CN114648214B - Proportion allocation method and system for physiological and biochemical indexes of facility crops - Google Patents
Proportion allocation method and system for physiological and biochemical indexes of facility crops Download PDFInfo
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Abstract
The invention provides a method and a system for allocating physiological and biochemical indexes of facility crops by specific gravity, wherein the method comprises the following steps: obtaining a first facility crop standard detection result; calling a first facility crop heat damage evaluation model according to the basic information of the first facility crop; constructing a first evolution facility crop heat damage assessment model and a second evolution facility crop heat damage assessment model; respectively obtaining first model parameter information and second model parameter information; constructing a third facility crop heat damage assessment model according to the first model parameter information and the second model parameter information to obtain a facility crop heat damage assessment index; and performing proportion allocation on indexes in the physiological and biochemical index set. The technical problems that when the high-temperature environment generates heat damage to facility crops in the prior art, the physiological and biochemical indexes of the facility crops are unbalanced in proportion, the evaluation accuracy of the heat damage degree is poor, and the adjustment accuracy of each proportion of the facility crops is poor are solved.
Description
Technical Field
The invention relates to the field of facility agriculture, in particular to a method and a system for allocating physiological and biochemical indexes of facility crops by specific gravity.
Background
The planting area of facility crops in China is increased year by year, and the production value is inferior to the second position of the grain crops, and accounts for about 50% of the production value of the whole cash crops. But the production facilities in China are relatively simple, sunlight greenhouses and large, medium arch sheds are mainly used in northern areas, and plastic greenhouses and medium, small arch sheds are mainly used in southern areas, so that the capability of regulating and controlling the environment of the facility greenhouses and resisting natural disasters is weak. The high temperature can damage the cytochromes of plant leaves, damage the electron transfer and structure of a light system II, reduce the activity of enzymes, further inhibit photosynthesis, finally inhibit the growth of crops and reduce the yield of the crops. Plant bodies also produce adaptation mechanisms to high temperature environments where crops produce antioxidant enzyme systems (CAT, POD and SOD enzymes) that scavenge active oxygen species (H) 2 0 2 And O 2- ) This generation-removal dynamic balance breaks down with prolonged duration of high temperature or increased frequency. At the same time, the high temperature can also cause the permeability of plant cell membranes to be destroyed, and Malondialdehyde (MDA) is the final product of peroxidation of cell membrane lipid and can be used for measuring the damage degree of crop cells.
However, the prior art has the following technical problems:
When the high-temperature environment generates heat damage to the facility crops, the physiological and biochemical indexes of the facility crops are unbalanced in proportion, the accuracy of evaluating the heat damage degree is poor, and the accuracy of adjusting each proportion of the facility crops is poor.
Disclosure of Invention
The embodiment of the application provides a method and a system for allocating the specific gravity of physiological and biochemical indexes of facility crops, which solve the technical problems that the specific gravity of the physiological and biochemical indexes of the facility crops is unbalanced, the evaluation accuracy of the degree of the heat injury is poor, and the adjustment accuracy of each specific gravity of the facility crops is poor when the high-temperature environment generates heat injury to the facility crops in the prior art. The method achieves the technical effects of carrying out machine learning through a large amount of facility crop data, accurately evaluating the heat damage degree of the facility crops, improving the physiological and biochemical index proportion imbalance condition of the facility crops through accurate proportion allocation when the facility crops are subjected to heat damage, and avoiding the facility crops from being damaged at high temperature.
In view of the above problems, the embodiment of the application provides a method and a system for allocating the specific gravity of physiological and biochemical indexes of facility crops.
In a first aspect, an embodiment of the present application provides a method for allocating a specific gravity of a physiological and biochemical index of a facility crop, where the method includes: measuring the first facility crops according to the physiological and biochemical index set to obtain a first facility crop standard detection result; calling a first facility crop heat damage assessment model from a facility crop heat damage assessment model library according to the basic information of the first facility crop; training the first facility crop heat damage assessment model according to the first facility crop standard detection result, and constructing a first evolution facility crop heat damage assessment model; obtaining a second facility crop standard detection result, and carrying out update training on a second facility crop thermal injury assessment model according to the second facility crop standard detection result to obtain a second evolution facility crop thermal injury assessment model; extracting parameters of the first evolution facility crop heat damage assessment model and the second evolution facility crop heat damage assessment model to obtain first model parameter information and second model parameter information respectively; constructing a third facility crop heat damage assessment model according to the first model parameter information and the second model parameter information, and obtaining a facility crop heat damage assessment index according to the third facility crop heat damage assessment model; and carrying out proportion allocation on the indexes in the physiological and biochemical index set based on the facility crop heat damage evaluation index.
