SOLAR-POWERED HANDHELD DEVICE FOR STARCH MONITORING IN ROOT CROPS USING IOT AND CLOUD TECHNOLOGY WITH WIRELESS COMMUNICATION

Abstract

A solar-powered handheld device for starch monitoring in root crops using iot and cloud technology with wireless communication comprises Raspberry Pi Zero W (101), Near-Infrared (NIR) Spectroscopy Sensor (104), Optical Sensor Module (105), DS18B20 Temperature Sensor (106), Soil Moisture Sensor (108), OLED Display (103), GSM Modem (102), and Rechargeable Battery with solar panel (107), the RootEdge Node (100) allows for real time starch surveillance as well as efficient data transfer to a client-driven cloud server which improves root crop management as well as ameliorating the sustainability of agricultural practices altogether with wireless segmentation such as the Raspberry Pi Zero W, OLED Display and GSM Modem or WiFi, the RootEdge Node also puts imported function at the site where satellite data visualization comes forth therefore permitting within reasonable time access to relevant crop conditions and other environmental parameters by appropriate personnel.

Specification

Description:FIELD OF THE INVENTION
This invention relates to solar-powered handheld device for starch monitoring in root crops using iot and cloud technology with wireless communication.
BACKGROUND OF THE INVENTION
This device is a portable and handheld device powered by solar energy for monitoring the starch content of roots in real-time, it employs cutting-edge sensors to get essential crop and environmental data. The information gathered is sent to a cloud-based server after being reprocessed through wireless channels. This would facilitate remote access to the cloud in conjunction with the use of machine learning and .AI-based predictive analytics tools. Data can be displayed on the local and online dashboard and web portal respectively and available for the operators and other authorized users for instant access. This method improves decision-making regarding crop management as timely information aids in making sound strategies resulting in improved crop productivity and overall quality.
This project deals with the understanding that there is an urgent need for seamless monitoring of starch levels during root crops production based on the starch amounts present so as to improve crop productivity and improve resource use efficiency. Existing methods used in starch determination are h labor demanding, tedious, and involve the use of laboratory apparatus which makes them not suitable for field usage and unattainable by numerous farmers. In this way, this invention provides a portable device comprising a solar-powered, reliable means for measuring directly the starch of the crop planted in the field as well as sensors that enable the transmission of data by the Internet of Things. Instead of having to wait long for important information, it improves crop quality, and minimizes the need for offshore laboratories and tests thereby enhancing timely intervention strategies for crop management.
US20230403992A1: A system for growing plants and monitoring the growth of plants, comprising a gardening system and a server. The gardening system comprises a frame that defines a housing for receiving a tray of plants. The gardening system also has a lighting subsystem and watering subsystem to provide light and water to the plants. Sensors and cameras of the gardening system may capture data corresponding to the conditions of the gardening system and health of the plant. Based on the captured data, the server may use machine learning to determine optimal plant growing thresholds, and may send a control command to a controller of the gardening system to change one or more conditions of the gardening system. The plants grown by the system may be nutritious, and the bioavailability of the nutrients of the plants may be increased.
RESEARCH GAP: The uniqueness of this innovation lies in its solar-powered, IoT-enabled handheld design for real-time starch monitoring in root crops, integrating advanced sensor technology with cloud-based AI analytics for predictive crop management.
CN102954816B: The invention discloses a crop growth monitoring method, which comprises the following steps that: S1, more than one sensor respectively acquires the original growth information of crops in a specified monitoring area; S2, the acquired original growth information is sent to a remote monitoring platform; S3, the remote monitoring platform carries out preprocessing on the acquired original growth information so as to obtain processed growth information; S4, the remote monitoring platform extracts feature parameters from the processed growth information according to a preset algorithm; and S5, the growth situation of crops in the specified monitoring area is evaluated according to the degree of deviation among the feature parameters and preset values. Through respectively installing a plurality of various sensors at different space position points of crops to be monitored, the growth situations of the crops can be obtained more accurately, therefore, on the one hand, people can be guided to timely change the environments at which the crops are located, thereby increasing the crop yield; and on the other hand, the crop yield can be predicted more comprehensively and accurately.
RESEARCH GAP: The uniqueness of this innovation lies in its solar-powered, IoT-enabled handheld design for real-time starch monitoring in root crops, integrating advanced sensor technology with cloud-based AI analytics for predictive crop management.
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.
The solar-powered wireless device measures the starch content of root crops using a number of embedded sensors. The device is equipped with spectroscopy and optical sensors to scan a crop's internal chakra whenever crop examples are placed on the device or near it in the field. Other sensors also monitor heat and moisture content in the soil. This brings us a valuable insight about the health status and starch level of a crop which is important when deciding when a crop can be harvested and detailed analysis of its quality.
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:
FIGURE 1: SYSTEM ARCHITECTURE
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.
The solar-powered wireless device measures the starch content of root crops using a number of embedded sensors. The device is equipped with spectroscopy and optical sensors to scan a crop's internal chakra whenever crop examples are placed on the device or near it in the field. Other sensors also monitor heat and moisture content in the soil. This brings us a valuable insight about the health status and starch level of a crop which is important when deciding when a crop can be harvested and detailed analysis of its quality.
