrogen ratio numerical sequence was calculated. Subtracting the first node's 0.36 from the second node's 0.34 yielded a decrease of 0.02, and subtracting the third node's 0.33 from 0.34 yielded a decrease of 0.01. This resulted in a nitrogen ratio change sequence of 0.02, 0.01, 0.02, and 0.01 for all nodes. The nitrogen ratio change sequence was then aligned with the shoot growth change sequence according to the time node number. For example, node 2 corresponds to a nitrogen change of 0.02 and a growth change of 6 mm, and node 3 corresponds to a nitrogen change of 0.01 and a growth change of 7 mm. A correspondence structure was constructed, combining each pair of data with three fields: number, nitrogen change, and growth change, forming a nitrogen-growth difference correlation sequence.

[0035] S503: Based on the nitrogen growth difference association sequence, data grouping and sequence integration processing are performed according to the individual plant number. The difference sequences corresponding to the number are spliced ​​and restructured to form a unified difference expression structure. The structural data is then processed by number aggregation to generate a set of individual plant dwarfing regulation response differences. The nitrogen growth difference correlation sequences were grouped according to individual plant numbers. All node data for the same number were aggregated, and the nitrogen change and corresponding growth change for each node were concatenated to form a unified difference expression structure. For example, node 2 corresponds to 0.02 mm and 6 mm, and node 3 corresponds to 0.01 mm and 7 mm. Structure reorganization was performed on all nodes, arranging the data in chronological order and grouping all records into a single set. Integrity checks were performed on the data within the set to ensure the number of nodes matched the number of data collections, generating a set of individual plant dwarfing regulation response differences.

[0036] Please see Figure 7 A dwarfing cultivation regulation system for fruit trees, comprising: The root zone monitoring module acquires the nitrogen, phosphorus and potassium content values ​​of the soil profile layer of the fruit tree root distribution area by deploying nutrient sensor probes, monitors the length of the continuous time node of the growth zone at the top of the new shoot, calculates the new shoot elongation rate, and organizes the soil nutrient data and new shoot growth data according to the single fruit tree number to generate a single tree growth and nutrient matching dataset. The ratio determination module calculates the ratio values ​​corresponding to nitrogen, phosphorus, and potassium content values ​​based on the single plant growth and nutrient matching dataset. It compares the nitrogen ratio value with the set upper and lower threshold values ​​of nitrogen ratio, and at the same time compares the new shoot elongation rate value with the set upper and lower threshold values ​​of new shoot growth rate. Data that meet different combinations of conditions are marked and summarized by single plant number to generate a single plant vegetative growth status label. The growth regulation module calls the corresponding nitrogen ratio value of a single plant based on the vegetative growth status of the plant and calculates the nitrogen ratio adjustment amount. At the same time, it calculates the corresponding adjustment result based on the ratio relationship between the phosphorus ratio value and the potassium ratio value. The adjusted ratio value is matched with the fertilization plan amount of a single plant to generate a fertilization ratio instruction for a single plant. The fertilizer application control module, based on the single-plant fertilizer application ratio instruction, calls the control port parameters of the drip irrigation fertilizer application control terminal equipment, calculates the nitrogen fertilizer application amount, phosphorus fertilizer application amount, and potassium fertilizer application amount, and writes them into the fertilizer equipment control parameter area to generate a single-plant fertilizer application execution control parameter group. The response calculation module obtains the nutrient detection results of the soil profile layer in the root distribution area of ​​the fruit tree and the length change data of the growth zone at the top of the new shoots of the canopy, based on the control parameter group of fertilization for individual trees. It calculates the change in the elongation rate of the new shoots and the change in the nitrogen ratio, and organizes them according to the individual tree number to generate a set of individual tree dwarfing regulation response differences.

