A monitoring and early warning system and method for the planting status of jujube trees

Abstract

The present invention relates to the technical field of jujube tree planting monitoring, and discloses a jujube tree planting status monitoring and early warning system and method. The system comprises: a detection end and an evaluation end, wherein the detection end is provided with a plurality of detection units, and the detection end is used to obtain the plant water potential inside the jujube tree in a preset planting area, the canopy chlorophyll content of the jujube tree, and the growth height of the jujube tree; the evaluation end is electrically connected to the detection end, and the evaluation end is used to evaluate the health value of the jujube tree according to the plant water potential inside the jujube tree, the canopy chlorophyll content of the jujube tree, and the growth height of the jujube tree, and send corresponding early warning information according to the health value. The present invention realizes intelligent management of the growth status of the jujube tree by integrating monitoring, evaluation and early warning functions. Not only the scientificity and accuracy of jujube tree planting are improved, but also the planting efficiency and fruit quality are significantly improved. Thus, the growers can better grasp the growth dynamics of the jujube tree, take scientific management measures in time, and ensure the health and efficient production of the jujube tree.

Description

Technical Field

[0001] The present invention relates to the technical field of jujube tree planting monitoring, and in particular to a jujube tree planting status monitoring and early warning system and method. Background Art

[0002] The jujube tree is a deciduous tree belonging to the Rhamnaceae family. It is native to China and has a cultivation history of more than 4,000 years. It is highly adaptable, drought-resistant and salt-tolerant, and is widely planted in temperate and subtropical regions. The main economic value of the jujube tree is its fresh and dried fruit. Jujube fruit is rich in vitamin C, protein and various minerals, and has high nutritional and medicinal value. The fruit of the jujube tree can be eaten directly, and is also often used to make candied fruit, preserved fruit, medicinal food, etc. It is an important economic crop and food ingredient.

[0003] Then, during the planting process, if the water potential is low, the chlorophyll content will usually be low, which will affect the photosynthesis and nutrient absorption of the trees. In this case, the growth potential of the jujube trees will be significantly weakened, with short trees, sparse branches and leaves, and reduced fruit yield and quality. These problems not only affect the health and growth of the jujube trees, but also directly affect the economic benefits.

[0004] Therefore, monitoring the status of jujube trees is particularly important. However, the current traditional monitoring methods mostly rely on observing the growth status of jujube trees, analyzing the planting soil and fertilizer, and detecting various elements inside the jujube trees. Although these methods have certain reference value, they have obvious limitations. Not only are they difficult to achieve real-time tracking and monitoring of the growth status of jujube trees, but they may also cause unnecessary damage to the jujube trees themselves during the operation.

[0005] Therefore, it is urgent to invent a detection technology for the planting status of jujube trees to solve the problem that the current technology cannot monitor and warn the growth status of jujube trees in real time and that the jujube trees themselves will be damaged during monitoring. Summary of the invention

[0006] In view of this, the present invention proposes a jujube tree planting status monitoring and early warning system and method, aiming to solve the problem that the current technology cannot monitor and warn the growth status of jujube trees in real time and that the jujube trees themselves may be damaged during monitoring.

[0007] The present invention proposes a jujube tree planting status monitoring and early warning system, comprising: a detection end and an evaluation end, wherein the detection end is provided with a plurality of detection units, and the detection end is used to obtain the plant water potential inside the jujube tree in a preset planting area, the canopy chlorophyll content of the jujube tree, and the growth height of the jujube tree;

[0008] The evaluation end is electrically connected to the detection end, and is used to evaluate the health value of the jujube tree based on the plant water potential inside the jujube tree, the canopy chlorophyll content of the jujube tree, and the growth height of the jujube tree, and send corresponding warning information according to the health value, wherein the evaluation end includes:

[0009] An acquisition module, the acquisition module is used to obtain the plant water potential inside the jujube tree in a preset planting area, the canopy chlorophyll content and the growth height of the jujube tree;

[0010] An evaluation module, electrically connected to the acquisition module, for evaluating the health value of the jujube tree according to the plant water potential inside the jujube tree, the chlorophyll content of the canopy, and the growth height of the jujube tree;

[0011] A central control module, electrically connected to the evaluation module, and configured to determine the warning level of the jujube tree according to the relationship between the health value and a preset health value;

[0012] An early warning module is electrically connected to the central control module, and is used to send early warning information according to the relationship between the early warning level and the preset early warning level, wherein:

[0013] If the warning level is equal to or greater than the preset warning level, the warning module sends the warning information.

[0014] Furthermore, the detection end includes:

[0015] A plurality of water potential detection units are provided, and the plurality of water potential detection units are respectively arranged inside the jujube trees in the preset planting area, and the water potential detection units are used to obtain the water potential inside the jujube trees;

[0016] An image acquisition unit, used for acquiring the image of the jujube tree;

[0017] A chlorophyll detection unit, used to obtain the chlorophyll content of the jujube tree canopy;

[0018] A collection unit is electrically connected to the water potential detection unit, the chlorophyll content detection unit, the image acquisition unit and the acquisition module, respectively, and the collection unit is used to collect the water potential inside the jujube tree, the chlorophyll content of the canopy and the height of the jujube tree in the jujube tree image;

[0019] The sending unit is electrically connected to the collecting unit, and is used to send the water potential inside the jujube tree, the chlorophyll content of the canopy of the jujube tree, and the height of the jujube tree to the acquiring module.

[0020] Furthermore, the evaluation module is used to evaluate the health value of the jujube tree according to the plant water potential inside the jujube tree, the chlorophyll content of the canopy and the growth height of the jujube tree, including:

[0021] The evaluation module is used to obtain the real-time plant water potential inside the jujube tree, and determine the health value of the jujube tree according to the relationship between the real-time plant water potential and the preset plant water potential;

[0022] When the real-time plant water potential is greater than or equal to the preset plant water potential, the evaluation module determines that the health value of the jujube tree is M4;

[0023] When the real-time plant water potential is less than the preset plant water potential, the evaluation module obtains the water potential difference between the real-time plant water potential and the preset plant water potential, and determines the health value evaluation of the jujube tree based on the water potential difference.

