Tomato plant monitoring method and system

Abstract

The invention provides a tomato plant monitoring method and system. The tomato plant monitoring method comprises the following steps: acquiring image data and growth environment data of a tomato plant to be monitored; determining the growth period of the tomato plant to be detected according to the whole plant image, and determining the saturation vapor pressure difference of the environment according to the growth environment data; determining the target irrigation amount of the tomato plants based on the growth period, the saturation vapor pressure difference and the irrigation amount application rule; according to the leaf features and the spectral information, identifying the nutritional status, disease and pest species and disease and pest severity of the to-be-monitored tomato plant; determining a target nutrient solution application scheme based on the nutrient condition and the nutrient solution application rule; determining a target pesticide application scheme based on the disease and pest species, the disease and pest severity, the growth period and the pesticide application rule; and controlling the water-fertilizer-pesticide all-in-one machine to perform water-fertilizer-pesticide preparation and application according to the target irrigation amount, the target nutrient solution application scheme and the target pesticide application scheme. According to the method, tomato plants can be monitored in real time, water, fertilizer and pesticide are supplied, and the yield and quality are improved.

Description

Technical Field

[0001] The invention belongs to the technical field of agriculture, and in particular relates to a monitoring method and system for tomato plants. Background Art

[0002] During the cultivation of tomato plants, the supply of water, nutrients and pesticides directly affects the yield and quality of the plants. At present, the growth status and pest situation of tomato plants are mainly identified through manual inspections, and then water, fertilizer and pesticides are supplied to the tomato plants based on personal experience. Since manual inspections cannot apply water, fertilizer and pesticides in a timely manner, and the application amount of water, fertilizer and pesticides is subject to the subjective influence of different growers, the efficiency and accuracy of water, fertilizer and pesticide supply are low, resulting in low yield and quality of tomato plants. Summary of the invention

[0003] In order to solve the problem of low efficiency and low accuracy in supplying water, fertilizer and medicine during the cultivation of tomato plants, the present invention provides a monitoring method and system for tomato plants.

[0004] In order to achieve the above object, the present invention provides the following technical solutions:

[0005] A method for monitoring tomato plants, comprising:

[0006] Obtain image data and growth environment data of the tomato plant to be monitored, the image data including the whole plant image, leaf features and spectral information;

[0007] Determine the growth period of the tomato plant to be tested based on the whole plant image, and determine the saturated water vapor pressure difference of the environment based on the growth environment data; determine the target irrigation amount of the tomato plant based on the growth period, saturated water vapor pressure difference and irrigation amount application rules;

[0008] The leaf features and spectral information are input into the pre-trained model to identify the nutritional status, pest and disease types, and severity of the pests and diseases of the tomato plants to be monitored;

[0009] Determine the target nutrient solution application plan based on the nutritional status and nutrient solution application rules; determine the target pesticide application plan based on the type of pests and diseases, the severity of the pests and diseases, the growth period and the pesticide application rules; wherein the target nutrient solution application plan includes the type of nutrient solution and the corresponding concentration, and the target pesticide application plan includes the type of pesticide, the corresponding concentration, the amount of pesticide application and the frequency of pesticide application;

[0010] The integrated water-fertilizer-pesticide machine is controlled to modulate water, fertilizer and pesticide according to the target irrigation volume, target nutrient solution application plan and target pesticide application plan, and the modulated mixed solution is applied to the monitored tomato plants.

[0011] Optionally, the growth environment data includes relative air humidity and temperature, and the saturated water vapor pressure difference is:

[0012]

[0013] Among them, RH represents the relative humidity of air and H represents the temperature.

[0014] Optionally, the growth environment data also includes light intensity, soil temperature, soil moisture, soil pH value and soil EC value of the soil where the tomato plant to be monitored grows, and also includes:

[0015] The growth environment of the tomato plants to be monitored is regulated according to the relative humidity and temperature of the air, the light intensity, the soil temperature of the soil where the tomato plants to be monitored grow, the soil moisture, the soil pH value and the soil EC value.

[0016] Optionally, the integrated water-fertilizer-pesticide machine is controlled to modulate water-fertilizer-pesticide according to a target irrigation volume, a target nutrient solution application plan, and a target pesticide application plan, and the modulated mixed liquid medicine is applied to the monitored tomato plants, including:

[0017] Generate water, fertilizer and pesticide recommendations based on target irrigation volume, target nutrient solution application plan and target pesticide application plan;

[0018] Send water, fertilizer and medicine recommendations to the user terminal and receive water, fertilizer and medicine instructions from the user;

[0019] The water-fertilizer-in-one machine is controlled to modulate water, fertilizer and medicine according to the water-fertilizer-medicine instructions, and the modulated mixed liquid medicine is applied to the monitored tomato plants.

