Description:SYSTEM TO DETERMINE AIR POLLUTION TOLERANCE INDEX OF VEGETATIVE PLANT
Field of the Invention
[0001] The invention pertains to the field of environmental biology and botany, specifically to a system for determining the Air Pollution Tolerance Index (APTI) of vegetative plants by assessing physiological and biochemical parameters, comparing them with reference values, and presenting the APTI comprehensively.
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] The growing concern over air pollution's impact on the environment has brought attention to the need for understanding how pollution affects plant life, both in natural ecosystems and agricultural contexts. Plants play a crucial role as primary producers in ecosystems, serving as the foundation for all other life forms. Any disturbance in the well-being of plants can have cascading effects on entire ecosystems, including impacts on animals that depend on plants for food and shelter, and even on human health and well-being.
[0004] Air pollution, which includes various gases, particulate matter, and aerosols, can have numerous detrimental effects on plants. It can disrupt the photosynthesis process, impair growth, reduce productivity, cause leaf damage, and even lead to premature death in some species. Some pollutants like sulfur dioxide and nitrogen oxides can lead to acid rain, further impacting plant health and soil quality.
[0005] The Air Pollution Tolerance Index (APTI) is an essential measure that gauges the ability of a plant species to endure or adapt to air pollution. It involves assessing physiological and biochemical traits of plants, including parameters such as ascorbic acid content, total chlorophyll, relative water content, and leaf extract pH. Understanding these traits and the tolerance levels of different plants is essential in various contexts, including urban planning, where planting pollution-tolerant species along roadways may help mitigate pollution effects. In agriculture, understanding how crops respond to pollution can lead to better management practices, ensuring food security.
[0006] Despite the importance of APTI, traditional methods for its determination have several shortcomings. These methods are often laborious and time-consuming, requiring manual sampling, separate laboratory analysis of different parameters, and manual computation of the APTI. There's often a lack of standardization in these processes, leading to variations in results that can hinder comparison across different studies or locations.
[0007] Furthermore, traditional methods may not take into account the complex interplay of various environmental factors that can influence APTI. Seasonality, temperature, and humidity, for instance, can all affect plant physiology and hence their tolerance to pollution. These factors may vary across different geographical regions, further complicating the assessment of APTI.
[0008] The absence of readily accessible reference values for APTI across various plant species is another challenge. Without standardized reference values, it becomes difficult to generalize findings, compare results across different species or regions, or assess how changes in pollution levels over time may be affecting plant health.
[0009] Another challenge is the dynamic nature of both pollution and plant responses. Pollution levels can vary over short timescales, such as during different times of the day, or over longer periods, reflecting changes in industrial activity, traffic patterns, or regulatory measures. Plants may also adapt or acclimatize to pollution in various ways, and their responses can be influenced by other factors like nutrient availability, water stress, or interactions with other organisms like pests or pathogens.
[00010] Given these complexities, the need for a standardized, efficient, and accurate system for APTI determination is increasingly evident. Such a system could streamline the process of assessing plant pollution tolerance, provide more reliable and comparable results, and facilitate more in-depth and nuanced understanding of how different species respond to pollution.
[00011] Moreover, as concerns about climate change and its potential impacts on both pollution patterns and plant responses grow, the need for robust tools to assess APTI becomes even more critical. For example, understanding how plants that are crucial for carbon sequestration (such as forests) might respond to increased pollution could be vital for climate mitigation strategies.
[00012] Finally, the societal and economic implications of understanding APTI are significant. Plant health is directly tied to human well-being, through the food we eat, the air we breathe, and the natural landscapes we enjoy. Agriculture, a major global industry, is directly dependent on healthy plants and could benefit greatly from tools that allow for more nuanced management in the face of pollution.
[00013] In summary, the traditional methods of determining the Air Pollution Tolerance Index are fraught with challenges, ranging from the labor-intensive nature of sampling and analysis to the lack of standardization and the failure to consider the complex interplay of various environmental factors. The development of a comprehensive, standardized, and efficient system for assessing APTI would represent a significant advancement, with wide-ranging applications in science, conservation, urban planning, agriculture, and more. The ability to assess plant tolerance to pollution accurately and comprehensively could foster better decision-making and more sustainable practices across these diverse fields.