The machine obtains signals and processes them on the embedded device before sending them to a cloud server using a GSM or WiFi connection. On the cloud server, the agricultural machine learning models receive the data, analyze it, and use it along with other variables, such as climate and history, to generate insights for the farmers. With these insights, it becomes feasible and possible to establish growth trends and ideal starch levels in the crops for maximum production.
The device is equipped with an inbuilt screen to enhance user access, since the screen shows the readings as they are and allows the operator to view the data in real-time. The data is also stored in a cloud server and made available on a web dashboard for authorized users to access from anywhere. The dashboard also provides many features including up-to-date information, graphical charts and AI-generated suggestions to help users improve increasing understanding of the crop condition over time and help users make decisions based on data. As such, this device improves crop management in fields by providing accurate assessment of the crops, forecasting, and self-service capability all in one neat and environmentally-friendly package.
BEST METHOD OF WORKING
Equipped with a Raspberry Pi Zero W, Near-Infrared (NIR) Spectroscopy Sensor, Optical Sensor Module, DS18B20 Temperature Sensor, Soil Moisture Sensor, OLED Display, GSM Modem, and Rechargeable Battery with solar panel, the RootEdge Node allows for real time starch surveillance as well as efficient data transfer to a client-driven cloud server which improves root crop management as well as ameliorating the sustainability of agricultural practices.
Altogether with wireless segmentation such as the Raspberry Pi Zero W, OLED Display and GSM Modem or WiFi, the RootEdge Node also puts imported function at the site where satellite data visualization comes forth therefore permitting within reasonable time access to relevant crop conditions and other environmental parameters by appropriate personnel.
The RootEdge Mimosa-SG GPRS/HSDPA modem encapsulated in the RootEdge Node allows efficient communication to bespoke cloud platform thus enabling that any real time access to information is relayed towards any farmers and crop specialists monitoring crop conditions remotely wherein their location does not limit production and decisions made on the surroundings.
As the RootEdge Node integrates the OLED display interface, farmers are also able to look at crop and environmental information at the field allowing them to understand what crop parameters require attention and ensure that by the time they return to the office, most if not all decision processes have been taken during the operations.
RootEdge Node includes the Solar Panel and Rechargeable Batteries which enables it to power itself while in the field and makes it a green product, making it more reliable towards usage in the remote areas of agriculture.
ADVANTAGES OF THE INVENTION
1. This equipment is sustainable and suited for outdoor applications as it operates using a solar panel with a rechargeable battery and thus does not rely on external sources of electricity.
2. The NIR spectroscopy sensor and optical sensor module provide complete root crop starch measurement, while the DS18B20 temperature sensor and soil moisture sensor give the required environmental background for complete crop assessment.
3. The device features an OLED display and is capable of providing on-site instantaneous feedback, enabling operators to make decisions quickly. Moreover, the device allows data to be transmitted to a specified cloud server using GSM modem or WiFi, and the data can be accessed remotely.
4. Data fed into the cloud sever is already embedded with machine learning and AI algorithms which provide predictive insights and appropriate recommendations aimed at improving crop quality, when to harvest and the overall data driven farming practices.
5. A web interface can be called by the operators and the authorized personnel, enabling the system to be implemented uniformly to all sizes of farms with different types of crops. Such a configuration is easy to use and contributes toward making decisions while increasing productivity.
, Claims:1. A solar-powered handheld device for starch monitoring in root crops using iot and cloud technology with wireless communication comprises Raspberry Pi Zero W (101), Near-Infrared (NIR) Spectroscopy Sensor (104), Optical Sensor Module (105), DS18B20 Temperature Sensor (106), Soil Moisture Sensor (108), OLED Display (103), GSM Modem (102), and Rechargeable Battery with solar panel (107), the RootEdge Node (100) allows for real time starch surveillance as well as efficient data transfer to a client-driven cloud server which improves root crop management as well as ameliorating the sustainability of agricultural practices.
2. The device as claimed in claim 1, wherein altogether with wireless segmentation such as the Raspberry Pi Zero W, OLED Display and GSM Modem or WiFi, the RootEdge Node also puts imported function at the site where satellite data visualization comes forth therefore permitting within reasonable time access to relevant crop conditions and other environmental parameters by appropriate personnel.
3. The device as claimed in claim 1, wherein the RootEdge Mimosa-SG GPRS/HSDPA modem encapsulated in the RootEdge Node allows efficient communication to bespoke cloud platform thus enabling that any real time access to information is relayed towards any farmers and crop specialists monitoring crop conditions remotely wherein their location does not limit production and decisions made on the surroundings.
4. The device as claimed in claim 1, wherein as the RootEdge Node integrates the OLED display interface, farmers are also able to look at crop and environmental information at the field allowing them to understand what crop parameters require attention and ensure that by the time they return to the office, most if not all decision processes have been taken during the operations.
5. The device as claimed in claim 1, wherein RootEdge Node includes the Solar Panel and Rechargeable Batteries which enables it to power itself while in the field and makes it a green product, making it more reliable towards usage in the remote areas of agriculture.

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