Automatic water-saving irrigation control system and method for agricultural planting cabin

By obtaining information on crop types and growth stages in agricultural planting cabins, using water demand comparison tables and high-definition image recognition technology, the irrigation water volume is automatically adjusted, which solves the problem of inaccurate traditional irrigation methods and achieves accurate water conservation and crop yield improvement.

CN119325889BActive Publication Date: 2025-07-18LIANHE INTELLIGENT EQUIP (JINHUA) CO LTD
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Patent Information

Application Number
CN202411192664.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-08-28
Publication Date
2025-07-18
Estimated Expiration
2044-08-28

AI Technical Summary

Technical Problem

The irrigation method of traditional greenhouses relies on manual operation and empirical judgment, resulting in insufficient precision and efficiency in irrigation and insufficient water-saving performance.

Method used

By obtaining information on crop types and growth stages in agricultural planting cabins, an irrigation plan is formulated using the water demand comparison table, and the irrigation water volume of irrigation equipment is automatically adjusted in combination with high-definition image recognition technology to adapt to changes in crop types and growth stages.

Benefits of technology

Accurate water-saving irrigation has been achieved, crop yield and quality have been improved, and the irrigation plan can be automatically adjusted according to crop changes, further improving the water-saving effect.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention belongs to the technical field of smart agriculture. An automatic water-saving irrigation control system and method for an agricultural planting cabin are provided. The method includes: obtaining first crop planting information in the agricultural planting cabin, comparing the crop type and the first growth stage with a first water demand comparison table to obtain a number of water demand data, and formulating a first irrigation plan based on each water demand data; obtaining second crop planting information in the agricultural planting cabin, if it is determined that the crop type in the agricultural planting cabin has changed according to the second crop type, then formulating a second irrigation plan based on the second crop type and the first irrigation plan; controlling irrigation equipment based on the first irrigation plan or the second irrigation plan to perform water-saving irrigation on the crops in the agricultural planting cabin. The present invention determines the irrigation water volume based on the pre-established water demand corresponding to the specific growth stage of the specific crop, thereby realizing water-saving irrigation.
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Description

Technical Field

[0001] The present invention relates to the technical field of smart agriculture, and more particularly, to an automatic water-saving irrigation control system and method for an agricultural planting cabin. Background Art

[0002] The irrigation methods of traditional planting greenhouses rely more on manual operation and empirical judgment. Although some planting greenhouses use automated irrigation equipment, their irrigation methods are still based on fixed elements, such as automatically turning on irrigation at preset time nodes or automatically turning on irrigation when the soil humidity is detected to be lower than a threshold. The above traditional irrigation methods are not precise and efficient enough, resulting in generally insufficient irrigation water-saving performance. Summary of the Invention

[0003] To this end, the present invention provides an automatic water-saving irrigation control method, system, electronic device, computer storage medium, and computer program product for an agricultural planting cabin to solve at least one of the above technical problems.

[0004] The present invention provides an automatic water-saving irrigation control method for an agricultural planting cabin, and the method includes the following steps:

[0005] Obtain the first crop planting information in the agricultural planting cabin, where the first crop planting information includes the first crop type and the first growth stage, compare the first crop type and the first growth stage with the first water requirement comparison table to obtain a number of water requirement data, and formulate a first irrigation plan based on each of the water requirement data;

[0006] Obtain the second crop planting information in the agricultural planting cabin, where the second crop planting information includes the second crop type. If it is determined that the crop type in the agricultural planting cabin has changed according to the second crop type, then formulate a second irrigation plan based on the second crop type and the first irrigation plan;

[0007] Control the irrigation equipment based on the first irrigation plan or the second irrigation plan to perform water-saving irrigation on the crops in the agricultural planting cabin;

[0008] Wherein, both the first irrigation plan and the second irrigation plan include a number of irrigation water volumes corresponding to different growth stages of the crops.

[0009] Optionally, obtaining the first crop planting information or the second crop planting information in the agricultural planting cabin includes:

[0010] Receive the first crop planting information or the second crop planting information input by the management personnel through the interaction device; or, use an IoT camera to capture high-definition images inside the agricultural planting cabin, and perform image recognition on the high-definition images to obtain the first crop planting information or the second crop planting information.