In another aspect, an embodiment of the present application provides a system for allocating physiological and biochemical indexes of a facility crop, the system comprising: the first obtaining unit is used for measuring the first facility crops according to the physiological and biochemical index set to obtain a first facility crop standard detection result; the first execution unit is used for calling a first facility crop heat damage assessment model from a facility crop heat damage assessment model library according to the basic information of the first facility crop; the first construction unit is used for training the first facility crop heat damage assessment model according to the first facility crop standard detection result and constructing a first evolution facility crop heat damage assessment model; the second obtaining unit is used for obtaining a second facility crop standard detection result, and carrying out update training on a second facility crop thermal injury assessment model according to the second facility crop standard detection result to obtain a second evolution facility crop thermal injury assessment model; the second execution unit is used for extracting parameters of the first evolution facility crop heat damage assessment model and the second evolution facility crop heat damage assessment model to obtain first model parameter information and second model parameter information respectively; the third obtaining unit is used for constructing a third facility crop heat damage assessment model according to the first model parameter information and the second model parameter information and obtaining a facility crop heat damage assessment index according to the third facility crop heat damage assessment model; and the third execution unit is used for allocating the specific gravity of the indexes in the physiological and biochemical index set based on the facility crop heat damage evaluation index.
In a third aspect, the present application provides a system for allocating specific gravity of physiological and biochemical indicators of a facility crop, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
the first facility crop is measured according to the physiological and biochemical index set, so that a first facility crop standard detection result is obtained; calling a first facility crop heat damage assessment model from a facility crop heat damage assessment model library according to the basic information of the first facility crop; training the first facility crop heat damage assessment model according to the first facility crop standard detection result, and constructing a first evolution facility crop heat damage assessment model; obtaining a second facility crop standard detection result, and carrying out update training on a second facility crop thermal injury assessment model according to the second facility crop standard detection result to obtain a second evolution facility crop thermal injury assessment model; extracting parameters of the first evolution facility crop heat damage assessment model and the second evolution facility crop heat damage assessment model to obtain first model parameter information and second model parameter information respectively; constructing a third facility crop heat damage assessment model according to the first model parameter information and the second model parameter information, and obtaining a facility crop heat damage assessment index according to the third facility crop heat damage assessment model; according to the technical scheme of proportion allocation of indexes in the physiological and biochemical index set based on the facility crop heat damage assessment index, the embodiment of the application achieves the technical effects of accurately assessing the heat damage degree of the facility crop by machine learning through a large amount of facility crop data, improving the proportion unbalance condition of the physiological and biochemical indexes of the facility crop and avoiding the facility crop from being damaged at high temperature through accurate proportion allocation when the facility crop is subjected to heat damage by providing the proportion allocation method and the system of the physiological and biochemical indexes of the facility crop.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a schematic flow chart of a method for allocating specific gravity of physiological and biochemical indicators of facility crops according to an embodiment of the application;
FIG. 2 is a schematic diagram of a method for allocating specific gravity of physiological and biochemical indicators of a facility crop to obtain a standard detection result of a first facility crop according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a model library for evaluating heat damage of a facility crop constructed by a method for allocating specific gravity of physiological and biochemical indexes of the facility crop according to an embodiment of the application;
FIG. 4 is a schematic diagram of a system for adjusting the specific gravity of physiological and biochemical indicators of a facility crop according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Reference numerals illustrate: the device comprises a first obtaining unit 11, a first executing unit 12, a first constructing unit 13, a second obtaining unit 14, a second executing unit 15, a third obtaining unit 16, a third executing unit 17, an electronic device 300, a memory 301, a processor 302, a communication interface 303, and a bus architecture 304.
Detailed Description
The embodiment of the application provides a method and a system for allocating the specific gravity of physiological and biochemical indexes of facility crops, which solve the technical problems that the specific gravity of the physiological and biochemical indexes of the facility crops is unbalanced, the evaluation accuracy of the degree of the heat injury is poor, and the adjustment accuracy of each specific gravity of the facility crops is poor when the high-temperature environment generates heat injury to the facility crops in the prior art. The method achieves the technical effects of carrying out machine learning through a large amount of facility crop data, accurately evaluating the heat damage degree of the facility crops, improving the physiological and biochemical index proportion imbalance condition of the facility crops through accurate proportion allocation when the facility crops are subjected to heat damage, and avoiding the facility crops from being damaged at high temperature.
Summary of the application
The development of facility agriculture is an important sign of agricultural modernization and is also an important construction task of the development of modern agriculture. The facility agriculture in China is started later than overseas, and has a great gap with overseas developed countries in the aspects of facility construction, technical research, equipment research and development, capital investment and the like. The planting area of facility crops in China is increased year by year, and the production value is inferior to the second position of the grain crops, and accounts for about 50% of the production value of the whole cash crops. But the production facilities in China are relatively simple, sunlight greenhouses and large, medium arch sheds are mainly used in northern areas, and plastic greenhouses and medium, small arch sheds are mainly used in southern areas, so that the capability of regulating and controlling the environment of the facility greenhouses and resisting natural disasters is weak. In the prior art, when the high-temperature environment generates heat damage to facility crops, the physiological and biochemical indexes of the facility crops are unbalanced in proportion, the evaluation accuracy of the heat damage degree is poor, and the adjustment accuracy of each proportion of the facility crops is poor.