[0024] Furthermore, when the evaluation module determines the health value evaluation of the jujube tree according to the water potential difference value, it includes:

[0025] The evaluation module is configured with a first preset water potential difference value and a second preset water potential difference value, and the first preset water potential difference value is smaller than the second preset water potential difference value;

[0026] The evaluation module is also used to determine the health value of the jujube tree according to the relationship between the water potential difference value and each preset water potential difference value;

[0027] When the water potential difference is less than or equal to the first preset water potential difference, the evaluation module determines that the health value of the jujube tree is M3;

[0028] When the water potential difference value is greater than the first preset water potential difference value, and the water potential difference value is less than or equal to the second preset water potential difference value, the evaluation module determines that the health value of the jujube tree is M2;

[0029] When the water potential difference is greater than the second preset water potential difference, the evaluation module determines that the health value of the jujube tree is M1;

[0030] Moreover, M1<M2<M3<M4.

[0031] Further, when the evaluation module determines that the health value of the jujube tree is Mi, i=1, 2, 3, 4, it includes:

[0032] The evaluation module is also used to divide the canopy of the jujube tree into regions and obtain the real-time chlorophyll content of each region of the canopy;

[0033] The evaluation module is also used to determine the adjustment coefficient of the health value Mi of the jujube tree when it is adjusted according to the real-time chlorophyll content of each area of ​​the canopy:

[0034] Wherein, the evaluation module is also configured with a preset chlorophyll content;

[0035] When the real-time chlorophyll content of each area of ​​the canopy is greater than or equal to the preset chlorophyll content, the evaluation module determines that the adjustment coefficient is 0;

[0036] When the real-time chlorophyll content of each area of ​​the canopy is lower than the preset chlorophyll content in all or some areas, the evaluation module obtains the chlorophyll score of the canopy based on the formula according to the area of ​​each area where the real-time chlorophyll content is lower than the preset chlorophyll content and the content difference between the real-time chlorophyll content and the preset chlorophyll content. The formula is as follows:

[0037]

[0038] Where Q is the chlorophyll score of the canopy, n is the total number of areas in the canopy, and A j is the area of ​​the jth region, C h1 is the preset chlorophyll content, C jh is the real-time chlorophyll content of the jth region;

[0039] The evaluation module is further configured to determine the adjustment coefficient according to the chlorophyll score Q of the canopy when the real-time chlorophyll content of each area of ​​the canopy or some areas of the canopy is less than the preset chlorophyll content.

[0040] Furthermore, the evaluation module is also used to determine the adjustment coefficient according to the chlorophyll score Q of the canopy when the real-time chlorophyll content of each area of ​​the canopy or some areas is less than the preset chlorophyll content, including:

[0041] The evaluation module is also configured with a first preset chlorophyll score Q1 and a second preset chlorophyll score Q2, and Q1<Q2;

[0042] The evaluation module is further used to determine the adjustment coefficient according to the relationship between the chlorophyll score Q and each preset chlorophyll score, wherein:

[0043] When Q≤Q1, the evaluation module determines that the adjustment coefficient is N1;

[0044] When Q1<Q≤Q2, the evaluation module determines that the adjustment coefficient is N2;

[0045] When Q>Q2, the evaluation module determines that the adjustment coefficient is N3;

[0046] Moreover, 0<N1<N2<N3<1.

[0047] Further, when the evaluation module adjusts the health value Mi of the jujube tree according to the adjustment coefficient Ni, i = 1, 2, 3, 4, including:

[0048] The evaluation module is also used to obtain the real-time height of each of the jujube trees in the preset planting area, and obtain the average height of the real-time heights of each of the jujube trees;

[0049] The evaluation module is also used to determine whether to modify the adjustment coefficient Ni according to the relationship between the real-time altitude and the average altitude;

[0050] When the real-time altitude is equal to or higher than the average altitude, the evaluation module determines not to modify the adjustment coefficient Ni;

[0051] When the real-time altitude is lower than the average altitude, the evaluation module determines to correct the adjustment coefficient Ni, and determines the correction coefficient of the adjustment coefficient Ni according to the relationship between the real-time altitude and the average altitude.

[0052] Further, when the real-time altitude is lower than the average altitude, the evaluation module determines the correction coefficient when the adjustment coefficient Ni is corrected according to the relationship between the real-time altitude and the average altitude, including:

[0053] The evaluation module is also used to obtain the height difference between the real-time height and the average height;

[0054] The evaluation module is also used to determine the correction coefficient of the adjustment coefficient Ni according to the relationship between the height difference value and the preset height difference value;

[0055] Wherein, the evaluation module is further configured with a first preset height difference value and a second preset height difference value, and the first preset height difference value is smaller than the second preset height difference value;

[0056] When the height difference is less than or equal to the first preset height difference, the evaluation module determines that the correction coefficient of the adjustment coefficient Ni is B1;

[0057] When the height difference is less than or equal to the second preset height difference, and the height difference is greater than the first preset height difference, the evaluation module determines that the correction coefficient of the adjustment coefficient Ni is B2;

[0058] When the height difference is greater than the second preset height difference, the evaluation module determines that the correction coefficient of the adjustment coefficient Ni is B3;

[0059] Moreover, 0<B1<B2<B3<1.

[0060] Furthermore, the central control module is used to determine the warning level of the jujube tree according to the relationship between the health value and the preset health value, including:

[0061] The central control module is configured with a first preset health value and a second preset health value, and the first preset health value is smaller than the second preset health value;

[0062] The central control module is also used to determine the warning level of the jujube tree according to the relationship between the health value and each preset health value;

[0063] When the health value of the jujube tree is less than or equal to the first preset health value, the central control module determines that the warning level of the jujube tree is the first warning level;

[0064] When the health value of the jujube tree is greater than the first preset health value, and the health value of the jujube tree is less than or equal to the second preset health value, the central control module determines that the warning level of the jujube tree is the second warning level;

[0065] When the health value of the jujube tree is greater than the second preset health value, the central control module determines that the warning level of the jujube tree is the third warning level;

[0066] Furthermore, the first warning level is lower than the second warning level, and the second warning level is lower than the third warning level.

