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CN-121998192-A - Land utilization efficiency analysis method and system

CN121998192ACN 121998192 ACN121998192 ACN 121998192ACN-121998192-A

Abstract

The application relates to the technical field of agricultural land planning, in particular to a land utilization efficiency analysis method and system, wherein the method comprises the following steps of acquiring planting time sequence data of a target land, wherein the data at least comprise the types of crops planted in the past, corresponding sowing dates and harvesting dates, calculating a neutral period, namely calculating the length of a field neutral period between two adjacent planting times in the historical planting time sequence according to the sowing dates and the harvesting dates, analyzing, namely comparing each calculated field neutral period length with a preset reasonable neutral period threshold range for specific previous and subsequent crop combination, and generating a land utilization efficiency diagnosis report based on a comparison result, wherein the report at least specifically lists specific crop positions diagnosed as unreasonable. Wherein the system comprises a processor and a memory communicatively coupled to the processor. The application can diagnose the compactness and rationality of time utilization.

Inventors

  • SUN XUETAO
  • LIU YAN

Assignees

  • 山东社会科学院

Dates

Publication Date
20260508
Application Date
20260127

Claims (10)

  1. 1. The land utilization efficiency analysis method is characterized by comprising the following steps: acquiring historical planting time sequence data of a target land block, wherein the data at least comprises the types of crops planted in the past, and corresponding sowing dates and harvesting dates; calculating a neutral period, namely calculating the field neutral period length between two adjacent planting times in the historical planting time sequence according to the sowing date and the harvesting date; And (3) analyzing, namely comparing each calculated field idle period length with a preset reasonable idle period threshold range for specific previous and subsequent crop combination, and generating a land utilization efficiency diagnosis report based on a comparison result, wherein the report at least explicitly lists specific crop positions diagnosed as unreasonable.
  2. 2. The land use efficiency analysis method according to claim 1, wherein an optimizing step is further provided after the analyzing step; optimizing, namely acquiring whether loose compressible neutral positions exist in a diagnosis report, adjusting crop types, planting modes or operation dates, and performing iterative computation to generate at least one recommended planting scheme capable of improving time sequence compactness; and recommending, namely pushing the recommended planting scheme and the land utilization efficiency diagnosis report.
  3. 3. The land use efficiency analysis method according to claim 2, wherein a matching adjustment step is further provided after the optimizing step; Analyzing the historical planting time sequence data or the coincidence degree of the expected output period of the crops in the recommended planting scheme and the corresponding high economic benefit time window, and calculating to obtain a time window matching degree score; and judging that the matching degree score of the time window is larger than a preset matching degree threshold, if the matching degree score of the time window is larger than the preset matching degree threshold, maintaining the original recommended planting scheme, otherwise, modifying the recommended planting scheme, and executing the recommending step.
  4. 4. The land use efficiency analysis method according to claim 1, wherein a fertility disturbing step is further provided after the neutral period calculating step; the fertility disturbance comprises the steps of obtaining soil fertility data of a target land block, wherein the data at least comprise available nutrient contents of nitrogen, phosphorus and potassium in soil before sowing, establishing a nutrient balance model based on unit yield nutrient absorption capacity, straw returning proportion and nutrient release characteristics of different crops, and calculating theoretical change values of soil nutrients after one-season planting by using the following formula : ; Wherein, the In order to obtain the available nutrient content of the soil before sowing, In order to absorb the amount of nutrients taken away by the crops in the season, The amount of nutrients mineralized and released when the crop residues in the season are in the planned idle period; And judging whether the selection of the succeeding crop, the planting density or the length of the stubble idle stage is required to be adjusted according to the positive and negative and the amplitude of delta N.
  5. 5. The land use efficiency analysis method according to claim 3, further comprising an overlap calculation step between said judgment step and said recommendation step, And calculating the overlapping number of days of each crop output period in the recommended planting scheme and the ideal window, correcting the recommended planting scheme according to the overlapping number of days, and then executing the recommending step.
  6. 6. The method of analyzing land use efficiency as in claim 5, further comprising a comprehensive overlap ratio analysis step, wherein the comprehensive overlap ratio analysis comprises: Calculating expected overlapping, namely calculating the total number of days of the expected crop growing period in a standard production period for a target land block based on a preset ideal planting mode or a regional high-yield planting system, and calculating the expected time overlapping rate; Calculating actual overlapping, namely calculating total days of the growth period of the actual crops in the same standard production period based on the historical planting time sequence data, and calculating the actual time overlapping rate; And if the deviation value is negative and exceeds a first tolerance threshold, generating a conclusion of underutilization in the land utilization efficiency diagnosis report, and associating and indicating a key idle stage causing the deviation.
  7. 7. The land use efficiency analysis method according to claim 6, further comprising a step of adjusting and optimizing after said overlap ratio deviation analysis; And (3) adjusting and optimizing, namely generating at least one planting structure optimization scheme aiming at reducing negative deviation and updating the planting structure optimization scheme into a recommended planting scheme based on the land utilization efficiency diagnosis report and the overlapping rate deviation analysis result, wherein each scheme definitely designates an adjusting instruction for the key neutral period and related crops, and the adjusting instruction comprises inserting a crop with a short growing period in the key neutral period after harvesting the previous crop or replacing the previous crop and the following crop with a variety combination capable of enabling the growing season to be more tightly connected.
  8. 8. The method for analyzing land use efficiency according to claim 7, further comprising a simulation verification step after said adjustment optimizing step; Simulation verification, namely simulating and executing the planting time sequence of each generated planting structure optimization scheme, and calculating the corresponding simulation time overlapping rate; Setting an ideal overlapping interval based on the expected time overlapping rate; and marking the scheme with the simulation time overlapping rate closest to the expected time overlapping rate and falling in the ideal overlapping interval as an effective optimization scheme, and updating the effective optimization scheme into the recommended planting scheme.
  9. 9. The land use efficiency analysis method according to claim 8, wherein an interference adjustment step is further provided after the simulation verification step; Interference adjustment, namely acquiring or constructing a crop interaction relation knowledge base, wherein the knowledge base stores negative interference relations among crops which are known to cause the growth cycle of succeeding crops to be prolonged or the yield to be reduced; Matching the crop time sequence in the effective optimization scheme with the knowledge base, and identifying specific crop combinations with negative interference relations; Performing at least one of the following adjustments based on the recognition result: Extending the field idle gear period corresponding to the identified crop rotation, wherein the extended time period is preset according to the type of the negative interference relationship; replacing the successive crop in the identified stubble with a substitute crop variety whose growth cycle is not negatively affected by the preceding crop; And updating the scheme formed after the adjustment is executed into the recommended planting scheme, and marking the scheme as an interference correction optimization scheme.
  10. 10. A land utilization efficiency analysis system is characterized by comprising a processor and a memory which is in communication connection with the processor; A computer readable storage medium is arranged in the memory, and a computer program is stored on the computer readable storage medium; The processor, when processing a computer program stored on the computer readable storage medium, implements the method according to any of claims 1-9.

