This invention relates to Smart hybrid drying system for medicinal plants products using machine learning.
Background of the Invention
US 2011/0167716 A1 relates to a greenhouse comprising outside walls provided with translucent surfaces such that light may be received into the greenhouse from at least two geographical directions, a roof structure and a roof provided with an insulating material portion. The invention is characterized in that the outside walls, in connection with the translucent Surfaces, are provided with a light reflecting yard structure which resides below the translucent surfaces, above a ground Surface, and extending away from the outside wall. The greenhouse may further comprise vertically positioned light reflecting Surface elements and light reflecting shade elements movable in a direction parallel with the transparent surfaces.
Research Gap:
The present invention clams the drying system which can dry the medical plant products with its capacity to collect more incident radiation without the intervening of dust and other particles present in the surrounding
A smart hybrid drying system for medicinal plant products using machine learning which will use the technology to monitor the different parameters of the system and notify the user about the changes or input required for drying
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is Smart hybrid drying system for medicinal plants products using machine learning.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
Drying processes of agricultural products by the use of solar dryers has proven an important role in their preservation. Design and development of different types of drying systems is in progress worldwide and required more information for the same. The application of drying system assisted with power supply reduces significantly post-harvest losses of medicinal plant products. Power supply supported with PV modules fills the gap of the drying process during cloudy days.
Previous study clams the collection of incident radiation from at least two geographical directions, translucent Surfaces, light reflecting shade elements movable in a direction parallel with the transparent surfaces etc.
However, Medicinal plant products are sensitive towards temperature and direct exposure of radiations in terms of loss of color and valuable ingredients. Thus, require special attention while drying for further utilization of the same. These dried plants are consumed to prepare various medical products. Drying of these plants requires a special arrangement in which intervention of external particles is prohibited. Moreover, these plants are dried at a specific temperature, humidity and moisture level. In conventional drying systems, measurement of these values is done by external tools and the process is very cumbersome as regular watch on the system is required. In addition to this, the method of variation of temperature by a simple mechanical method and accessibility of drying data to the distant observer is still challenging task.
Hence, we propose a smart hybrid drying system for medicinal plant products using machine learning which will use the technology to monitor the different parameters of the system and notify the user about the changes or input required for drying the medicinal plants. In addition to this the collection of data during the drying process will play important role for the further process and development of drying systems.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Fig. 1a-g: dryer (100) made of wooden frame with its components
Fig 2: Block Diagram of the Proposed System
Fig. 3: Flow of processes in the system
Fig. 4: A simple view of the system
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.

DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
These and other advantages of the present subject matter would be described in greater detail with reference to the following figures. It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
The proposed dryer (100) made of wooden frame with its components are shown in figures from 1a to 1g. It consists of a quadrilateral-shaped cabinet tray of wooden frame with wire mesh (111) to contain the dryer product. A single-layered transparent movble glass at the top is provided to collect solar radiation. In the bottom part of the same an arrangement of a rectangular shaped open space with movable cap (107) is provided as per reqirement of solar radiation. In the inner surfaces of the dryer aluminum sheet (105c) with painted black is used. For the cost reduction, thermocole sheet (105b) is used as insulator and is sandwitched between the wodden frame (105a) and aluminium sheet (105c). In the front face of the dryer double transparent glazing (103 &104) with small separation are used. The same are also slightly uplifted to confirm the air circulation. In the front face at its height rectangular strip (102) is provided and at the bottom of its rare surface an exaust fan (106) is provided to ensure a reasonable level of air circulation around the product.
Best Method of working:
The systematic diagram of intelligent device is shown in fig 2. The system consists of multiple components such as a computing unit, different sensors, a solar cell, a battery connected to the cell, a multiplexer for controlling the input to the system etc. A brief description of each of these components is as below:-
a. Computing Unit: Computing unit is responsible for acquiring information from the various sensors attached to it. Additionally, It is responsible for taking the necessary actions after analysing the information received. This unit is applying the machine learning methods over the information sensed and sending it to the drying module for appropriate processing.
b. Sensor(s): For an effective outcome, it is necessary to acquire the physical properties of the drying module. Therefore, different sensors such as DHT11, moisture and drying rate etc. sensors are installed in the system. These sensors sense the necessary properties of the box and send it to the computing unit for appropriate actions.
c. Solar Cell: Primarily, the system is designed to dry the medicinal plant product with the help of solar heat. But, a solar cell is also attached to the system so that system may work in the absence of solar heat. This cell is connected to a battery which stores the energy and provides the power in the absence of solar heat. Power provided by the battery is controlled through a V/I sensor for the appropriate amount of power required by the system.
d. Multiplexer: This component of the system is used to trigger the power from the solar cell and battery to the drying module.
e. Power supply: All the sensors and computing units are connected to the battery as well as an external power source to keep up the system.
f. Connectivity Components: The sensed information and the action taken against each log is transferred to the cloud through the network connectivity component for a better user experience.
Fig - 3 describes the flow processes of the analysis done at the back end. Data received from the system through the networking component is stored in the cloud. There an application applies the machine learning algorithms over the data to deliver the pattern for better usage of the system. After applying, the user can visualize the information and pattern for the system. Apart from visualization, the application also notifies the user about the required input for the specific medicinal plant and the estimated time to complete drying.
This figure shows the overall view of the system in which the analysis module is attached to the drying module. Both the module are interdependent to each other and perform operations according to input received from the other.
ADVANTAGES OF THE INVENTION:
arrangement of inflection of temperature if required and, provision of facility to access and interpretation of data.