[0067] Compared with the prior art, the beneficial effect of the present invention is that the key growth parameters of the jujube trees in the preset planting area, including plant water potential, canopy chlorophyll content and growth height, can be accurately obtained through the detection units equipped at the detection end. These parameters directly reflect the health status and growth environment of the jujube trees. By real-time monitoring of these data, growers can promptly discover problems such as insufficient water, nutrient deficiency or disease in the growth process of the jujube trees, so as to take targeted management measures. Secondly, the evaluation end comprehensively evaluates the health status of the jujube trees through the coordination of the acquisition module, the evaluation module and the central control module. The acquisition module is used to collect and summarize real-time monitoring data to ensure the accuracy and timeliness of the data. The evaluation module uses these data to perform a scientific health value evaluation, taking into account the comprehensive influence of the three key indicators of plant water potential, chlorophyll content and growth height. This multi-indicator evaluation method can more comprehensively reflect the health status of the jujube trees, rather than relying solely on a single indicator, thereby improving the accuracy and reliability of the evaluation. The central control module further determines the warning level of the jujube trees based on the relationship between the health value and the preset health value. This step ensures the practicality of the assessment results and can convert complex health assessment results into simple and clear warning levels, which are easy for growers to understand and use. This warning level system makes planting management more efficient and can intervene in the early stage of the problem to avoid the expansion of the problem. Finally, the warning module sends corresponding warning information based on the relationship between the warning level and the preset warning level. When the warning level reaches or exceeds the preset value, the system will automatically issue a warning to remind managers to take necessary measures. This warning mechanism greatly improves the response speed of planting management, allowing growers to discover and deal with problems in the shortest time, reduce losses, and ensure the healthy growth and high yield of jujube trees.

[0068] On the other hand, the present application also provides a method for monitoring and early warning the planting status of jujube trees, comprising:

[0069] Obtaining the plant water potential inside the jujube trees in a preset planting area, the canopy chlorophyll content of the jujube trees, and the growth height of the jujube trees;

[0070] Evaluating the health value of the jujube tree according to the plant water potential inside the jujube tree, the chlorophyll content of the canopy and the growth height of the jujube tree;

[0071] According to the relationship between the health value and the preset health value, the warning level of the jujube tree is determined, and according to the relationship between the warning level and the preset warning level, the warning information is sent.

[0072] It can be understood that the planting status monitoring and early warning system and method of jujube trees in the above-mentioned embodiments of the present invention have the same beneficial effects, which will not be described in detail. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0074] Figure 1 A functional block diagram of a jujube tree planting status monitoring and early warning system provided by an embodiment of the present invention;

[0075] Figure 2 A functional block diagram of a detection terminal provided by an embodiment of the present invention;

[0076] Figure 3 A functional block diagram of an evaluation terminal provided by an embodiment of the present invention;

[0077] Figure 4 A process frame of a method for monitoring and early warning the planting status of jujube trees provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0078] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0079] The jujube tree is a deciduous tree belonging to the Rhamnaceae family. It is native to China and has a cultivation history of more than 4,000 years. It is highly adaptable, drought-resistant and salt-tolerant, and is widely planted in temperate and subtropical regions. The main economic value of the jujube tree is its fresh and dried fruit. Jujube fruit is rich in vitamin C, protein and various minerals, and has high nutritional and medicinal value. The fruit of the jujube tree can be eaten directly, and is also often used to make candied fruit, preserved fruit, medicinal food, etc. It is an important economic crop and food ingredient.

[0080] Then, during the planting process, if the water potential is low, the chlorophyll content will usually be low, which will affect the photosynthesis and nutrient absorption of the trees. In this case, the growth potential of the jujube trees will be significantly weakened, with short trees, sparse branches and leaves, and reduced fruit yield and quality. These problems not only affect the health and growth of the jujube trees, but also directly affect the economic benefits.

[0081] Therefore, monitoring the status of jujube trees is particularly important. However, the current traditional monitoring methods mostly rely on observing the growth status of jujube trees, analyzing the planting soil and fertilizer, and detecting various elements inside the jujube trees. Although these methods have certain reference value, they have obvious limitations. Not only are they difficult to achieve real-time tracking and monitoring of the growth status of jujube trees, but they may also cause unnecessary damage to the jujube trees themselves during the operation.

[0082] In view of this, the present invention proposes a jujube tree planting status monitoring and early warning system and method, aiming to solve the problem that the current technology cannot monitor and warn the growth status of jujube trees in real time and that the jujube trees themselves may be damaged during monitoring.

[0083] like Figure 1-Figure 3 As shown, in some embodiments of the present application, this embodiment provides a jujube tree planting status monitoring and early warning system, including: a detection end and an evaluation end, the detection end is provided with a plurality of detection units, the detection end is used to obtain the plant water potential inside the jujube tree in a preset planting area, the canopy chlorophyll content of the jujube tree and the growth height of the jujube tree; the evaluation end is electrically connected to the detection end, and the evaluation end is used to evaluate the health value of the jujube tree according to the plant water potential inside the jujube tree, the canopy chlorophyll content of the jujube tree and the growth height of the jujube tree, and send corresponding early warning information according to the health value.

[0084] Specifically, the evaluation end includes: an acquisition module, an evaluation module, a central control module and an early warning module. The acquisition module is used to acquire the internal plant water potential of the jujube trees in the preset planting area, the canopy chlorophyll content and the growth height of the jujube trees; the evaluation module is electrically connected to the acquisition module, and the evaluation module is used to evaluate the health value of the jujube trees according to the internal plant water potential of the jujube trees, the canopy chlorophyll content and the growth height of the jujube trees; the central control module is electrically connected to the evaluation module, and the central control module is used to determine the early warning level of the jujube trees according to the relationship between the health value and the preset health value; the early warning module is electrically connected to the central control module, and the early warning module is used to send early warning information according to the relationship between the early warning level and the preset early warning level, wherein: if the early warning level is equal to or greater than the preset early warning level, the early warning module sends the early warning information.

