A method and system for monitoring a tomato plant

Abstract

The application provides a monitoring method and system for a tomato plant, comprising: acquiring image data and growth environment data of a tomato plant to be monitored; determining a growth period of the tomato plant to be monitored according to a whole plant image, and determining a saturated water vapor pressure difference of the environment according to the growth environment data; determining a target irrigation water amount of the tomato plant based on the growth period, the saturated water vapor pressure difference and an irrigation water amount application rule; identifying a nutrition condition, a pest and disease type and a pest and disease severity of the tomato plant to be monitored according to leaf characteristics and spectral information; determining a target nutrient solution application scheme based on the nutrition condition and a nutrient solution application rule; determining a target pesticide application scheme based on the pest and disease type, the pest and disease severity, the growth period and a pesticide application rule; and controlling a water, fertilizer and pesticide integrated machine to perform water, fertilizer and pesticide modulation and application according to the target irrigation water amount, the target nutrient solution application scheme and the target pesticide application scheme. The method can monitor the tomato plant in real time and supply water, fertilizer and pesticide, thereby improving yield and quality.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of agriculture, and particularly relates to a monitoring method and system for tomato plants. BACKGROUND

[0002] In the planting process of tomato plants, the supply of water, nutrients and pesticides directly affects the yield and quality of the plants. At present, the growth conditions and pest conditions of tomato plants are mainly identified through artificial inspection, and then the supply of water, fertilizer and pesticide of the tomato plants is carried out according to personal experience. Since artificial inspection cannot timely perform the application of water, fertilizer and pesticide, and the application amount of water, fertilizer and pesticide is subject to the subjective influence of different cultivators, the efficiency and accuracy of the supply of water, fertilizer and pesticide are low, resulting in low yield and quality of the tomato plants. SUMMARY

[0003] In order to solve the problems of low efficiency and low accuracy of the supply of water, fertilizer and pesticide in the planting process of tomato plants, the application provides a monitoring method and system for tomato plants.

[0004] In order to achieve the above-mentioned purpose, the application provides the following technical scheme:

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

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

[0007] determining the growth period of the tomato plant to be detected according to the whole plant image, determining the saturated water vapor pressure difference of the environment according to the growth environment data, and determining the target irrigation amount of the tomato plant based on the growth period, the saturated water vapor pressure difference and the irrigation amount application rule;

[0008] inputting the leaf features and the spectral information into a pre-trained model to identify the nutrient condition, the pest species and the pest severity of the tomato plant to be monitored;

[0009] determining a target nutrient liquid application scheme based on the nutrient condition and a nutrient liquid application rule, and determining a target pesticide application scheme based on the pest species, the pest severity, the growth period and a pesticide application rule; wherein the target nutrient liquid application scheme includes the type and corresponding concentration of the nutrient liquid, and the target pesticide application scheme includes the type, corresponding concentration, application amount and application frequency of the pesticide;

[0010] controlling a water, fertilizer and pesticide integrated machine to perform water, fertilizer and pesticide preparation according to the target irrigation amount, the target nutrient liquid application scheme and the target pesticide application scheme, and applying the prepared mixed pesticide to the tomato plant to be monitored.

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

[0012]

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

[0014] Optionally, the growth environment data further comprises the light intensity, the soil temperature, the soil humidity, the soil pH value and the soil EC value of the soil in which the tomato plant to be monitored grows, and further comprises:

[0015] The growth environment of the tomato plant to be monitored is regulated according to the relative humidity of the air and the temperature, the light intensity, the soil temperature, the soil humidity, the soil pH value and the soil EC value of the soil in which the tomato plant to be monitored grows.

[0016] Optionally, the water, fertilizer and pesticide integrated machine is controlled to perform water, fertilizer and pesticide modulation according to the target irrigation amount, the target nutrient solution application scheme and the target pesticide application scheme, and the mixed liquid after modulation is applied to the tomato plant to be monitored, comprising:

[0017] The water, fertilizer and pesticide suggestion is generated according to the target irrigation amount, the target nutrient solution application scheme and the target pesticide application scheme;

[0018] The water, fertilizer and pesticide suggestion is sent to the user terminal and the water, fertilizer and pesticide instruction of the user is received;

[0019] The water, fertilizer and pesticide integrated machine is controlled to perform water, fertilizer and pesticide modulation according to the water, fertilizer and pesticide instruction, and the mixed liquid after modulation is applied to the tomato plant to be monitored.