Aiming at the technical problems, the technical scheme provided by the application has the following overall thought:
the embodiment of the application provides a method for allocating the specific gravity of physiological and biochemical indexes of facility crops, which comprises the following steps: measuring the first facility crops according to the physiological and biochemical index set to obtain a first facility crop standard detection result; calling a first facility crop heat damage assessment model from a facility crop heat damage assessment model library according to the basic information of the first facility crop; training the first facility crop heat damage assessment model according to the first facility crop standard detection result, and constructing a first evolution facility crop heat damage assessment model; obtaining a second facility crop standard detection result, and carrying out update training on a second facility crop thermal injury assessment model according to the second facility crop standard detection result to obtain a second evolution facility crop thermal injury assessment model; extracting parameters of the first evolution facility crop heat damage assessment model and the second evolution facility crop heat damage assessment model to obtain first model parameter information and second model parameter information respectively; constructing a third facility crop heat damage assessment model according to the first model parameter information and the second model parameter information, and obtaining a facility crop heat damage assessment index according to the third facility crop heat damage assessment model; and carrying out proportion allocation on the indexes in the physiological and biochemical index set based on the facility crop heat damage evaluation index.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Example 1
As shown in fig. 1, the embodiment of the application provides a specific gravity allocation method for physiological and biochemical indexes of facility crops, wherein the method comprises the following steps:
s100: measuring the first facility crops according to the physiological and biochemical index set to obtain a first facility crop standard detection result;
specifically, improper temperatures can cause serious damage to facility crops, high temperatures can destroy cytochromes of plant leaves, destroy electron transfer and structure of a light system II, reduce enzyme activity, further inhibit photosynthesis, finally inhibit crop growth and reduce crop yield. Therefore, the physiological and biochemical indexes of the facility crops need to be studied so as to prevent the facility crops from being damaged by high temperature. The first facility crop is any facility crop, and the facility crop is a modern agricultural mode for efficiently producing plants, such as cucumber, tomato, eggplant, rape, green pepper, green bean and the like, by adopting engineering technology means under relatively controllable environment conditions. The physiological and biochemical index set comprises indexes of physiological and biochemical detection of all facility crops, the first facility crops are measured according to indexes matched with the first facility crops in the physiological and biochemical set, and the standard detection results of the first facility crops are obtained through a data processing method, for example: unifying the data dimension by a normalization method to obtain a standard detection result. The standardization of the detection result can lay a foundation for the subsequent analysis of data.
S200: calling a first facility crop heat damage assessment model from a facility crop heat damage assessment model library according to the basic information of the first facility crop;
s300: training the first facility crop heat damage assessment model according to the first facility crop standard detection result, and constructing a first evolution facility crop heat damage assessment model;
specifically, the basic information of the first facility crop is obtained, the basic information includes category, variety, production place, growth period, growth condition information and the like of the facility crop, the historical data of the facility crop is obtained according to the basic information of the facility crop, a corresponding facility crop heat damage assessment model is constructed, and the circulating neural network model can be trained by using the historical data, so that the corresponding facility crop heat damage assessment model is obtained. And constructing a facility crop heat damage evaluation model library through all facility crop heat damage evaluation models. And calling a first facility crop heat damage assessment model from the facility crop heat damage assessment model library, and performing model training according to the first facility crop standard detection result. And training and updating the first facility crop heat damage assessment model to obtain a first evolution facility crop heat damage assessment model, wherein only changes caused by newly added data are updated on the basis of the original facility crop heat damage assessment model. The first evolution facility crop heat damage evaluation model is an updated and optimized heat damage evaluation model, and the model is more accurate and reliable through updating and optimizing of the detection result of the first facility crop.
S400: obtaining a second facility crop standard detection result, and carrying out update training on a second facility crop thermal injury assessment model according to the second facility crop standard detection result to obtain a second evolution facility crop thermal injury assessment model;
specifically, the second facility crop is any one facility crop different from the first facility crop. And measuring the second facility crops according to the physiological and biochemical index set to obtain a second facility crop standard detection result. And calling a second facility crop heat damage assessment model from a facility crop heat damage assessment model library according to the basic information of the second facility crop, and updating and training the second facility crop heat damage assessment model according to the second facility crop standard detection result. Based on the original model, only the change caused by the newly added data is updated to obtain the crop heat damage evaluation model of the second evolution facility. The technical effect of learning the newly added data to improve the updating performance of the evaluation model is achieved.
S500: extracting parameters of the first evolution facility crop heat damage assessment model and the second evolution facility crop heat damage assessment model to obtain first model parameter information and second model parameter information respectively;
S600: constructing a third facility crop heat damage assessment model according to the first model parameter information and the second model parameter information, and obtaining a facility crop heat damage assessment index according to the third facility crop heat damage assessment model;
specifically, parameter extraction is performed on the first evolution facility crop heat damage assessment model and the second evolution facility crop heat damage assessment model, and first model parameter information and second model parameter information are respectively obtained. The first model parameter information and the second model parameter each include, but are not limited to, a heat damage level parameter, wherein the heat damage level parameter includes, but is not limited to, a pre-set based on expert experience, such as set to five levels of normal, mild, moderate, severe and extra heavy. And constructing a third facility crop heat damage assessment model through the first model parameter information and the second model parameter information, and obtaining the third facility crop heat damage assessment model. And carrying out heat damage evaluation on different facility crops based on the third facility crop heat damage evaluation model to obtain an evaluation result, namely the facility crop heat damage evaluation index. The third facility crop heat damage evaluation model is obtained by training data from different facility crop main bodies together, and the training model has better effect than the independent model of the fracture.
