WO2017042790A2 - System and method of pest alert in crops - Google Patents
System and method of pest alert in crops Download PDFInfo
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- WO2017042790A2 WO2017042790A2 PCT/IB2016/056451 IB2016056451W WO2017042790A2 WO 2017042790 A2 WO2017042790 A2 WO 2017042790A2 IB 2016056451 W IB2016056451 W IB 2016056451W WO 2017042790 A2 WO2017042790 A2 WO 2017042790A2
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- crops
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- 241000607479 Yersinia pestis Species 0.000 title claims abstract description 30
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000013473 artificial intelligence Methods 0.000 claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 9
- 238000003860 storage Methods 0.000 claims description 11
- 238000013480 data collection Methods 0.000 claims description 9
- 238000013481 data capture Methods 0.000 claims description 8
- 238000007405 data analysis Methods 0.000 claims description 6
- 238000011065 in-situ storage Methods 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 3
- 238000012544 monitoring process Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 8
- 206010061217 Infestation Diseases 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 230000007613 environmental effect Effects 0.000 description 4
- 230000002265 prevention Effects 0.000 description 4
- 238000012271 agricultural production Methods 0.000 description 3
- 239000003905 agrochemical Substances 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000008029 eradication Effects 0.000 description 2
- 230000001737 promoting effect Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000013456 study Methods 0.000 description 2
- 241000845082 Panama Species 0.000 description 1
- 241000221535 Pucciniales Species 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 235000021028 berry Nutrition 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000009313 farming Methods 0.000 description 1
- 235000021393 food security Nutrition 0.000 description 1
- 230000002688 persistence Effects 0.000 description 1
- 230000003449 preventive effect Effects 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 238000005728 strengthening Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Definitions
- the present invention is included within the agricultural sector, and in particular it relates to the systems to prevent environmental impact and pests in crops.
- the present invention relates to a collaborative platform based on a system capable of providing alerts, to help prevent the impact of pests on crops.
- it is based on a tool that manages the collective knowledge for the identification, prevention, control and eradication of pests, allowing the user to access and share techniques, methods, technologies, studies and research which impact economic, ecological, agrochemical handling and health aspects associated to agricultural activities.
- the present invention relates to a pest alert system in crops based on the continuous monitoring of crop quality, with the aim of helping users optimize their production through a series of alerts about possible threats or existence of pests, and providing detailed information on how to control and eradicate these infestations.
- the system of the present invention is a collaborative network where users can have access to information and statistics of the affected regions, by means of graphic complements and friendly interface, to thus take the necessary prevention measures.
- the main objective of the present invention is to manage the collective knowledge about pests which may affect crops by means of a platform that uses emerging technologies and emits alerts that are sent through different communication media in accordance with specific criteria such as region, crop, severity and others.
- the present invention also fulfils the following objectives:
- a platform composed of multiple sources of information which has the capacity of notifying users on possible infestations, acting as a preventive tool that aids the producer to implement the recommended measures and/or techniques according to the pest, field conditions and infestation level.
- a first aspect of the present invention relates to a pest alert system in crops, comprising an information sources system responsible for obtaining information regarding the state of the crops and an alert generation system, which in turn comprises a data processing unit, an artificial intelligence algorithm and an alert emission unit.
- the data processing unit is configured to process the information received by the information sources system
- the artificial intelligence algorithm is configured to verify compliance with alert conditions established in one or several rules for the appearance of pests.
- the alert emission unit responsible for emitting alerts when said alert conditions are fulfilled.
- the artificial intelligence algorithm is preferably configured to perform an intelligent data analysis process and a comparison of parameters using rule databases to verify compliance with the alert conditions.
- the artificial intelligence algorithm may be configured to, by means of automatic learning, perform an automatic adjustment of parameters.
- the system may comprise a storage system formed by one or several system databases for the storage of the information processed and analysed by the alert generation system.
- the information sources system may comprise a field-data collection module to obtain reference data on the state of the crops.
- Said field-data collection module may comprise a plurality of sensors for the in situ capture of data on the crops, and may be configured to obtaining information of the crops from satellite devices or of weather stations.
- the information sources system may also comprise data capture devices (such as unmanned vehicles, image capture devices and portable devices) and external databases, such as web services.
- a second aspect of the present invention relates to a method of pest alert in crops, comprising the obtainment of information regarding the state of the crops; processing the information received to check, applying an artificial intelligence algorithm, the compliance with the conditions established in one or several rules for the appearance of pests; and emit alerts when said conditions are fulfilled.