[0020] Optionally, it further comprises:

[0021] Image data of the tomato plant to be monitored in a preset historical time period is acquired;

[0022] The growth condition and the nutrient demand of the tomato plant to be monitored in a future preset time period are predicted according to the current image data and the historical image data;

[0023] The growth condition and the nutrient demand of the tomato plant to be monitored are sent to the user terminal.

[0024] The application further provides a monitoring system for a tomato plant, comprising:

[0025] An information acquisition module is configured to acquire image data and growth environment data of the tomato plant to be monitored, wherein the image data comprises whole-plant images, leaf features and spectral information;

[0026] A first determination module is configured to determine the growth period of the tomato plant to be monitored according to the whole-plant images, determine the saturated vapor pressure difference of the environment according to the growth environment data, and determine the target irrigation amount of the tomato plant based on the growth period, the saturated vapor pressure difference and an irrigation amount application rule.

[0027] The identification module is configured to input the leaf feature and the spectrum information into a pre-trained model to identify the nutrition condition, the pest and disease type, and the pest and disease severity of the tomato plant to be monitored.

[0028] The second determination module is configured to determine a target nutrient solution application scheme based on the nutrition condition and a nutrient solution application rule, and determine a target pesticide application scheme based on the pest and disease type, the pest and disease severity, the growth period, and a pesticide application rule.

[0029] The control module is configured to control the water, fertilizer and pesticide integrated machine to modulate the water, fertilizer and pesticide according to the target irrigation amount, the target nutrient solution application scheme and the target pesticide application scheme, and apply the mixed pesticide solution to the tomato plant to be monitored.

[0030] Optionally, the monitoring system of the tomato plant further comprises:

[0031] The photovoltaic power generation module is configured to supply power to each module of the monitoring system of the tomato plant.

[0032] The monitoring method of the tomato plant provided by the present application has the following advantages:

[0033] In the present application, the image data and the growth environment data of the tomato plant to be monitored are acquired in real time, the target irrigation amount, the type and corresponding concentration of the nutrient solution, the type and corresponding concentration of the pesticide, the pesticide application amount and the pesticide application frequency of the tomato plant are determined according to the image data and the growth environment data, and the water, fertilizer and pesticide integrated machine is controlled to modulate the water, fertilizer and pesticide according to the target irrigation amount, the type and corresponding concentration of the nutrient solution, the type and corresponding concentration of the pesticide, the pesticide application amount and the pesticide application frequency, and the mixed pesticide solution is applied to the tomato plant to be monitored. The whole monitoring process does not require manual intervention, realizes automatic monitoring of the growth condition of the tomato plant, determines the type and amount of the water, fertilizer and pesticide that meet the growth condition of the tomato plant to be monitored at present through the image data and the growth environment data, realizes reasonable configuration of the water, fertilizer and pesticide, improves the efficiency and accuracy of the water, fertilizer and pesticide supply, and thus improves the yield and quality of the tomato plant. BRIEF DESCRIPTION OF DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present application and the design scheme thereof, the drawings required by the present embodiments will be briefly introduced as follows. The drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0035] Figure 1 A schematic flowchart of a monitoring method of a tomato plant provided by the present embodiment;

[0036] Figure 2 A result period schematic diagram provided for an embodiment of the present application;

[0037] Figure 3 A tomato plant canopy leaf phenotype characteristic diagram under different element deficiency and excess conditions provided for an embodiment of the present application;

[0038] Figure 4 A tomato plant canopy leaf phenotype characteristic diagram infected with gray mold provided for an embodiment of the present application;

[0039] Figure 5 A tomato plant canopy leaf phenotype characteristic diagram infected with late blight provided for an embodiment of the present application;

[0040] Figure 6 A tomato plant canopy leaf phenotype characteristic diagram infected with early blight provided for an embodiment of the present application;

[0041] Figure 7 A tomato plant canopy leaf phenotype characteristic diagram infected with leaf mildew provided for the present application;

[0042] Figure 8 A structural schematic diagram of a monitoring system of a tomato plant provided for an embodiment of the present application;

[0043] Figure 9 A structural schematic diagram of another monitoring system of a tomato plant provided for an embodiment of the present application.

