Green three-dimensional planting system for promoting agricultural economic development in arid region

Abstract

The invention discloses a green three-dimensional planting system for promoting agricultural economic development in an arid region. The green three-dimensional planting system comprises a climate adaptation module; the weather prediction module is responsible for providing weather change prediction; the crop selection and crop rotation module is responsible for selecting suitable drought-enduring crops and implementing scientific crop rotation; the three-dimensional planting structure module is responsible for designing a reasonable three-dimensional planting framework according to the selected drought-enduring crops; the soil improvement module is responsible for adding an organic fertilizer and a modifier and improving the soil moisture retention capability; according to the invention, through weather prediction information provided by the climate adaptation module, the system can predictively adjust an irrigation strategy, and insufficient or excessive irrigation caused by sudden weather change is avoided. The intelligent irrigation module is combined with a neural network algorithm, the irrigation amount and time are accurately calculated and automatically adjusted according to the real-time meteorological data, the drought-enduring crop characteristics, the three-dimensional planting architecture and the soil improvement condition, accurate control over irrigation is achieved, and the utilization efficiency of water resources is remarkably improved.

Description

Technical Field

[0001] The invention relates to the technical field of green stereoscopic planting, and in particular to a green stereoscopic planting system that promotes the development of agricultural economy in arid areas. Background Art

[0002] The southern Xinjiang region is located in the northwest of China and is a typical arid area. The region has a flat terrain, but water resources are relatively scarce and unevenly distributed. At the same time, the southern Xinjiang region has sufficient sunlight and a large temperature difference between day and night. These natural conditions have brought both challenges and opportunities to agricultural production. In the arid areas of southern Xinjiang, the development of the agricultural economy faces multiple challenges such as water shortage, poor soil, and fragile ecological environment. The green three-dimensional planting system is a modern agricultural planting model that integrates high efficiency, water conservation, and environmental protection. It makes full use of light, water, and soil resources through a multi-level and three-dimensional planting layout in space to increase the yield and benefits per unit area.

[0003] The green three-dimensional planting system is difficult to effectively manage and use water resources. The southern Xinjiang region has scarce rainfall, large evaporation, and limited water resources. Traditional irrigation often relies on manual judgment of irrigation time and water usage, lacks real-time monitoring and automated control, resulting in unscientific water management. At the same time, traditional irrigation methods such as flood irrigation and ditch irrigation have a large water flow coverage area, which can easily cause a large amount of water evaporation and leakage, thereby wasting water resources. It is difficult to ensure the sustained and stable development of agricultural production, which may have an impact on the development of the agricultural economy. Therefore, a green three-dimensional planting system is proposed to promote the development of the agricultural economy in arid areas. Summary of the invention

[0004] The purpose of the present invention is to solve the problem that the green three-dimensional planting system in the prior art is difficult to effectively manage and use water resources. The southern Xinjiang region has scarce rainfall, large evaporation, and limited water resources. Traditional irrigation often relies on manual judgment of irrigation time and water usage, lacks real-time monitoring and automatic control, resulting in unscientific water management. At the same time, traditional irrigation methods such as flood irrigation and ditch irrigation have a large water flow coverage area, which can easily cause a large amount of water evaporation and leakage, thereby wasting water resources, that is, it is difficult to ensure the sustainable and stable development of agricultural production, which may affect the development of the agricultural economy. A green three-dimensional planting system is proposed to promote the development of agricultural economy in arid areas.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A green three-dimensional planting system for promoting agricultural economic development in arid areas, comprising:

[0007] Climate adaptation module: responsible for providing weather change predictions;

[0008] Crop selection and rotation module: responsible for selecting suitable drought-resistant crops and implementing scientific crop rotation;

[0009] Three-dimensional planting structure module: responsible for designing a reasonable three-dimensional planting structure based on the selected drought-resistant crops;

[0010] Soil improvement module: responsible for adding organic fertilizers and improvers to improve soil moisture retention capacity;

[0011] Intelligent irrigation module: responsible for automatically adjusting irrigation quantity and time;

[0012] Water-saving technology module: responsible for ensuring that water is directly delivered to the roots of drought-tolerant crops through water-saving technology;

[0013] Water resources monitoring module: responsible for monitoring water resources usage;