[0020] Optionally, it also includes:

[0021] Obtain image data of the tomato plant to be monitored within a preset historical time period;

[0022] Predicting the growth status and nutritional requirements of the tomato plants to be monitored within a preset time period in the future based on current image data and historical image data;

[0023] The growth status and nutritional requirements of the tomato plants to be monitored are sent to the user terminal.

[0024] The present invention also provides a tomato plant monitoring system, comprising:

[0025] An information acquisition module is used to acquire image data and growth environment data of the tomato plant to be monitored, wherein the image data includes the whole plant image, leaf characteristics and spectral information;

[0026] The first determination module is used to determine the growth period of the tomato plant to be detected based on the whole plant image, determine the saturated water vapor pressure difference of the environment based on the growth environment data; determine the target irrigation amount of the tomato plant based on the growth period, saturated water vapor pressure difference and irrigation amount application rules;

[0027] The recognition module is used to input leaf features and spectral information into the pre-trained model to identify the nutritional status, pest and disease types, and severity of pests and diseases of the tomato plants to be monitored;

[0028] The second determination module is used to determine the target nutrient solution application scheme based on the nutritional status and the nutrient solution application rules; determine the target pesticide application scheme based on the type of pests and diseases, the severity of the pests and diseases, the growth period and the pesticide application rules; wherein the target nutrient solution application scheme includes the type of nutrient solution and the corresponding concentration, and the target pesticide application scheme includes the type of pesticide, the corresponding concentration, the pesticide application amount and the pesticide application frequency;

[0029] The control module is used to control the integrated water-fertilizer-pesticide machine to modulate water, fertilizer and pesticide according to the target irrigation volume, target nutrient solution application plan and target pesticide application plan, and apply the modulated mixed solution to the monitored tomato plants.

[0030] Optionally, the monitoring system for tomato plants further comprises:

[0031] Photovoltaic power generation module, used to power various modules of the tomato plant monitoring system.

[0032] The tomato plant monitoring method provided by the present invention has the following beneficial effects:

[0033] In the present invention, image data and growth environment data of the tomato plants to be monitored are acquired in real time, and the target irrigation amount, type of nutrient solution and corresponding concentration, type of pesticide, corresponding concentration, pesticide application amount and pesticide application frequency of the tomato plants are determined according to the image data and the growth environment data, and the integrated water, fertilizer and pesticide machine is controlled to modulate according to the target irrigation amount, type of nutrient solution and corresponding concentration, type of pesticide, corresponding concentration, pesticide application amount and pesticide application frequency, and the modulated mixed liquid is applied to the tomato plants to be monitored; the entire monitoring process does not require human participation, and automatic monitoring of the growth status of the tomato plants is realized. The type and amount of water, fertilizer and pesticide that meet the current growth status of the tomato plants to be monitored are determined through image data and growth environment data, thereby realizing the reasonable allocation of water, fertilizer and pesticide, and improving the efficiency and accuracy of water, fertilizer and pesticide supply, thereby improving the yield and quality of tomato plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiment of the present invention and its design scheme, the following briefly introduces the drawings required for this embodiment. The drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0035] Figure 1 A schematic flow chart of a method for monitoring tomato plants provided by an embodiment of the present invention;

[0036] Figure 2 A schematic diagram of a result period provided by an embodiment of the present invention;

[0037] Figure 3 A phenotypic characteristic diagram of canopy leaves of a tomato plant under conditions of deficiency and excess of different elements provided by an embodiment of the present invention;

[0038] Figure 4 A phenotypic characteristic diagram of a tomato plant canopy leaf infected with gray mold provided by an embodiment of the present invention;

[0039] Figure 5 A phenotypic characteristic diagram of canopy leaves of a tomato plant infected with late blight provided in an embodiment of the present invention;

[0040] Figure 6 A phenotypic characteristic diagram of a tomato plant canopy leaf infected with early blight provided in an embodiment of the present invention;

[0041] Figure 7 A phenotypic characteristic diagram of a tomato plant canopy leaf infected with leaf mold provided by the present invention;

[0042] Figure 8 A schematic diagram of the structure of a tomato plant monitoring system provided by an embodiment of the present invention;

[0043] Fig. 9 A schematic structural diagram of another tomato plant monitoring system provided by an embodiment of the present invention.