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

[0045] In order to make those skilled in the art better understand the technical solutions of the present application and can be implemented, the present application will be described in detail below in conjunction with the drawings and specific embodiments. The following embodiments are only used to more clearly illustrate the technical solutions of the present application, and cannot limit the protection scope of the present application.

[0046] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the technical solution of this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0047] Furthermore, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance. In the description of this invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "connected" or "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances. In the description of this invention, unless otherwise stated, "a plurality of" means two or more, which will not be elaborated further here.

[0048] This invention addresses the problem of low efficiency and accuracy in the supply of water, fertilizer, and pesticides to tomato plants in existing technologies, leading to low yield and quality. It proposes a method for monitoring tomato plants, such as... Figure 1 As shown, Figure 1 This is a schematic flowchart illustrating a method for monitoring tomato plants according to an embodiment of the present invention. The method includes the following steps:

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

[0050] The image data includes whole-plant images of the tomato plant to be monitored, leaf characteristics, and spectral information. The growth environment data may include relative humidity and temperature, light intensity, soil temperature, soil moisture, soil pH, and soil EC value of the soil in which the tomato plant is growing.

[0051] Optionally, a whole image of the tomato plant to be monitored can be obtained through a front-facing RGB camera, leaf features can be obtained through an RGB camera suspended above the tomato plant, spectral information can be obtained through a hyperspectral camera, and data such as relative humidity and temperature, light intensity, soil temperature, soil moisture, soil pH and soil EC value of the soil in which the tomato plant to be monitored is obtained through an integrated environmental temperature, humidity and light sensor.

[0052] It should be understood that the physiological-phenotypic information of the tomato can be obtained through the whole plant image, leaf features and spectral information, so as to more accurately determine the growth condition of the tomato plant to be monitored in combination with the physiological-phenotypic information, including the growth period, the nutritional condition and the disease and pest symptom and the like.

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

[0054] The growth period of the tomato plant generally includes the seedling stage, the flowering and fruit setting stage and the fruiting stage.

[0055] It should be understood that the tomato seedling is planted to the first fruit setting as the seedling stage, the first fruit setting period to the first fruit maturation period as the flowering and fruit setting stage, and the first fruit maturation period to the crop being uprooted after all fruits are harvested as the fruiting stage.

[0056] Exemplarily, the plant fruit state in the visual range can be detected and the growth period of the plant can be determined through the preposed RGB camera. From the tomato seedling being transplanted to the field to the camera visual range having the plant fruit detection to the flowering and fruit setting completion, the seedling stage of the plant is determined. From the detection of the plant fruit setting to the first fruit reaching the maturation standard in the machine vision detection, the flowering and fruit setting stage is determined. Thereafter, the fruiting stage is determined. Figure 2 A schematic diagram of the fruiting stage is provided for the embodiment of the present application.

[0057] It should be understood that the saturated water vapor pressure difference (Vapor Pressure Deficit, VPD) changes with the change of the air relative humidity and the air temperature, is a physical quantity representing the degree of atmospheric drought, affects the closure of the plant stomata, thereby controlling the physiological processes such as the plant transpiration and photosynthesis, and has a significant influence on the water movement and transpiration of the plant. With the increase of the air temperature and the decrease of the air relative humidity, the VPD sharply increases, thereby causing the increase of the plant evaporation demand. Therefore, the VPD index of the environment is taken as the greenhouse tomato plant irrigation decision factor to determine the optimal irrigation amount of the tomato plant. The calculation method of the VPD is as follows:

[0058]

[0059] Wherein, RH represents the air relative humidity, T represents the air temperature, and e represents the natural exponential function, i.e. the power function of e.