[0085] Specifically, the detection end includes: a water potential detection unit, an image acquisition unit, a chlorophyll detection unit, a collection unit and a sending unit. There are a plurality of water potential detection units, and the plurality of water potential detection units are respectively arranged inside each jujube tree in the preset planting area. The water potential detection unit is used to obtain the water potential inside the jujube tree; the image acquisition unit is used to obtain the image of the jujube tree; the chlorophyll detection unit is used to obtain the chlorophyll content of the canopy of the jujube tree; the collection unit is electrically connected to the water potential detection unit, the chlorophyll content detection unit, the image acquisition unit and the acquisition module respectively, and the collection unit is used to collect the water potential inside the jujube tree, the chlorophyll content of the canopy and the height of the jujube tree in the jujube tree image; the sending unit is electrically connected to the collection unit, and the sending unit is used to send the water potential inside the jujube tree, the chlorophyll content of the canopy of the jujube tree and the height of the jujube tree to the acquisition module.

[0086] It can be understood that the detection end is equipped with multiple detection units such as a water potential detection unit, an image acquisition unit, and a chlorophyll detection unit, which are responsible for obtaining the water potential, image, and canopy chlorophyll content inside the jujube tree. The water potential detection unit can accurately obtain the water potential information inside the jujube tree through certain sensing technology, reflecting the moisture status of the jujube tree. The image acquisition unit uses a camera and other equipment to obtain the image information of the jujube tree, thereby obtaining the growth height of the jujube tree. The chlorophyll detection unit uses spectroscopy or other technical means to measure the canopy chlorophyll content to reflect the leaf health of the jujube tree. The collaborative work of these detection units realizes the comprehensive acquisition of the key parameters inside the jujube tree. Secondly, the evaluation end includes an acquisition module, an evaluation module, a central control module, and an early warning module, which work together to realize a comprehensive evaluation and early warning of the health status of the jujube tree. The acquisition module is responsible for receiving and integrating data from the detection end, including information such as the water potential, canopy chlorophyll content, and growth height of the jujube tree. The evaluation module evaluates the health value of the jujube tree based on these data, taking into account the comprehensive impact of multiple indicators, and thus obtaining a more objective health evaluation. The central control module determines the warning level of the jujube tree based on the relationship between the health value and the preset health value, thus realizing the hierarchical management of the health status of the jujube tree. The warning module sends corresponding warning information based on the relationship between the warning level and the preset warning level, reminding the management personnel to take necessary measures.

[0087] It can be seen that, firstly, the detection end is equipped with multiple detection units such as water potential detection unit, image acquisition unit and chlorophyll detection unit, which can fully obtain the key parameters inside the jujube tree, including water potential, chlorophyll content and growth height. This diversified detection method ensures the comprehensiveness and accuracy of the monitoring data, which helps to fully understand the growth status of the jujube tree. Secondly, the evaluation end can comprehensively evaluate the health status of the jujube tree through the organic combination of the acquisition module, the evaluation module, the central control module and the early warning module, and send corresponding early warning information according to the evaluation results. The evaluation module evaluates the health value of the jujube tree based on multiple parameters, taking into account factors such as plant water potential, chlorophyll content and growth height, making the evaluation results more scientific and reliable. Secondly, the central control module realizes the hierarchical management of early warning information by determining the early warning level. In this way, the early warning sensitivity can be adjusted according to the actual situation, avoiding frequent triggering of early warnings due to some temporary factors, while ensuring timely warnings of important issues, and improving the pertinence and effectiveness of early warning information. Finally, the sending unit of the detection end is responsible for transmitting the collected data to the evaluation end, ensuring the timely transmission and processing of monitoring data. The real-time transmission and processing of this data ensures the real-time and sensitivity of the entire system, which helps growers to understand the growth status of jujube trees in a timely manner, take corresponding management measures, and improve the efficiency and effectiveness of jujube tree planting and management.

[0088] In some embodiments of the present application, the evaluation module is used to evaluate the health value of the jujube tree based on the plant water potential inside the jujube tree, the canopy chlorophyll content and the growth height of the jujube tree, including: the evaluation module is used to obtain the real-time plant water potential inside the jujube tree, and determine the health value of the jujube tree based on the relationship between the real-time plant water potential and the preset plant water potential: when the real-time plant water potential is greater than or equal to the preset plant water potential, the evaluation module determines that the health value of the jujube tree is M4; when the real-time plant water potential is less than the preset plant water potential, the evaluation module obtains the water potential difference between the real-time plant water potential and the preset plant water potential, and determines the health value evaluation of the jujube tree based on the water potential difference.

[0089] In some embodiments of the present application, when the evaluation module determines the health value of the jujube tree according to the water potential difference value, it includes: the evaluation module is configured with a first preset water potential difference value and a second preset water potential difference value, and the first preset water potential difference value is less than the second preset water potential difference value; the evaluation module is also used to determine the health value of the jujube tree according to the relationship between the water potential difference value and each preset water potential difference value; when the water potential difference value is less than or equal to the first preset water potential difference value, the evaluation module determines that the health value of the jujube tree is M3; when the water potential difference value is greater than the first preset water potential difference value, and the water potential difference value is less than or equal to the second preset water potential difference value, the evaluation module determines that the health value of the jujube tree is M2; when the water potential difference value is greater than the second preset water potential difference value, the evaluation module determines that the health value of the jujube tree is M1; and, M1<M2<M3<M4.