- the method comprises performing, by means of the artificial intelligence algorithm, an intelligent data analysis process and a comparison of parameters using rule databases to verify compliance with the alert conditions.
- the method may also comprise performing an automatic adjustment of parameters by means of an automatic learning implemented by the artificial intelligence algorithm.
- the method may comprise storage of the information processed and analysed using a relational database engine, MySQL server.
- Figure 1 shows a general diagram of the early alert system of pests in crops.
- Figures 2A, 2B and 2C illustrate, respectively, a diagram of the field-data collection module, data capture devices and external databases which form part of the information sources system.
- Figure 3 shows a diagram with the components of the alert generation system.
- Figure 4 shows a diagram with the components of the system database.
- the present invention relates to a system capable of supplying alerts in the agricultural sector to mitigate impacts produced by pests on crops. To do this, it uses a storage system, an alert generation system and a data input and output system which indicate to the user the probability of there being pests in a certain region.
- Figure 1 shows a diagram of the system to prevent the impact of pests on crops according to the present invention.
- the system comprises an information sources system 10, an alert generation system 20 and a storage system 30.
- the information sources system 10 comprises a field-data collection module 1 which allows the obtainment of reference data.
- Data capture devices 2 and external databases 3 can also be used as sources of information.
- the data from information sources can also be handled and processed by the community of experts 4 and by users 5.
- the information sources system 10 sends information regarding the state of the crops to the alert generation system 20.
- said relevant information is supplied to a data processing unit 6.
- an artificial intelligence algorithm 7 is responsible for performing the intelligent analysis of the data processed, sending in turn said data analysed to an alert emission unit 8. All the information processed and analysed is finally stored in a system database 9 which forms part of the storage system 30, and is distributed to the users 5 and experts 4 for its review.
- Figure 2A shows a diagram of the field-data collection module 1 , which comprises sensors 1a for data capture in the crops in situ (e.g. moisture, temperature), microcontroller 1 b, portable storage module 1 c, which guarantee data reliability.
- the field-data collection module 1 can also use information collected by satellite devices 1 d and weather stations 1e (e.g. geolocation data, weather forecasts, etc.).
- Figure 2B illustrates the data capture devices 2, which may include, among others, unmanned vehicles 2a, known as UAVs, image capture devices 2b and portable devices 2c, such as, for example, smartphones.
- a diagram of the external databases 3 is represented in figure 2C.
- FIG. 3 shows a diagram of the process executed in the alert generation system 20.
- the data processing unit 6 it studies the information received by the information sources system 10 by means of the data analysis 600, and it classifies the relevant information by means of data cleansing 602.
- An artificial intelligence algorithm 7 is responsible for performing an intelligent data analysis process 700, followed by a series of steps using rule databases which give rise to the comparison of parameters 702 and, by means of automatic learning, it achieves the automatic adjustment of parameters 704.
- the alert emission unit 8 performs the emission of alerts 800.
- the rules for the appearance of pests may be reported by the users 5 or by the community of experts 4, or may be generated automatically in the automatic parameter adjustment process 7c.
- Figure 4 shows the storage of information in the system database 9, which uses a relational database engine, MySQL server 9a.
- the data communication of the alert generation system 20 with the system database 9 is performed by means of a Persistence Framework 9b.
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- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- Public Health (AREA)
- Pathology (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Catching Or Destruction (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
System and method of pest alert in crops. The system comprises an information sources system (10) which obtains information regarding the state of the crops and an alert generation system (20) comprising: a data processing unit (6) configured to process the information received by the information sources system (10); an artificial intelligence algorithm (7) configured to verify compliance with alert conditions established in one or several rules for the appearance of pests; and an alert emission unit (8) responsible for emitting alerts (800) when said alert conditions are fulfilled. The system allows maintaining a constant monitoring of the production areas to alert in the event of unexpected alert situations.
Description
SYSTEM AND METHOD OF PEST ALERT IN CROPS
FIELD OF THE INVENTION
The present invention is included within the agricultural sector, and in particular it relates to the systems to prevent environmental impact and pests in crops.