[0014] Training and extension module: responsible for providing technical training and knowledge popularization to farmers;

[0015] The climate adaptation module provides accurate weather forecasts (such as drought, rainfall, etc.) by establishing a climate information system, and helps farmers to reasonably arrange planting time, irrigation plans and pest and disease control through data analysis. The climate adaptation module outputs accurate weather forecast information to the crop selection and rotation module and the intelligent irrigation module. The crop selection and rotation module is responsible for selecting drought-resistant crops and performing scientific rotation according to the characteristics and climatic conditions of the arid area in southern Xinjiang. The crop selection and rotation module outputs the selected drought-resistant crop information to the three-dimensional planting structure module, the soil improvement module and the intelligent irrigation module. The three-dimensional planting structure module designs a vertical planting structure based on the drought-resistant crop information, makes full use of the three-dimensional space, realizes multi-level planting, improves the distribution efficiency of light and water through scientific layout, increases crop output per unit area, and reduces losses caused by soil drought. The planting structure module outputs the vertical planting structure information to the soil improvement module and the intelligent irrigation module. The soil improvement module adds organic fertilizers and soil conditioners according to the drought-tolerant crop information and the vertical planting structure information to improve the soil's water retention capacity and organic matter content, improve the soil structure, enhance the soil's air permeability and drainage, and help the growth of crop roots and the effective use of water. The soil improvement module outputs the soil improvement information to the intelligent irrigation module and the water resources monitoring module. The intelligent irrigation module automatically adjusts the irrigation amount and time through the neural network algorithm after combining the weather forecast, drought-tolerant crops, vertical planting structure and soil improvement information. The intelligent irrigation module outputs the adjusted irrigation amount and time to the water-saving technology module. The water-saving technology module uses drip irrigation and micro-sprinkling irrigation to directly transport water to the roots of plants and reduce water evaporation and leakage. An efficient water pipe system is used to ensure maximum water utilization.

[0016] The above technical solution further includes:

[0017] Preferably, the climate adaptation module establishes a climate information system to provide accurate weather forecasts in the following specific steps:

[0018] Data collection: Meteorological data (such as temperature, humidity, rainfall, wind speed) are collected through established weather stations, and large-scale climate data (such as vegetation cover, soil moisture and water evaporation) are obtained using satellite imagery;

[0019] Data processing and analysis: Clean and integrate the collected data, use data analysis tools to identify climate patterns and trends, build climate prediction models based on historical data and meteorological theory, and simulate future climate change;

[0020] Accurate weather forecasting: Apply regression models to improve the accuracy of weather forecasts, especially in the prediction of drought and rainfall events, monitor meteorological data in real time, establish early warning mechanisms, and promptly notify relevant personnel of potential climate risks (such as drought or heavy rain).

[0021] Preferably, the specific steps of the intelligent irrigation module to adjust the irrigation amount and time are:

[0022] Data collection: collects weather forecast information output by the climate adaptation module, drought-tolerant crop information output by the crop selection and rotation module, vertical planting structure information output by the three-dimensional planting structure module, and soil improvement information output by the soil improvement module;

[0023] Data analysis: Using historical data, combined with crop water requirements and growth stages, a water demand model is established to predict the irrigation needs of different crops under different climatic conditions;

[0024] Decision support: Based on real-time data analysis, the system automatically calculates the optimal irrigation time and amount, generates an irrigation plan, and provides a user-friendly interface that allows relevant personnel to view real-time data, system recommendations and irrigation history to facilitate decision-making.

[0025] Preferably, the specific steps of establishing the water demand model are:

[0026] Model construction: Based on the collected data, a soil moisture balance model is established. The soil moisture balance model is expressed as: ΔS = P + IERC, where ΔS represents the change in soil moisture, P represents precipitation, I represents irrigation, E represents evaporation, R represents runoff, and C represents crop water absorption. The model parameters are calibrated through actual measurements and historical data to make it more consistent with the actual situation in southern Xinjiang;

[0027] Model validation: Conduct field tests under different seasons and climate conditions, compare the water demand predicted by the model with the actual water use, and adjust the model parameters;

[0028] Real-time monitoring and adjustment: Soil moisture sensors are placed in the soil of the vertical planting structure to monitor soil moisture changes in real time, combine the monitoring data with the model, and dynamically adjust the irrigation strategy.