[0090] Specifically, the evaluation module first obtains the real-time plant water potential data inside the jujube tree and compares it with the preset water potential value. If the real-time water potential is greater than or equal to the preset water potential, the evaluation module directly sets the health value of the jujube tree to M4, indicating that the tree is in good condition. If the real-time water potential is less than the preset water potential, the evaluation module calculates the water potential difference between the real-time water potential and the preset water potential, and determines the health value evaluation of the jujube tree based on this difference. Two preset water potential differences are used here, respectively referred to as the first preset water potential difference and the second preset water potential difference, wherein the first preset water potential difference is less than the second preset water potential difference. The evaluation module determines the health value of the jujube tree based on the relationship between the water potential difference and the two preset water potential differences. Specifically, when the water potential difference is less than or equal to the first preset water potential difference, the evaluation module sets the health value of the jujube tree to M3, indicating that the tree is in a state of mild water deficiency. When the water potential difference is greater than the first preset water potential difference and less than or equal to the second preset water potential difference, the evaluation module sets the health value of the jujube tree to M2, indicating that the tree is in a state of moderate water deficiency. When the water potential difference is greater than the second preset water potential difference, the evaluation module sets the health value of the jujube tree to M1, indicating that the tree is in a state of severe water shortage. This setting ensures that the severity of the water condition of the jujube tree can be accurately judged according to the size of the water potential difference.

[0091] Specifically, by comparing the plant water potential data obtained in real time with the preset water potential threshold, the system can accurately determine the current water status of the jujube tree. If the real-time water potential value is higher than or equal to the preset value, it can be determined that the water is sufficient, otherwise there may be insufficient water. Secondly, the method combines multiple preset water potential difference values. By setting different preset water potential difference values, the system can divide the degree of insufficient water in a more detailed manner. Different water potential difference values ​​correspond to different health values. For example, a smaller water potential difference value may correspond to a slight water shortage, while a larger water potential difference value may correspond to a serious water shortage, making the evaluation result more discriminative and accurate. Finally, the evaluation module sets different health values ​​according to the size of the water potential difference value. This differentiated health value setting enables the system to flexibly judge the health status of the jujube tree according to the different degrees of water conditions, and provide growers with more accurate health assessment results. Taking into account the real-time nature of the water potential data, the comparison with the preset value, and the size of the water potential difference value, the method effectively realizes the accurate evaluation of the health status of the jujube tree.

[0092] In some embodiments of the present application, when the evaluation module determines that the health value of the jujube tree is Mi, i=1, 2, 3, 4, including: the evaluation module is also used to divide the canopy of the jujube tree into regions and obtain the real-time chlorophyll content of each region of the canopy; the evaluation module is also used to determine the adjustment coefficient of the health value Mi of the jujube tree when it is adjusted according to the real-time chlorophyll content of each region of the canopy: wherein the evaluation module is also configured with a preset chlorophyll content; when the real-time chlorophyll content of each region of the canopy is greater than or equal to the preset chlorophyll content, the evaluation module determines that the adjustment coefficient is 0; when the real-time chlorophyll content of each region of the canopy or some regions is less than the preset chlorophyll content, the evaluation module obtains the chlorophyll score of the canopy based on the formula according to the area of ​​each region where the real-time chlorophyll content is less than the preset chlorophyll content and the content difference between the real-time chlorophyll content and the preset chlorophyll content, and the formula is as follows:

[0093]

[0094] Where Q is the chlorophyll score of the canopy, n is the total number of canopy areas, and A j is the area of ​​the jth region, C h1 is the preset chlorophyll content, C jh is the real-time chlorophyll content of the jth region; the evaluation module is also used to determine the adjustment coefficient according to the chlorophyll score Q of the canopy when the real-time chlorophyll content of each region of the canopy or some regions is less than the preset chlorophyll content.

[0095] In some embodiments of the present application, the evaluation module is also used to determine the adjustment coefficient according to the chlorophyll score Q of the canopy when the real-time chlorophyll content in each area of ​​the canopy or some areas is less than the preset chlorophyll content, including: the evaluation module is also configured with a first preset chlorophyll score Q1 and a second preset chlorophyll score Q2, and Q1<Q2; the evaluation module is also used to determine the adjustment coefficient according to the relationship between the chlorophyll score Q and each preset chlorophyll score, wherein: when Q≤Q1, the evaluation module determines the adjustment coefficient to be N1; when Q1<Q≤Q2, the evaluation module determines the adjustment coefficient to be N2; when Q>Q2, the evaluation module determines the adjustment coefficient to be N3; and, 0<N1<N2<N3<1.

[0096] Specifically, when determining the health value of the jujube tree, the evaluation module not only considers the water potential of the plant, but also conducts a comprehensive evaluation of the chlorophyll content of the canopy of the jujube tree. First, the canopy of the jujube tree is divided into regions, and the real-time chlorophyll content of each region is obtained. Then, based on the comparison between the real-time chlorophyll content and the preset chlorophyll content, an adjustment coefficient is determined, which is used to adjust the health value to more accurately reflect the health status of the jujube tree. The evaluation module determines whether the chlorophyll content of the canopy meets expectations based on the comparison between the real-time chlorophyll content of each region of the canopy and the preset chlorophyll content. If the real-time chlorophyll content of each region of the canopy is greater than or equal to the preset chlorophyll content, the evaluation module sets the adjustment coefficient to 0, indicating that the jujube tree is in good health. If the real-time chlorophyll content of each region of the canopy is partially or completely less than the preset chlorophyll content, the evaluation module will calculate the chlorophyll score of the canopy using a given formula based on the content difference between the real-time chlorophyll content and the preset chlorophyll content and the area of ​​each region. Further, the evaluation module will determine the adjustment coefficient based on the chlorophyll score of the canopy. In this process, two preset chlorophyll scores are considered, namely, a first preset chlorophyll score and a second preset chlorophyll score, wherein the first preset chlorophyll score is less than the second preset chlorophyll score. The evaluation module determines the adjustment coefficient based on the relationship between the chlorophyll score and the two preset chlorophyll scores, so that the adjustment coefficient can vary according to the different chlorophyll scores. In this way, the system can more accurately adjust the health value of the jujube tree according to the chlorophyll content, thereby improving the accuracy and reliability of the health status assessment.