[0060] Since the basic water demand of the tomato plant is different in different growth periods, after the growth period of the tomato plant to be monitored and the VPD in the environment are determined, the target irrigation amount of the tomato plant is determined according to the growth period and the saturated water vapor pressure difference and the irrigation amount rule, 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 obtained by K-means clustering data analysis of the influence of irrigation amount on plant comprehensive growth 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 growth periods and different water vapor pressure differences according to actual water research. It should be understood that if the plant leaf wilting and other conditions caused by extreme weather occur, the irrigation amount can be appropriately supplemented, and under normal conditions, the irrigation amount can be determined according to the rules in Table 1.

[0064] S3, inputting the leaf features and spectral information into the pre-trained model to identify the nutrition status, pest and disease type, and pest and disease severity of the tomato plant to be monitored.

[0065] It should be understood that in the embodiment, the model is a convolutional neural network. The present application trains the convolutional neural network based on a large number of tomato plant RGB images and hyperspectral databases in the early stage, so that the model can identify the nutrition status (such as nitrogen, phosphorus and potassium deficiency or excess) of the tomato plant, the pest and disease type, and the severity according to the leaf features and spectral information.

[0066] Figure 3 A phenotypic feature map of tomato plant canopy leaves under different element deficiency and excess conditions is provided for the embodiment of the present application. Exemplarily, Figure 3 The tomato plant leaves containing 0%, 40%, 80% and 140% nitrogen, phosphorus and potassium are respectively shown.

[0067] S4, determining a target nutrient solution application scheme based on the nutrition status and the nutrient solution application rule, and determining a target pesticide application scheme based on the pest and disease type, the pest and disease severity, the growth period and the pesticide application rule.

[0068] The target nutrient solution application scheme includes the type and corresponding concentration of the nutrient solution. In the present application, the nutrient solution application rule is pre-set, as shown in Table 2.

[0069] Table 2 Nutrient solution type and concentration (mL / L) corresponding to different nutrition statuses

[0070] It should be understood that if the model identifies that the nutrition status of the tomato plant to be monitored is normal, fertilization is carried out according to the normal nutrient solution concentration, and the amount of use can be determined according to the type of nutrient solution. For example, in the case of Yamazaki nutrient solution, the basic application amount in the three periods of greenhouse tomato growth (seedling stage, flowering and fruiting stage, and fruiting stage) is 1L, 2L and 3L respectively. In addition, if it is identified that it is raining, no fertilization and irrigation is carried out.

[0071] At the same time, based on the identified pest species, pest severity, growth stage and pesticide application rule, the target pesticide application scheme is determined, as shown in Table 3, wherein the target pesticide application scheme includes the type of pesticide, the corresponding concentration, the pesticide application amount and the pesticide application frequency.

[0072] Table 3 Pesticide application rules corresponding to different pest species, pest severity and growth stage.

[0073]

[0074]

[0075] Through the pesticide application rules in Table 3, the type of pesticide, the corresponding concentration, the pesticide application amount and the pesticide application frequency can be quickly determined, so as to carry out pesticide deployment and application.

[0076] In the above embodiment, since the demand for water, fertilizer and pesticide of tomato plants in different growth stages is different, the present application can more reasonably determine the application scheme of water, fertilizer and pesticide by combining the growth stage and leaf physiological-phenotypic information, and improve the yield and quality of tomato plants.

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

[0078] If the tomato plant seedling stage is infected with gray mold, the cotyledon tip turns yellow and then spreads to the young stem, producing brown to dark brown lesions, the disease part is constricted, broken or straight, and when the humidity is large, the disease part produces a dense gray mold layer on the surface, that is, the conidial phialide and conidium of the pathogen, as shown in Figure 4 Figure 4 A tomato plant canopy leaf infection gray mold phenotypic feature map is provided for the embodiment of the present application.

