CN115004994A - Fruit tree pest control system based on digital map - Google Patents
Fruit tree pest control system based on digital map Download PDFInfo
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Abstract
The invention relates to the technical field of agricultural planting, in particular to a fruit tree pest control system based on a digital map. The orchard management system comprises a map module, a file establishment module and a management platform, wherein the map module is used for establishing a three-dimensional GIS visual orchard digital map according to orchard information; the archive establishing module is used for acquiring the data of the map module and performing unique identification codes on each fruit tree according to the coordinate information, and the archive establishing module is used for recording the information of each fruit tree, and the information of the fruit trees corresponds to the identification codes; the management platform comprises a database, an information acquisition module, a planting assistance module and a disease analysis module, and is used for planting management and disease and pest control management. The fruit tree disease and insect pest prevention and control system based on the digital map can improve the management efficiency of an orchard and effectively treat the disease and insect pest of the fruit tree.
Description
Technical Field
The invention relates to the technical field of agricultural planting, in particular to a fruit tree pest control system based on a digital map.
Background
In many areas of China, the fruit tree industry becomes a local post industry, and makes great contribution to local agricultural efficiency improvement, farmer income increase, even precision poverty alleviation and poverty deprivation enrichment induction. Although the planting area and the yield of fruits in China are large, the variety is large, and the orchard area is large, the management difficulty is high, so most of orchards are backward in management, the quality and the sale price of the fruits are seriously influenced, and the benign development of agricultural products in China is seriously influenced.
And traditional orchard plant diseases and insect pests monitoring often needs plant protection personnel to go to the scene and look over, judges out the condition of plant diseases and insect pests according to the fruit tree growth condition. Although the traditional orchard pest monitoring can detect the pest existing in fruit trees, the pest existing in fruit trees cannot be monitored in real time and in all directions. Further, some fruit trees are probably not found at the early stage of the diseases and insect pests, and the optimal prevention and control period is missed.
Disclosure of Invention
In order to solve the problems, the invention provides a fruit tree pest control system based on a digital map, which can improve the management efficiency of an orchard and effectively treat the pest of the fruit tree.
In order to achieve the purpose, the invention adopts the technical scheme that:
a fruit tree pest control system based on a digital map comprises a map module, a file establishment module and a management platform,
the map module is used for establishing a three-dimensional GIS visual orchard digital map according to orchard information, and the orchard information of the map module comprises the geographic position of the orchard, the surrounding environment of the orchard, the planting terrain of the orchard and the planting position of fruit trees;
the archive establishing module is used for acquiring the data of the map module and performing unique identification codes on each fruit tree according to the coordinate information, and the archive establishing module is used for recording the information of each fruit tree, and the information of the fruit trees corresponds to the identification codes;
the management platform comprises a database, an information acquisition module, a planting assistance module and a disease analysis module,
the database is used for storing fruit tree planting data, fruit tree growth data and fruit tree disease prevention and control data;
the information acquisition module is used for regularly acquiring image information of each fruit tree through an unmanned aerial vehicle, an unmanned vehicle and manual inspection, the unmanned aerial vehicle acquires images of the fruit trees through aerial photography, the unmanned vehicle acquires images of the fruit trees through remote control shooting, and the information acquisition module acquires the growth state of the fruit trees through a machine learning algorithm;
the planting assisting module is used for analyzing and comparing the data of the information acquisition module with the data of the database so as to obtain different fertilizing amounts and different fertilizer types of different fruit trees in different growth periods;
the disease analysis module is used for analyzing and comparing the data of the information acquisition module with the data of the database to judge whether the fruit trees have diseases and insect pests, and the disease analysis module obtains a corresponding disease and insect pest treatment method according to the database.
Further, the unmanned aerial vehicle and the unmanned aerial vehicle can record geographic coordinates so that the shot fruit tree image has geographic coordinate information, the information acquisition module divides the fruit tree image into a plurality of subimages with individual fruit trees according to the archive establishment module, the fruit tree image and corresponding position information and according to image identification, and the information acquisition module can acquire data of the age of the fruit tree, the growth height of the fruit tree, the trunk diameter of the fruit tree, the growth condition of fruit leaves of the fruit tree and the growth condition of fruits of the fruit tree.
Further, the data of the information acquisition module can be sent to the map module so as to acquire the information corresponding to the fruit tree by clicking the map module.