[00014] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.
Summary
[00015] Various objects, features, and advantages of the disclosed subject matter can be more fully appreciated with reference to the following detailed description of the disclosed subject matter when considered in connection with the following drawings, in which like reference numerals identify like elements.
[00016] The invention pertains to the field of environmental biology and botany, specifically to a system for determining the Air Pollution Tolerance Index (APTI) of vegetative plants by assessing physiological and biochemical parameters, comparing them with reference values, and presenting the APTI comprehensively.
[00017] In an embodiment, the invention is a comprehensive system for assessing the Air Pollution Tolerance Index (APTI) of vegetative plants, which plays an essential role in understanding the resilience and adaptability of different plant species to air pollution.
[00018] In an embodiment, a core component of the system is the sample collection unit designed to obtain plant tissue samples, such as leaf extracts. In an embodiment, this unit could include an apparatus for damage-free extraction, preserving the integrity of the plant and allowing for repeat measurements.
[00019] In an embodiment, the analysis unit evaluates the physiological and biochemical parameters of the plant tissue, crucial for determining APTI. These parameters include the ascorbic acid content, total chlorophyll, relative water content, and leaf extract pH. The equipment could be tailored to these specific analyses, ensuring accuracy and consistency.
[00020] In an embodiment, the database in the system contains reference values related to the APTI of various plant species, along with potential correlations with environmental changes and effects on plant physiology. Regular updates can accommodate newly studied species and incorporate shifts in environmental factors.
[00021] In an embodiment, a highly configurable processing unit is responsible for the mathematical computation of the APTI. Algorithms within the unit weight each physiological and biochemical parameter differently, depending on their importance in determining APTI. It may also integrate external environmental parameters, such as air quality, temperature, and humidity, reflecting a more realistic assessment of a plant's pollution tolerance.
[00022] In an embodiment, the output module serves as the interface between the system and the user, presenting the APTI and its comparison with reference values. Visualization tools may be included to offer intuitive and graphical representations of the data.
[00023] In an embodiment, the system could be enhanced by a user interface that allows for the manual input of parameters or constraints, reflecting the specific needs or focus of an investigation. Integration of climatic and seasonal data might also be a feature, enabling the system to consider broader ecological and environmental contexts.
[00024] In an embodiment, the system may include a communication module, allowing for the sharing of APTI values with other systems or platforms. This fosters collaborative research, data integration, and a more extensive understanding of global patterns of plant resilience to pollution.
[00025] In an embodiment, a method of operation includes obtaining the plant tissue using the sample collection unit, analyzing the required parameters using the analysis unit, computing the APTI using the processing unit, comparing it with reference values, and presenting the determined APTI via the output module."
Brief Description of the Drawings
[00026] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00027] FIG. 1 illustrates system for determining the Air Pollution Tolerance Index (APTI) of a vegetative plant, according to some embodiments of the present disclosure.
[00028] FIG. 2 illustrates a method for determining the Air Pollution Tolerance Index of a vegetative plant using the system, in accordance with an embodiment of the present disclosure.
Detailed Description
[00029] The following is a detailed description of exemplary embodiments to illustrate the principles of the invention. The embodiments are provided to illustrate aspects of the invention, but the invention is not limited to any embodiment. The scope of the invention encompasses numerous alternatives, modifications and equivalent; it is limited only by the claims.
[00030] In view of the many possible embodiments to which the principles of the present discussion may be applied, it should be recognized that the embodiments described herein with respect to the drawing figures are meant to be illustrative only and should not be taken as limiting the scope of the claims. Therefore, the techniques as described herein contemplate all such embodiments as may come within the scope of the following claims and equivalents thereof.
[00031] The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference numbers in different instances in the description and the figures may indicate similar or identical items.
[00032] Pursuant to the "Detailed Description" section herein, whenever an element is explicitly associated with a specific numeral for the first time, such association shall be deemed consistent and applicable throughout the entirety of the "Detailed Description" section, unless otherwise expressly stated or contradicted by the context.