[0011] Optionally, performing image recognition on the high-definition images to obtain the first crop planting information or the second crop planting information includes:

[0012] Segment the single crop plant image from the high-definition images, and obtain the first plant characteristics of the crop plant from the segmented single crop plant image;

[0013] Calculate the similarity between the first plant characteristics and several sorted crop templates in the database. Each of the crop templates is respectively associated with the first template plant characteristics, and determine the first crop type or the second crop type based on the crop template with the maximum similarity;

[0014] And, perform weighted fusion on the first plant characteristics of several single crop plant images to obtain second plant characteristics, perform matching calculation on the second plant characteristics and each second template plant characteristics associated and configured with the crop template with the maximum similarity stored in the database, and determine the growth stage corresponding to the second template plant characteristics obtained by matching as the first growth stage;

[0015] Wherein, both the first plant characteristics and the second plant characteristics include at least one of color characteristics, leaf characteristics, flower characteristics, ear characteristics, and size characteristics.

[0016] Optionally, several of the crop templates are sorted in the following manner:

[0017] Determine the third crop types currently planted in each agricultural planting cabin within the associated area, and sort each of the third crop types from largest to smallest according to the quantity of each of the third crop types; wherein, each of the third crop types corresponds to one of the crop templates;

[0018] Based on this sorting, determine the order of calculating the similarity between the first plant characteristics and each of the crop templates in the database, and randomly sort the crop templates in the database other than the crop templates corresponding to each of the third crop types and place them after this order.

[0019] Optionally, performing weighted fusion on the first plant characteristics of several single crop plant images to obtain second plant characteristics includes:

[0020] Determine the extraction positions of each single crop plant image within the planting area, calculate the distances between each of the extraction positions and the center point of the planting area, and determine the weighting weights of each of the first plant characteristics based on the distances;

[0021] Perform weighted fusion on each of the first plant characteristics according to the weighting weights to obtain the second plant characteristics.

[0022] Optionally, if it is determined that the crop types in the agricultural planting cabin have changed based on the second crop type, then formulate a second irrigation plan based on the second crop type and the first irrigation plan, including:

[0023] If it is determined that the crop types in the agricultural planting cabin have changed based on the second crop type, then determine the fourth crop type of the newly added crop according to the second crop type, and determine whether the fourth crop type belongs to a specific type, where the specific type refers to crops that can obtain moisture from the air;

[0024] If it is determined that the fourth crop type belongs to the specific type, then determine the second growth stage of the fourth crop type, compare the fourth crop type and the second growth stage with the second water requirement comparison table, obtain the air water absorption data corresponding to the fourth crop type, formulate a water replenishment coefficient according to the air water absorption data, and use the water replenishment coefficient to correct the corresponding water requirement data in the first irrigation plan to obtain the second irrigation plan.

[0025] The present invention also provides an automatic water-saving irrigation control system for an agricultural planting cabin. The system includes an acquisition module, a water-saving treatment module, and an irrigation control module. The water-saving treatment module is electrically connected to the acquisition module and the irrigation control module respectively;

[0026] The acquisition module is used to acquire the first crop planting information and the second crop planting information in the agricultural planting cabin. The first crop planting information includes the first crop type and the first growth stage, and the second crop planting information includes the second crop type;

[0027] The water-saving treatment module is used to compare the first crop type and the first growth stage with the first water requirement comparison table to obtain a number of water requirement data, and formulate a first irrigation plan according to each of the water requirement data; it is also used to, if it is determined that the crop types in the agricultural planting cabin have changed based on the second crop type, then formulate a second irrigation plan according to the second crop type and the first irrigation plan; where the first irrigation plan and the second irrigation plan include a number of irrigation water volumes corresponding to different growth stages of the crops;

[0028] The irrigation control module is used to control irrigation equipment based on the first irrigation plan or the second irrigation plan to perform water-saving irrigation on crops in the agricultural planting cabin.

[0029] The present invention also provides a computer storage medium storing a computer program executable by a processor to implement the method as described in any one of the preceding items.

[0030] The present invention also provides a computer program product including a computer program executable by a processor to implement the method as described in any one of the preceding items.