Furthermore, the map module can also record soil fertility data of different positions of the orchard, and the planting assistance module establishes data of the module through the map module and the file to obtain influence values of fruit tree growth in different areas according to the soil fertility data and the illumination data; and the planting assisting module obtains growth state values of different areas according to the influence value and the data of the information acquisition module so as to judge whether the fruit trees grow normally.
Further, the planting assisting module sets fertilization parameters for the fruit trees in different areas according to the growth state values, so that the fruit trees in different areas have corresponding fertilization amounts; and the planting assisting module performs RTK positioning fertilization through an unmanned fertilization vehicle according to the fertilization parameters.
Further, the management platform also comprises a pest prevention module, the pest prevention module comprises an environmental quantity acquisition module, a pest pre-judgment sub-module and a plant protection recording sub-module,
the environment quantity acquisition module is used for acquiring data of soil humidity and temperature of the orchard, wind power of the orchard and weather of the orchard;
the pest and disease pre-judging module is used for acquiring data of the geographic position of the orchard, the surrounding environment of the orchard, the planting terrain of the orchard and the planting position of a fruit tree through the map module, acquiring data of the age of the fruit tree, the growth height of the fruit tree, the trunk diameter of the fruit tree, the growth condition of fruit leaves of the fruit tree and the growth condition of fruits of the fruit tree through the information acquiring module, analyzing and comparing the data of the environment quantity acquiring module, the data of the map module, the data of the information acquiring module and the data of the database to pre-judge the type of pest and disease possibly occurring;
and the plant protection recording submodule is used for recording pest control categories and pest control results.
Further, the pest pre-judging submodule can also acquire data of the plant protection recording submodule, and the pest pre-judging submodule judges probability of each possible pest type according to historical data of pest prevention and control categories, the technology of the environment quantity acquiring module, data of the map module and data of the information acquiring module.
Further, the disease analysis module comprises a disease analysis module, the disease analysis module identifies and judges the type of the disease and insect pest of the fruit tree through AI, and the disease analysis module obtains the coordinate position of the fruit tree with the disease and insect pest according to the data of the map module, so that the disease image judgment submodule judges the reason of the disease and insect pest of the fruit tree and the prevention and control measures of the corresponding disease and insect pest according to the type of the disease and insect pest of the fruit tree, the coordinate position of the fruit tree with the disease and insect pest and the environment data of the orchard through the disease image judgment submodule.
Further, the disease analysis module can also construct a thermodynamic diagram of the pest and disease tree according to coordinate position data of the pest and disease tree, and the disease analysis module obtains the propagation rate of the pest and disease according to the color change data of the thermodynamic diagram; the disease and pest analysis module obtains a growth curve graph of the disease and pest fruit trees according to the number of the disease and pest fruit trees, and obtains a growth rate of the disease and pest according to the growth curve graph; the disease analysis module obtains a prevention and control effective value according to the propagation rate and the growth rate, and when the prevention and control effective value is larger than or equal to an alarm threshold value, the disease analysis module sends an alarm signal to prompt adjustment of prevention and control measures; and when the prevention and control effective value is smaller than an alarm threshold value, the disease analysis module does not execute an alarm action.
The fruit selling system further comprises a selling platform, wherein the selling platform comprises a pricing module, a tracing module and a display module, the pricing module is used for setting the fruit selling price, the pricing module comprises a basic price setting submodule and a price adjusting submodule, the basic price setting submodule is used for obtaining market information, and the basic price setting submodule takes the average price of corresponding fruits as the basic price; the price adjusting submodule is used for acquiring data of the information acquiring module, the planting assisting module and the planting assisting module, corresponding adjusting coefficients are respectively set by the price adjusting submodule according to the shape of fruits, the state of fruit trees, the pest and disease times of the fruit trees and the pest and disease types of the fruit trees, and a final selling price is obtained by the price adjusting submodule according to the basic price and the adjusting coefficients;
the source tracing module is used for attaching an FRID label to the fruit of each fruit tree, and the source tracing module records planting information, picking information and selling information of the fruit in the corresponding fruit tree through the FRID label;
the display module is used for acquiring data of the map module, the file establishing module and the information acquisition module so as to enable the display module to display the fruit growth process picture.