S700: and carrying out proportion allocation on the indexes in the physiological and biochemical index set based on the facility crop heat damage evaluation index.
Further, the step S700 includes:
s710: obtaining a weight exceeding threshold of the physiological and biochemical index according to the heat damage evaluation index of the facility crops;
s720: obtaining weight values corresponding to all indexes in the physiological and biochemical index set based on an entropy weight method;
s730: and according to the weight value corresponding to each index and the weight exceeding threshold, blending the proportion of each index in the physiological and biochemical index set to obtain a first proportion blending result.
Further, the weight value corresponding to each index in the physiological and biochemical index set is obtained based on the entropy weight method, specifically:
wherein, the liquid crystal display device comprises a liquid crystal display device,
in the formula, W i For the weight value corresponding to each index, r ij For standardized data, P ij The j sample value under the i index is the proportion value of the j index.
Specifically, since the number of indices to be measured is limited, and the importance of different indices is different for different facility crops to be heated. The weight values of the different indicators can be obtained by calculation. When the crops grow normally, the heat damage evaluation index is 0, and the degree of high-temperature stress is more obvious along with the gradual rise of the heat damage evaluation index. And blending the specific gravity in the physiological and biochemical index set based on the facility crop heat damage evaluation index. Firstly, obtaining a weight exceeding threshold of each physiological and biochemical index, and obtaining a weight value corresponding to each index in the physiological and biochemical index set based on an entropy weight method. Normalized data r obtained by measurement ij Calculating the specific gravity value P of the jth sample value in the ith index to the index ij Based on P ij Calculating the entropy value E of the ith index i Based on entropy value E i Calculating weight value W corresponding to each index i 。
If the weight of a certain index exceeds the weight exceeding threshold of the index, the weight of the index needs to be adjusted by an external agricultural technology means. As an example, without limitation: if the weight of the superoxide dismutase is found to be higher than the weight exceeding threshold, the fact that the superoxide dismutase is too much in the plant body is indicated, and when the fact that the superoxide dismutase is stressed by the external adversity is indicated, the weight of the superoxide dismutase is adjusted through methods of reducing illumination time of facility crops, reducing indoor temperature and the like. And measuring the index after adjustment to obtain standardized data. And calculating the index weight again until the index weight is adjusted until the index weight does not exceed the weight exceeding threshold value, and obtaining the first comparison and adjustment result, wherein the first comparison and adjustment result comprises the weight value after adjustment. Therefore, the specific gravity allocation of the indexes in the physiological and biochemical index set is realized, and the damage of high temperature to plants is relieved.
Further, as shown in fig. 2, the step S100 includes:
S110: constructing a physiological and biochemical index set of facility crops, wherein the physiological and biochemical index set comprises chlorophyll, net photosynthetic rate, maximum photochemical efficiency, superoxide dismutase and malondialdehyde;
s120: setting a facility crop treatment scheme, wherein the facility crop treatment scheme comprises a high-temperature gradient grade and a treatment duration, and treating the first facility crop according to the facility crop treatment scheme;
s130: measuring the treated first facility crops according to the physiological and biochemical index set to obtain a first facility crop detection result;
s140: and carrying out normalization processing on the first facility crop detection result to obtain the first facility crop standard detection result.
Specifically, plant bodies can also generate adaptation mechanisms to high-temperature environments, and crops can generate antioxidant enzyme systems (CAT, POD and SOD enzymes) in the high-temperature environments to remove active oxygen substances (H) 2 0 2 And O 2- ) This generation-removal dynamic balance breaks down with prolonged duration of high temperature or increased frequency. At the same time, the high temperature can also cause the permeability of plant cell membranes to be destroyed, and Malondialdehyde (MDA) is the final product of peroxidation of cell membrane lipid and can be used for measuring the damage degree of crop cells. Therefore, the heat injury degree of facility crops can be well estimated by measuring indexes such as chlorophyll, net photosynthetic rate, maximum photochemical efficiency, superoxide dismutase, malondialdehyde and the like.
Therefore, a set of physiological and biochemical indexes of facility crops is constructed based on physiological and biochemical indexes such as chlorophyll, net photosynthetic rate, maximum photochemical efficiency, superoxide dismutase, malondialdehyde and the like. The facility crop treatment regimen is set by designing different high temperature gradient levels and different treatment durations. And processing the first facility crop according to the facility crop processing scheme. As an example, without limitation: for example, the treatment protocol was set for the grapes to a dynamic high temperature gradient (day maximum/day minimum; 41/31 ℃, 38/28 ℃, 35/25 ℃ and 32/22 ℃) and the treatment duration was 3d, 6d, 9d and 12d with 28/18 ℃ as a control. And measuring physiological and biochemical indexes such as chlorophyll, net photosynthetic rate, maximum photochemical efficiency, superoxide dismutase, malondialdehyde and the like of the first facility crop under the set facility crop treatment scheme, and obtaining a detection result of the first facility crop. And because the units of the detection results are inconsistent, normalizing the detection results of the first facility crops to obtain the standard detection results of the first facility crops in order to unify the dimension.