[00033] The invention pertains to the field of environmental biology and botany, specifically to a system for determining the Air Pollution Tolerance Index (APTI) of vegetative plants by assessing physiological and biochemical parameters, comparing them with reference values, and presenting the APTI comprehensively.
[00034] FIG. 1 illustrates system 100 for determining the Air Pollution Tolerance Index (APTI) of a vegetative plant, according to some embodiments of the present disclosure. The system comprises a sample collection unit 102, an analysis unit 104, a database 106, a processing unit 108 and an output module 110.
[00035] In an embodiment, a system for determining the Air Pollution Tolerance Index (APTI) of a vegetative plant is described. This system consists of a sample collection unit specifically designed to obtain plant tissue. The sample collection may include a specially crafted apparatus that extracts leaf samples without inflicting damage to the vegetative plant. This approach ensures that the sample integrity is preserved, providing an accurate basis for subsequent analyses.
[00036] In an embodiment, the sample collected is transferred to an analysis unit, which assesses the physiological and biochemical parameters of the plant tissue. This might include various equipment capable of determining the ascorbic acid content, total chlorophyll, relative water content, and leaf extract pH. These parameters are vital for understanding the plant's ability to withstand air pollution, as they directly reflect its overall health and response to environmental stressors.
[00037] In an embodiment, the system features a database containing meticulously compiled reference values for various plant species related to their APTI. The database might be structured to allow easy cross-referencing with the analyzed parameters, thereby facilitating an efficient and reliable comparison. In addition, the database could be dynamically updated to reflect new research findings or include APTI values from newly studied species, ensuring that the system remains aligned with the latest scientific knowledge.
[00038] In an embodiment, the processing unit is configured to compute the APTI based on the analyzed physiological and biochemical parameters, further comparing them with the reference values. Sophisticated algorithms might be employed to achieve this, assigning different weights to individual parameters depending on their significance in determining the APTI. This nuanced approach allows for a more comprehensive and accurate understanding of a plant's pollution tolerance.
[00039] In an embodiment, the processing unit also integrates external environmental factors into its computation. This might include data related to ambient air quality, climatic conditions, and seasonal variations. By considering these additional elements, the system can offer a more contextualized and realistic assessment of the plant's APTI, acknowledging that pollution tolerance is influenced by a complex interplay of biological and environmental variables.
[00040] In an embodiment, the output module of the system presents the determined APTI along with its comparison to the reference values. Visualization tools might be incorporated into this module to facilitate intuitive understanding. Graphs, charts, or even interactive 3D models could be used to graphically represent the APTI in relation to reference standards. This graphical presentation enables users, regardless of their technical background, to grasp the significance of the findings quickly.
[00041] In an embodiment, the system might include a user interface that enables manual input of specific parameters or constraints for the APTI determination. This interface could be designed to allow researchers, urban planners, or agriculturalists to tailor the analysis according to their specific requirements. Whether adjusting the weighting of individual parameters or incorporating unique environmental conditions, this user-controlled customization enhances the system's flexibility and applicability.

[00042] In an embodiment, the system could also feature a communication module that facilitates sharing the determined APTI values with other systems or platforms. This capability fosters collaborative research and data integration, allowing researchers across different locations to compare findings, align methodologies, and contribute to a shared knowledge base. Such collaboration might accelerate advancements in the understanding of plant responses to pollution and the development of strategies to mitigate its impact.
[00043] In an embodiment, the system might be utilized in urban planning to select appropriate plant species for city landscaping. By evaluating the APTI of various species, planners can choose those best suited to thrive in polluted urban environments. Similarly, in agricultural settings, farmers might employ the system to assess the suitability of different crops in areas affected by industrial emissions.
[00044] In an embodiment, the system could be part of an environmental monitoring network, continuously analyzing various plants' APTI in different locations. This ongoing assessment can provide valuable insights into the broader ecological impacts of air pollution, assisting in the formulation of environmental policies, conservation strategies, and public awareness campaigns.
[00045] In conclusion, the described embodiments offer a multifaceted and adaptable system for determining the Air Pollution Tolerance Index of vegetative plants. From precise sample collection to comprehensive analysis, intelligent processing, and intuitive presentation, each component contributes to a nuanced understanding of plant tolerance to air pollution. The potential applications of this system are vast, reflecting the complex and pressing challenge of mitigating the effects of pollution on our delicate and essential plant ecosystems.