The invention has the beneficial effects that:
1. through combining map module and archives establishment module, can carry out the identification code with the fruit tree according to geographical position and build the file for each fruit tree can both manage alone, realizes audio-visual map image show through orchard digital map moreover, forms audio-visual work platform, has solved that orchard management falls behind wide, has seriously influenced the quality of fruit and the drawback of selling the price. Under the action of the information acquisition module, the picture information of the fruit trees can be acquired by using the unmanned aerial vehicle and the unmanned aerial vehicle, so that the subsequent fruit tree management is facilitated; meanwhile, the planting assisting module and the disease analysis module utilize the data of the database and the information acquisition module to monitor the growth state of the fruit tree in real time, so that the fruit tree can grow normally, and can be treated in time when the fruit tree is in the early stage of disease and insect damage, thereby treating the fruit tree in the best prevention and treatment period.
2. Because the fruit tree images shot by the unmanned aerial vehicle and the unmanned aerial vehicle have geographic coordinate information, the information acquisition module can be used for segmenting the images according to the coordinate information of the images and the content of the images, and each segmented subimage can correspond to an actual fruit tree, so that the information acquisition module can be used for recombining the subimages to obtain a complete fruit tree image, and the growth height of the fruit tree, the trunk diameter of the fruit tree, the growth condition of fruit leaves of the fruit tree and the growth data of fruits of the fruit tree can be conveniently obtained through identification and analysis.
3. Because the area of the orchard is large, the illumination time, the illumination intensity and the soil fertility at different positions in the orchard are different, under the influence of objective factors, the shapes of fruit trees at different positions in the orchard are also different even if the fruit trees grow normally; if the fertilizing amount and the fertilizing strength are increased for the fruit trees influenced by the objective factors, the conditions of unbalance of tree nutrient elements, fruit tree poisoning and influence on the fruit quality can be caused, so that the invention avoids errors caused by the fact that the planting assisting module passes through the fruit tree shape by setting the influence value, thereby applying excessive fertilizer to the fruit trees influenced by the objective factors and ensuring that all the fruit trees can be properly fertilized. And carry out RTK location fertilization through unmanned tumbrel, can effectively reduce staff's work load, improve the managerial efficiency in orchard.
Drawings
Fig. 1 is a block diagram of a fruit tree pest control system based on a digital map according to a preferred embodiment of the present invention.
In the drawing, the system comprises a map module, a file establishing module, a management platform, a database, an information acquisition module, a planting assisting module, a disease analysis module, a sales platform, a pricing module, a basic price setting sub-module, a price adjusting sub-module, a source tracing module, a display module, a disease and insect prevention sub-module, a plant protection recording sub-module, a resource management sub-module, a sub-module.
Detailed Description
Referring to fig. 1, a fruit tree pest control system based on a digital map according to a preferred embodiment of the present invention includes a map module 1, a file creation module 2, a management platform 3, and a sales platform 4.
The map module 1 is used for establishing a three-dimensional GIS visual orchard digital map according to orchard information, and the orchard information of the map module 1 comprises the geographic position of the orchard, the surrounding environment of the orchard, the planting terrain of the orchard and the planting position of fruit trees.
The archive establishing module 2 is used for acquiring the data of the map module 1 and performing unique identification codes on each fruit tree according to the coordinate information, and the archive establishing module 2 is used for recording the information of each fruit tree, and the information of the fruit trees corresponds to the identification codes.
The management platform 3 comprises a database 31, an information acquisition module 32, a planting assistance module 33 and a disease analysis module 34,
the database 31 is used for storing fruit tree planting data, fruit tree growth data and fruit tree disease control data.
The information acquisition module 32 is used for regularly acquiring image information of each fruit tree through an unmanned aerial vehicle, an unmanned vehicle and manual inspection, the unmanned aerial vehicle acquires images of the fruit trees through aerial photography, the unmanned vehicle acquires images of the fruit trees through remote control shooting, and the information acquisition module 32 acquires the growth state of the fruit trees through a machine learning algorithm.
The planting assisting module 33 is used for analyzing and comparing the data of the information acquiring module 32 with the data of the database 31 to obtain different fertilizing amounts and different fertilizer types of different fruit trees in different growth periods.
The disease analysis module 34 is used for analyzing and comparing the data of the information acquisition module 32 with the data of the database 31 to determine whether there is a disease or an insect pest in the fruit tree, and the disease analysis module 34 obtains a corresponding disease or an insect pest treatment method according to the database 31.