[0079] ​If the tomato plant is infected with late blight, dark green water-logged lesions appear on the leaves of seedling stage, and the petiole rots, with black-brown disease parts. When the space humidity is large, sparse white mold layer appears on the edge of the lesion, and the leaf gradually withers after the lesion expands. The base of the young stem is water-logged and constricted, causing the seedling to wilt or lodge. At the adult stage, the disease often starts from the lower leaves, and water-logged light green lesions appear on the leaf surface, which gradually turn brown. When the air humidity is large, sparse white mold layer appears on the edge of the lesion on the back of the leaf. The lesions on the stem and petiole are water-logged, brown, concave, and finally turn black-brown, gradually rotting and causing the plant to wilt. The lesions on the fruit sometimes have irregular cloud patterns, initially dark green oil stains, then dark brown to brown, with obvious edges and slight concave. The fruit is hard and does not soften, and under humid conditions, the lesion grows a small amount of white mold, as shown in Figure 5 . Figure 5 A tomato plant canopy leaf infection late blight phenotype characteristic diagram provided by the embodiment of the present application.

[0080] If the tomato plant is infected with early blight, the stem of the seedling stage becomes black-brown. The leaves of the adult plant are diseased, and the initial disease is a black spot the size of a needle tip, which develops into a continuously expanding black-brown ring with a light green or yellow halo. The middle part has concentric rings, and the surface of the ring has hair-like structures. Under humid conditions, brown mold grows on the disease part. A yellow-green halo appears around the lesion of some varieties, and multiple lesions merge to cause the leaf to turn yellow and wither. The stem often occurs at the branch, producing irregular or elliptical brown to dark brown lesions, slightly concave, with gray-black mold on the surface. After the green fruit is diseased, it starts near the calyx, initially appearing as an elliptical or irregular brown or black spot, which is concave and has concentric rings. The surface of the disease part is covered with a dense black mold layer, i.e. the conidia of Alternaria solani, as shown in Figure 6 . Figure 6 A tomato plant canopy leaf infection early blight phenotype characteristic diagram provided by the embodiment of the present application.

[0081] If the tomato plant is infected with leaf mold, the initial irregular or elliptical light yellow faded green spots appear on the front of the leaf, with no obvious edges. The back of the leaf appears a gray-white to black-brown dense mold layer, which turns purple-gray or dark gray to black or yellow-brown in the later stage. When the humidity is high, the lesion on the surface of the leaf can also grow a mold layer. As the disease spreads, the leaf gradually curls from the bottom up, and the lower leaves of the diseased plant gradually spread upwards, causing the whole leaf to turn yellow and wither. When the disease is severe, it can cause the whole leaf to curl. Diseased flowers often die before fruiting. The stem disease symptoms are similar to those of the leaf. The fruit is diseased, and a circular to irregular black-brown spot appears near the fruit stem or on the fruit surface, which is hardened and concave, as shown in Figure 7 . Figure 7 A tomato plant canopy leaf infection leaf mold phenotype characteristic diagram provided by the embodiment of the present application.

[0082] It can be seen that different types of pests and diseases will cause different characteristics of the leaves, and therefore the model can identify the types and severity of the pests and diseases according to the leaf characteristics and spectral information through the previous training.

[0083] S5, controlling the water, fertilizer and pesticide all-in-one machine to perform water, fertilizer and pesticide preparation according to the target irrigation amount, the target nutrient solution application scheme and the target pesticide application scheme, and applying the prepared mixed pesticide solution to the tomato plant to be monitored.

[0084] In one possible implementation, the water, fertilizer and pesticide all-in-one machine is directly controlled to perform water, fertilizer and pesticide preparation according to the target irrigation amount, the target nutrient solution application scheme and the target pesticide application scheme, and to apply the prepared mixed pesticide solution. In another possible implementation, a water, fertilizer and pesticide suggestion is generated according to the target irrigation amount, the target nutrient solution application scheme and the target pesticide application scheme, the water, fertilizer and pesticide suggestion is sent to a user terminal and a water, fertilizer and pesticide instruction of the user is received, and the water, fertilizer and pesticide all-in-one machine is controlled to perform water, fertilizer and pesticide preparation according to the water, fertilizer and pesticide instruction, and to apply the prepared mixed pesticide solution to the tomato plant to be monitored.

