Abstract: The present invention provides an IOT based plant health management system (100). The system (100) generates an alert for a user. The system (100) is energy efficient. The system (100) recommends the medicine dosage for every plant separately. The system (100) includes a camera, a controller, a cloud storage, an electronic device and a communication module. The controller receives the video or the images captured and matches with the predefined data in order to identify the disease. Upon identifying the disease, the controller suggests a precaution. The precaution includes a required list of medicine, a list of suggestions, a schedule of dosage and a like.
The present invention relates to the field of plant health management system, and more particularly, the present invention relates to an IOT based plant disease identification and medicine prediction system.
BACKGROUND ART
[0002] The development of agriculture and forestry mainly depends on the quality and quantity of agricultural and forestry products. In the field of modern agriculture and forestry development, plant diseases and insect pests are serious biological disasters that affect agricultural and forestry production safety and ecological security, and are also one of the main factors that cause economic, social and environmental changes. Therefore, early detection and identification of the types of diseases and targeted measures can more effectively reduce the economic losses caused by the diseases to agricultural and forestry production. Preventive measures for various plant diseases (such as biological and chemical methods) will have a serious impact on the ecological environment.
[0003] The available system and method for detection and identification of the types of diseases and predicting their measures are not economical, accurate and time efficient. Further, the available systems are not user friendly as these systems take time to respond. Some of the systems are not effectively used for remote locations. Also, the available systems are provided with the wrong information, which may mislead the user.
[0004] Following are some of the attempts made to develop an IOT based plant management system for identifying the plant diseases and for predicting the plant diseases.
[0005] KR101830056B1 discloses a plant disease identification and medicine prediction system that relates to a disease diagnosis system and a disease diagnosis method using the same, and more particularly, to a disease diagnosis system capable of diagnosing a disease of a crop and a disease diagnosis method using the same. Agricultural farms such as Smart Pharm farms produce large amounts of various crops, and various biochemical changes can lead to various diseases on the rhizosphere or on the ground. However, if the discovery of the disease is delayed in a facility such as a smart farm, the disease may spread rapidly inside the facility. Therefore, in farming such as smart farm, it is necessary to judge and cope with the occurrence of the disease quickly.
[0006] CN113228047A discloses a detection of plant diseases with multi-stage, multi-scale deep learning that relates to the technical field of plant disease detection and machine learning. The invention also relates to the technical field of processing images at different scales to identify diseases with different sizes of symptoms.
[0007] CN113298150A discloses small sample plant disease identification method based on transfer learning and self-learning that relates to the technical field of artificial intelligence, and specifically is a method for identifying plant diseases with small samples based on migration learning and self-learning.
[0008] Although, there are a number of solutions in the form of plant management systems, none of them are specially designed with an accurate medicine prediction or diagnosis opinion. Although, some of the prior existing solutions attempt to create a reliable and economical plant management systems for identifying the plant diseases and for predicting the plant diseases, but this solution fails to meet the user’s requirement. In the view of above prior art, it can be understood that many Internets of Things plant management systems have been designed in an attempt to provide similar solution, however they are bulky, expensive, and inefficient.
[0009] In the light of foregoing, there is need for an IOT based plant health management system for identifying the plant diseases and for predicting the plant diseases that overcomes problems prevalent in the prior art.
OBJECTS OF THE INVENTION
[0010] The principal object of the present invention is to overcome the disadvantages of the prior art by providing an IOT based plant health management system for identifying the plant diseases and for predicting the precautions.
[0011] An object of the present invention is to provide an IOT based plant health management system, wherein the system is economical.
[0012] Another object of the present invention is to provide an IOT based plant health management system, wherein the system generates an alert for a user.
[0013] Yet another object of the present invention is to provide an IOT based plant health management system, wherein the system is energy efficient.
[0014] Yet another object of the present invention is to provide an IOT based plant health management system, wherein the system recommends the medicine dosage for every plant separately.
[0015] Further object of the present invention is to provide an IOT based plant health management system, wherein the system is operated from a remote location.
[0016] The foregoing and other objects of the present invention will become readily apparent upon further review of the following detailed description of the embodiments as illustrated in the accompanying drawings.
SUMMARY OF THE INVENTION
[0017] The present invention relates to an IOT based plant health management system. The system includes a camera, a controller, a cloud storage, an electronic device and a communication module.
[0018] In one embodiment, the camera records a video or captures number of images of a number of leaves of a plant.
[0019] In one embodiment, the cloud storage stores a predefined data of a plant diseases.