[0031] The beneficial effects of the present invention are as follows: The present invention determines the irrigation water volume based on the water demand corresponding to the specific growth stage of the specific crop formulated in advance, thereby achieving water-saving irrigation. Moreover, since the adopted irrigation water volume is more adapted to the growth stage of the crop, it is also beneficial to improve the yield and quality of the crop. Furthermore, the present invention formulates the water-saving irrigation method in the agricultural planting cabin in the above two stages, which can automatically adaptively adjust the water-saving irrigation plan according to the changes of the crops in the agricultural planting warehouse, thereby further improving the water-saving effect. Brief Description of the Drawings

[0032] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0033] Figure 1 is a schematic flow chart of an automatic water-saving irrigation control method for an agricultural planting cabin disclosed in an embodiment of the present invention;

[0034] Figure 2 is a schematic structural diagram of an automatic water-saving irrigation control system for an agricultural planting cabin disclosed in an embodiment of the present invention. Detailed Embodiments

[0035] The following specific embodiments illustrate the implementation manners of the present application. Those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of them. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0036] Existing automated irrigation methods are still based on fixed elements, such as automatically starting irrigation at a preset time node, and automatically starting irrigation when the humidity of the land is detected to be below a threshold. These traditional irrigation methods are not accurate and efficient enough, resulting in generally insufficient irrigation water-saving performance.

[0037] In response to the above technical issues, such as Figure 1 As shown, an embodiment of the present invention discloses an automatic water-saving irrigation control method for an agricultural planting cabin, the method comprising the following steps:

[0038] Acquire first crop planting information in the agricultural planting cabin, wherein the first crop planting information includes a first crop type and a first growth stage, compare the first crop type and the first growth stage with a first water demand comparison table to obtain a plurality of water demand data, and formulate a first irrigation plan according to each of the water demand data;

[0039] Acquire second crop planting information in the agricultural planting cabin, wherein the second crop planting information includes a second crop type, and if it is determined according to the second crop type that the crop type in the agricultural planting cabin has changed, formulate a second irrigation plan according to the second crop type and the first irrigation plan;

[0040] Controlling irrigation equipment based on the first irrigation scheme or the second irrigation scheme to perform water-saving irrigation on crops in the agricultural planting cabin;

[0041] The first irrigation scheme and the second irrigation scheme both include a number of irrigation water volumes corresponding to different growth stages of the crop.

[0042] In order to achieve water-saving irrigation, the present invention has formulated the water requirements of various crop types at different growth stages based on the results of scientific research and field tests, and constructed a water requirement comparison table. Taking tomatoes, cucumbers, and strawberries as examples, see Tables 1-3 below ("T" in the table is the unit requirement):

[0043] Table 1

[0044] Germination stage Seedling stage Flowering and fruit-setting stage Fruiting stage Maturity stage Tomato 0.5T 1T 2T 3T 1T

[0045] Table 2

[0046] Germination stage Seedling stage Vining stage Flowering and fruiting stage Maturity stage Cucumber 0.5T 1T 2.2T 3T 1.5T

[0047] Table 3

[0048]

[0049] In the solution of the present invention, first, the first crop planting information in the agricultural planting cabin is obtained to determine the crop type and the current growth stage. By comparing the obtained crop type and the current growth stage with the water requirement comparison table such as the above-mentioned one, several water requirement data corresponding to the subsequent growth stage can be obtained. Furthermore, the irrigation water volume for each subsequent growth stage (water requirement + a certain water volume adjustment value, that is, appropriately increasing some irrigation water volume) can be formulated, namely the first irrigation plan. At the same time, during the execution of the first irrigation plan, the second crop planting information in the agricultural planting cabin is continuously obtained. Based on this, it is analyzed whether the crop type in the agricultural planting cabin has changed. If it is confirmed that there is a change (for example, a new crop is added), then the second irrigation plan is formulated according to the new crop type and the aforementioned first irrigation plan. Thus, the present invention determines the irrigation water volume based on the water requirement corresponding to the specific growth stage of the specific crop in advance, thereby realizing water-saving irrigation. Moreover, since the adopted irrigation water volume is more suitable for the growth stage of the crop, it is also beneficial to improve the yield and quality of the crop. Furthermore, the present invention formulates the above two-stage water-saving irrigation method in the agricultural planting cabin, which can automatically adjust the water-saving irrigation plan according to the changes in the crops in the agricultural planting warehouse, thereby further improving the water-saving effect.

[0050] Among them, after determining the water requirement data of the crop in the corresponding growth stage, the area size of the planting area, the crop planting density, and the redundant water volume are considered, that is, the irrigation water volume is obtained.