Through combining map module 1 and archives establishment module 2, can carry out the identification code with the fruit tree according to geographical position and build the file for each fruit tree can both manage alone, realizes audio-visual map image show through orchard digital map moreover, forms audio-visual work platform, has solved that orchard management falls behind wide, has seriously influenced the quality of fruit and the drawback of selling the price. Under the action of the information acquisition module, the picture information of the fruit trees can be acquired by using the unmanned aerial vehicle and the unmanned aerial vehicle, so that the subsequent fruit tree management is facilitated; meanwhile, the planting assisting module 33 and the disease analyzing module 34 monitor the growth state of the fruit tree in real time by using the data of the database 31 and the information acquiring module 32, so that the fruit tree can grow normally, and can be treated in time when the fruit tree is in the early stage of disease and insect damage, thereby treating the fruit tree in the optimal prevention and treatment period.
In this embodiment, the unmanned aerial vehicle and the unmanned vehicle can record geographic coordinates, so that the photographed fruit tree image has geographic coordinate information, the information acquisition module 32 divides the fruit tree image into a plurality of subimages with individual fruit trees according to the archive establishment module 2, the fruit tree image and corresponding position information and according to image recognition, so that the information acquisition module 32 can obtain data of the age of the fruit tree, the growth height of the fruit tree, the trunk diameter of the fruit tree, the growth condition of fruit leaves of the fruit tree and the growth condition of fruits of the fruit tree. .
Because the fruit tree images shot by the unmanned aerial vehicle and the unmanned aerial vehicle have geographic coordinate information, the information acquisition module 32 can be used for segmenting the images according to the coordinate information of the images and the content of the images, and each segmented subimage can correspond to an actual fruit tree, so that the information acquisition module 32 can be used for recombining the subimages to obtain a complete fruit tree image, and the growth height of the fruit tree, the trunk diameter of the fruit tree, the growth condition of fruit leaves of the fruit tree and the growth data of fruits of the fruit tree can be conveniently obtained through identification and analysis.
The data of the information obtaining module 32 can be sent to the map module 1, so as to obtain the information of the corresponding fruit tree by clicking the map module 1. The situation of the orchard can be mastered through the map module 1, and the management efficiency of the orchard is improved. Preferably, can install the camera in the orchard equipartition, the different cameras are responsible for the control in different regions, and fruit tree identification code and positional information can convert control signal into, and through clicking the fruit tree at map module 1, the camera can remove and shine corresponding fruit tree to make managers can master the implementation image of fruit tree.
In this embodiment, the map module 1 can also record soil fertility data of different positions in the orchard, and the planting assistance module 33 obtains influence values of fruit tree growth in different areas according to the soil fertility data and the illumination data through the data of the map module 1 and the data of the archive building module 2; the planting assisting module 33 obtains growth state values of different areas according to the influence values and the data of the information obtaining module 32 to judge whether the fruit trees grow normally.
Because the area of the orchard is large, the illumination time, the illumination intensity and the soil fertility at different positions in the orchard are different, under the influence of objective factors, the shapes of fruit trees at different positions in the orchard are also different even if the fruit trees grow normally; if the fertilizing amount and the fertilizing strength are increased for the fruit trees influenced by the objective factors, the unbalance of tree nutrient elements, the fruit tree poisoning and the influence on the fruit quality can be caused, so that the error caused by the planting assisting module 33 through the fruit tree shape is avoided by setting the influence value, excessive fertilizer is applied to the fruit trees influenced by the objective factors, and the proper fertilization of all the fruit trees is ensured.
The planting assisting module 33 sets fertilization parameters for the fruit trees in different areas according to the growth state values so that the fruit trees in different areas have corresponding fertilization amounts; the planting assisting module 33 performs RTK positioning fertilization according to the fertilization parameters and by an unmanned fertilization car. Utilize unmanned tumbrel to carry out RTK location fertilization, can effectively reduce staff's work load, improve the managerial efficiency in orchard.
In this embodiment, the management platform 3 further includes a pest prevention module 35, and the pest prevention module 35 includes an environmental quantity acquisition module 351, a pest pre-judgment sub-module 352, and a plant protection record sub-module 353.
The environment quantity acquisition module 351 is used for acquiring data of soil humidity and temperature of the orchard, wind power of the orchard and weather of the orchard.