[0020] In one embodiment, the controller receives the video or the images captured and matches with the predefined data in order to identify the disease. Upon identifying the disease, the controller suggests a precaution. The precaution includes a required list of medicine, a list of suggestions, a schedule of dosage and a like.
[0021] In one embodiment, the electronic device receives the precaution alert from the controller. The alert is an email or a text message or a call or audio message or a video message. The electronic device is a mobile or a laptop or a computer or a tablet or a like IOT based electronic device.
[0022] In one embodiment, the communication module transfers the data between the connections. The communication module is a wired communication module or a wireless communication module like a Bluetooth or a Wi-Fi or an internet.
[0023] While the invention has been described and shown with reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.
BRIEF DESCRIPTION OF DRAWINGS
[0024] So that the manner in which the above-recited features of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may have been referred by embodiments, some of which are illustrated in the appended drawings. It is to be noted, however, that the appended drawings illustrate only typical embodiments of this invention and are therefore not to be considered limiting of its scope, for the invention may admit to other equally effective embodiments.
[0025] These and other features, benefits, and advantages of the present invention will become apparent by reference to the following text figure, with like reference numbers referring to like structures across the views, wherein:
[0026] Figure 1 shows a block diagram for an IOT based plant health management system in accordance with the present invention.
DETAILED DESCRIPTION OF THE INVENTION
[0027] While the present invention is described herein by way of example using embodiments and illustrative drawings, those skilled in the art will recognize that the invention is not limited to the embodiments of drawing or drawings described and are not intended to represent the scale of the various components. Further, some components that may form a part of the invention may not be illustrated in certain figures, for ease of illustration, and such omissions do not limit the embodiments outlined in any way. It should be understood that the drawings and the detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the invention is to cover all modifications, equivalents, and alternatives falling within the scope of the present invention as defined by the appended claim.
[0028] As used throughout this description, the word "may" is used in a permissive sense (i.e. meaning having the potential to), rather than the mandatory sense, (i.e. meaning must). Further, the words "a" or "an" mean "at least one” and the word “plurality” means “one or more” unless otherwise mentioned. Furthermore, the terminology and phraseology used herein are solely used for descriptive purposes and should not be construed as limiting in scope. Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed thereafter, equivalents, and additional subject matter not recited, and is not intended to exclude other additives, components, integers, or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents, acts, materials, devices, articles, and the like are included in the specification solely for the purpose of providing a context for the present invention. It is not suggested or represented that any or all these matters form part of the prior art base or were common general knowledge in the field relevant to the present invention.
[0029] In this disclosure, whenever a composition or an element or a group of elements is preceded with the transitional phrase “comprising”, it is understood that we also contemplate the same composition, element, or group of elements with transitional phrases “consisting of”, “consisting”, “selected from the group of consisting of, “including”, or “is” preceding the recitation of the composition, element or group of elements and vice versa.
[0030] The present invention is described hereinafter by various embodiments with reference to the accompanying drawing, wherein reference numerals used in the accompanying drawing correspond to the like elements throughout the description. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiment set forth herein. Rather, the embodiment is provided so that this disclosure will be thorough and complete and will fully convey the scope of the invention to those skilled in the art. In the following detailed description, numeric values and ranges are provided for various aspects of the implementations described. These values and ranges are to be treated as examples only and are not intended to limit the scope of the claims. In addition, several materials are identified as suitable for various facets of the implementations. These materials are to be treated as exemplary and are not intended to limit the scope of the invention.
[0031] The present invention relates to an IOT based plant health management system for identifying the plant diseases and for predicting the precautions. The system is economical. The system generates an alert for a user. The system is energy efficient. The system recommends the medicine dosage for every plant separately. The system is operated from a remote location.
[0032] From herein afterwards, the system is referred as a system (100). Referring now to the figure 1, the system (100) includes a camera, a controller, a cloud storage, an electronic device and a communication module.
[0033] The camera records a video or captures number of images of a number of leaves of a plant. The camera is a camera or a thermal camera or an infrared camera. In one more embodiment of the present invention, the system (100) uses a satellite camera for getting continues images.
[0034] The cloud storage is connected to the controller. The cloud storage is a virtual storage system. The cloud storage stores a predefined data of a plant diseases, precaution and a list of medicines. An authorized person is allowed to update the data stored in the cloud storage. The authorized person is a government or a official or an authenticated user.
[0035] The controller is a microcontroller or a microcomputer or a controller or a processor or a microprocessor. The controller is embedded with a hardware and a software module. The controller is connected to the electronic device, the cloud storage and the camera. The controller receives the video or the images captured therefrom the camera. The software module embedded with the controller matches the captured images with the predefined data in order to identify the disease. Upon identifying the disease, the software module embedded with the controller suggests a precaution in order to cure the disease. The precaution includes a required list of medicine, a list of suggestions, a schedule of dosage and a like.