Further, as shown in fig. 3, an embodiment of the present application includes:
s810: obtaining historical facility crop basic information, wherein the historical facility crop basic information comprises facility crop basic information of various types of characteristics;
S820: respectively inputting the basic information of the historical facility crops into a cyclic neural network model according to the type characteristics of the facility crops to train so as to obtain corresponding heat damage evaluation models of the facility crops of various types;
s830: and constructing a facility crop heat damage evaluation model library according to the trained facility crop heat damage evaluation models of various types.
Further, the embodiment of the application further comprises:
s821: encrypting the basic information of the historical facility crops based on a data encryption algorithm to obtain the basic information of the historical facility crops after encryption;
s822: and training the cyclic neural network model according to the encrypted historical facility crop basic information.
Specifically, the historical facility crop basic information includes facility crop basic information of various types of characteristics, such as: the type, variety, production area, growth index, growth period, etc. of the facility crops. And obtaining the basic information of the historical facility crops, and providing training data for a facility crop heat damage evaluation model.
In order to ensure confidentiality of data in the training process, the basic information of the historical facility crops is required to be encrypted through a data encryption algorithm, the encrypted basic information of the historical facility crops is obtained, the encrypted data are used for training the cyclic neural network model respectively, and a heat damage evaluation model corresponding to the facility crops is obtained.
The facility crop heat damage assessment model library is constructed according to the trained facility crop heat damage assessment models of various types, so that the facility crop heat damage assessment model library is convenient to call when different types of facility crops carry out heat damage assessment, basic information of historical facility crops is encrypted through a data encryption algorithm, data isolation is realized, and the requirements of privacy protection and data safety are met.
Further, the step S820 further includes the steps of:
s823: obtaining an initial hidden layer value of the cyclic neural network, and obtaining a first input weight matrix based on the initial hidden layer value;
s824: respectively taking basic facility crop information of various types of characteristics as input layer information, and training the cyclic neural network according to the input layer information and the first input weight matrix;
s825: and taking the input layer information and the initial hidden layer value as the next hidden layer value, and sequentially performing iterative training to obtain the corresponding heat damage assessment model of the facility crops of various types.
Specifically, the recurrent neural network is composed of an input layer, a hidden layer and an output layer. The recurrent neural network allows the output of the network to be related not only to the current input, but also to the output at the previous time by using neurons with self-feedback. Thus, the memory capacity is short-term when processing time series data with any length. The connection exists not only from layer to layer adjacent (e.g., between the input layer and the hidden layer) but also between the hidden layer and the hidden layer in the time dimension. The facility crop basic information of the various types of characteristics is provided with time sequence characteristics, such as: the facility crops for each growth cycle differ in their respective indices.
And obtaining the initial hidden layer value, wherein the initial hidden layer value of the cyclic neural network can be obtained in a self-defining mode and is used as the first input weight matrix. And respectively taking basic information of each type of facility crops as input layer information, training the cyclic neural network according to the input layer information and the first input weight matrix, taking each input layer and the last hidden layer as each hidden layer, wherein each hidden layer is the value of the next hidden layer, and obtaining a facility crop heat damage assessment model corresponding to the facility crops with each type of characteristics through sequential iterative training.
In summary, the method and the system for allocating the specific gravity of the physiological and biochemical indexes of the facility crops provided by the embodiment of the application have the following technical effects:
1. the first facility crop is measured according to the physiological and biochemical index set, so that a first facility crop standard detection result is obtained; calling a first facility crop heat damage assessment model from a facility crop heat damage assessment model library according to the basic information of the first facility crop; training the first facility crop heat damage assessment model according to the first facility crop standard detection result, and constructing a first evolution facility crop heat damage assessment model; obtaining a second facility crop standard detection result, and carrying out update training on a second facility crop thermal injury assessment model according to the second facility crop standard detection result to obtain a second evolution facility crop thermal injury assessment model; extracting parameters of the first evolution facility crop heat damage assessment model and the second evolution facility crop heat damage assessment model to obtain first model parameter information and second model parameter information respectively; constructing a third facility crop heat damage assessment model according to the first model parameter information and the second model parameter information, and obtaining a facility crop heat damage assessment index according to the third facility crop heat damage assessment model; according to the technical scheme of proportion allocation of indexes in the physiological and biochemical index set based on the facility crop heat damage assessment index, the embodiment of the application achieves the technical effects of accurately assessing the heat damage degree of the facility crop by machine learning through a large amount of facility crop data, improving the proportion unbalance condition of the physiological and biochemical indexes of the facility crop and avoiding the facility crop from being damaged at high temperature through accurate proportion allocation when the facility crop is subjected to heat damage by providing the proportion allocation method and the system of the physiological and biochemical indexes of the facility crop.
2. Due to the adoption of the encryption method by the data encryption algorithm, data isolation is realized, and the technical effects of privacy protection and data security are met.