[0051] Optionally, obtaining the first crop planting information or the second crop planting information in the agricultural planting cabin includes:

[0052] Receiving the first crop planting information or the second crop planting information input by the management personnel through the interaction device; or, using an IoT camera to take high-definition images in the agricultural planting cabin and performing image recognition on the high-definition images to extract the first crop planting information or the second crop planting information.

[0053] In this embodiment, the agricultural planting cabin is equipped with an interaction device and an IoT camera. The management personnel can input the crop type and the current growth stage of the crops planted in the agricultural planting cabin to the system through the interaction device. The IoT camera can also periodically take high-definition images of the crops in the agricultural planting cabin and use image recognition technology to extract the crop type and the current growth stage of the planted crops.

[0054] Optionally, performing image recognition on the high-definition images to extract the first crop planting information or the second crop planting information includes:

[0055] Segment the high-definition image into single crop plant images, and extract the first plant feature of the crop plant from the segmented single crop plant images;

[0056] Calculate the similarity between the first plant feature and a number of sorted crop templates in the database. Each of the crop templates is respectively associated with a first template plant feature, and determine the first crop type or the second crop type based on the crop template with the maximum similarity;

[0057] Moreover, perform weighted fusion on the first plant features of a number of single crop plant images to obtain a second plant feature. Perform matching calculation on the second plant feature and each second template plant feature stored in the database and associated with the crop template with the maximum similarity, and determine the growth stage corresponding to the second template plant feature obtained by matching as the first growth stage;

[0058] Wherein, both the first plant feature and the second plant feature include at least one of color feature, leaf feature, flower feature, ear feature, and size feature.

[0059] In this embodiment, first, extract the image of a single crop plant from the high-definition image, extract the first plant feature of the single crop plant from it, calculate the similarity based on the first plant feature and the first template plant features of each crop template in the database, and select the crop template with the maximum similarity. Then, the crop type corresponding to the selected crop template is the first crop type or the second crop type.

[0060] Since the plant features of the same kind of crop plants will have large differences due to growth factors, etc. For example, the plants with good growth are significantly better than other plants with poor growth in terms of size, color, etc. Therefore, the present invention analyzes the growth stage of the crop based on the plant features of multiple crop plants; at the same time, different growing crops are highly similar in some basic traits. For example, the same kind of crop with different growth trends has the same number of leaves, leaf structure, flowering shape, etc. Therefore, the present invention analyzes the crop type of the crop based on the plant features of a single crop plant in the foregoing manner. Specifically, perform weighted fusion on the first plant features of several single crop plant images to obtain a second plant feature. Perform matching calculation on the second plant feature and each second template plant feature (corresponding to different growth stages of this type of crop) stored in the database and associated with the crop template with the maximum similarity, and determine the growth stage corresponding to the second template plant feature obtained by matching as the first growth stage or the second growth stage. Obviously, a crop template is simultaneously configured with a first template plant feature (related to the crop type) and a second template plant feature (related to the crop growth stage).

[0061] Both the first plant feature and the second plant feature include at least one of a color feature, a leaf feature, a flower feature, an ear feature, and a size feature. Among them, the color feature mainly refers to the leaf color of the crop, the leaf feature mainly refers to the number of leaves at a single node, the shape and texture of the leaves, etc., the flower feature mainly refers to the shape and color of the flower, etc., the ear feature refers to the shape and color of the fruit ear, etc., and the size feature refers to the height of the plant, the size of the plant canopy, etc.

[0062] Optionally, several of the crop templates are sorted in the following manner:

[0063] Determine the types of the third crops currently planted in each agricultural planting cabin within the associated area, and sort the types of the third crops from largest to smallest according to the quantity of each of the third crop types; among them, each of the third crop types corresponds to one of the crop templates;

[0064] Based on this sorting, determine the order for calculating the similarity between the first plant feature and each of the crop templates in the database, and randomly sort the crop templates in the database other than the crop templates corresponding to each of the third crop types and place them after this order.