[0037] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for regulating the dwarfing cultivation of fruit trees, characterized by, Includes the following steps: S1: Deploy nutrient sensor probes to detect nitrogen, phosphorus, and potassium content values, monitor the continuous time node length records of the growth zone at the top of the new shoots, calculate the new shoot elongation rate, match soil nutrient data with new shoot growth data according to individual plant number, and generate a single plant growth and nutrient matching dataset. S2: Based on the single plant growth and nutrient matching dataset, calculate the corresponding ratio values ​​of nitrogen content, phosphorus content, and potassium content, compare the nitrogen ratio value with the set upper and lower limits of nitrogen ratio, compare the new shoot elongation rate value with the set upper and lower limits of new shoot growth rate, mark the data of different condition combinations and summarize them according to the single plant number to generate a single plant vegetative growth status label. The specific steps of S2 are as follows: S201: Based on the single plant growth and nutrient matching dataset, calculate the corresponding proportions of nitrogen content, phosphorus content, and potassium content, set an upper limit threshold and a lower limit threshold for nitrogen proportion, perform interval determination on the nitrogen proportion of a single plant and identify the interval category, associate the determination result with the corresponding number and generate a nitrogen proportion interval identification sequence. S202: Based on the nitrogen ratio interval identifier sequence, call the corresponding new shoot elongation rate value in the single plant growth and nutrient matching dataset, set the upper limit threshold and lower limit threshold of the new shoot growth rate, perform interval determination on the rate value and identify the rate category, and combine the rate category with the nitrogen ratio interval identifier to generate a nitrogen-rate combination label sequence. S203: Based on the nitrogen rate combination marker sequence, perform grouping and aggregation processing according to the individual plant number, summarize the combination markers with the same number and reconstruct them into a unified identifier structure, perform category mapping and field integration processing on the identifier structure to form the corresponding individual plant status marker result, and generate the individual plant vegetative growth status marker. S3: Based on the single plant vegetative growth status marker, call the nitrogen ratio value and calculate the nitrogen ratio adjustment amount. Based on the ratio relationship between the phosphorus ratio value and the potassium ratio value, calculate the adjustment result, match the adjusted ratio value with the single plant fertilization plan amount, and generate a single plant fertilization ratio instruction. S4: Based on the single-plant fertilization ratio instruction, call the control port parameters of the drip irrigation fertilization control terminal equipment, calculate the nitrogen fertilization amount, phosphorus fertilization amount, and potassium fertilization amount, write them into the fertilization equipment control parameter area, and generate a single-plant fertilization execution control parameter group. S5: Based on the control parameter set for single-plant fertilization, obtain the soil profile nutrient detection results and the change data of the length of the apical growth zone of the new shoots in the canopy, calculate the change in the rate of shoot elongation and the change in the nitrogen ratio, organize them by single-plant number, and generate a set of single-plant dwarfing regulation response differences.

2. The method for regulating the growth of fruit trees according to claim 1, characterized in that, The single-plant growth and nutrient matching dataset includes a single-plant ID index, soil nitrogen content records, soil phosphorus content records, soil potassium content records, new shoot length time series, and new shoot elongation rate values; the single-plant vegetative growth status markers include nitrogen ratio status labels, new shoot rate level labels, threshold interval discrimination labels, combination condition classification labels, and single-plant status code identifiers; the single-plant fertilization ratio instruction includes nitrogen ratio adjustment coefficients, phosphorus ratio coordination coefficients, potassium ratio balance coefficients, ratio matching identifiers, and ratio output codes; the single-plant fertilization execution control parameter set includes nitrogen fertilizer application parameters, phosphorus fertilizer application parameters, potassium fertilizer application parameters, device port control parameters, and fertilization timing parameters; the single-plant dwarfing regulation response difference set includes new shoot rate change difference, nitrogen ratio change difference, response amplitude identifier, single-plant response number, and regulation effect evaluation value.

3. The method for regulating the growth of fruit trees according to claim 1, characterized in that: The upper limit threshold and the lower limit threshold of nitrogen ratio are determined according to the statistical distribution range of nitrogen content values ​​within the historical period corresponding to the individual plant number. The statistical distribution range is defined by sorting the nitrogen content values ​​of multiple consecutive time nodes and taking the high-order interval value and the low-order interval value as the boundary.

4. The method for regulating dwarfing cultivation of fruit trees according to claim 1, characterized in that: The upper limit threshold of the new shoot growth rate and the lower limit threshold of the new shoot growth rate are set according to the variation range calculated based on the length record value of the new shoot elongation rate at consecutive time nodes. The variation range is obtained by smoothing the difference sequence of adjacent time nodes.

5. The method for regulating dwarfing cultivation of fruit trees according to claim 1, characterized in that, The specific steps of S1 are as follows: S101: Obtain the nitrogen, phosphorus and potassium content values ​​detected by nutrient sensor probes in the soil profile layer of the fruit tree root distribution area, perform standardization processing on the content values ​​and perform proportional correction according to the corresponding benchmark values, reorganize the detection node values ​​into a three-dimensional vector sequence with a unified structure, and generate a soil nutrient three-dimensional numerical matrix. S102: Monitor the length records of the growing zone at the top of the new shoots at continuous time nodes, calculate the elongation rate corresponding to the length changes at adjacent time nodes and form a rate sequence, perform outlier detection and removal on the rate sequence, retain the stable changes, and generate a new shoot elongation rate sequence. S103: Based on the soil nutrient ternary numerical matrix and the new shoot elongation rate sequence, perform index matching and sequence alignment operations according to the single fruit tree number, structurally splice the nutrient vector sequence and rate sequence and complete field rearrangement to form a unified data structure entry, and generate a single tree growth and nutrient matching dataset.

6. The method for regulating dwarfing cultivation of fruit trees according to claim 1, characterized in that, The specific steps for S3 are as follows: S301: Based on the single plant vegetative growth status marker, call the corresponding single plant nitrogen ratio value and calculate the nitrogen ratio adjustment amount, set the nitrogen ratio adjustment benchmark interval, perform interval determination between the single plant nitrogen ratio value and the corresponding interval boundary and determine the deviation direction, perform adjustment amount calculation on the nitrogen ratio value according to the deviation direction and form a corresponding adjustment sequence, and generate a nitrogen ratio adjustment amount sequence. S302: Based on the nitrogen ratio adjustment sequence, call the corresponding phosphorus ratio value and potassium ratio value, establish the ratio relationship expression structure between the phosphorus ratio value and potassium ratio value, perform consistency judgment on the ratio relationship and form an adjustment coefficient sequence, perform joint mapping processing on the adjustment coefficient sequence and nitrogen ratio adjustment sequence to obtain the corresponding ratio adjustment result, and generate phosphorus-potassium ratio linkage adjustment sequence. S303: Based on the phosphorus-potassium ratio linkage adjustment sequence, call the single-plant fertilization plan amount, perform matching operation on the adjusted ratio value of the single plant and the fertilization plan amount and construct the ratio allocation structure, integrate the fields and rearrange the sequence of the ratio allocation structure according to the single plant number, and generate the single-plant fertilization ratio allocation instruction.