[0097] It is understandable that the canopy chlorophyll content is used as an important indicator for evaluating the health of jujube trees. Chlorophyll is a pigment necessary for photosynthesis in plants, and its content directly reflects the growth status and health of plants. Therefore, through a comprehensive evaluation of the canopy chlorophyll content, the growth status of jujube trees can be understood more accurately. Secondly, by comparing the real-time chlorophyll content with the preset chlorophyll content, it is possible to determine whether the chlorophyll content of the jujube trees meets expectations. Through this comparison, the system can promptly detect the situation where the chlorophyll content is low, and then make corresponding adjustments and management to ensure the healthy growth of the jujube trees. In addition, the area factor of each area of ​​the canopy is also considered. There may be differences in the chlorophyll content in different areas, and different areas have different effects on the overall health of the jujube trees. Through a comprehensive consideration of the chlorophyll content in each area, the health of the jujube trees can be more comprehensively evaluated, and the accuracy and reliability of the evaluation results are improved.

[0098] In some embodiments of the present application, when the evaluation module adjusts the health value Mi of the jujube tree according to the adjustment coefficient Ni, i=1, 2, 3, 4, including: the evaluation module is also used to obtain the real-time height of each jujube tree in the preset planting area, and obtain the average height of the real-time height of each jujube tree; the evaluation module is also used to determine whether to correct the adjustment coefficient Ni according to the relationship between the real-time height and the average height; when the real-time height is equal to or higher than the average height, the evaluation module determines not to correct the adjustment coefficient Ni; when the real-time height is lower than the average height, the evaluation module determines to correct the adjustment coefficient Ni, and determines the correction coefficient when the adjustment coefficient Ni is corrected according to the relationship between the real-time height and the average height.

[0099] In some embodiments of the present application, when the real-time altitude is lower than the average altitude, the evaluation module determines the correction coefficient of the adjustment coefficient Ni according to the relationship between the real-time altitude and the average altitude, including: the evaluation module is also used to obtain the height difference between the real-time altitude and the average altitude; the evaluation module also determines the correction coefficient of the adjustment coefficient Ni according to the relationship between the height difference and the preset height difference; wherein the evaluation module is also configured with a first preset height difference and a second preset height difference, and the first preset height difference is less than the second preset height difference; when the height difference is less than or equal to the first preset height difference, the evaluation module determines that the correction coefficient of the adjustment coefficient Ni is B1; when the height difference is less than or equal to the second preset height difference, and the height difference is greater than the first preset height difference, the evaluation module determines that the correction coefficient of the adjustment coefficient Ni is B2; when the height difference is greater than the second preset height difference, the evaluation module determines that the correction coefficient of the adjustment coefficient Ni is B3; and, 0<B1<B2<B3<1.

[0100] Specifically, the evaluation module obtains the real-time height of each jujube tree in the preset planting area and calculates the average height of these jujube trees. This step ensures a comprehensive understanding of the height changes of the jujube trees and provides basic data for the subsequent correction of the health value. Secondly, the evaluation module determines whether the adjustment coefficient Ni needs to be corrected based on the relationship between the real-time height and the average height of the jujube tree. When the real-time height of the jujube tree is equal to or higher than the average height, it indicates that the growth state of the jujube tree is good and there is no need to correct the adjustment coefficient of the health value. However, when the real-time height of the jujube tree is lower than the average height, it indicates that the jujube tree may have poor growth. The evaluation module determines the correction coefficient of the adjustment coefficient Ni based on the difference between the real-time height and the average height, as well as the preset height difference. Two preset height differences are considered here, namely the first preset height difference and the second preset height difference. By comparing the size of the height difference, the correction degree of the adjustment coefficient Ni is determined. Finally, the determination of the correction coefficient takes into account the different correction degrees under different height differences. By setting the first preset height difference and the second preset height difference, as well as the corresponding correction coefficient, the system can make more accurate and reasonable adjustments to the correction of the health value according to the actual situation.

[0101] It can be seen that the relationship between the real-time height and the average height of the jujube tree is taken into consideration. The real-time height reflects the current growth status of the jujube tree, while the average height represents the average growth level within a certain period of time. By comparing the real-time height with the average height, it can be judged whether the growth of the jujube tree is normal. If the real-time height is lower than the average height, it may mean that the jujube tree is growing poorly and needs to be adjusted accordingly. Secondly, it is determined whether the adjustment coefficient needs to be corrected based on the difference between the real-time height and the average height. When there is a large difference between the real-time height and the average height of the jujube tree, it means that the growth of the jujube tree may be abnormal, and the adjustment coefficient of the health value needs to be corrected to more accurately reflect its health status. In addition, the degree of correction of the adjustment coefficient is determined according to different height differences. By setting different preset height differences and corresponding correction coefficients, the health value can be adjusted more accurately according to the actual growth situation of the jujube tree. This personalized adjustment method can better adapt to the changes in the growth environment of different jujube trees and improve the accuracy and reliability of the evaluation results.

[0102] In some embodiments of the present application, the central control module is used to determine the warning level of the jujube tree according to the relationship between the health value and the preset health value, including: the central control module is configured with a first preset health value and a second preset health value, and the first preset health value is less than the second preset health value; the central control module is also used to determine the warning level of the jujube tree according to the relationship between the health value and each preset health value; when the health value of the jujube tree is less than or equal to the first preset health value, the central control module determines that the warning level of the jujube tree is the first warning level; when the health value of the jujube tree is greater than the first preset health value, and the health value of the jujube tree is less than or equal to the second preset health value, the central control module determines that the warning level of the jujube tree is the second warning level; when the health value of the jujube tree is greater than the second preset health value, the central control module determines that the warning level of the jujube tree is the third warning level; and the first warning level is less than the second warning level, and the second warning level is less than the third warning level.

[0103] Specifically, the first preset health value and the second preset health value are configured through the central control module, and the first preset health value is less than the second preset health value. This means that the system pre-sets two different health thresholds for dividing the health status of the jujube tree. By setting these two preset health values, the health status of the jujube tree can be evaluated more finely. Secondly, according to the relationship between the health value of the jujube tree and each preset health value, the warning level of the jujube tree is determined. When the health value of the jujube tree is less than or equal to the first preset health value, the central control module determines that the warning level of the jujube tree is the first warning level; when the health value of the jujube tree is between the first preset health value and the second preset health value, the central control module determines that the warning level of the jujube tree is the second warning level; when the health value of the jujube tree is greater than the second preset health value, the central control module determines that the warning level of the jujube tree is the third warning level. Finally, by ensuring that the first warning level is less than the second warning level, and the second warning level is less than the third warning level, the system can achieve orderly grading of the warning level, making the warning information more targeted and practical. This hierarchical design takes into account the response measures under different health conditions, so that growers can take corresponding measures in time according to actual conditions to ensure the healthy growth of jujube trees.