[0029] Preferably, the crop selection and rotation module includes a climate data analysis and crop adaptability assessment unit, a drought-tolerant crop screening unit and a rotation pattern design unit. The climate data analysis and crop adaptability assessment unit receives and analyzes climate data (including temperature, humidity, rainfall, and evaporation) provided by the climate adaptation module, and assesses the adaptability of different crops to the climate in southern Xinjiang. The drought-tolerant crop screening unit screens out crop types with strong drought resistance and high water use efficiency based on the results of the climate data analysis and crop adaptability assessment unit. By considering the drought resistance, growth cycle, economic value, and market demand of crops, wheat, corn, cotton, watermelon, melon, etc. are selected. These crops have good adaptability and economic value in southern Xinjiang. The rotation pattern design unit designs reasonable rotation patterns to improve land fertility and water use efficiency, such as wheat-corn-cotton rotation, wheat-watermelon-vegetable rotation, etc. These patterns can make full use of land resources and improve crop yield and quality.

[0030] Preferably, the water-saving technology module includes:

[0031] Precision drip irrigation unit: Drip irrigation pipes are arranged near the roots of drought-tolerant crops, and water is directly delivered to the roots through drippers with adjustable flow rates to reduce water evaporation and leakage. The use of drippers with adjustable flow rates facilitates flexible control of the water demand of each crop and ensures precise water supply;

[0032] Film covering unit: Cover the planting area with black or transparent film to reduce soil moisture evaporation, increase soil temperature, and help drought-tolerant crops absorb water better. At the same time, use under-film drip irrigation to allow water to penetrate directly into the root area under the film to maximize water utilization efficiency.

[0033] Rainwater collection and utilization: Build rainwater collection facilities to collect and store rainfall for irrigation, especially in the dry season, to maximize the use of natural water resources.

[0034] Preferably, the drip irrigation pipeline flow calculation formula is:

[0035] Q=A×v

[0036] Among them, Q represents the flow rate, A represents the cross-sectional area of ​​the dripper, and v represents the water flow velocity.

[0037] Preferably, the soil improvement module includes a soil conditioner application unit, a soil physical property improvement unit, a soil nutrient management unit, a soil biological activity enhancement unit, a soil pH adjustment unit and an ecological restoration and management unit. The soil conditioner application unit is used to enhance the water retention and air permeability of the soil by adding organic fertilizers and soil conditioners. The soil physical property improvement unit is used to improve the aeration of the soil by turning over the soil, tilling the soil and other means to promote root growth and enhance the absorption of water and nutrients. The soil nutrient management unit is used to avoid soil nutrient deficiency. The soil biological activity enhancement unit is used to enhance the biological activity of the soil by introducing beneficial microorganisms to promote plant growth and nutrient conversion. The soil pH adjustment unit is used to adjust the soil pH by using materials such as lime and sulfuric acid to optimize the soil environment to be suitable for crop growth. The ecological restoration and management unit is used to enhance soil coverage and prevent erosion and water loss.

[0038] Preferably, the specific methods of the training and promotion module include:

[0039] Community participation: Encourage community residents to actively participate in the construction and management of the green three-dimensional planting system, provide agricultural skills training for community residents, and improve their agricultural knowledge and skills;

[0040] Education and publicity: Popularize environmental protection knowledge to community residents through lectures and exhibitions.

[0041] The present invention has the following beneficial effects:

[0042] 1. In the present invention, the system can predictively adjust the irrigation strategy through the meteorological forecast information provided by the climate adaptation module, avoiding insufficient or excessive irrigation caused by sudden weather changes. The intelligent irrigation module combines the neural network algorithm to accurately calculate and automatically adjust the irrigation amount and time according to real-time meteorological data, drought-resistant crop characteristics, three-dimensional planting structure and soil improvement conditions, thereby achieving precise control of irrigation and significantly improving the utilization efficiency of water resources.