BACKGROUND OF THE INVENTION
According to the World Bank, a fundamental source of financial and technical assistance for developing countries throughout the world, agricultural development is one of the most effective instruments for ending extreme poverty, promoting shared prosperity and feeding a population expected to reach 9000 million inhabitants by 2050. The growth in the agricultural sector is between two and four times more effective than that of other sectors to increase the revenue of the poorest people. It is something important for the 78 % of the poor people who live in rural areas in the world and who mainly depend on their agricultural production to survive. Farming is also crucial for economic growth, since it represents a third of the gross domestic product (GDP) and three quarters of jobs in African countries situated to the south of the Sahara.
In recent years, various regions in the world are being affected by the attack of pests and diseases in crops, causing considerable loss in agricultural production. According to general statistical data, since statistical data are lacking in specific places, numerous American countries have decreased levels of agricultural production, product of the attacks of pests and disease which in some way or another are presented as adversities that affect productivity. An example of this is recorded in Panama in 2013 where pests such as berry borer and coffee rusts caused losses of 45% in 20000 hectares sown, declaring a phytosanitary emergency.
The lack of information about the effects produced by the environmental impacts, prevention measures and implementation of technologies about the infestations are others of the problems faced by farmers, as technological alternatives are outside their reach, which limits the availability of information, keeping the agricultural community incommunicado about the different infestations present in the crops.
The agricultural community, therefore, has the need to increase the quantity and quality of knowledge about pests that affect crops and to constantly monitor the production areas to give solutions to the various situations more efficiently.
DESCRIPTION OF THE INVENTION The present invention relates to a collaborative platform based on a system capable of providing alerts, to help prevent the impact of pests on crops. In particular, it is based on a tool that manages the collective knowledge for the identification, prevention, control and eradication of pests, allowing the user to access and share techniques, methods, technologies, studies and research which impact economic, ecological, agrochemical handling and health aspects associated to agricultural activities.
The present invention relates to a pest alert system in crops based on the continuous monitoring of crop quality, with the aim of helping users optimize their production through a series of alerts about possible threats or existence of pests, and providing detailed information on how to control and eradicate these infestations. The system of the present invention is a collaborative network where users can have access to information and statistics of the affected regions, by means of graphic complements and friendly interface, to thus take the necessary prevention measures.
The main objective of the present invention is to manage the collective knowledge about pests which may affect crops by means of a platform that uses emerging technologies and emits alerts that are sent through different communication media in accordance with specific criteria such as region, crop, severity and others.
The present invention also fulfils the following objectives:
Decrease the environmental and economic impact caused by the incorrect use and excess of agrochemicals due to lack of information and techniques on pest prevention, control and eradication measures.
Provide statistical data in specific places within the plantations in order to perform research in pro of the agricultural development of a specific region.
Use of a web app that can be used for monitoring environmental variables.
Promoting the exchange of experiences, ideas, knowledge, among others socially integrating common stakeholders.
Contributing to improving the health and productivity of crops, the decrease in pest handling costs, conservation of the environment and strengthening food security of countries or regions.
In order to achieve these objectives, a platform is provided composed of multiple sources of information which has the capacity of notifying users on possible infestations, acting as a preventive tool that aids the producer to implement the recommended measures and/or techniques according to the pest, field conditions and infestation level.
A first aspect of the present invention relates to a pest alert system in crops, comprising an information sources system responsible for obtaining information regarding the state of the crops and an alert generation system, which in turn comprises a data processing unit, an artificial intelligence algorithm and an alert emission unit. The data processing unit is configured to process the information received by the information sources system, and the artificial intelligence algorithm is configured to verify compliance with alert conditions established in one or several rules for the appearance of pests. The alert emission unit responsible for emitting alerts when said alert conditions are fulfilled.
The artificial intelligence algorithm is preferably configured to perform an intelligent data analysis process and a comparison of parameters using rule databases to verify compliance with the alert conditions. The artificial intelligence algorithm may be configured to, by means of automatic learning, perform an automatic adjustment of parameters.
The system may comprise a storage system formed by one or several system databases for the storage of the information processed and analysed by the alert generation system.
The information sources system may comprise a field-data collection module to obtain reference data on the state of the crops. Said field-data collection module may comprise a plurality of sensors for the in situ capture of data on the crops, and may be configured to obtaining information of the crops from satellite devices or of weather stations.
The information sources system may also comprise data capture devices (such as unmanned vehicles, image capture devices and portable devices) and external databases, such as web services.
A second aspect of the present invention relates to a method of pest alert in crops, comprising the obtainment of information regarding the state of the crops; processing the information received to check, applying an artificial intelligence algorithm, the compliance with the conditions established in one or several rules for the appearance of pests; and emit alerts when said conditions are fulfilled.