[0104] In the above embodiment, the key growth parameters of the jujube trees in the preset planting area can be accurately obtained through several detection units equipped by the detection end, including plant water potential, canopy chlorophyll content and growth height. These parameters directly reflect the health status and growth environment of the jujube trees. By real-time monitoring of these data, growers can promptly discover problems such as insufficient water, nutrient deficiency or disease in the growth process of the jujube trees, so as to take targeted management measures. Secondly, the evaluation end comprehensively evaluates the health status of the jujube trees through the coordination of the acquisition module, the evaluation module and the central control module. The acquisition module is used to collect and summarize real-time monitoring data to ensure the accuracy and timeliness of the data. The evaluation module uses these data to perform scientific health value evaluation, taking into account the comprehensive influence of the three key indicators of plant water potential, chlorophyll content and growth height. This multi-indicator evaluation method can more comprehensively reflect the health status of the jujube trees, rather than just relying on a single indicator, thereby improving the accuracy and reliability of the evaluation. The central control module further determines the warning level of the jujube trees based on the relationship between the health value and the preset health value. This step ensures the practicality of the evaluation results, and can convert complex health evaluation results into simple and clear warning levels, which is convenient for growers to understand and use. This early warning level system makes planting management more efficient and can intervene in the early stages of problems to avoid escalation. Finally, the early warning module sends corresponding early warning information based on the relationship between the early warning level and the preset early warning level. When the early warning level reaches or exceeds the preset value, the system will automatically issue an early warning to remind managers to take necessary measures. This early warning mechanism greatly improves the response speed of planting management, allowing growers to discover and deal with problems in the shortest time, reduce losses, and ensure the healthy growth and high yield of jujube trees.

[0105] In another preferred embodiment based on the above embodiment, Figure 4 As shown, this embodiment provides a method for monitoring and early warning of the planting status of jujube trees, comprising:

[0106] Step S100, obtaining the plant water potential inside the jujube trees in the preset planting area, the chlorophyll content of the canopy of the jujube trees, and the growth height of the jujube trees.

[0107] Step S200: Evaluate the health value of the jujube tree according to the plant water potential inside the jujube tree, the chlorophyll content of the canopy and the growth height of the jujube tree.

[0108] Step S300: determine the warning level of the jujube tree according to the relationship between the health value and the preset health value, and send warning information according to the relationship between the warning level and the preset warning level.

[0109] It can be understood that the planting status monitoring and early warning system and method of jujube trees in the above-mentioned embodiments of the present invention have the same beneficial effects, which will not be described in detail.