[0085] In the above embodiment, the water, fertilizer and pesticide suggestion is generated according to the target irrigation amount, the target nutrient solution application scheme and the target pesticide application scheme, and is sent to the user terminal, so that the user can know the nutrient demand and growth condition of the tomato plant in real time, and the user can realize precision agricultural management.

[0086] To further improve the yield and quality of the tomato plant, the growth environment of the tomato plant to be monitored can also be regulated according to the air relative humidity and temperature, the light intensity, the soil temperature, the soil humidity, the soil pH value and the soil EC value of the growth soil of the tomato plant to be monitored.

[0087] Specifically, an environment temperature, humidity and light integrated sensor and a soil sensor are installed in the greenhouse, the air relative humidity, the temperature and the light intensity can be obtained through the environment temperature, humidity and light integrated sensor, and the soil temperature, the soil humidity, the soil pH value and the soil EC value of the growth soil of the tomato plant to be monitored can be obtained through the soil sensor.

[0088] Further, the optimal growth environment can be determined according to the growth period of the tomato plant to be monitored, specifically, the correspondence between different growth periods and optimal growth environments can be determined through experiments in advance, the optimal growth environment (including the optimal air relative humidity, temperature, light intensity, soil temperature, soil humidity, soil pH value and soil EC value) can be determined based on the correspondence, and the environment can be regulated based on the optimal growth environment.

[0089] Optionally, the application can also acquire image data of the tomato plant to be monitored within a preset historical time period (e.g., 1 month); predict the growth condition and nutrient requirement of the tomato plant to be monitored within a future preset time period (e.g., 1 week) according to the current image data and the historical image data; and send the growth condition and nutrient requirement of the tomato plant to be monitored to the user terminal. In this way, the user can know the growth condition of the plant in advance and adjust the water, fertilizer and pesticide application strategy according to the nutrient requirement.

[0090] Based on the same inventive concept, the application also provides a tomato plant monitoring system, as shown in Figure 8 The system 800 includes:

[0091] An information acquisition module 810 is configured to acquire image data and growth environment data of the tomato plant to be monitored, wherein the image data includes whole plant images, leaf features and spectral information.

[0092] A first determination module 820 is configured to determine the growth period of the tomato plant to be monitored according to the whole plant images, determine the environmental saturated vapor pressure difference according to the growth environment data, and determine the target irrigation amount of the tomato plant based on the growth period, the saturated vapor pressure difference and the irrigation amount application rule.

[0093] An identification module 830 is configured to input the leaf features and the spectral information into a pre-trained model to identify the nutrient condition, the pest and disease type and the pest and disease severity of the tomato plant to be monitored.

[0094] A second determination module 840 is configured to determine a target nutrient liquid application scheme based on the nutrient condition and the nutrient liquid application rule, and determine a target pesticide application scheme based on the pest and disease type, the pest and disease severity, the growth period and the pesticide application rule; wherein the target nutrient liquid application scheme includes the type and corresponding concentration of the nutrient liquid, and the target pesticide application scheme includes the type, corresponding concentration, application amount and application frequency of the pesticide.

[0095] A control module 850 is configured to control a water, fertilizer and pesticide all-in-one machine to modulate water, fertilizer and pesticide according to the target irrigation amount, the target nutrient liquid application scheme and the target pesticide application scheme, and apply the water, fertilizer and pesticide to the tomato plant to be monitored.

[0096] Optionally, the system further includes a photovoltaic power generation module composed of a photovoltaic panel and a storage battery, which is configured to supply power to each module of the tomato plant monitoring system.

[0097] Next, the tomato plant monitoring system provided by the application will be described in detail in combination with the system diagram in Figure 9 , and Figure 9 is a structural schematic diagram of another tomato plant monitoring system provided by the application.