The pest and disease pre-judging sub-module 352 is used for acquiring data of the geographic position of the orchard, the surrounding environment of the orchard, the planting terrain of the orchard and the planting position of fruit trees through the map module 1, the pest and disease pre-judging sub-module 352 is used for acquiring data of the age of the fruit trees, the growth height of the fruit trees, the trunk diameter of the fruit trees, the growth conditions of fruit leaves of the fruit trees and the growth conditions of fruits of the fruit trees through the information acquisition module 32, and the pest and disease pre-judging sub-module 352 analyzes and compares the data of the environment quantity acquisition module 351, the data of the map module 1 and the data of the information acquisition module 32 with the data of the database 31 to pre-judge the types of pests which may occur;
the plant protection recording submodule 353 is used for recording pest control categories and pest control results.
The types of the diseases and insect pests can be different according to the conditions of the topography of the orchard, the gradient of the orchard, the surrounding environment of the orchard, the growth period of fruit trees, the age of the fruit trees and the like, for example, the flat land ponding area has high humidity, the probability of snail and disease occurrence is high, the probability of snail occurrence on the slope is low, but if wind is large, the probability of ulcer occurrence is high; the weeds are more and dense, diseases and pests are easy to occur, surrounding environment diseases and pests are more and normal trees are also easy to generate the diseases and pests. The pest and disease damage pre-judging sub-module 352 of the embodiment pre-judges the type of the possible disease of the fruit tree by analyzing and comparing the parameters of the environment quantity obtaining module 351, the map module 1 and the information obtaining module 32 with the database 31, thereby realizing early prevention and ensuring the healthy growth of the fruit tree.
In this embodiment, the pest pre-judging submodule 352 may further obtain data of the plant protection recording submodule 353, and the pest pre-judging submodule 352 may judge a probability of each possible pest type according to historical data of pest prevention and control categories, a technology of the environmental quantity obtaining module 351, data of the map module 1, and data of the information obtaining module 32.
The pest pre-judging module 352 pre-judges the following pest conditions according to the historical pest prevention and control categories, such as the plant protection prevention and control thrips for the last several times, and the probability of occurrence of the next thrips may be low. Therefore, the pest prediction submodule 352 combines the data of the plant protection recording submodule 353 to further accurately predict the occurrence probability of the pest type, so as to perform targeted prevention.
If the recent weather conditions are overcast and rainy, high humidity and high temperature, the fruit tree is in 7 months in the month, the terrain of the fruit tree is flat, the peripheral environment has more weeds, 4-level wind power, the fruit tree is in a young fruit period, the plant protection record is the thrips prevention and control, and meanwhile, the pest pre-judging submodule 352 predicts 82% of snail diseases, 21% of leaf miner and 12% of scale insect by combining the data of the database 31.
In this embodiment, the disease analysis module 34 determines the type of the disease and insect pest of the fruit tree through AI identification, and the disease analysis module 34 obtains the coordinate position of the fruit tree with the disease and insect pest according to the data of the map module 1, so that the disease analysis module 34 determines the cause of the disease and insect pest of the fruit tree and the prevention and control measures of the corresponding disease and insect pest according to the type of the disease and insect pest of the fruit tree, the coordinate position of the fruit tree with the disease and insect pest and the environmental data of the orchard through the database 31. The disease analysis module 34 utilizes the type of the fruit tree diseases and insect pests, the coordinate position of the fruit tree with the diseases and insect pests and the environment data of the orchard, and combines the topographic factors, thereby accurately judging the causes of the fruit tree diseases and insect pests and improving the effect of the disease and insect pest prevention and control measures.
The disease analysis module 34 can also construct a thermodynamic diagram of the pest and disease fruit tree according to the coordinate position data of the pest and disease fruit tree, and the disease analysis module 34 obtains the spreading rate of the pest and disease according to the color change data of the thermodynamic diagram; obtaining a growth curve chart of the disease and insect pest fruit trees according to the number of the disease and insect pest fruit trees, and obtaining the growth rate of the disease and insect pest by the disease analysis module 34 according to the growth curve chart; the disease analysis module 34 obtains a prevention and control effective value according to the propagation rate and the growth rate, and when the prevention and control effective value is greater than or equal to the alarm threshold value, the disease analysis module 34 sends an alarm signal to prompt adjustment of prevention and control measures; when the prevention and control effective value is smaller than the alarm threshold value, the disease analysis module 34 does not execute the alarm action.