Example two
Based on the same inventive concept as the method for allocating the physiological and biochemical indexes of the facility crops in the foregoing embodiments, as shown in fig. 4, an embodiment of the present application provides a system for allocating the physiological and biochemical indexes of the facility crops, where the system includes:
the first obtaining unit 11 is configured to determine a first facility crop according to the set of physiological and biochemical indexes, and obtain a first facility crop standard detection result;
the first execution unit 12 is used for calling a first facility crop thermal injury assessment model from a facility crop thermal injury assessment model library according to basic information of the first facility crop;
the first construction unit 13 is configured to train the first facility crop heat damage assessment model according to the first facility crop standard detection result, and construct a first evolved facility crop heat damage assessment model;
the second obtaining unit 14 is configured to obtain a second facility crop standard detection result, and update and train a second facility crop thermal injury assessment model according to the second facility crop standard detection result to obtain a second evolved facility crop thermal injury assessment model;
The second execution unit 15 is configured to perform parameter extraction on the first evolutionary facility crop heat damage assessment model and the second evolutionary facility crop heat damage assessment model, so as to obtain first model parameter information and second model parameter information respectively;
a third obtaining unit 16, where the third obtaining unit 16 is configured to construct a third facility crop thermal injury assessment model according to the first model parameter information and the second model parameter information, and obtain a facility crop thermal injury assessment index according to the third facility crop thermal injury assessment model;
and a third execution unit 17, where the third execution unit 17 is configured to perform proportion allocation on the indexes in the physiological and biochemical index set based on the facility crop heat damage evaluation index.
Further, the system includes:
the second construction unit is used for constructing a physiological and biochemical index set of facility crops, wherein the physiological and biochemical index set comprises chlorophyll, net photosynthetic rate, maximum photochemical efficiency, superoxide dismutase and malondialdehyde;
the first setting unit is used for setting a facility crop treatment scheme, wherein the facility crop treatment scheme comprises a high-temperature gradient grade and a treatment duration, and the first facility crop is treated according to the facility crop treatment scheme;
The fourth obtaining unit is used for measuring the processed first facility crops according to the physiological and biochemical index set to obtain a first facility crop detection result;
and the fifth obtaining unit is used for carrying out normalization processing on the first facility crop detection result to obtain the first facility crop standard detection result.
Further, the system includes:
the sixth obtaining unit is used for obtaining a weight exceeding threshold value of the physiological and biochemical index according to the thermal injury evaluation index of the facility crops;
a seventh obtaining unit, configured to obtain a weight value corresponding to each index in the physiological and biochemical index set based on an entropy weight method;
and the eighth obtaining unit is used for allocating the specific gravity of each index in the physiological and biochemical index set according to the weight value corresponding to each index and the weight exceeding threshold value to obtain a first specific allocation result.
Further, the system includes:
a ninth obtaining unit for obtaining historical facility crop basic information, wherein the historical facility crop basic information includes facility crop basic information of various types of characteristics;
A tenth obtaining unit for obtaining historical facility crop basic information, wherein the historical facility crop basic information includes facility crop basic information of various types of characteristics;
the eleventh obtaining unit is used for respectively inputting the basic information of the historical facility crops into the circulating neural network model for training according to the type characteristics of the facility crops to obtain corresponding heat damage evaluation models of the facility crops of various types;
and the third construction unit is used for constructing the facility crop heat damage evaluation model library according to the trained facility crop heat damage evaluation models of various types.
Further, the system includes:
a twelfth obtaining unit, configured to encrypt the historical facility crop basic information based on a data encryption algorithm, to obtain encrypted historical facility crop basic information;
and the fourth execution unit is used for training the cyclic neural network model according to the encrypted historical facility crop basic information.
Further, the system includes:
a thirteenth obtaining unit configured to obtain an initial hidden layer value of the recurrent neural network, and obtain a first input weight matrix based on the initial hidden layer value;
The fifth execution unit is used for respectively taking the basic information of facility crops with various types of characteristics as input layer information and training the cyclic neural network according to the input layer information and the first input weight matrix;
and the fourteenth obtaining unit is used for taking the input layer information and the initial hidden layer value as the next hidden layer value, and sequentially performing iterative training to obtain the corresponding heat damage evaluation models of the various facility crops.
Exemplary electronic device
An electronic device of an embodiment of the present application is described below with reference to fig. 5.
Based on the same inventive concept as the specific gravity allocation method of the physiological and biochemical indexes of the facility crops in the previous embodiment, the embodiment of the application also provides a specific gravity allocation system of the physiological and biochemical indexes of the facility crops, which comprises: a processor coupled to a memory for storing a program that, when executed by the processor, causes the system to perform the method of any of the first aspects.
The electronic device 300 includes: a processor 302, a communication interface 303, a memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. Wherein the communication interface 303, the processor 302 and the memory 301 may be interconnected by a bus architecture 304; the bus architecture 304 may be a peripheral component interconnect (peripheral component interconnect, PCI) bus, or an extended industry standard architecture (extended industry Standard architecture, EISA) bus, among others. The bus architecture 304 may be divided into address buses, data buses, control buses, and the like. For ease of illustration, only one thick line is shown in fig. 5, but not only one bus or one type of bus.