[0110] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0111] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0112] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0113] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0114] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A jujube tree planting status monitoring and early warning system, characterized in that: include: A detection end and an evaluation end, wherein the detection end is provided with a plurality of detection units, and the detection end is used to obtain the plant water potential inside the jujube trees in a preset planting area, the canopy chlorophyll content of the jujube trees, and the growth height of the jujube trees; The evaluation end is electrically connected to the detection end, and is used to evaluate the health value of the jujube tree according to the plant water potential inside the jujube tree, the canopy chlorophyll content of the jujube tree, and the growth height of the jujube tree, and send corresponding early warning information according to the health value, wherein the evaluation end includes: An acquisition module, the acquisition module is used to obtain the plant water potential inside the jujube tree in a preset planting area, the chlorophyll content of the canopy and the growth height of the jujube tree; An evaluation module, electrically connected to the acquisition module, for evaluating the health value of the jujube tree according to the plant water potential inside the jujube tree, the chlorophyll content of the canopy, and the growth height of the jujube tree; A central control module, electrically connected to the evaluation module, and configured to determine the warning level of the jujube tree according to the relationship between the health value and a preset health value; An early warning module is electrically connected to the central control module, and is used to send early warning information according to the relationship between the early warning level and the preset early warning level, wherein: If the warning level is equal to or greater than the preset warning level, the warning module sends the warning information; The detection end comprises: A plurality of water potential detection units are provided, and the plurality of water potential detection units are respectively arranged inside the jujube trees in the preset planting area, and the water potential detection units are used to obtain the water potential inside the jujube trees; An image acquisition unit, used for acquiring the image of the jujube tree; A chlorophyll detection unit, used to obtain the chlorophyll content of the jujube tree canopy; A collection unit is electrically connected to the water potential detection unit, the chlorophyll content detection unit, the image acquisition unit and the acquisition module, respectively, and the collection unit is used to collect the water potential inside the jujube tree, the chlorophyll content of the canopy and the height of the jujube tree in the jujube tree image; A sending unit, electrically connected to the collecting unit, and configured to send the water potential inside the jujube tree, the chlorophyll content of the canopy of the jujube tree, and the height of the jujube tree to the acquiring module; The evaluation module is used to evaluate the health value of the jujube tree according to the plant water potential inside the jujube tree, the chlorophyll content of the canopy and the growth height of the jujube tree, including: The evaluation module is used to obtain the real-time plant water potential inside the jujube tree, and determine the health value of the jujube tree according to the relationship between the real-time plant water potential and the preset plant water potential; When the real-time plant water potential is greater than or equal to the preset plant water potential, the evaluation module determines that the health value of the jujube tree is M4; When the real-time plant water potential is less than the preset plant water potential, the evaluation module obtains the water potential difference between the real-time plant water potential and the preset plant water potential, and determines the health value evaluation of the jujube tree according to the water potential difference; When the evaluation module determines the health value evaluation of the jujube tree according to the water potential difference value, it includes: The evaluation module is configured with a first preset water potential difference value and a second preset water potential difference value, and the first preset water potential difference value is smaller than the second preset water potential difference value; The evaluation module is also used to determine the health value of the jujube tree according to the relationship between the water potential difference value and each preset water potential difference value; When the water potential difference is less than or equal to the first preset water potential difference, the evaluation module determines that the health value of the jujube tree is M3; When the water potential difference value is greater than the first preset water potential difference value, and the water potential difference value is less than or equal to the second preset water potential difference value, the evaluation module determines that the health value of the jujube tree is M2; When the water potential difference is greater than the second preset water potential difference, the evaluation module determines that the health value of the jujube tree is M1; Moreover, M1<M2<M3<M4; When the evaluation module determines that the health value of the jujube tree is Mi, i=1,2,3,4, including: The evaluation module is also used to divide the canopy of the jujube tree into regions and obtain the real-time chlorophyll content of each region of the canopy; The evaluation module is also used to determine the adjustment coefficient of the health value Mi of the jujube tree when adjusting according to the real-time chlorophyll content of each area of ​​the canopy: Wherein, the evaluation module is also configured with a preset chlorophyll content; When the real-time chlorophyll content of each area of ​​the canopy is greater than or equal to the preset chlorophyll content, the evaluation module determines that the adjustment coefficient is 0; When the real-time chlorophyll content of each area of ​​the canopy is lower than the preset chlorophyll content in all or some areas, the evaluation module obtains the chlorophyll score of the canopy based on the formula according to the area of ​​each area where the real-time chlorophyll content is lower than the preset chlorophyll content and the content difference between the real-time chlorophyll content and the preset chlorophyll content. The formula is as follows: Where Q is the chlorophyll score of the canopy, n is the total number of areas in the canopy, and A j is the area of ​​the jth region, C h1 is the preset chlorophyll content, C jh is the real-time chlorophyll content of the jth region; The evaluation module is also used to determine the adjustment coefficient according to the chlorophyll score Q of the canopy when the real-time chlorophyll content of each area of ​​the canopy or some areas is less than the preset chlorophyll content; The evaluation module is also used to determine the adjustment coefficient according to the chlorophyll score Q of the canopy when the real-time chlorophyll content of each area of ​​the canopy or some areas is less than the preset chlorophyll content, including: The evaluation module is also configured with a first preset chlorophyll score Q1 and a second preset chlorophyll score Q2, and Q1<Q2; The evaluation module is further used to determine the adjustment coefficient according to the relationship between the chlorophyll score Q and each preset chlorophyll score, wherein: When Q≤Q1, the evaluation module determines that the adjustment coefficient is N1; When Q1<Q≤Q2, the evaluation module determines that the adjustment coefficient is N2; When Q>Q2, the evaluation module determines that the adjustment coefficient is N3; And, 0<N1<N2<N3<1; When the evaluation module adjusts the health value Mi of the jujube tree according to the adjustment coefficient Ni, i=1,2,3,4, including: The evaluation module is also used to obtain the real-time height of each of the jujube trees in the preset planting area, and obtain the average height of the real-time heights of each of the jujube trees; The evaluation module is also used to determine whether to correct the adjustment coefficient Ni according to the relationship between the real-time altitude and the average altitude; When the real-time altitude is equal to or higher than the average altitude, the evaluation module determines not to correct the adjustment coefficient Ni; When the real-time altitude is lower than the average altitude, the evaluation module determines to correct the adjustment coefficient Ni, and determines the correction coefficient when correcting the adjustment coefficient Ni according to the relationship between the real-time altitude and the average altitude; When the real-time altitude is lower than the average altitude, the evaluation module determines the correction coefficient when the adjustment coefficient Ni is corrected according to the relationship between the real-time altitude and the average altitude, including: The evaluation module is also used to obtain the height difference between the real-time height and the average height; The evaluation module is also used to determine a correction coefficient of the adjustment coefficient Ni according to the relationship between the height difference value and a preset height difference value; Wherein, the evaluation module is further configured with a first preset height difference value and a second preset height difference value, and the first preset height difference value is smaller than the second preset height difference value; When the height difference is less than or equal to the first preset height difference, the evaluation module determines that the correction coefficient of the adjustment coefficient Ni is B1; When the height difference is less than or equal to the second preset height difference, and the height difference is greater than the first preset height difference, the evaluation module determines that the correction coefficient of the adjustment coefficient Ni is B2; When the height difference is greater than the second preset height difference, the evaluation module determines that the correction coefficient of the adjustment coefficient Ni is B3; Moreover, 0<B1<B2<B3<1.

2. The jujube tree planting status monitoring and early warning system according to claim 1, characterized in that: The central control module is used to determine the warning level of the jujube tree according to the relationship between the health value and the preset health value, including: The central control module is configured with a first preset health value and a second preset health value, and the first preset health value is smaller than the second preset health value; The central control module is also used to determine the warning level of the jujube tree according to the relationship between the health value and each preset health value; When the health value of the jujube tree is less than or equal to the first preset health value, the central control module determines that the warning level of the jujube tree is the first warning level; When the health value of the jujube tree is greater than the first preset health value, and the health value of the jujube tree is less than or equal to the second preset health value, the central control module determines that the warning level of the jujube tree is the second warning level; When the health value of the jujube tree is greater than the second preset health value, the central control module determines that the warning level of the jujube tree is the third warning level; Furthermore, the first warning level is lower than the second warning level, and the second warning level is lower than the third warning level.

3. A method for monitoring and early warning the planting status of jujube trees, applicable to a monitoring and early warning system for the planting status of jujube trees as claimed in any one of claims 1 to 2, characterized in that: include: Obtaining the plant water potential inside the jujube trees in a preset planting area, the canopy chlorophyll content of the jujube trees, and the growth height of the jujube trees; Evaluating the health value of the jujube tree according to the plant water potential inside the jujube tree, the chlorophyll content of the canopy and the growth height of the jujube tree; According to the relationship between the health value and the preset health value, the warning level of the jujube tree is determined, and according to the relationship between the warning level and the preset warning level, the warning information is sent.

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