The disease analysis module 34 of this embodiment comprehensively determines the prevention and control effect through the propagation rate and the growth rate of the disease and insect pest, and when the prevention and control effective value is greater than or equal to the alarm threshold, it is proved that the prevention and control measure has no obvious effect, and the disease and insect pest are prevented from aggravating by adjusting the prevention and control measure in time; and when the prevention and control effective value is smaller than the alarm threshold value, the prevention and control measures are proved to be capable of effectively inhibiting plant diseases and insect pests.
The sales platform comprises a pricing module 41, a tracing module 42 and a display module 43.
The pricing module 41 is used for setting the fruit selling price, the pricing module 41 comprises a basic price setting submodule 411 and a price adjusting submodule 412, the basic price setting submodule 411 is used for obtaining market information, and the basic price setting submodule 411 takes the average price of corresponding fruits as the basic price; the price adjusting submodule 412 is used for acquiring data of the information acquiring module 32, the planting assisting module 33 and the planting assisting module 33, the price adjusting submodule 412 sets corresponding adjusting coefficients according to the shape of the fruit, the state of the fruit tree, the pest frequency of the fruit tree and the pest type of the fruit tree, and the price adjusting submodule 412 obtains a final selling price according to the basic price and the adjusting coefficients.
In the embodiment, different adjustment coefficients are set according to different grades according to the shape of the fruit, the state of the fruit tree, the pest frequency of the fruit tree and the pest type of the fruit tree, and the sales price can be reasonably set through the adjustment coefficients so as to improve the sales rate and avoid fruit accumulation.
The traceability module 42 is used for attaching an rfid tag to the fruit of each fruit tree, and the traceability module 42 records the planting information, the picking information and the sales information of the fruit in the corresponding fruit tree through the rfid tag. By electronizing the fruit tree archives and the land parcel information and completing the access to the network, a data chain from production to sale is opened. By means of FRID technology, the process track from harvesting to selling of the fruits is accurately tracked. Visual real-time monitoring of production and marketing conditions in the production area is realized by combining accurate estimation of the yield of a single fruit tree and timely acquisition of land parcel picking data.
The display module 43 is used for data acquisition of the map module 1, the archive establishing module 2 and the information acquiring module 32, so that the display module 43 displays a fruit growth process picture. Under the effect of show module 43, the customer can know the planting process, helps reducing customer's safety worry, can show the growth state of fruit moreover, improves the purchase desire.
The fruit tree pest control based on the digital map comprises the following steps:
s1, establishing a three-dimensional GIS visual orchard digital map according to the orchard information, and performing unique identification codes on each fruit tree according to the coordinate information so that the information of the fruit trees corresponds to the identification codes.
S2, establishing a database 31 according to the fruit tree planting data, the fruit tree growth data and the fruit tree disease control data.
S4, regularly acquiring image information of each fruit tree through the unmanned aerial vehicle and the unmanned aerial vehicle, wherein the unmanned aerial vehicle and the unmanned aerial vehicle can record geographic coordinates so that the shot fruit tree images have geographic coordinate information; and dividing the fruit tree image into a plurality of subimages with individual fruit trees to obtain the data of the growth height of the fruit trees, the trunk diameter of the fruit trees, the growth condition of the fruit leaves of the fruit trees and the growth condition of the fruits of the fruit trees.
S5, analyzing and comparing the subimages of the fruit tree with the data of the database 31 to obtain the fertilizing amount and the fertilizer type corresponding to the fruit tree, and obtaining the influence value of the growth of the fruit tree according to the soil fertility data and the illumination data, and adjusting the fertilizing amount according to the influence value.
And S6, the pest pre-judging sub-module 352 judges the probability of each type of pest which may appear according to the historical data of pest control type, the technology of the environment quantity obtaining module 351, the data of the map module 1 and the data of the information obtaining module 32.
S7, analyzing and comparing the sub-images of the fruit trees with the data of the database 31 to judge whether the fruit trees have diseases and insect pests, and obtaining a corresponding disease and insect pest treatment method according to the database 31; the type of the disease and insect pest of the fruit tree is judged through AI identification, so that the reason of the disease and insect pest of the fruit tree and the prevention and control measures of the corresponding disease and insect pest are judged according to the type of the disease and insect pest of the fruit tree, the coordinate position of the disease and insect pest fruit tree and the environment data database 31 of the orchard.