[0036] The electronic device receives the precaution alert from the controller. The alert is an email or a text message or a call or an audio message or a video message. The electronic device is a mobile or a laptop or a computer or a tablet or a like IOT based electronic device. The user can access the data from the cloud storage using the electronic device. The electronic device makes the system (100) portable.
[0037] The communication module transfers the data between the connections. The communication module is a wired communication module or a wireless communication module like a Bluetooth or a Wi-Fi or an internet.
[0038] In a given example, the user needs to capture the images of the leaves of the plant. The software module embedded with the controller matches the image and sends a list of precaution and medicine to the user as the alert on the electronic device. Therefore, the user can take care of his plants or crops using the system (100).
[0039] The present invention provides an advantage of providing the IOT based plant health management system (100). The system (100) is used for identifying the plant diseases and for predicting the precautions. The system (100) is economical. The system (100) generates an alert for a user. The system (100) is energy efficient. The system (100) recommends the medicine dosage for every plant separately. The system (100) is operated from a remote location.
[0040] Various modifications to these embodiments are apparent to those skilled in the art from the description and the accompanying drawings. The principles associated with the various embodiments described herein may be applied to other embodiments. Therefore, the description is not intended to be limited to the 5 embodiments shown along with the accompanying drawings but is to be providing the broadest scope consistent with the principles and the novel and inventive features disclosed or suggested herein. Accordingly, the invention is anticipated to hold on to all other such alternatives, modifications, and variations that fall within the scope of the present invention and appended claims.
We Claim:
1) An IOT based plant health management system (100), the system (100) comprises:
a camera for recording a video or for capturing number of images of a number of leaves of a plant;
a cloud storage that stores a predefined data of a plant diseases;
a controller that receives the video or the images captured and matches with the predefined data in order to identify the disease; upon identifying the disease the controller suggests a precaution;
an electronic device that receives the precaution alert from the controller; and
a communication module that transfers the data between the connections.
2) The system (100) as claimed in claim 1, wherein the electronic device is a mobile or a laptop or a computer or a tablet or a like IOT based electronic device.
3) The system (100) as claimed in claim 1, wherein the communication module is a wired communication module or a wireless communication module like a Bluetooth or a Wi-Fi or an internet.
4) The system (100) as claimed in claim 1, wherein the alert is an email or a text message or a call or audio message or a video message.
5) The system (100) as claimed in claim 1, wherein the precaution includes a required list of medicine, a list of suggestions, a schedule of dosage and a like.
| # | Name | Date |
|---|---|---|
| 1 | 202111059557-STATEMENT OF UNDERTAKING (FORM 3) [21-12-2021(online)].pdf | 2021-12-21 |
| 2 | 202111059557-REQUEST FOR EARLY PUBLICATION(FORM-9) [21-12-2021(online)].pdf | 2021-12-21 |
| 3 | 202111059557-POWER OF AUTHORITY [21-12-2021(online)].pdf | 2021-12-21 |
| 4 | 202111059557-FORM-9 [21-12-2021(online)].pdf | 2021-12-21 |
| 5 | 202111059557-FORM FOR SMALL ENTITY(FORM-28) [21-12-2021(online)].pdf | 2021-12-21 |
| 6 | 202111059557-FORM FOR SMALL ENTITY [21-12-2021(online)].pdf | 2021-12-21 |
| 7 | 202111059557-FORM 1 [21-12-2021(online)].pdf | 2021-12-21 |
| 8 | 202111059557-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [21-12-2021(online)].pdf | 2021-12-21 |
| 9 | 202111059557-EDUCATIONAL INSTITUTION(S) [21-12-2021(online)].pdf | 2021-12-21 |
| 10 | 202111059557-DRAWINGS [21-12-2021(online)].pdf | 2021-12-21 |
| 11 | 202111059557-DECLARATION OF INVENTORSHIP (FORM 5) [21-12-2021(online)].pdf | 2021-12-21 |
| 12 | 202111059557-COMPLETE SPECIFICATION [21-12-2021(online)].pdf | 2021-12-21 |
| 13 | 202111059557-RELEVANT DOCUMENTS [28-12-2021(online)].pdf | 2021-12-28 |
| 14 | 202111059557-FORM 13 [28-12-2021(online)].pdf | 2021-12-28 |
| 15 | 202111059557-AMENDED DOCUMENTS [28-12-2021(online)].pdf | 2021-12-28 |