[0043] 2. In the present invention, the water-saving technology module adopts efficient water-saving irrigation technologies such as drip irrigation and micro-sprinkler irrigation to directly transport water to the roots of plants, greatly reducing the water flow coverage area, reducing the risk of water evaporation and leakage, saving water resources, promoting the healthy development of crop roots, and improving crop drought resistance and yield. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is a system architecture diagram of a green three-dimensional planting system proposed by the present invention to promote the development of agricultural economy in arid areas. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] like Figure 1 As shown, the present invention proposes a green three-dimensional planting system for promoting the development of agricultural economy in arid areas, comprising:

[0047] Climate adaptation module: responsible for providing weather change predictions;

[0048] Crop selection and rotation module: responsible for selecting suitable drought-resistant crops and implementing scientific crop rotation;

[0049] Three-dimensional planting structure module: responsible for designing a reasonable three-dimensional planting structure based on the selected drought-resistant crops;

[0050] Soil improvement module: responsible for adding organic fertilizers and improvers to improve soil moisture retention capacity;

[0051] Intelligent irrigation module: responsible for automatically adjusting irrigation quantity and time;

[0052] Water-saving technology module: responsible for ensuring that water is directly delivered to the roots of drought-tolerant crops through water-saving technology;

[0053] Water resources monitoring module: responsible for monitoring water resources usage;

[0054] Training and extension module: responsible for providing technical training and knowledge popularization to farmers;

[0055] The climate adaptation module provides accurate weather forecasts by establishing a climate information system. The climate adaptation module outputs accurate weather forecast information to the crop selection and rotation module and the intelligent irrigation module. The crop selection and rotation module is responsible for selecting drought-resistant crops and performing scientific rotation according to the characteristics and climate conditions of the arid area in southern Xinjiang. The crop selection and rotation module outputs the selected drought-resistant crop information to the three-dimensional planting structure module, the soil improvement module and the intelligent irrigation module. The three-dimensional planting structure module designs a vertical planting structure based on the drought-resistant crop information to achieve multi-level planting. The three-dimensional planting structure module outputs the vertical planting structure information to the soil improvement module. The soil improvement module and the intelligent irrigation module are configured to add organic fertilizers and soil conditioners according to the information of drought-resistant crops and the vertical planting structure to enhance the air permeability and drainage of the soil. The soil improvement module outputs the soil improvement information to the intelligent irrigation module and the water resource monitoring module. The intelligent irrigation module automatically adjusts the irrigation amount and time through a neural network algorithm after combining the information of weather forecasts, drought-resistant crops, vertical planting structures and soil improvement. The intelligent irrigation module outputs the adjusted irrigation amount and time to the water-saving technology module. The water-saving technology module uses drip irrigation and micro-sprinkler irrigation high-efficiency water-saving irrigation technology to directly transport water to the roots of plants.

[0056] In an embodiment of the present invention, the climate adaptation module provides accurate weather forecasts to provide basic climate background information for the system. The crop selection and rotation module receives the weather forecast information of the climate adaptation module, and then selects drought-resistant crops such as wheat, corn, cotton, watermelon, melon, vegetables, etc. according to the characteristics and climatic conditions of the arid area in southern Xinjiang. These crops have good adaptability and economic value in southern Xinjiang. Then, a reasonable rotation pattern is designed based on the selected drought-resistant crops to improve the fertility and water use efficiency of the land, such as wheat-corn-cotton rotation, wheat-watermelon-vegetable rotation, etc. These patterns can make full use of land resources and improve crop yield and quality. The three-dimensional planting structure module realizes multi-level planting by designing a three-dimensional planting structure, optimizes the use of land and space resources, and increases crop yield per unit area.

[0057] In one embodiment, the climate adaptation module establishes a climate information system to provide accurate weather forecasts in the following specific steps:

[0058] Data collection: Meteorological data is collected through established weather stations and large-scale climate data is obtained using satellite images;

[0059] Data processing and analysis: Clean and integrate the collected data, use data analysis tools to identify climate patterns and trends, build climate prediction models based on historical data and meteorological theory, and simulate future climate change;

[0060] Accurate weather forecasting: Apply regression models to improve the accuracy of weather forecasts, monitor weather data in real time, establish early warning mechanisms, and promptly notify relevant personnel of potential climate risks.

[0061] In the embodiment of the present invention, the threshold formula for setting meteorological parameters in real-time monitoring and establishing an early warning mechanism can be expressed as:

[0062]

[0063] Wherein, X represents real-time data, and T represents a preset threshold.

[0064] The formula for calculating potential climate risk based on the risk assessment model is:

[0065] R=P×I

[0066] Among them, R represents the risk value, P represents the probability of occurrence, and I represents the degree of impact.