Novel Features of the Invention:
1. The present invention clams the drying system which can dry the medical plant products with its capacity to collect more incident radiation without the intervening of dust and other particles present in the surrounding and use of power supply assisted with PV module which provide alternate option of dying in the absence of solar radiation.
2. The present invention clams the measurement of drying parameters by the use of different sensors and facility to access the data by the users to visualize the same on an application.
3. The use of machine learning algorithms to draw the pattern for better user experiences.

WE CLAIM:

1. A smart hybrid drying system for medicinal plants products using machine learning system comprises dryer (100) made of wooden frame with its components further consists of a quadrilateral-shaped cabinet tray of wooden frame with wire mesh (111) to contain the dryer product; wherein a single-layered transparent movable glass at the top is provided to collect solar radiation.
2. The system as claimed in claim 1, wherein in the bottom part of the system an arrangement of a rectangular shaped open space with movable cap (107) is provided as per requirement of solar radiation.
3. The system as claimed in claim 1, wherein in the inner surfaces of the dryer aluminium sheet (105c) with painted black is used; and thermocol sheet (105b) is used as insulator and is sandwiched between the wooden frame (105a) and aluminium sheet (105c).
4. The system as claimed in claim 1, wherein in the front face of the dryer double transparent glazing (103 &104) with small separation are used; and the same are also slightly uplifted to confirm the air circulation; and in the front face at its height rectangular strip (102) is provided and at the bottom of its rare surface an exhaust fan (106) is provided to ensure a reasonable level of air circulation around the product.
5. The system as claimed in claim 1, wherein system consists of multiple components such as a computing unit, different sensors, a solar cell, a battery connected to the cell, a multiplexer for controlling the input to the system.
6. The system as claimed in claim 1, wherein Computing unit is responsible for acquiring information from the various sensors attached to it and responsible for taking the necessary actions after analysing the information received; and this unit is applying the machine learning methods over the information sensed and sending it to the drying module for appropriate processing.
7. The system as claimed in claim 1, wherein For an effective outcome, it is necessary to acquire the physical properties of the drying module; different sensors such as DHT11, moisture and drying rate sensors are installed in the system; and these sensors sense the necessary properties of the box and send it to the computing unit for appropriate actions.
8. The system as claimed in claim 1, wherein a solar cell is also attached to the system so that system may work in the absence of solar heat; and this cell is connected to a battery which stores the energy and provides the power in the absence of solar heat. Power provided by the battery is controlled through a V/I sensor for the appropriate amount of power required by the system.
9. The system as claimed in claim 1, wherein Multiplexer is used to trigger the power from the solar cell and battery to the drying module; all the sensors and computing units are connected to the battery as well as an external power source to keep up the system.
10. The system as claimed in claim 1, wherein the sensed information and the action taken against each log is transferred to the cloud through the network connectivity component for a better user experience.