S8, constructing thermodynamic diagrams of the pest and disease tree according to coordinate position data of the pest and disease tree, and obtaining the spreading rate of the pest and disease through color change data of the thermodynamic diagrams; obtaining a growth curve chart of the disease and insect pest fruit trees according to the number of the disease and insect pest fruit trees, and obtaining the growth rate of the disease and insect pest through the growth curve chart; and obtaining a prevention and control effective value by combining the propagation rate and the growth rate, and judging whether the prevention and control measures have effects or not according to the prevention and control effective value.
Claims (10)
1. A fruit tree pest control system based on a digital map is characterized by comprising a map module (1), a file establishment module (2) and a management platform (3),
the map module (1) is used for establishing a three-dimensional GIS visual orchard digital map according to orchard information, and the orchard information of the map module (1) comprises the geographic position of the orchard, the surrounding environment of the orchard, the planting terrain of the orchard and the planting position of fruit trees;
the archive establishing module (2) is used for acquiring data of the map module (1) and performing unique identification codes on each fruit tree according to coordinate information, the archive establishing module (2) is used for recording information of each fruit tree, and the information of the fruit trees corresponds to the identification codes;
the management platform (3) comprises a database (31), an information acquisition module (32), a planting assistance module (33) and a disease analysis module (34),
the database (31) is used for storing fruit tree planting data, fruit tree growth data and fruit tree disease control data;
the information acquisition module (32) is used for regularly acquiring image information of each fruit tree through an unmanned aerial vehicle, an unmanned vehicle and manual inspection, the unmanned aerial vehicle acquires images of the fruit trees through aerial photography, the unmanned vehicle acquires the images of the fruit trees through remote control shooting, and the information acquisition module (32) acquires the growth state of the fruit trees through a machine learning algorithm;
the planting assisting module (33) is used for analyzing and comparing the data of the information acquisition module (32) with the data of the database (31) to obtain different fertilizing amounts and different fertilizer types of different fruit trees in different growth periods;
the disease analysis module (34) is used for analyzing and comparing the data of the information acquisition module (32) with the data of the database (31) to judge whether the fruit trees have diseases and insect pests, and the disease analysis module (34) obtains a corresponding disease and insect pest treatment method according to the database (31).
2. The fruit tree pest control system based on the digital map as claimed in claim 1, wherein: the unmanned aerial vehicle and the unmanned aerial vehicle can record geographic coordinates so that the shot fruit tree image has geographic coordinate information, the information acquisition module (32) divides the fruit tree image into a plurality of subimages with individual fruit trees according to the archive establishment module (2), the fruit tree image and corresponding position information and according to image identification, and the information acquisition module (32) can acquire the tree age of the fruit trees, the growth height of the fruit trees, the plant diameter of the fruit trees, the growth conditions of fruit leaves of the fruit trees and the growth conditions of fruits of the fruit trees.
3. The fruit tree pest control system based on the digital map as claimed in claim 2, wherein: the data of the information acquisition module (32) can be sent to the map module (1) so as to acquire the information corresponding to the fruit tree by clicking the map module (1).
4. The fruit tree pest control system based on the digital map as claimed in claim 2, wherein: the map module (1) can also record soil fertility data of different positions of the orchard, and the planting assistance module (33) obtains influence values of fruit tree growth in different areas according to the soil fertility data and the illumination data through the data of the map module (1) and the data of the archive establishment module (2); the planting assisting module (33) obtains growth state values of different areas according to the influence values and the data of the information obtaining module (32) so as to judge whether the fruit trees grow normally.
5. The fruit tree pest control system based on the digital map as claimed in claim 4, wherein: the planting assisting module (33) sets fertilization parameters for the fruit trees in different areas according to the growth state values so that the fruit trees in different areas have corresponding fertilization amounts; and the planting assisting module (33) performs RTK positioning fertilization through an unmanned fertilization vehicle according to the fertilization parameters.