[0067] In one embodiment, the specific steps of the intelligent irrigation module to adjust the irrigation amount and time are:

[0068] Data collection: collects weather forecast information output by the climate adaptation module, drought-tolerant crop information output by the crop selection and rotation module, vertical planting structure information output by the three-dimensional planting structure module, and soil improvement information output by the soil improvement module;

[0069] Data analysis: Using historical data, combined with crop water requirements and growth stages, a water demand model is established to predict the irrigation needs of different crops under different climatic conditions;

[0070] Decision support: Based on real-time data analysis, the system automatically calculates the optimal irrigation time and amount and generates an irrigation plan.

[0071] In one embodiment, the specific steps of establishing the water demand model are:

[0072] Model construction: Based on the collected data, a soil moisture balance model is established. The soil moisture balance model is expressed as: ΔS = P + IERC, where ΔS represents the change in soil moisture, P represents precipitation, I represents irrigation, E represents evaporation, R represents runoff, and C represents crop water absorption. The model parameters are calibrated through actual measurements and historical data to make it more consistent with the actual situation in southern Xinjiang;

[0073] Model validation: Field testing in different seasons and climate conditions to adjust model parameters;

[0074] Real-time monitoring and adjustment: Monitor soil moisture changes in real time, combine monitoring data with models, and dynamically adjust irrigation strategies.

[0075] In one embodiment, the crop selection and rotation module includes a climate data analysis and crop adaptability assessment unit, a drought-tolerant crop screening unit and a rotation pattern design unit. The climate data analysis and crop adaptability assessment unit receives and analyzes the climate data provided by the climate adaptation module, and assesses the adaptability of different crops to the climate in southern Xinjiang. The drought-tolerant crop screening unit selects crop types with strong drought resistance and high water use efficiency based on the results of the climate data analysis and crop adaptability assessment unit. The rotation pattern design unit designs a reasonable rotation pattern to improve land fertility and water use efficiency.

[0076] In an embodiment of the present invention, the climate data analysis and crop adaptability assessment unit obtains the historical climate data and real-time climate forecast of the southern Xinjiang region from the climate adaptation module, and uses statistical methods to analyze the regularity and change trend of the climate data. Based on the climate data, the adaptability of different crop types to the climatic conditions in the southern Xinjiang region is evaluated. It involves comprehensive considerations of crop growth cycle, water demand, temperature adaptability, probability of occurrence of pests and diseases, etc. The drought-tolerant crop screening unit selects drought-tolerant crop types suitable for planting in the arid areas of southern Xinjiang based on indicators such as crop drought tolerance, water use efficiency, and yield stability. The rotation pattern design unit designs the combination and sequence of crop rotation based on the crop types provided by the drought-tolerant crop screening unit, by considering the growth cycle, root structure, nutrient absorption characteristics, etc. of different crops. Determine the rotation cycle, that is, the planting years of each crop in the rotation, which not only helps to improve the yield and quality of crops, but also promotes the sustainable use of agricultural resources and the green development of the agricultural economy.

[0077] In one embodiment, the water-saving technology module includes:

[0078] Precision drip irrigation unit: Drip irrigation pipes are arranged near the roots of drought-tolerant crops, and water is directly delivered to the roots through drippers with adjustable flow rates, reducing water evaporation and leakage;

[0079] Film covering unit: Cover the planting area with black or transparent film to reduce soil moisture evaporation and increase soil temperature. At the same time, drip irrigation under the film is used to allow water to penetrate directly into the root area under the film.

[0080] Rainwater collection and utilization: Build rainwater collection facilities to collect and store rainfall for irrigation.

[0081] In one embodiment, the drip irrigation pipeline flow calculation formula is:

[0082] Q=A×v

[0083] Among them, Q represents the flow rate, A represents the cross-sectional area of ​​the dripper, and v represents the water flow velocity.