[0044] Explanation of the accompanying drawings: 1-front RGB camera, 2-hanging RGB camera, 3-hyperspectral camera, 4-environmental temperature, humidity and light integrated sensor, 5-soil sensor, 6-cloud platform, 7-water, fertilizer and pesticide integrated machine, 8-user terminal, 9-photovoltaic panel, 10-battery, 11-5G base station. DETAILED DESCRIPTION

[0045] In order to enable those skilled in the art to better understand the technical solution of the present invention and implement it, the present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the scope of protection of the present invention.

[0046] In the description of the present invention, it is to be understood that the terms “center”, “longitudinal”, “lateral”, “length”, “width”, “thickness”, “up”, “down”, “front”, “back”, “left”, “right”, “vertical”, “horizontal”, “top”, “bottom”, “inside”, “outside”, “axial”, “radial”, “circumferential”, etc., indicating orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, are only for the convenience of describing the technical solutions of the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0047] In addition, the terms "first", "second", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance. In the description of the present invention, it should be noted that, unless otherwise clearly specified or limited, the terms "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances. In the description of the present invention, unless otherwise specified, "plurality" means two or more, which will not be described in detail here.

[0048] Based on the problem that the efficiency and accuracy of water, fertilizer and medicine supply to tomato plants in the prior art are low, resulting in low yield and quality of tomato plants, the present invention proposes a monitoring method for tomato plants, such as Figure 1 As shown, Figure 1 A schematic flow chart of a method for monitoring tomato plants provided by an embodiment of the present invention, the method comprising the following steps:

[0049] S1, obtaining image data and growth environment data of the tomato plant to be monitored.

[0050] Among them, the image data includes the whole plant image, leaf characteristics and spectral information of the tomato plant to be monitored, and the growth environment data may include relative humidity and temperature of the air, light intensity, soil temperature, soil moisture, soil pH value and soil EC value of the soil where the tomato plant to be monitored grows, etc.

[0051] Optionally, the whole plant image of the tomato plant to be monitored can be obtained through the front RGB camera, the leaf characteristics can be obtained through the RGB camera suspended above the tomato plant, the spectral information can be obtained through the hyperspectral camera, and the relative humidity and temperature of the air, the light intensity, the soil temperature of the soil where the tomato plant to be monitored grows, the soil moisture, the soil pH value and the soil EC value and other data can be obtained through the environmental temperature, humidity and light integrated sensor.

[0052] It should be understood that the physiological-phenotypic information of tomatoes can be obtained through the whole plant image, leaf characteristics and spectral information, so as to more accurately judge the growth status of the tomato plants to be monitored, including the growth period, nutritional status and symptoms of diseases and pests, etc., by combining the physiological-phenotypic information.

[0053] S2, determining the growth period of the tomato plant to be detected according to the whole plant image data, and determining the saturated water vapor pressure difference according to the growth environment data; determining the target irrigation amount of the tomato plant based on the growth period, saturated water vapor pressure difference and irrigation amount application rules.

[0054] Among them, the growth period of tomato plants generally includes the seedling stage, flowering and fruiting stage, and fruiting stage.

[0055] It should be understood that the seedling stage is from the planting of tomato seedlings to the setting of the first fruit; the flowering and fruiting stage is from the first fruit setting stage to the first fruit ripening stage, and the fruiting stage is from the first fruit ripening stage to the time when all fruits are harvested and the crop is uprooted.

[0056] For example, the front RGB camera can detect the state of the fruit of the plant within the visual range and judge the growth period of the plant. From the time the tomato seedlings are transplanted to the field to the time when the fruit of the plant is detected to have blossomed and set fruit within the visual range of the camera, it is the seedling stage of the plant. From the time when the fruit setting of the plant is detected to the time when the machine vision detects that the first fruit has reached the maturity standard, this stage is the flowering and fruit setting stage. After that, it is the fruiting stage. Figure 2 A schematic diagram of a result period provided by an embodiment of the present invention.

[0057] It should be understood that the saturated water vapor pressure difference (VPD) changes with the relative humidity and temperature of the air. It is a physical quantity that characterizes the degree of atmospheric drought, affects the closure of plant stomata, and thus controls physiological processes such as plant transpiration and photosynthesis. It has a significant impact on the movement and transpiration of water in plants. As the temperature rises and the relative humidity of the air decreases, the VPD will increase sharply, resulting in an increase in the evaporation demand of the plant. Therefore, the present invention uses the VPD index of the environment as a decision factor for irrigation of greenhouse tomato plants to determine the optimal irrigation amount for tomato plants. The calculation method of VPD is as follows:

[0058]

[0059] Among them, RH represents the relative humidity of air, T represents the temperature, and e represents the natural exponential function, that is, the power function of e.