[00046] In an embodiment, the system includes a sample collection unit equipped with an apparatus specifically designed for extracting leaf samples from vegetative plants without causing damage. The sample collection apparatus employs gentle and non-invasive techniques to ensure that the collected leaves remain intact and undamaged. This is critical for obtaining accurate and representative leaf samples for the subsequent physiological and biochemical analysis. By preserving the leaf's integrity, the system ensures that the measured parameters reflect the true physiological state of the plant, providing reliable data for the assessment of the Air Pollution Tolerance Index (APTI).
[00047] In an embodiment, the system comprises an analysis unit that incorporates specialized equipment capable of determining various physiological and biochemical parameters related to the plant's response to air pollution. These parameters include the ascorbic acid content, total chlorophyll levels, relative water content, and leaf extract pH. The analysis unit employs specific measurement techniques and instruments to quantify these factors accurately. By assessing these parameters, the system gains insights into the plant's health status, stress response, and overall tolerance to air pollution, all of which contribute to calculating the APTI.
[00048] In an embodiment, the system ensures the regular updating of its database to incorporate APTI values from newly studied plant species and includes information on environmental changes and their effects on plant physiology. The database serves as a repository for a wide range of APTI data, allowing for comprehensive comparisons and assessments across different plant species and environmental conditions. By continuously updating the database with new research findings and environmental data, the system remains up-to-date and enhances the accuracy of APTI determinations.
[00049] In an embodiment, the system's processing unit employs sophisticated algorithms to weight each physiological and biochemical parameter differently, considering their relative importance in determining the APTI. The processing unit utilizes statistical methods and mathematical models to analyze the measured parameters and their contribution to the overall APTI calculation. By appropriately weighting the different factors, the system ensures that the APTI accurately reflects the plant's tolerance to air pollution and provides meaningful insights into its response to environmental stressors.
[00050] In an embodiment, the system's output module includes powerful visualization tools that graphically represent the APTI in relation to reference values. These visualization tools enable intuitive comparisons of the APTI across different plant species and environmental conditions. Researchers and users can interpret the data effectively, allowing for better understanding and informed decision-making regarding plant selection, landscaping, and urban planning to mitigate the impact of air pollution on vegetation.
[00051] In an embodiment, the system includes a user interface that facilitates manual input of external environmental parameters, such as ambient air quality data. These additional environmental factors can influence the APTI calculation. By allowing users to input external data, the system can consider specific local conditions and variations in air quality, resulting in more accurate and context-specific APTI determinations for different regions and settings.
[00052] In an embodiment, the system's processing unit also integrates climatic and seasonal data in its computation of the APTI. The effects of temperature, humidity, and seasonality on plant physiology are considered to ensure that the APTI accurately reflects the plant's performance under different weather conditions and throughout the year. This integration provides a more comprehensive and holistic understanding of the plant's tolerance to air pollution in various environmental contexts.
[00053] In an embodiment, the system further incorporates a communication module that allows the sharing of determined APTI values with other systems or platforms. This feature fosters collaborative research and data integration, enabling the exchange of APTI data between researchers, environmental monitoring agencies, and urban planners. The communication module enhances the collective knowledge and understanding of air pollution impacts on vegetation, contributing to improved air quality management and sustainable urban development practices.
[00054] This invention provides a method to mitigate air pollution by utilizing a selected range of plants known for their capacity to absorb, detoxify, or sequester airborne contaminants. These plants can be integrated into urban landscapes, industrial areas, and other pollution-prone zones. The plants selected for phytoremediation are those that have demonstrated an innate capacity to absorb air pollutants, including but not limited to: VOCs (Volatile Organic Compounds), Particulate matter (PM), Nitrogen oxides (NOx), Sulfur dioxide (SO2) and the like.