[0084] In one embodiment, the soil improvement module includes a soil conditioner application unit, a soil physical property improvement unit, a soil nutrient management unit, a soil biological activity enhancement unit, a soil pH adjustment unit, and an ecological restoration and management unit. The soil conditioner application unit is used to enhance the water retention and air permeability of the soil, the soil physical property improvement unit is used to promote root growth and improve the absorption of water and nutrients, the soil nutrient management unit is used to avoid soil nutrient deficiency, the soil biological activity enhancement unit is used to promote plant growth and nutrient conversion, the soil pH adjustment unit is used to adjust the soil pH and optimize the soil environment to be suitable for crop growth, and the ecological restoration and management unit is used to enhance soil coverage and prevent erosion and water loss.

[0085] In the embodiment of the present invention, the calculation formula for the soil water retention capacity in the soil conditioner application unit is:

[0086]

[0087] Where W represents water retention capacity, V water Represents the volume of water in the soil, V soid Represents the total volume of soil.

[0088] The calculation formula of air permeability in the soil physical property improvement unit is:

[0089]

[0090] Where Q represents flow rate, k represents permeability coefficient, A represents cross-sectional area, ΔP represents pressure difference, and L represents flow path length.

[0091] The nutrient balance calculation formula in the soil nutrient management unit is:

[0092] N balance =N input -(N output +N loss )

[0093] Among them, N balance Indicates nutrient balance, N input Indicates the input nutrients, N output Represents the output nutrients, N loss Indicates loss of nutrients.

[0094] In one embodiment, the specific methods of the training and promotion module include:

[0095] Community participation: Encourage community residents to actively participate in the construction and management of the green three-dimensional planting system and provide agricultural skills training for community residents;

[0096] Education and publicity: Popularize environmental protection knowledge to community residents through lectures and exhibitions.

[0097] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A green three-dimensional planting system for promoting the development of agricultural economy in arid areas, characterized in that: include: Climate Adaptation Module; Responsible for providing weather change forecasts; Crop selection and rotation module: responsible for selecting suitable drought-resistant crops and implementing scientific crop rotation; Three-dimensional planting structure module: responsible for designing a reasonable three-dimensional planting structure based on the selected drought-resistant crops; Soil improvement module: responsible for adding organic fertilizers and improvers to improve soil moisture retention capacity; Intelligent irrigation module: responsible for automatically adjusting irrigation quantity and time; Water-saving technology module: responsible for ensuring that water is directly delivered to the roots of drought-tolerant crops through water-saving technology; Water resources monitoring module: responsible for monitoring water resources usage; Training and extension module: responsible for providing technical training and knowledge popularization to farmers; The climate adaptation module provides accurate weather forecasts by establishing a climate information system. The climate adaptation module outputs accurate weather forecast information to the crop selection and rotation module and the intelligent irrigation module. The crop selection and rotation module is responsible for selecting drought-resistant crops and performing scientific rotation according to the characteristics and climate conditions of the arid area in southern Xinjiang. The crop selection and rotation module outputs the selected drought-resistant crop information to the three-dimensional planting structure module, the soil improvement module and the intelligent irrigation module. The three-dimensional planting structure module designs a vertical planting structure based on the drought-resistant crop information to achieve multi-level planting. The three-dimensional planting structure module outputs the vertical planting structure information to the soil improvement module. The soil improvement module and the intelligent irrigation module are configured to add organic fertilizers and soil conditioners according to the information of drought-resistant crops and the vertical planting structure to enhance the air permeability and drainage of the soil. The soil improvement module outputs the soil improvement information to the intelligent irrigation module and the water resource monitoring module. The intelligent irrigation module automatically adjusts the irrigation amount and time through a neural network algorithm after combining the information of weather forecasts, drought-resistant crops, vertical planting structures and soil improvement. The intelligent irrigation module outputs the adjusted irrigation amount and time to the water-saving technology module. The water-saving technology module uses drip irrigation and micro-sprinkler irrigation high-efficiency water-saving irrigation technology to directly transport water to the roots of plants.

2. The green three-dimensional planting system for promoting agricultural economic development in arid areas according to claim 1 is characterized in that: The specific steps of the climate adaptation module to establish a climate information system and provide accurate weather forecasts are: Data collection: Meteorological data is collected through established weather stations and large-scale climate data is obtained using satellite images; Data processing and analysis: Clean and integrate the collected data, use data analysis tools to identify climate patterns and trends, build climate prediction models based on historical data and meteorological theory, and simulate future climate change; Accurate weather forecasting: Apply regression models to improve the accuracy of weather forecasts, monitor weather data in real time, establish early warning mechanisms, and promptly notify relevant personnel of potential climate risks.