[0060] Since tomato plants have different basic water requirements at different growth stages, after determining the growth period of the tomato plants to be monitored and the VPD in the environment, the target irrigation amount for the tomato plants is determined based on the growth period, saturated water vapor pressure difference and irrigation amount rules, as shown in Table 1.

[0061] Table 1 Irrigation rules under different growth periods and saturated water vapor pressure differences

[0062]

[0063] It should be understood that Table 1 is an example of an irrigation rule, which is the best recommended irrigation amount for tomato plants obtained by K-means clustering data analysis based on the data of the impact of irrigation amount on the comprehensive growth of plants under different growth periods and different environmental parameters in the laboratory. Those skilled in the art can also adjust the irrigation amount corresponding to different water vapor pressure differences in different growth periods based on actual water research. It should be understood that if the leaves of the plants wilt due to extreme weather, the irrigation amount should be supplemented appropriately. Under normal conditions, the irrigation amount can be determined according to the rules in Table 1.

[0064] S3, input leaf features and spectral information into the pre-trained model to identify the nutritional status, pest and disease types, and severity of pests and diseases of the tomato plants to be monitored.

[0065] It should be understood that in this embodiment, the model is a convolutional neural network. In the early stage of the present invention, the convolutional neural network is trained based on a large number of RGB images of tomato plants and a hyperspectral database, so that the model can identify the nutritional status of tomato plants (such as nitrogen, phosphorus and potassium deficiency or excess), the type and severity of pests and diseases according to leaf characteristics and spectral information.

[0066] Figure 3 The phenotypic characteristics of canopy leaves of a tomato plant under different element deficiency and excess conditions provided by an embodiment of the present invention are shown in FIG. Figure 3 The leaf phenotypes of tomato plants containing 0%, 40%, 80% and 140% nitrogen, phosphorus and potassium are shown respectively.

[0067] S4, determine the target nutrient solution application plan based on the nutritional status and nutrient solution application rules; determine the target pesticide application plan based on the type of pests and diseases, the severity of pests and diseases, the growth period and the pesticide application rules.

[0068] The target nutrient solution application scheme includes the type of nutrient solution and the corresponding concentration. In the present invention, the nutrient solution application rules are preset, as shown in Table 2.

[0069] Table 2 Nutrient solution types and concentrations corresponding to different nutritional conditions (mL / L)

[0070] It should be understood that if the model identifies that the nutritional status of the monitored tomato plants is normal, fertilizer will be applied according to the normal nutrient solution concentration. The amount used can be determined according to the type of nutrient solution. Taking Yamazaki nutrient solution as an example, the basic application amount in the three growth periods of greenhouse tomatoes (seedling stage, flowering and fruiting stage, and fruiting stage) is 1L\2L\3L respectively. In addition, if rain is detected, no fertilization or irrigation will be performed.

[0071] At the same time, the target pesticide application plan is determined based on the identified types of pests and diseases, the severity of pests and diseases, the growth period and the pesticide application rules, as shown in Table 3, where the target pesticide application plan includes the type of pesticide, the corresponding concentration, the amount of pesticide application and the frequency of pesticide application.

[0072] Table 3 Pesticide application rules corresponding to different pest and disease types, pest and disease severity and growth period.

[0073]

[0074]

[0075] By using the pesticide application rules in Table 3, the type of pesticide, the corresponding concentration, the amount of pesticide applied and the frequency of pesticide application can be quickly determined, so as to prepare and apply the pesticide.

[0076] In the above embodiment, since tomato plants at different growth stages have different requirements for water, fertilizer and medicine, the present invention can more reasonably determine the application plan of water, fertilizer and medicine by combining the growth stage and leaf physiological-phenotypic information, thereby improving the yield and quality of tomato plants.

[0077] As shown in Table 3, common pests and diseases include gray mold, late blight, early blight and leaf mold.

[0078] If tomato plants are infected with gray mold at the seedling stage, the tips of the cotyledons turn yellow and then spread to the young stems, producing brown to dark brown lesions. The diseased parts are constricted, broken or upright. When the humidity is high, a dense gray mold layer will grow on the surface of the diseased parts, which are the conidiophores and conidia of the pathogen. Figure 4 As shown, Figure 4 A phenotypic characteristic diagram of canopy leaves of a tomato plant infected with gray mold provided in an embodiment of the present invention.