[0065] In this embodiment, the database stores crop templates of multiple crops (each crop template is associated with and configured with a first template plant feature and a second template plant feature). If all are randomly matched and calculated one by one, it will consume a large amount of computing power and calculation time. For this reason, the present invention determines all the known types of the third crops currently planted in each agricultural planting cabin within the associated area. The associated area can be an area belonging to the same grower, that is, multiple agricultural planting cabins within the associated area belong to one grower. In this way, the crops planted in the current agricultural planting cabin are highly likely to belong to one of the types of the third crops. Therefore, the present invention first sorts each of the third crop types from largest to smallest according to the quantity (that is, the number of agricultural planting cabins growing the third crop type), that is, first calculates the similarity between the first plant feature and the third crop type with the largest quantity. At the same time, the current types of the third crops cannot completely cover all the crop templates stored in the database, so the crop templates in the database other than the crop templates corresponding to each of the third crop types are randomly sorted and then continued after the order determined above.

[0066] Thus, the present invention determines the order for calculating the similarity of each crop template in the database through the planting rules of the crops within the associated area, so as to effectively reduce the computing power and calculation time.

[0067] Optionally, weighted fusion is performed on the first plant feature of several single-crop plant images to obtain a second plant feature, including:

[0068] Determine the extraction positions of each single-crop plant image within the planting area, calculate the distances between each extraction position and the center point of the planting area, and determine the weighted weights of each first plant feature according to the distances;

[0069] Perform weighted fusion on each first plant feature according to the weighted weights to obtain the second plant feature.

[0070] In this embodiment, to ensure the universality of plant features, single-crop plant images need to be selected at different positions within the planting area of the agricultural planting cabin, and then multiple first plant features are extracted. Generally speaking, the growth of crops in the central area of the planting area is better, while the growth of crops in the area far from the center of the planting area is more likely to be affected by other factors. For example, other crops near the planting area will compete for water, nutrients, light, etc., and even some crops will inhibit the growth of other types of crops. Therefore, the present invention sets the weighted weights of each first plant feature to be negatively correlated with the distance between its extraction position and the center point of the planting area. That is, the larger the distance, the greater the probability that the crop plant has poor growth, and the less it can represent the general growth trend within the planting area. Correspondingly, its weighted weight is set to be smaller, and vice versa, its weighted weight is set to be larger.

[0071] Optionally, if it is determined that the crop types in the agricultural planting cabin have changed according to the second crop type, then a second irrigation plan is formulated based on the second crop type and the first irrigation plan, including:

[0072] If it is determined that the crop types in the agricultural planting cabin have changed according to the second crop type, then determine the fourth crop type of the newly added crops according to the second crop type, and determine whether the fourth crop type belongs to a specific type, where the specific type refers to crops that can obtain water from the air;

[0073] If it is determined that the fourth crop type belongs to the specific type, then determine the second growth stage of the fourth crop type, compare the fourth crop type and the second growth stage with the second water demand comparison table to obtain the air water absorption data corresponding to the fourth crop type, formulate a water replenishment coefficient according to the air water absorption data, and use the water replenishment coefficient to correct the corresponding water demand data in the first irrigation plan to obtain the second irrigation plan.

[0074] In this embodiment, there is a mixed cropping situation in the agricultural planting cabin, and this mixed cropping situation may start at the intermediate stage of the growth of a certain crop, that is, when analyzing the second crop type periodically as described above, it is found that the crop types in the agricultural planting cabin have changed. Therefore, when a new crop type is added to the agricultural planting cabin, it is necessary to determine whether the newly added crop belongs to a specific type, that is, a crop that can obtain water from the air. Such crops can be epiphytes such as Tillandsia, succulents such as Sedum and Echeveria, ferns, certain cacti, etc. They can directly absorb water from the humid air in a high-humidity environment and do not completely rely on the water in the soil. Obviously, these newly added crops will significantly reduce the water in the air in the agricultural planting cabin. Since the temperature in the agricultural planting cabin is generally high, the water in the soil will evaporate excessively and decrease. When the number of the above-mentioned crops is large, it will have a greater adverse impact on the crops that only rely on absorbing water from the soil.

[0075] To solve the above problems, the present invention determines the second growth stage of the fourth crop type in the same manner as described above, and similarly compares it with the second water demand comparison table according to the fourth crop type and the second growth stage (the second water demand comparison table is also formulated in advance based on the results of scientific research and field tests) to obtain the air water absorption data corresponding to the fourth crop type (that is, the amount of water absorbed from the air). A water replenishment coefficient is formulated according to the air water absorption data, and the water demand data corresponding to the first irrigation plan (that is, corresponding to the current actual growth stage of the crop) is corrected using the water replenishment coefficient, that is, the originally formulated irrigation water volume is appropriately increased to ensure that the crop can obtain sufficient water from the soil. Among them, the water replenishment coefficient and the air water absorption data are in a positive correlation.