Processor 302 may be a CPU, microprocessor, ASIC, or one or more integrated circuits for controlling the execution of the programs of the present application.
The communication interface 303 uses any transceiver-like means for communicating with other devices or communication networks, such as ethernet, radio access network (radio access network, RAN), wireless local area network (wireless local area networks, WLAN), wired access network, etc.
The memory 301 may be, but is not limited to, ROM or other type of static storage device that may store static information and instructions, RAM or other type of dynamic storage device that may store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a CD-ROM or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be self-contained and coupled to the processor through bus architecture 304. The memory may also be integrated with the processor.
The memory 301 is used for storing computer-executable instructions for executing the inventive arrangements, and is controlled by the processor 302 for execution. The processor 302 is configured to execute the computer-executable instructions stored in the memory 301, thereby implementing the method for allocating the specific gravity of the physiological and biochemical indicators of the facility crops according to the embodiment of the application.
Alternatively, the computer-executable instructions in the embodiments of the present application may be referred to as application program codes, which are not particularly limited in the embodiments of the present application.
The embodiment of the application provides a method for allocating the specific gravity of physiological and biochemical indexes of facility crops, wherein the method comprises the following steps: measuring the first facility crops according to the physiological and biochemical index set to obtain a first facility crop standard detection result; calling a first facility crop heat damage assessment model from a facility crop heat damage assessment model library according to the basic information of the first facility crop; training the first facility crop heat damage assessment model according to the first facility crop standard detection result, and constructing a first evolution facility crop heat damage assessment model; obtaining a second facility crop standard detection result, and carrying out update training on a second facility crop thermal injury assessment model according to the second facility crop standard detection result to obtain a second evolution facility crop thermal injury assessment model; extracting parameters of the first evolution facility crop heat damage assessment model and the second evolution facility crop heat damage assessment model to obtain first model parameter information and second model parameter information respectively; constructing a third facility crop heat damage assessment model according to the first model parameter information and the second model parameter information, and obtaining a facility crop heat damage assessment index according to the third facility crop heat damage assessment model; and carrying out proportion allocation on the indexes in the physiological and biochemical index set based on the facility crop heat damage evaluation index.
Those of ordinary skill in the art will appreciate that: the first, second, etc. numbers referred to in the present application are merely for convenience of description and are not intended to limit the scope of the embodiments of the present application, nor represent the sequence. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any one," or the like, refers to any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one of a, b, or c (species ) may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by wired (e.g., coaxial cable, optical fiber, digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device including one or more servers, data centers, etc. that can be integrated with the available medium. The usable medium may be a magnetic medium (e.g., a floppy Disk, a hard Disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
The various illustrative logical blocks and circuits described in connection with the embodiments of the present application may be implemented or performed with a general purpose processor, a digital signal processor, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the general purpose processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software unit executed by a processor, or in a combination of the two. The software elements may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. In an example, a storage medium may be coupled to the processor such that the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may reside in a terminal. In the alternative, the processor and the storage medium may reside in different components in a terminal. These computer program instructions may 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 flow or flows and/or block diagram block or blocks.
Although the application has been described in connection with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made without departing from the spirit and scope of the application. Accordingly, the specification and drawings are merely exemplary illustrations of the present application as defined in the appended claims and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the scope of the application. Thus, the present application is intended to include such modifications and alterations insofar as they come within the scope of the application or the equivalents thereof.
Claims (8)
1. A method for allocating physiological and biochemical indexes of facility crops by specific gravity is characterized in that
The method comprises the following steps:
measuring the crops of the first facility according to the physiological and biochemical index set to obtain the first facility
Crop standard detection results;
according to the basic information of the first facility crop, adjusting from a facility crop heat damage evaluation model library
Using a first facility crop heat damage assessment model;
heat damage to the first facility crop according to the first facility crop standard detection result
Training an evaluation model, and constructing a first evolution facility crop heat damage evaluation model;
obtaining a second facility crop standard detection result and according to the second facility crop standard
The detection result carries out update training on the second facility crop heat damage evaluation model to obtain a second evolution
A facility crop heat damage evaluation model, wherein the second facility crop standard detection result is different from the first facility crop standard detection result
Determination knot of all physiological and biochemical detection indexes of any facility crop of facility crops
Fruit;
performing a crop heat damage assessment model of the first evolutionary facility and the second evolutionary facility
Extracting parameters of the object heat damage assessment model to obtain first model parameter information and second model parameter information respectively
Type parameter information;
constructing a third model according to the first model parameter information and the second model parameter information
Obtaining a facility crop heat damage evaluation model according to the third facility crop heat damage evaluation model
A facility crop heat damage assessment index;
based on the facility crop heat damage evaluation index, the physiological and biochemical index set is used for
Performing proportion allocation on indexes; the method further comprises the steps of:
obtaining historical facility crop basic information, wherein the historical facility crop basic information
Basic information of facility crops including various types of characteristics;
respectively inputting the historical facility crop basic information according to the facility crop type characteristics
Training in a cyclic neural network model to obtain corresponding heat damage assessment of various facility crops
A model;
constructing the facilities according to the trained crop heat damage evaluation models of the various facilities
And a crop heat damage evaluation model library.