The method comprises performing, by means of the artificial intelligence algorithm, an intelligent data analysis process and a comparison of parameters using rule databases to verify compliance with the alert conditions. The method may also comprise performing an automatic adjustment of parameters by means of an automatic learning implemented by the artificial intelligence algorithm. The method may comprise storage of the information processed and analysed using a relational database engine, MySQL server.
DESCRIPTION OF THE FIGURES
A series of drawings are very briefly described below which help to better understand the invention and which are expressly related to an embodiment of said invention which is presented as a non-limiting example thereof. Figure 1 shows a general diagram of the early alert system of pests in crops.
Figures 2A, 2B and 2C illustrate, respectively, a diagram of the field-data collection module, data capture devices and external databases which form part of the information sources system.
Figure 3 shows a diagram with the components of the alert generation system. Figure 4 shows a diagram with the components of the system database. DETAILED DESCRIPTION OF THE INVENTION
The present invention relates to a system capable of supplying alerts in the agricultural sector to mitigate impacts produced by pests on crops. To do this, it uses a storage system, an alert generation system and a data input and output system which indicate to the user the probability of there being pests in a certain region.
Figure 1 shows a diagram of the system to prevent the impact of pests on crops according to the present invention. The system comprises an information sources system 10, an alert generation system 20 and a storage system 30.
The information sources system 10 comprises a field-data collection module 1 which allows the obtainment of reference data. Data capture devices 2 and external databases 3 can also be used as sources of information. The data from information sources can also be handled and processed by the community of experts 4 and by users 5.
The information sources system 10 sends information regarding the state of the crops to the alert generation system 20. In particular, said relevant information is supplied to a data processing unit 6. Once the information has been conveniently processed, an artificial intelligence algorithm 7 is responsible for performing the intelligent analysis of the data processed, sending in turn said data analysed to an alert emission unit 8. All the information processed and analysed is finally stored in a system database 9 which forms part of the storage system 30, and is distributed to the users 5 and experts 4 for its review.
Figure 2A shows a diagram of the field-data collection module 1 , which comprises sensors 1a for data capture in the crops in situ (e.g. moisture, temperature), microcontroller 1 b, portable storage module 1 c, which guarantee data reliability. The field-data collection module 1 can also use information collected by satellite devices 1 d and weather stations 1e (e.g. geolocation data, weather forecasts, etc.).
Figure 2B illustrates the data capture devices 2, which may include, among others, unmanned vehicles 2a, known as UAVs, image capture devices 2b and portable devices 2c, such as, for example, smartphones. A diagram of the external databases 3 is represented in figure 2C. For the processing of data obtainment from the external databases 3 it is possible to use web services 3a and emerging technologies.
All the data capture components shown in figures 2A to 2C allow that the early alert system obtains a more robust database, in this way automating the early alert system. Figure 3 shows a diagram of the process executed in the alert generation system 20. In the data processing unit 6 it studies the information received by the information sources
system 10 by means of the data analysis 600, and it classifies the relevant information by means of data cleansing 602.
An artificial intelligence algorithm 7 is responsible for performing an intelligent data analysis process 700, followed by a series of steps using rule databases which give rise to the comparison of parameters 702 and, by means of automatic learning, it achieves the automatic adjustment of parameters 704.
If the alert conditions established in rules for the appearance of pests are complied with, the alert emission unit 8 performs the emission of alerts 800. The rules for the appearance of pests may be reported by the users 5 or by the community of experts 4, or may be generated automatically in the automatic parameter adjustment process 7c.
Figure 4 shows the storage of information in the system database 9, which uses a relational database engine, MySQL server 9a. The data communication of the alert generation system 20 with the system database 9 is performed by means of a Persistence Framework 9b.
Claims
1. System of pest alert in crops, comprising: an information sources system (10) responsible for obtaining information regarding the state of the crops; an alert generation system (20) comprising: a data processing unit (6) configured to process the information received by the information sources system (10); an artificial intelligence algorithm (7) configured to verify compliance with alert conditions established in one or several rules for the appearance of pests; and an alert emission unit (8) responsible for emitting alerts (800) when said alert conditions are fulfilled.
2. System according to claim 1 , where the artificial intelligence algorithm (7) is configured to perform an intelligent data analysis process (700) and a comparison of parameters (702) using rule databases to verify compliance with the alert conditions.