[0079] If tomato plants are infected with late blight, dark green water-soaked spots will appear on the leaves during the seedling stage, the petioles will rot, and the diseased parts will be dark brown. When the humidity in the space is high, a sparse white mold layer will form on the edges of the spots. As the spots expand, the leaves will gradually wither and die. The base of the young stems will be water-soaked and constricted, causing the seedlings to wilt or fall over. During the adult stage, the disease often starts from the lower leaves. Water-soaked light green spots will appear on the surface of the leaves, gradually turning brown. When the air humidity is high, a sparse white mold layer will form on the edges of the spots on the back of the leaves. The spots on the stems and petioles are water-soaked, brown, and sunken, and finally turn dark brown and gradually rot, causing the plants to wilt. The spots on the fruit sometimes have irregular cloud patterns, which are dark green and oily at first, then turn dark brown to tan, with obvious edges and slightly sunken. The fruit has a hard texture and does not soften. Under humid conditions, the spots will have a small amount of white mold, such as Figure 5 As shown, Figure 5 A phenotypic characteristic diagram of canopy leaves of a tomato plant infected with late blight is provided in an embodiment of the present invention.

[0080] If tomato plants are infected with early blight, the infected stems will turn dark brown during the seedling stage. When leaves of mature plants are infected, the disease initially appears as black spots the size of a needle tip, which then develop into continuously expanding dark brown rings with light green or yellow halos. Concentric rings appear in the middle, and burrs grow on the surface of the rings. Under humid conditions, brown mold grows on the diseased areas. Some varieties have yellow-green halos around the lesions. The fusion of multiple lesions causes the leaves to turn yellow and dry. The disease mostly occurs on the stems at the branches, producing brown to dark brown irregular or oval lesions that are slightly concave and have gray-black mold on the surface. When green fruits are infected, it starts near the calyx, initially appearing as oval or irregular brown or black spots that are concave and have concentric rings. In the later stage, the surface of the diseased area is densely covered with a black mold layer, which is the conidiophores and conidia of Alternaria solanacea. Figure 6 As shown, Figure 6 A phenotypic characteristic diagram of canopy leaves of a tomato plant infected with early blight is provided in an embodiment of the present invention.

[0081] If tomato plants are infected with leaf mold, irregular or oval light yellow chlorotic spots with unclear edges will appear on the front of the leaves in the early stage, and a dense gray to dark brown mold layer will appear on the back of the leaves, which will later turn into purple-gray or dark gray to black or yellow-brown; when the humidity is high, mold may also grow on the spots on the surface of the leaves. As the disease spreads, the leaves gradually curl from bottom to top, and the lower leaves of the diseased plants become infected, and then gradually spread upward, causing the entire plant's leaves to turn yellow-brown and dry. When the disease is severe, it can cause the entire plant's leaves to curl. Diseased flowers often die before fruit setting. The symptoms of stem infection are often similar to those of stem infection. When the fruit is infected, round to irregular dark brown patches will appear near the fruit stalk or on the fruit surface, which will harden and become sunken, such as Figure 7 As shown, Figure 7 A phenotypic characteristic diagram of canopy leaves of a tomato plant infected with leaf mold provided by the present invention.

[0082] It can be seen that leaves of different types of pests and diseases will show different characteristics. Therefore, through preliminary training, the model can identify the type and severity of pests and diseases based on leaf characteristics and spectral information.

[0083] S5, controlling the integrated water-fertilizer-pesticide machine to modulate water-fertilizer-pesticide according to the target irrigation volume, the target nutrient solution application plan and the target pesticide application plan, and applying the modulated mixed solution to the monitored tomato plants.

[0084] One possible implementation method is to directly control the integrated water-fertilizer-pesticide machine to modulate water, fertilizer and pesticide according to the target irrigation amount, the target nutrient solution application plan and the target pesticide application plan, and apply the modulated mixed solution. Another possible implementation method is to generate water-fertilizer-pesticide recommendations based on the target irrigation amount, the target nutrient solution application plan and the target pesticide application plan; send the water-fertilizer-pesticide recommendations to the user terminal and receive the user's water-fertilizer-pesticide instructions; control the integrated water-fertilizer machine to modulate water, fertilizer and pesticide according to the water-fertilizer-pesticide instructions, and apply the modulated mixed solution to the monitored tomato plants.