2. The method of claim 1, wherein the obtaining a first facility is performed
Standard detection results, including:
constructing a physiological and biochemical index set of facility crops, wherein the physiological and biochemical index set comprises
Chlorophyll, net photosynthetic rate, maximum photochemical efficiency, superoxide dismutase, and malondialdehyde;
setting a facility crop treatment scheme including a high temperature gradient and the like
Stage and treatment duration, the first facility crop is treated according to the facility crop treatment scheme
Processing;
performing treatment on the first facility crops according to the physiological and biochemical index set
Measuring to obtain a first facility crop detection result;
normalizing the detection result of the first facility crop to obtain the first facility crop
Standard test results were applied.
3. The method of claim 1, wherein said pair of physiological biochemistry
The indexes in the index set are subjected to proportion allocation, and the method comprises the following steps:
obtaining a weight exceeding threshold of the physiological and biochemical index according to the heat damage evaluation index of the facility crops;
obtaining weight values corresponding to all indexes in the physiological and biochemical index set based on an entropy weight method;
according to the weight value corresponding to each index and the weight exceeding threshold, the physiological system is subjected to the following steps of
Blending the specific gravity of each index in the biochemical index set to obtain a first specific gravity blending result.
4. The method of claim 3, wherein the entropy-based weighting is obtained
The weight value corresponding to each index in the physiological and biochemical index set is specifically:
in the formula, wi is a weight value corresponding to each index, rij is standardized data, and Pij is the first
The j sample value under the index of i is the proportion value of the index.
5. The method of claim 1, wherein the method comprises:
encrypting the basic information of the historical facility crops based on a data encryption algorithm to obtain
The encrypted basic information of the historical facility crops;
The cyclic neural network is subjected to the encryption according to the basic information of the historical facility crops
The model is trained.
6. The method of claim 1, wherein the corresponding classes are obtained
A facility crop heat damage assessment model comprising:
obtaining an initial hidden layer value of the recurrent neural network based on the initial hidden layer value
Obtaining a first input weight matrix;
respectively taking basic facility crop information of various types of characteristics as input layer information, and training the cyclic neural network according to the input layer information and the first input weight matrix
Training;
taking the input layer information and the initial hidden layer value as the next hidden layer value according to the following conditions
And performing iterative training for the second time to obtain the corresponding thermal injury evaluation models of the various facility crops.
7. A system for allocating physiological and biochemical indexes of facility crops by proportion is characterized in that
The system comprises:
a first obtaining unit for obtaining the physiological and biochemical index set pairs
Measuring the first facility crop to obtain a first facility crop standard detection result;
a first execution unit for executing the first facility crop according to the basic state of the first facility crop
Information, calling a first facility crop heat damage assessment model from a facility crop heat damage assessment model library;
a first construction unit for making object marks according to the first facility
Training the first facility crop heat damage evaluation model according to the detection result to construct a first inlet
A chemical facility crop heat damage assessment model;
a second obtaining unit for obtaining a second facility crop standard test
Measuring the result, and according to the standard detection result of the second facility crop, carrying out heat damage on the second facility crop
The evaluation model is updated and trained to obtain a second evolution facility crop heat damage evaluation model, the second evolution facility crop heat damage evaluation model
The standard detection result of the second facility crop is any facility different from the first facility crop
The measurement results of all physiological and biochemical detection indexes of crops;
a second execution unit for the first evolutionary facility crop
The thermal injury assessment model and the second evolutionary facility crop thermal injury assessment model are subjected to parameter extraction,
respectively obtaining first model parameter information and second model parameter information;
a third obtaining unit for constructing a third facility crop heat damage evaluation model according to the first model parameter information and the second model parameter information
The third facility crop heat damage evaluation model is used for obtaining a facility crop heat damage evaluation index;
a third execution unit for evaluating the heat damage of the facility crops
Estimating an index, and performing proportion allocation on indexes in the physiological and biochemical index set;
the system further comprises:
a ninth obtaining unit for obtaining the basic information of the historical facility crops
Wherein the history facility crop basic information comprises facility crop bases with various types of characteristics
The information;
a tenth obtaining unit for obtaining the basic information of the historical facility crops
Wherein the history facility crop basic information comprises facility crop bases with various types of characteristics
The information;
an eleventh obtaining unit for obtaining the historical facility crop
The basic information is respectively input into a cyclic neural network model according to the type characteristics of facility crops to carry out
Training to obtain corresponding heat damage evaluation models of various facility crops;
a third construction unit for constructing the training model according to the training model
And constructing a facility crop heat damage evaluation model, and constructing a facility crop heat damage evaluation model library.
8. A system for regulating the specific gravity of physiological and biochemical indexes of crops in facilities is composed of memory and processing unit
A processor and a computer program stored on the memory and executable on the processor, characterized in that,
the processor, when executing the program, implements the steps of the method of any of claims 1-6.
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