3. System according to claim 2, where the artificial intelligence algorithm (7) is configured to, by means of automatic learning, perform an automatic adjustment of parameters (704).
4. System according to any of the preceding claims, comprising a storage system (30) formed by one or several system databases (9) for the storage of the information processed and analysed by the alert generation system (20).
5. System according to any of the preceding claims, where the information sources system (10) comprises a field-data collection module (1) to obtain reference data on the state of the crops.
6. System according to claim 5, where the field-data collection module (1) comprises a plurality of sensors (1a) for the in situ capture of data on the crops.
7. System according to any of claims 5 to 6, where the field-data collection module (1) is configured to obtain information on the crops from satellite devices (1 d) or from weather stations (1 e).
8. System according to any of the preceding claims, where the information sources system (10) comprises data capture devices (2).
9. System according to claim 8, where the data capture devices (2) comprise any of the following: unmanned vehicles (2a), image capture devices (2b), portable devices (2c).
10. System according to any of the preceding claims, where the information sources system (10) comprises external databases (3).
11. System according to claim 10, where the external databases (3) comprise web services (3a).
12. Method of pest alert in crops, comprising: obtaining information regarding the state of the crops; processing the information received to check, applying an artificial intelligence algorithm (7), the compliance with the conditions established in one or several rules for the appearance of pests; and emit alerts (800) when said conditions are fulfilled.
13. Method according to claim 12, comprising performing, by means of the artificial intelligence algorithm (7), an intelligent data analysis process (700) and a comparison of parameters (702) using rule databases to verify compliance with the alert conditions.
14. Method according to claim 13, comprising performing an automatic adjustment of parameters (704) by means of an automatic learning implemented by the artificial intelligence algorithm (7).
15. Method according to any of claims 12 to 14, comprising the storage of the information processed and analysed using a relational database engine, MySQL server
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PA91333 | 2016-09-06 | ||
| PA9133301 | 2016-09-06 |
Publications (2)
| Publication Number | Publication Date |
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| WO2017042790A2 true WO2017042790A2 (en) | 2017-03-16 |
| WO2017042790A3 WO2017042790A3 (en) | 2017-04-20 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/IB2016/056451 WO2017042790A2 (en) | 2016-09-06 | 2016-10-27 | System and method of pest alert in crops |
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| Country | Link |
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| WO (1) | WO2017042790A2 (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107897142A (en) * | 2017-11-27 | 2018-04-13 | 四川瑞进特科技有限公司 | A kind of trapping lamp alignment system and method based on structuring map |
| CN110517013A (en) * | 2019-08-13 | 2019-11-29 | 四川科库科技有限公司 | A kind of Agricultural Information transmission device |
| CN113273555A (en) * | 2021-06-15 | 2021-08-20 | 米恩基(浙江)传感科技有限公司 | Artificial intelligence insect situation prediction system and prediction method |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6493363B1 (en) * | 1995-11-09 | 2002-12-10 | The United States Of America As Represented By The Secretary Of Agricultural | Automated counting insect electrocutor |
| US6766251B2 (en) * | 2001-02-05 | 2004-07-20 | Isca Technologies, Inc. | Method for pest management using pest identification sensors and network accessible database |
| ATE388634T1 (en) * | 2003-06-16 | 2008-03-15 | Ronnau Dev Aps | PEST CONTROL SYSTEM |
| US7395161B2 (en) * | 2006-02-10 | 2008-07-01 | David Thomas A | Polymodal biological detection system |
| US8026822B2 (en) * | 2008-09-09 | 2011-09-27 | Dow Agrosciences Llc | Networked pest control system |
-
2016
- 2016-10-27 WO PCT/IB2016/056451 patent/WO2017042790A2/en active Application Filing
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107897142A (en) * | 2017-11-27 | 2018-04-13 | 四川瑞进特科技有限公司 | A kind of trapping lamp alignment system and method based on structuring map |
| CN110517013A (en) * | 2019-08-13 | 2019-11-29 | 四川科库科技有限公司 | A kind of Agricultural Information transmission device |
| CN110517013B (en) * | 2019-08-13 | 2023-04-04 | 四川科库科技有限公司 | Agricultural information spreading device |
| CN113273555A (en) * | 2021-06-15 | 2021-08-20 | 米恩基(浙江)传感科技有限公司 | Artificial intelligence insect situation prediction system and prediction method |
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| Publication number | Publication date |
|---|---|
| WO2017042790A3 (en) | 2017-04-20 |
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