[0098] Exemplarily, asFigure 9 As shown, the information acquisition module 810 includes a front RGB camera 1, a hanging RGB camera 2, a hyperspectral camera 3, an environment temperature, humidity and light integrated sensor 4, and a soil sensor 5.

[0099] The front RGB camera 1 is installed in front of the tomato plant and is used to capture 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 features of the tomato plant. The hyperspectral camera 3 is arranged above the tomato plant and is used to acquire the spectral information of the leaves. The front RGB camera 1 and the hanging RGB camera 2 can automatically adjust the shooting parameters and the moving speed according to the light conditions and the plant distribution in the greenhouse. The environment temperature, humidity and light integrated sensor 4 is installed in the greenhouse and can acquire 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 acquire the data such as the soil temperature, the soil humidity, the pH value and the EC value.

[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 acquire the whole plant image captured by the front RGB camera 1 and the growth environment data acquired by the environment temperature, humidity and light integrated sensor 4, determine the growth period of the tomato plant to be detected and the saturated water vapor pressure difference of the environment, and thus determine the target irrigation amount. The second determination module 840 can acquire the leaf features and the spectral information captured 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 the spectral information into the pre-trained model to identify the nutrition status of the tomato plant to be monitored, the type of plant diseases and insect pests and the severity of the plant diseases and insect pests, and thus determine the target nutrient solution application scheme and the target pesticide application scheme. The control module 850 controls the water, fertilizer and pesticide integrated machine 7 to perform water, fertilizer and pesticide modulation according to the target irrigation amount, the target nutrient solution application scheme and the target pesticide application scheme, and applies to the tomato plant to be monitored.

[0101] Meanwhile, the control module 850 can also interact with the user terminal 8 (such as a WeChat mini program) and can feed back the growth status of the plant and the water, fertilizer and pesticide suggestions to the mobile terminal, so that the user can know the growth status of the plant in real time and issue the 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 scheme. The WeChat mini program interface is simple and clear, and the user can check the monitoring results and receive the fertilization suggestions at any time. Meanwhile, the remote control function is supported, so that the user can manage the greenhouse at any time and improve the user experience.

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

[0104] Optionally, the monitoring system of the tomato plant further comprises a communication module deployed at the 5G base station 11, which can provide 5G network for the transmission and data processing of image data and growth environment data, and realize real-time data transmission and high-speed processing.

[0105] The above-mentioned modules in the monitoring system of the tomato plant can be realized by software, hardware and combinations thereof, wholly or partially. The above-mentioned modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to the above-mentioned modules.

[0106] The application further provides a computer device comprising a memory, a processor and a computer program stored in the memory, wherein the processor executes the computer program to realize the steps in the monitoring method of the tomato plant. The specific implementation method can be referred to the method embodiments, which will not be described here.

[0107] Further, the application further provides a non-transitory computer readable storage medium comprising instructions, and the storage medium stores a computer program. For example, the storage medium comprising instructions can be executed by the processor of the computer device to complete the above-mentioned method. For example, the non-transitory 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, etc. The computer program is executed by the processor to realize the steps in the monitoring method of the tomato plant. The specific implementation method can be referred to the method embodiments, which will not be described here.

[0108] Those skilled in the art should understand that the embodiments of the application can provide methods, systems or computer program products. Therefore, the application can adopt a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the application can 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.

[0109] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0110] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0111] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0112] It should be noted that the above detailed description is merely exemplary and is not intended to limit the present application in any way. Thus, although the present application has been described in detail with respect to specific embodiments thereof, it will be apparent to those skilled in the art that various alterations, modifications, and improvements can be made thereto without departing from the spirit and scope of the present application. Accordingly, it is not intended that the application be limited, except as by the appended claims. No admission is made that any reference constitutes prior art. The combination of multiple steps, steps, or materials disclosed in one reference, in combination with steps, materials or claims in another reference, is not permitted unless expressly stated in the appended claims. Any steps, materials, or references recited herein are not an admission that the reference constitutes prior art.