[0076] It should be noted that the first irrigation plan in this embodiment can be the aforementioned first irrigation plan, or the closest irrigation plan when it is found that the crop types in the agricultural planting cabin have changed, that is, the latest irrigation plan determined through periodic updates.

[0077] As Figure 2 shown, the present invention also discloses an automatic water-saving irrigation control system for an agricultural planting cabin. The system includes an acquisition module, a water-saving processing module, and an irrigation control module. The water-saving processing module is electrically connected to the acquisition module and the irrigation control module respectively;

[0078] The acquisition module is used to acquire the first crop planting information and the second crop planting information in the agricultural planting cabin. The first crop planting information includes the first crop type and the first growth stage, and the second crop planting information includes the second crop type;

[0079] The water-saving treatment module is used to compare the first crop type and the first growth stage with a first water requirement comparison table to obtain a number of water requirement data, and formulate a first irrigation plan based on each of the water requirement data; it is also used to, if it is determined according to the second crop type that the crop type in the agricultural planting cabin has changed, formulate a second irrigation plan based on the second crop type and the first irrigation plan; wherein, the first irrigation plan and the second irrigation plan include a number of irrigation water volumes corresponding to different growth stages of the crops.

[0080] The irrigation control module is used to control the irrigation equipment based on the first irrigation plan or the second irrigation plan to perform water-saving irrigation on the crops in the agricultural planting cabin. The present invention also discloses an electronic device, which includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor. When the computer program is executed by the processor, the method described in any one of the preceding items is implemented.

[0081] The present invention also discloses a computer storage medium, which stores a computer program that can be executed by a processor to implement the method described in any one of the preceding items.

[0082] The present invention also discloses a computer program product, which includes a computer program that can be executed by a processor to implement the method described in any one of the preceding items.

[0083] The above computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, and optical data storage device, etc.

[0084] It should be noted that the information, data (including but not limited to data for analysis, stored data, displayed data, etc.) and signals involved in this application are all authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with the relevant laws, regulations, and standards of relevant countries and regions.

[0085] It should be understood that the term "plurality" mentioned in this article refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally represents an "or" relationship between the associated objects before and after.

[0086] The serial numbers of the embodiments of the present application above are only for description and do not represent the superiority or inferiority of the embodiments.

[0087] The above are only exemplary embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the principles of the present application shall be included within the protection scope of the present application.

Claims

1. An automatic water-saving irrigation control method for an agricultural planting cabin, characterized in that, The method includes the following steps: Obtain the first crop planting information in the agricultural planting cabin. The first crop planting information includes the first crop type and the first growth stage. Compare the first crop type and the first growth stage with the first water requirement comparison table to obtain a number of water requirement data, and formulate a first irrigation plan based on each of the water requirement data; Obtain the second crop planting information in the agricultural planting cabin. The second crop planting information includes the second crop type. If it is determined according to the second crop type that the crop types in the agricultural planting cabin have changed, then formulate a second irrigation plan based on the second crop type and the first irrigation plan, including: If it is determined according to the second crop type that the crop types in the agricultural planting cabin have changed, then determine the crop type of the newly added crop according to the second crop type, and determine whether the crop type of the newly added crop belongs to a specific type. The specific type refers to crops that can obtain moisture from the air; If it is determined that the crop type of the newly added crop belongs to the specific type, then determine the second growth stage of the crop type of the newly added crop. Compare the crop type of the newly added crop and the second growth stage with the second water requirement comparison table to obtain air water absorption data corresponding to the crop type of the newly added crop. Formulate a water replenishment coefficient based on the air water absorption data, and use the water replenishment coefficient to correct the corresponding water requirement data in the first irrigation plan to obtain the second irrigation plan; Control the irrigation equipment based on the first irrigation plan or the second irrigation plan to perform water-saving irrigation on the crops in the agricultural planting cabin; Among them, both the first irrigation plan and the second irrigation plan include a number of irrigation water volumes corresponding to different growth stages of the crops.

2. The automatic water-saving irrigation control method for an agricultural planting cabin according to claim 1, characterized in that: Obtaining the first crop planting information or the second crop planting information in the agricultural planting cabin includes: Receiving the first crop planting information or the second crop planting information input by the management personnel through the interaction device; or, using an IoT camera to take high-definition images in the agricultural planting cabin, and performing image recognition on the high-definition images to extract the first crop planting information or the second crop planting information.