[0085] In the above embodiment, water, fertilizer and pesticide recommendations are generated based on the target irrigation volume, target nutrient solution application plan and target pesticide application plan, and the water, fertilizer and pesticide recommendations are sent to the user terminal, so that the user can understand the nutritional needs and growth conditions of the tomato plants in real time, helping the user to achieve precision agricultural management.

[0086] In order to further improve the production and quality of tomato plants, the present invention can also regulate the growth environment of the tomato plants to be monitored according to the relative humidity and temperature of the air, the light intensity, the soil temperature of the soil where the tomato plants to be monitored grow, the soil moisture, the soil pH value and the soil EC value.

[0087] Specifically, the greenhouse is installed with an integrated temperature, humidity and light sensor and a soil sensor. The air relative humidity, temperature and light intensity can be obtained through the integrated temperature, humidity and light sensor, and the soil temperature, soil moisture, soil pH value and soil EC value of the soil where the tomato plants to be monitored grow can be obtained through the soil sensor.

[0088] Furthermore, the optimal growth environment is determined according to the growth stage of the tomato plant to be monitored. Specifically, the correspondence between different growth stages and the optimal growth environment can be determined in advance through experiments, and the optimal growth environment (including optimal air relative humidity, temperature, light intensity, soil temperature, soil moisture, soil pH value and soil EC value) is determined based on the correspondence, and environmental adjustments are performed based on the optimal growth environment.

[0089] Optionally, the present invention can also obtain image data of a tomato plant to be monitored within a preset historical time period (e.g., 1 month); predict the growth status and nutritional requirements of the tomato plant to be monitored within a future preset time period (e.g., 1 week) based on current image data and historical image data; and send the growth status and nutritional requirements of the tomato plant to be monitored to the user terminal. In this way, the user can understand the growth status of the plant in advance and adjust the water, fertilizer and pesticide application strategy according to the nutritional requirements.

[0090] Based on the same inventive concept, the embodiment of the present invention also provides a monitoring system for tomato plants, such as Figure 8 As shown, the system 800 includes:

[0091] The information acquisition module 810 is used to acquire image data and growth environment data of the tomato plant to be monitored, and the image data includes the whole plant image, leaf characteristics and spectral information.

[0092] The first determination module 820 is used to determine the growth period of the tomato plant to be detected based on the whole plant image, determine the saturated water vapor pressure difference of the environment based on the growth environment data; and determine the target irrigation amount of the tomato plant based on the growth period, saturated water vapor pressure difference and irrigation amount application rules.

[0093] The recognition module 830 is used to input the leaf features and spectral information into the pre-trained model to identify the nutritional status, pest and disease types, and severity of the pest and disease of the tomato plant to be monitored;

[0094] The second determination module 840 is used to determine the target nutrient solution application plan based on the nutritional status and the nutrient solution application rules; determine the target pesticide application plan based on the type of pests and diseases, the severity of the pests and diseases, the growth period and the pesticide application rules; wherein the target nutrient solution application plan includes the type of nutrient solution and the corresponding concentration, and the target pesticide application plan includes the type of pesticide, the corresponding concentration, the pesticide application amount and the pesticide application frequency.

[0095] The control module 850 is used to control the integrated water-fertilizer-pesticide machine to modulate water, fertilizer and pesticide according to the target irrigation volume, target nutrient solution application plan and target pesticide application plan, and to apply water, fertilizer and pesticide to the monitored tomato plants.

[0096] Optionally, the system further comprises a photovoltaic power generation module, which is composed of a photovoltaic panel and a battery and is used to supply power to various modules of the tomato plant monitoring system.

[0097] Next, combine Fig. 9 The system diagram in the figure describes in detail the monitoring system for tomato plants provided by the present invention. Fig. 9 A schematic structural diagram of another tomato plant monitoring system provided by an embodiment of the present invention.

[0098] For example, Fig. 9 As shown, the information acquisition module 810 includes a front RGB camera 1, a suspended RGB camera 2, a hyperspectral camera 3, an environmental temperature, humidity and light integrated sensor 4 and a soil sensor 5.

[0099] Among them, the front RGB camera 1 is installed in front of the tomato plant to collect the whole plant image of the tomato plant to determine the growth period of the tomato plant. The hanging RGB camera 2 is installed on the cable above the tomato plant, and can move according to the preset path to capture the leaf characteristics of the tomato plant. The hyperspectral camera 3 is set above the tomato plant to obtain the spectral information of the leaves. The front RGB camera 1 and the hanging RGB camera 2 can automatically adjust the shooting parameters and moving speed according to the lighting conditions and plant distribution in the greenhouse. The environmental temperature, humidity and light integrated sensor 4 is installed in the greenhouse to obtain the temperature, humidity and light intensity in the environment. The soil sensor 5 is installed in the soil where the tomato plant grows, and can obtain soil temperature, soil moisture, pH (Potential of Hydrogen) value and EC (Electrical Conductivity) value and other data.