3. The green three-dimensional planting system for promoting agricultural economic development in arid areas according to claim 1 is characterized in that: The specific steps of adjusting the irrigation amount and time by the intelligent irrigation module are as follows: Data collection: collects weather forecast information output by the climate adaptation module, drought-tolerant crop information output by the crop selection and rotation module, vertical planting structure information output by the three-dimensional planting structure module, and soil improvement information output by the soil improvement module; Data analysis: Using historical data, combined with crop water requirements and growth stages, a water demand model is established to predict the irrigation needs of different crops under different climatic conditions; Decision support: Based on real-time data analysis, the system automatically calculates the optimal irrigation time and amount and generates an irrigation plan.

4. The green three-dimensional planting system for promoting agricultural economic development in arid areas according to claim 3 is characterized in that: The specific steps of establishing the water demand model are: Model construction: Based on the collected data, a soil moisture balance model is established. The soil moisture balance model is expressed as: ΔS = P + IERC, where ΔS represents the change in soil moisture, P represents precipitation, I represents irrigation, E represents evaporation, R represents runoff, and C represents crop water absorption. The model parameters are calibrated through actual measurements and historical data to make it more consistent with the actual situation in southern Xinjiang; Model validation: Field testing in different seasons and climate conditions to adjust model parameters; Real-time monitoring and adjustment: Monitor soil moisture changes in real time, combine monitoring data with models, and dynamically adjust irrigation strategies.

5. The green three-dimensional planting system for promoting agricultural economic development in arid areas according to claim 1 is characterized in that: The crop selection and rotation module includes a climate data analysis and crop adaptability assessment unit, a drought-resistant crop screening unit and a rotation pattern design unit. The climate data analysis and crop adaptability assessment unit receives and analyzes climate data provided by the climate adaptation module, and assesses the adaptability of different crops to the climate in southern Xinjiang. The drought-resistant crop screening unit selects crop types with strong drought resistance and high water use efficiency based on the results of the climate data analysis and crop adaptability assessment unit. The rotation pattern design unit designs a reasonable rotation pattern to improve land fertility and water use efficiency.

6. The green three-dimensional planting system for promoting agricultural economic development in arid areas according to claim 1 is characterized in that: The water-saving technology module includes: Precision drip irrigation unit: Drip irrigation pipes are arranged near the roots of drought-tolerant crops, and water is directly delivered to the roots through drippers with adjustable flow rates, reducing water evaporation and leakage; Film covering unit: Cover the planting area with black or transparent film to reduce soil moisture evaporation and increase soil temperature. At the same time, drip irrigation under the film is used to allow water to penetrate directly into the root area under the film. Rainwater collection and utilization: Build rainwater collection facilities to collect and store rainfall for irrigation.

7. The green three-dimensional planting system for promoting agricultural economic development in arid areas according to claim 6 is characterized in that: The flow calculation formula of the drip irrigation pipeline is: Q=A×v Among them, Q represents the flow rate, A represents the cross-sectional area of ​​the dripper, and v represents the water flow velocity.

8. The green three-dimensional planting system for promoting agricultural economic development in arid areas according to claim 1 is characterized in that: The soil improvement module includes a soil conditioner application unit, a soil physical property improvement unit, a soil nutrient management unit, a soil biological activity enhancement unit, a soil pH adjustment unit and an ecological restoration and management unit. The soil conditioner application unit is used to enhance the water retention and air permeability of the soil, the soil physical property improvement unit is used to promote root growth and enhance the absorption of water and nutrients, the soil nutrient management unit is used to avoid soil nutrient deficiency, the soil biological activity enhancement unit is used to promote plant growth and nutrient conversion, the soil pH adjustment unit is used to adjust the soil pH and optimize the soil environment to be suitable for crop growth, and the ecological restoration and management unit is used to enhance soil coverage and prevent erosion and water loss.

9. The green three-dimensional planting system for promoting agricultural economic development in arid areas according to claim 1 is characterized in that: The specific methods of the training and promotion module include: Community participation: Encourage community residents to actively participate in the construction and management of the green three-dimensional planting system and provide agricultural skills training for community residents; Education and publicity: Popularize environmental protection knowledge to community residents through lectures and exhibitions.

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