Description

Land utilization efficiency analysis method and system Technical Field The application relates to the technical field of agricultural land planning, in particular to a land utilization efficiency analysis method and system. Background In the fields of agricultural production and land planning, improving the utilization efficiency of land resources is a core for guaranteeing the grain safety and agricultural sustainable development. The traditional evaluation method is based on macroscopic statistical indexes (such as multiple indexes) or subjective experience, lacks of fine quantitative analysis on land time utilization concentration degree, space configuration rationality and economic suitability of planting structures, and is a technical problem to be solved in urgent need of deep diagnosis and optimization on land utilization efficiency by systematically integrating multi-source data along with development of intelligent agricultural technology. In the prior art, some schemes aiming at agricultural digital management have been presented, for example, chinese patent application CN117132219A discloses a whole-process management system and method for agricultural cultivation in a field, the system collects environment and agricultural machinery information through a field data acquisition module and presets land, agricultural machinery and operation specification information through a basic model input module, an agricultural management module can automatically or manually issue agricultural tasks containing expected time and feed back task execution progress through a visualization unit, an intelligent decision-making module can adjust task parameters such as irrigation quantity according to real-time field information (such as rainfall), and the scheme focuses on automatic issue, execution supervision and real-time fine adjustment based on environment feedback of the given agricultural tasks, so that digital management of cultivation processes is realized. However, the prior art has obvious limitations, firstly, the prior art lacks an evaluation mechanism for the internal efficiency of a planting system, particularly cannot quantitatively analyze the time overlap rate and the neutral period between crop stubbles, cannot diagnose the compactness and the rationality of time utilization, and secondly, the prior art depends on preset fixed operation specifications and real-time environment sensing, and cannot introduce regional industrialization economic guidance as analysis dimension. Disclosure of Invention The application provides a land utilization efficiency analysis method and a land utilization efficiency analysis system, which can at least partially solve the technical problems. In a first aspect, the present application provides a land utilization efficiency analysis method, which adopts the following technical scheme: A land use efficiency analysis method comprising the steps of: acquiring historical planting time sequence data of a target land block, wherein the data at least comprises the types of crops planted in the past, and corresponding sowing dates and harvesting dates; calculating a neutral period, namely calculating the field neutral period length between two adjacent planting times in the historical planting time sequence according to the sowing date and the harvesting date; And (3) analyzing, namely comparing each calculated field idle period length with a preset reasonable idle period threshold range for specific previous and subsequent crop combination, and generating a land utilization efficiency diagnosis report based on a comparison result, wherein the report at least explicitly lists specific crop positions diagnosed as unreasonable. By adopting the technical scheme, the method can automatically identify the specific link (namely unreasonable neutral) with low time utilization efficiency in the planting plan, provide a clear and data-driven decision target for the subsequent targeted optimization and overcome the defect of perception ambiguity of the time wasting link in the prior management. Optionally, an optimization step is further arranged after the analysis step; optimizing, namely acquiring whether loose compressible neutral positions exist in a diagnosis report, adjusting crop types, planting modes or operation dates, and performing iterative computation to generate at least one recommended planting scheme capable of improving time sequence compactness; and recommending, namely pushing the recommended planting scheme and the land utilization efficiency diagnosis report. By adopting the technical scheme, the system identifies loose compressible neutral positions based on the diagnosis report, then adjusts crop types, planting modes or operation dates through an algorithm to carry out iterative calculation, generates a recommended planting scheme capable of improving time sequence compactness, pushes the scheme and the diagnosis report together, realizes an automatic closed l