INNOVATIVE HANDHELD DEVICE FOR NON-INVASIVE AGRICULTURAL CHEMICAL ANALYSIS WITH AI AND ENVIRONMENTAL SENSING

Abstract

This invention provides a handheld device for non-invasive chemical analysis of agricultural produce, utilizing near-infrared spectroscopy and environmental sensors to assess crop health in real-time. The AI-powered system interprets chemical data instantly, supporting sustainable farming by enabling informed decisions and community-based data sharing. This solution promotes efficient, accurate, and sustainable agricultural practices.

Specification

Description:FIELD OF THE INVENTION
This invention relates to agricultural technology, focusing on non-invasive chemical analysis for crop health and quality assessment. Utilizing artificial intelligence (AI), near-infrared spectroscopy, and environmental sensing, the handheld device provides farmers with real-time insights into the chemical composition of produce, supporting sustainable and efficient farming practices.
BACKGROUND OF THE INVENTION
Traditional methods for analyzing the chemical composition of fruits and vegetables are typically invasive, time-consuming, and require off-site laboratory analysis. These limitations lead to delays in decision-making and increased costs for farmers and distributors. Furthermore, current analysis techniques can damage produce, contributing to losses and inefficiencies in the agricultural supply chain. This invention addresses these challenges by introducing a handheld device that performs rapid, non-destructive chemical analysis of agricultural produce. By leveraging near-infrared spectroscopy and AI-driven interpretation, the device provides instant insights into factors such as sugar content, acidity levels, and pesticide residues. Additionally, it captures environmental data, including temperature, humidity, and soil pH, for a comprehensive understanding of crop conditions, ultimately reducing spoilage and promoting more sustainable agriculture.
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 invention provides a compact, handheld device for non-invasive chemical analysis of agricultural produce. Equipped with near-infrared spectroscopy and environmental sensors, the device assesses chemical properties and environmental factors, allowing farmers to monitor crop health in real-time. An AI-based system interprets spectroscopic data instantly, offering insights into sugar, acidity, and pesticide residues. The device's durable design and multilingual touchscreen interface make it accessible to farmers worldwide, while its ability to connect with cloud storage for long-term data tracking fosters informed decision-making and community-based agricultural practices.
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: ILLUSTRATES THE DURABLE EXTERIOR DESIGN OF THE HANDHELD DEVICE, HIGHLIGHTING ITS ERGONOMIC FEATURES AND TOUCHSCREEN INTERFACE.
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.
This handheld device is specifically engineered for non-invasive chemical analysis of agricultural produce. The device employs near-infrared spectroscopy to scan the produce's chemical properties without causing physical or chemical damage. Constructed with a durable, weather-resistant exterior, the device can withstand diverse environmental conditions, making it suitable for outdoor use in various agricultural settings. Its touchscreen interface supports multiple languages, enhancing accessibility for users across different regions and literacy levels.
Upon activation, the device uses near-infrared spectroscopy to analyze the chemical composition of fruits and vegetables, focusing on factors like sugar content, acidity levels, and pesticide residues. The spectroscopy module collects data through non-invasive scanning, preserving the integrity of the produce. An integrated AI system interprets this data, providing immediate feedback on the screen, allowing farmers to make informed decisions regarding harvest timing, storage, and quality control.
Additionally, the device includes environmental sensors that measure key variables such as temperature, humidity, and soil pH. This data is integrated with chemical analysis results, offering a comprehensive overview of the environmental factors affecting crop health. The device's AI-driven advisor uses this information to generate tailored recommendations for nutrient and water needs, helping optimize crop health and productivity.
Data from each scan is securely stored in a cloud platform, allowing for long-term tracking and trend analysis. This feature supports decision-making based on historical data and enables users to share insights within an agricultural community, fostering a collaborative approach to sustainable farming. The handheld analyzer provides a practical, efficient, and user-friendly solution for on-site crop analysis, empowering farmers with accessible technology to promote agricultural sustainability.
, Claims:1. A handheld device for non-invasive agricultural chemical analysis, utilizing near-infrared spectroscopy to assess the chemical composition of produce.
2. The device as claimed in Claim 1, wherein an AI system interprets spectroscopic data in real-time, providing insights into sugar content, acidity, and pesticide residues.
3. The device as claimed in Claim 1, wherein environmental sensors measure temperature, humidity, and soil pH, integrating environmental data with chemical analysis.
4. The device as claimed in Claim 1, wherein a touchscreen interface supports multiple languages, making the device accessible to users with varied literacy levels.
5. A method for agricultural chemical analysis as claimed in Claim 1, wherein non-invasive near-infrared spectroscopy and environmental sensing provide a comprehensive crop health overview.
6. The device as claimed in Claim 1, wherein data storage and cloud integration enable long-term monitoring, trend analysis, and community-based knowledge sharing.

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