3. The automatic water-saving irrigation control method for an agricultural planting cabin according to claim 2, characterized in that: Performing image recognition on the high-definition images to extract the first crop planting information or the second crop planting information includes: Segmenting the high-definition images into single-crop plant images, and extracting the first plant characteristics of the crop plant from the segmented single-crop plant images; Calculating the similarity between the first plant characteristics and a number of crop templates sorted in the database. Each of the crop templates is respectively associated with the first template plant characteristics, and determining the first crop type or the second crop type based on the crop template with the maximum similarity; Further, the first plant features of a plurality of single-crop plant images are weighted and fused to obtain second plant features. The second plant features are matched and calculated with each of the second template plant features associated and configured with the crop template having the maximum similarity stored in the database, and the growth stage corresponding to the second template plant feature obtained by the matching is determined as the first growth stage; Wherein, both the first plant features and the second plant features include at least one of color features, leaf features, flower features, ear features, and size features.

4. The automatic water-saving irrigation control method for an agricultural planting cabin according to claim 3, wherein: The plurality of crop templates are sorted in the following manner: Determine the types of the third crops currently planted in each agricultural planting cabin within the associated area, and sort the types of the third crops from largest to smallest according to the quantity of each of the third crop types; wherein, each of the third crop types corresponds to one of the crop templates; Based on this sorting, determine the order for calculating the similarity between the first plant features and each of the crop templates in the database, and randomly sort the crop templates in the database other than the crop templates corresponding to each of the third crop types and place them after this order.

5. The automatic water-saving irrigation control method for an agricultural planting cabin according to claim 3, wherein: Weighting and fusing the first plant features of a plurality of single-crop plant images to obtain second plant features includes: Determine the extraction positions of each of the single-crop plant images within the planting area, calculate the distances between each of the extraction positions and the center point of the planting area, and determine the weighting weights of each of the first plant features according to the distances; Weight and fuse each of the first plant features according to the weighting weights to obtain the second plant features.

6. An automatic water-saving irrigation control system for an agricultural planting cabin, characterized in that: The system includes an acquisition module, a water-saving treatment module, and an irrigation control module. The water-saving treatment module is electrically connected to the acquisition module and the irrigation control module respectively; The acquisition module is configured to acquire first crop planting information and second crop planting information in the agricultural planting cabin. The first crop planting information includes the type of the first crop and the first growth stage, and the second crop planting information includes the type of the second crop; The water-saving treatment module is configured to compare the type of the first crop and the first growth stage with a first water requirement comparison table to obtain a plurality of water requirement data, and formulate a first irrigation plan according to each of the water requirement data; and is further configured to, if it is determined according to the type of the second crop that the types of crops in the agricultural planting cabin have changed, formulate a second irrigation plan according to the type of the second crop and the first irrigation plan, including: If it is determined according to the type of the second crop that the types of crops in the agricultural planting cabin have changed, determine the type of the newly added crop according to the type of the second crop, and determine whether the type of the newly added crop belongs to a specific type, where the specific type refers to a crop that can obtain moisture from the air; If it is determined that the crop type of the newly added crop belongs to a specific type, determine the second growth stage of the crop type of the newly added crop, compare according to the crop type of the newly added crop and the second water requirement comparison table corresponding to the second growth stage, obtain the air water absorption data corresponding to the crop type of the newly added crop, formulate a water replenishment coefficient according to the air water absorption data, and use the water replenishment coefficient to correct the corresponding water requirement data in the first irrigation plan to obtain the second irrigation plan; Wherein, both the first irrigation plan and the second irrigation plan include a number of irrigation water volumes corresponding to different growth stages of the crop; The irrigation control module is used to control the irrigation equipment based on the first irrigation plan or the second irrigation plan to perform water-saving irrigation on the crops in the agricultural planting cabin.

7. An electronic device, characterized in that: The electronic device includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, and when the computer program is executed by the processor, it implements the method according to any one of claims 1-5.

8. A computer storage medium, characterized in that: The computer storage medium stores a computer program that can be executed by a processor to implement the method according to any one of claims 1-5.

9. A computer program product, characterized in that: The computer program product contains a computer program that can be executed by a processor to implement the method according to any one of claims 1-5.

Citation Information

Patent Citations

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