[0100] The first determination module 820, the identification module 830, the second determination module 840 and the control module 850 are deployed on the cloud platform 6. The first determination module 820 can obtain the whole plant image collected by the front RGB camera 1 and the growth environment data collected by the environmental temperature, humidity and light integrated sensor 4 to determine the growth period of the tomato plant to be detected and the saturated water vapor pressure difference of the environment, thereby determining the target irrigation amount; the second determination module 840 can obtain the leaf features and spectral information collected by the hanging RGB camera 2 and the hyperspectral camera 3. The cloud platform is deployed with a pre-trained model. The identification module 830 inputs the leaf features and spectral information into the pre-trained model to identify the nutritional status, pest and disease types and severity of the tomato plant to be monitored, thereby determining the target nutrient solution application plan and the target pesticide application plan. The control module 850 controls the water, fertilizer and pesticide integrated machine 7 to modulate water, fertilizer and pesticide according to the target irrigation amount, the target nutrient solution application plan and the target pesticide application plan, and to apply to the tomato plant to be monitored.

[0101] At the same time, the control module 850 can also interact with the user terminal 8 (such as the WeChat applet), and can feed back the plant's growth status and water, fertilizer and pesticide recommendations to the mobile terminal 10, so that the user can understand the plant's growth status in real time and issue water, fertilizer and pesticide instructions.

[0102] Optionally, the user terminal can provide functions such as historical monitoring data query, water, fertilizer and pesticide application record query, and customized water, fertilizer and pesticide management plan. The WeChat applet interface is concise and clear, allowing users to view monitoring results and receive fertilization suggestions at any time. At the same time, it supports remote control function, allowing users to manage the greenhouse anytime and anywhere, improving user experience.

[0103] The photovoltaic power generation module is composed of a photovoltaic panel 9 and a battery 10. The photovoltaic panel 9 can convert solar energy into electrical energy, store the current in the battery 10, and provide electrical energy to the front RGB camera 1, the hanging RGB camera 2, and the hyperspectral camera 3 by magnetic attraction, thereby reducing the dependence on traditional energy and reducing the operating cost of the system. Optionally, in addition to charging by magnetic attraction, the embodiment of the present invention can also provide electrical energy for charging the front RGB camera 1, the hanging RGB camera 2, and the hyperspectral camera 3 by AC charging and wireless charging.

[0104] Optionally, the tomato plant monitoring system also includes a communication module, which is deployed in the 5G base station 11 and can provide a 5G network for the transmission and data processing of image data and growth environment data, thereby realizing real-time data transmission and high-speed processing.

[0105] Each module in the above-mentioned tomato plant monitoring system can be implemented in whole or in part by software, hardware or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[0106] The present invention also provides a computer device, including a memory, a processor and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps in the tomato plant monitoring method embodiment. The specific implementation method can be found in the method embodiment, which will not be repeated here.

[0107] Furthermore, the present invention also provides a non-temporary computer-readable storage medium containing instructions, and a computer program is stored on the storage medium. For example, a memory containing instructions, the above instructions can be executed by a processor of a computer device to complete the above method. For example, the non-temporary computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device. When the computer program is executed by the processor, the steps in the embodiment of the monitoring method of tomato plants can be implemented. The specific implementation method can be found in the method embodiment, which will not be repeated here.

[0108] It will be appreciated by those skilled in the art that embodiments of the present invention may provide methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present invention may take 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 code.

[0109] The present invention is described with reference to flowcharts and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as a combination of processes and / or blocks 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 produce 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.

[0110] 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.

[0111] 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.

[0112] It should be pointed out that the specific implementation methods described above can enable those skilled in the art to understand the invention more comprehensively, but do not limit the invention in any way. Therefore, although the invention has been described in detail in this specification and embodiments, those skilled in the art should understand that the invention can still be modified or replaced by equivalents; and all technical solutions and improvements that do not deviate from the spirit and scope of the invention are included in the protection scope of the invention. Any figure mark in the claims should not be regarded as limiting the claims involved. Any simple change or equivalent replacement of the technical solution that can be obviously obtained by any technician familiar with the field within the technical scope disclosed in the present invention belongs to the protection scope of the present invention.