6. The fruit tree pest control system based on the digital map as claimed in claim 2, wherein: the management platform (3) further comprises a disease and pest prevention module (35), the disease and pest prevention module (35) comprises an environmental quantity acquisition module (351), a disease and pest pre-judgment sub-module (352) and a plant protection recording sub-module (353),
the environment quantity acquisition module (351) is used for acquiring data of soil humidity and temperature of the orchard, wind power of the orchard and weather of the orchard;
the pest and disease pre-judging module (352) is used for acquiring data of the geographical position of the orchard, the surrounding environment of the orchard, the planting terrain of the orchard and the planting position of fruit trees through the map module (1), the pest and disease pre-judging module (352) acquires data of the age of the fruit trees, the growth height of the fruit trees, the plant diameter of the fruit trees, the growth condition of fruit leaves of the fruit trees and the growth condition of fruits of the fruit trees through the information acquisition module (32), and the pest and disease pre-judging module (352) analyzes and compares the data of the environment quantity acquisition module (351), the data of the map module (1), the data of the information acquisition module (32) and the data of the database (31) to judge possible pest and disease types;
and the plant protection recording submodule (353) is used for recording the pest control categories and the pest control results.
7. The fruit tree pest control system based on the digital map as claimed in claim 6, wherein: the plant disease and insect pest pre-judging submodule (352) can also acquire data of the plant protection recording submodule (353), and the plant disease and insect pest pre-judging submodule (352) judges the probability of each possible disease and insect pest type according to historical data of disease and insect pest prevention and control categories, the technology of the environment quantity acquiring module (351), the data of the map module (1) and the data of the information acquiring module (32).
8. The fruit tree pest control system based on the digital map according to claim 1, characterized in that: the disease analysis module (34) comprises a disease analysis module (34), the disease analysis module (34) identifies and judges the types of fruit tree diseases and insect pests through AI, the disease analysis module (34) obtains the coordinate positions of the fruit trees with the diseases and the insect pests according to the data of the map module (1), so that the disease image judgment sub-module (341) judges the causes of the diseases and the insect pests of the fruit trees and the prevention and control measures of the corresponding diseases and the insect pests according to the types of the fruit trees with the diseases and the insect pests, the coordinate positions of the fruit trees with the diseases and the insect pests and the environment data of the orchard, and the database (31).
9. The fruit tree pest control system based on the digital map as claimed in claim 7, wherein: the disease analysis module (34) can also construct a thermodynamic diagram of the pest and disease tree according to coordinate position data of the pest and disease tree, and the disease analysis module (34) obtains the spreading rate of the pest and disease according to the color change data of the thermodynamic diagram; the growth curve graph of the disease and insect pest fruit trees is obtained according to the number of the disease and insect pest fruit trees, and the disease analysis module (34) obtains the growth rate of the disease and insect pest according to the growth curve graph; the disease analysis module (34) obtains a prevention and control effective value according to the propagation rate and the growth rate, and when the prevention and control effective value is greater than or equal to an alarm threshold value, the disease analysis module (34) sends an alarm signal to prompt adjustment of prevention and control measures; and when the prevention and control effective value is smaller than an alarm threshold value, the disease analysis module (34) does not execute an alarm action.
10. The fruit tree pest control system based on the digital map according to claim 1, characterized in that: the fruit selling system is characterized by further comprising a selling platform (4), wherein the selling platform comprises a pricing module (41), a tracing module (42) and a display module (43), the pricing module (41) is used for setting the fruit selling price, the pricing module (41) comprises a basic price setting submodule (411) and a price adjusting submodule (412), the basic price setting submodule (411) is used for obtaining market information, and the basic price setting submodule (411) takes the average price of corresponding fruits as the basic price; the price adjusting submodule (412) is used for acquiring data of the information acquiring module (32), the planting assisting module (33) and the planting assisting module (33), the price adjusting submodule (412) is used for setting corresponding adjusting coefficients according to the shape of fruits, the state of fruit trees, the pest and disease frequency of the fruit trees and the pest and disease types of the fruit trees, and the price adjusting submodule (412) is used for acquiring a final sale price according to the basic price and the adjusting coefficients;
the source tracing module (42) is used for attaching an FRID label to the fruit of each fruit tree, and the source tracing module (42) records planting information, picking information and selling information of the fruit in the corresponding fruit tree through the FRID label;
the display module (43) is used for data acquisition of the map module (1), the archive establishment module (2) and the information acquisition module (32), so that the display module (43) displays a fruit growth process picture.
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