Claims

1. A method for monitoring tomato plants, characterized in that, include: Acquire image data and growth environment data of the tomato plants to be monitored. The image data includes whole plant images, leaf features, and spectral information. The growth stage of the tomato plant to be tested is determined based on the whole plant image, and the saturated vapor pressure difference of the environment is determined based on the growth environment data; the target irrigation amount of the tomato plant is determined based on the growth stage, saturated vapor pressure difference and irrigation application rules. Leaf characteristics and spectral information are input into a pre-trained model to identify the nutritional status, types of pests and diseases, and severity of pests and diseases in the tomato plants to be monitored. The target nutrient solution application plan is determined based on the nutritional status and nutrient solution application rules; the target pesticide application plan is determined based on the types of pests and diseases, the severity of pests and diseases, the growth stage, and the pesticide application rules; among them, 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 applied, and the frequency of pesticide application. The integrated water, fertilizer, and pesticide control system prepares water, fertilizer, and pesticide solutions according to the target irrigation volume, target nutrient solution application plan, and target pesticide application plan, and applies the prepared mixed solution to the tomato plants to be monitored. This includes: generating water, fertilizer, and pesticide recommendations based on the target irrigation volume, target nutrient solution application plan, and target pesticide application plan; sending the water, fertilizer, and pesticide recommendations to the user terminal and receiving the user's water, fertilizer, and pesticide instructions; and controlling the integrated water, fertilizer, and pesticide control system to prepare water, fertilizer, and pesticide solutions according to the instructions, and applying the prepared mixed solution to the tomato plants to be monitored.

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

3. The method for monitoring tomato plants according to claim 2, characterized in that, The growing environment data also includes light intensity, soil temperature, soil moisture, soil pH, and soil EC value of the soil in which the tomato plants were grown, and also includes: The growth environment of the tomato plants to be monitored was regulated based on relative humidity and temperature, light intensity, soil temperature, soil moisture, soil pH, and soil EC value.

4. The method for monitoring tomato plants according to claim 1, characterized in that, Also includes: Acquire image data of the tomato plants to be monitored within a preset historical time period; Based on current and historical image data, predict the growth status and nutritional needs of the tomato plants to be monitored within a preset time period in the future. The growth status and nutritional requirements of the tomato plants to be monitored are sent to the user's terminal.

5. A monitoring system for tomato plants, characterized in that, include: The information acquisition module is used to acquire image data and growth environment data of the tomato plant to be monitored. The image data includes whole plant images, leaf features and spectral information. The first determination module is used to determine the growth stage of the tomato plant to be detected based on the whole plant image, and to determine the saturated water vapor pressure difference of the environment based on the growth environment data; and to determine the target irrigation amount of the tomato plant based on the growth stage, the saturated water vapor pressure difference and the irrigation application rules. The identification module is used to input leaf features and spectral information into a pre-trained model to identify the nutritional status, types of pests and diseases, and severity of pests and diseases in the tomato plants to be monitored. The second determining module is used to determine the target nutrient solution application plan based on nutrient status and nutrient solution application rules; and to determine the target pesticide application plan based on the type of pests and diseases, the severity of pests and diseases, the growth period and 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 applied and the frequency of pesticide application. The control module is used to control the integrated water, fertilizer, and pesticide machine to prepare water, fertilizer, and pesticide solutions according to the target irrigation volume, target nutrient solution application plan, and target pesticide application plan, and to apply the prepared mixed solution to the tomato plants to be monitored. This includes: generating water, fertilizer, and pesticide recommendations based on the target irrigation volume, target nutrient solution application plan, and target pesticide application plan; sending the water, fertilizer, and pesticide recommendations to the user terminal and receiving the user's water, fertilizer, and pesticide instructions; and controlling the integrated water, fertilizer, and pesticide machine to prepare water, fertilizer, and pesticide solutions according to the water, fertilizer, and pesticide instructions, and applying the prepared mixed solution to the tomato plants to be monitored.

6. The tomato plant monitoring system according to claim 5, characterized in that, Also includes: The photovoltaic power generation module is used to power various modules of the tomato plant monitoring system.

Images