Claims

1. A method for monitoring tomato plants, characterized in that: include: Obtain image data and growth environment data of the tomato plant to be monitored, the image data including the whole plant image, leaf features and spectral information; Determine the growth period of the tomato plant to be tested based on the whole plant image, and determine the saturated water vapor pressure difference of the environment based on the growth environment data; determine the target irrigation amount of the tomato plant based on the growth period, saturated water vapor pressure difference and irrigation amount application rules; The leaf features and spectral information are input into the pre-trained model to identify the nutritional status, pest and disease types, and severity of the pests and diseases of the tomato plants to be monitored; Determine the target nutrient solution application plan based on the nutritional status and nutrient solution application rules; determine the target pesticide application plan based on the type of pests and diseases, the severity of the pests and diseases, the growth period and the pesticide application rules; wherein the target nutrient solution application plan includes the type of nutrient solution and the corresponding concentration, and the target pesticide application plan includes the type of pesticide, the corresponding concentration, the amount of pesticide application and the frequency of pesticide application; The integrated water-fertilizer-pesticide machine is controlled to modulate water, fertilizer and pesticide according to the target irrigation volume, target nutrient solution application plan and target pesticide application plan, and the modulated mixed solution is applied to the monitored tomato plants.

2. The method for monitoring tomato plants according to claim 1, characterized in that: The growth environment data include relative humidity and temperature of the air, and the saturated water vapor pressure difference is: Wherein, RH represents the relative humidity of air, T represents the temperature, and e represents the natural exponential function.

3. The method for monitoring tomato plants according to claim 2, characterized in that: The growth environment data also includes light intensity, soil temperature, soil moisture, soil pH and soil EC value of the soil where the monitored tomato plants grow, as well as: The growth environment of the tomato plants to be monitored is regulated according to the relative humidity and temperature of the air, the light intensity, the soil temperature of the soil where the tomato plants to be monitored grow, the soil moisture, the soil pH value and the soil EC value.

4. The method for monitoring tomato plants according to any one of claims 1 to 3, characterized in that: The integrated water, fertilizer and pesticide machine is controlled to adjust water, fertilizer and pesticide according to the target irrigation volume, target nutrient solution application plan and target pesticide application plan, and the adjusted mixed solution is applied to the monitored tomato plants, including: Generate water, fertilizer and pesticide recommendations based on target irrigation volume, target nutrient solution application plan and target pesticide application plan; Send water, fertilizer and medicine recommendations to the user terminal and receive water, fertilizer and medicine instructions from the user; The water-fertilizer-in-one machine is controlled to modulate water, fertilizer and medicine according to the water-fertilizer-medicine instructions, and the modulated mixed liquid medicine is applied to the monitored tomato plants.

5. The method for monitoring tomato plants according to any one of claims 1 to 3, characterized in that: Also includes: Obtain image data of the tomato plant to be monitored within a preset historical time period; Predicting the growth status and nutritional requirements of the tomato plants to be monitored within a preset time period in the future based on current image data and historical image data; The growth status and nutritional requirements of the tomato plants to be monitored are sent to the user terminal.

6. A monitoring system for tomato plants, characterized in that: include: An information acquisition module is used to acquire image data and growth environment data of the tomato plant to be monitored, wherein the image data includes the whole plant image, leaf characteristics and spectral information; The first determination module is used to determine the growth period of the tomato plant to be detected based on the whole plant image, determine the saturated water vapor pressure difference of the environment based on the growth environment data; determine the target irrigation amount of the tomato plant based on the growth period, saturated water vapor pressure difference and irrigation amount application rules; The recognition module is used to input leaf features and spectral information into the pre-trained model to identify the nutritional status, pest and disease types, and severity of pests and diseases of the tomato plants to be monitored; The second determination module is used to determine the target nutrient solution application scheme based on the nutritional status and the nutrient solution application rules; determine the target pesticide application scheme based on the type of pests and diseases, the severity of the pests and diseases, the growth period and the pesticide application rules; wherein the target nutrient solution application scheme includes the type of nutrient solution and the corresponding concentration, and the target pesticide application scheme includes the type of pesticide, the corresponding concentration, the pesticide application amount and the pesticide application frequency; The control module is used to control the integrated water-fertilizer-pesticide machine to modulate water, fertilizer and pesticide according to the target irrigation volume, target nutrient solution application plan and target pesticide application plan, and apply the modulated mixed solution to the monitored tomato plants.

7. The tomato plant monitoring system according to claim 6, characterized in that: Also includes: Photovoltaic power generation module, used to power various modules of the tomato plant monitoring system.

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