7. The method for regulating dwarfing cultivation of fruit trees according to claim 1, characterized in that, The specific steps of S4 are as follows: S401: Based on the single-tree fertilization ratio instruction, call the control port parameters of the drip irrigation fertilization control terminal equipment in the fruit tree dwarfing cultivation regulation method, perform correspondence matching processing on the control port parameters and the fertilization ratio field, construct a mapping structure between the ratio field and the port parameter configuration items, and integrate the fields of the mapping structure to generate a fertilization port parameter mapping table. S402: According to the fertilization port parameter mapping table, call the nitrogen ratio field, phosphorus ratio field and potassium ratio field, calculate the corresponding fertilizer amount value and form a fertilizer amount sequence, and perform structural combination processing on the fertilizer amount sequence and port parameter configuration items to generate a fertilizer amount parameter structure sequence. S403: Based on the fertilizer application parameter structure sequence, call the control parameter area of ​​the drip irrigation fertilizer control terminal equipment, perform field writing and position matching processing on the parameter structure, write the nitrogen fertilizer application value, phosphorus fertilizer application value and potassium fertilizer application value into the control parameter area, and generate a single-plant fertilizer application execution control parameter group.

8. The method for regulating dwarfing cultivation of fruit trees according to claim 1, characterized in that, The specific steps of S5 are as follows: S501: Based on the single-tree fertilization execution control parameter group, obtain the soil profile nutrient detection results of the fruit tree root distribution area and the length change data of the top growth zone of the new shoots in the canopy. Perform association and organization on the nutrient detection results and length change data according to the single-tree number, and perform difference calculation on the length change of continuous time nodes to generate a sequence of new shoot growth change. S502: Based on the new shoot growth change sequence, call the nitrogen ratio value in the corresponding nutrient detection result, perform the difference calculation on the nitrogen ratio value before and after the time node to form a change sequence, and align the nitrogen ratio change with the new shoot growth change by numbering to establish a corresponding relationship structure and generate a nitrogen growth difference association sequence. S503: Based on the nitrogen growth difference association sequence, perform data grouping and sequence integration processing according to the individual plant number, perform field splicing and structural recombination on the difference sequences corresponding to the number to form a unified difference expression structure, and perform number aggregation processing on the structural data to generate a set of individual plant dwarfing regulation response differences.

9. A dwarfing cultivation and regulation system for fruit trees, characterized in that, The system is used to implement the method for regulating dwarfing cultivation of fruit trees as described in any one of claims 1-8, the system comprising: The root zone monitoring module acquires the nitrogen, phosphorus and potassium content values ​​of the soil profile layer of the fruit tree root distribution area by deploying nutrient sensor probes, monitors the length of the continuous time node of the growth zone at the top of the new shoot, calculates the new shoot elongation rate, and organizes the soil nutrient data and new shoot growth data according to the single fruit tree number to generate a single tree growth and nutrient matching dataset. The ratio determination module calculates the ratio values ​​corresponding to nitrogen, phosphorus, and potassium content values ​​based on the single plant growth and nutrient matching dataset. It compares the nitrogen ratio value with the set upper and lower threshold values ​​of nitrogen ratio, and at the same time compares the new shoot elongation rate value with the set upper and lower threshold values ​​of new shoot growth rate. Data that meet different combinations of conditions are marked and summarized by single plant number to generate a single plant vegetative growth status label. The growth regulation module calls the corresponding nitrogen ratio value of the individual plant according to the vegetative growth status mark of the individual plant and calculates the nitrogen ratio adjustment amount. At the same time, it calculates the corresponding adjustment result according to the ratio relationship between the phosphorus ratio value and the potassium ratio value. The adjusted ratio value is matched with the fertilizer plan amount of the individual plant to generate the fertilizer ratio instruction of the individual plant. Based on the single-plant fertilization ratio instruction, the fertilizer control module calls the control port parameters of the drip irrigation fertilization control terminal equipment, calculates the nitrogen fertilizer amount, phosphorus fertilizer amount, and potassium fertilizer amount, and writes them into the fertilization equipment control parameter area to generate a single-plant fertilization execution control parameter group. The response calculation module obtains the nutrient detection results of the soil profile layer in the root distribution area of ​​the fruit tree and the length change data of the growth zone at the top of the new shoots of the canopy, according to the control parameter group for single-tree fertilization. It calculates the change in the rate of shoot elongation and the change in nitrogen ratio, and organizes them according to the single-tree number to generate a set of single-tree dwarfing regulation response differences.

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