[00055] Some exemplary plants include: Salix species (willows), Populus species (poplars), Pteris vittata (Chinese brake fern), Ailanthus altissima (tree of heaven) and Chlorophytum comosum (spider plant)
[00056] FIG. 2 illustrates a method 200 for determining the Air Pollution Tolerance Index (APTI) of a vegetative plant using the system involves several key steps. In step 202, plant tissue is obtained using a dedicated sample collection unit. This might involve using specialized tools designed to extract leaf samples without causing harm to the plant. Care is taken to ensure that the samples are representative and that they are handled and stored properly to maintain their integrity. The specific part of the plant sampled and the methodology might depend on the species under investigation and the purpose of the study. At step 204, once the sample is obtained, it is subjected to analysis to determine various physiological and biochemical parameters. The analysis unit might include specialized equipment for measuring ascorbic acid content, total chlorophyll, relative water content, leaf extract pH, and other factors that are critical for understanding the plant's response to pollution. This phase might also include preparing the sample through processes like grinding, mixing with solvents, or other preparation methods tailored to the specific analyses required. At step 206, after the analysis is complete, the processing unit takes over to compute the APTI. This involves using algorithms or mathematical models to translate the raw physiological and biochemical data into an APTI score. Depending on the complexity of the model, different parameters may be weighted differently. This computation accounts for the complex interplay between the various factors that contribute to a plant's ability to tolerate air pollution. The algorithms may also consider external environmental parameters, such as local air quality, climatic conditions, etc. At step 208, once the APTI is computed, the next step involves comparing it with reference values stored in the database. These reference values might include previously determined APTI values for the same or similar species, as well as scientifically validated benchmarks. The database might also include information about how different environmental conditions have historically influenced the APTI. This comparison step contextualizes the computed APTI, enabling a more nuanced interpretation of what the value means in the broader scientific or practical context. At step 210, the determined APTI and its relationship to the reference values are presented through the output module. This could include generating reports, charts, or other visualizations that make the information easily digestible. Different stakeholders, such as scientists, urban planners, or farmers, might require different formats or levels of detail. Therefore, the output module might be designed to provide customizable outputs tailored to the specific needs of the users.
[00057] The term “memory,” as used herein relates to a volatile or persistent medium, such as a magnetic disk, or optical disk, in which a computer can store data or software for any duration. Optionally, the memory is non-volatile mass storage such as physical storage media. Furthermore, a single memory may encompass and in a scenario wherein computing system is distributed, the processing, memory and/or storage capability may be distributed as well.
[00058] Throughout the present disclosure, the term ‘server’ relates to a structure and/or module that include programmable and/or non-programmable components configured to store, process and/or share information. Optionally, the server includes any arrangement of physical or virtual computational entities capable of enhancing information to perform various computational tasks.
[00059] Throughout the present disclosure, the term “network” relates to an arrangement of interconnected programmable and/or non-programmable components that are configured to facilitate data communication between one or more electronic devices and/or databases, whether available or known at the time of filing or as later developed. Furthermore, the network may include, but is not limited to, one or more peer-to-peer network, a hybrid peer-to-peer network, local area networks (LANs), radio access networks (RANs), metropolitan area networks (MANS), wide area networks (WANs), all or a portion of a public network such as the global computer network known as the Internet, a private network, a cellular network and any other communication system or systems at one or more locations.
[00060] Throughout the present disclosure, the term “process”* relates to any collection or set of instructions executable by a computer or other digital system so as to configure the computer or the digital system to perform a task that is the intent of the process.
[00061] Throughout the present disclosure, the term ‘Artificial intelligence (AI)’ as used herein relates to any mechanism or computationally intelligent system that combines knowledge, techniques, and methodologies for controlling a bot or other element within a computing environment. Furthermore, the artificial intelligence (AI) is configured to apply knowledge and that can adapt it-self and learn to do better in changing environments. Additionally, employing any computationally intelligent technique, the artificial intelligence (AI) is operable to adapt to unknown or changing environment for better performance. The artificial intelligence (AI) includes fuzzy logic engines, decision-making engines, preset targeting accuracy levels, and/or programmatically intelligent software.

Claims
I/We Claim:
Claim 1:
A system for determining the Air Pollution Tolerance Index (APTI) of a vegetative plant, comprising:
a sample collection unit for obtaining plant tissue;
an analysis unit for assessing physiological and biochemical parameters of the plant tissue;
a database containing reference values for various plant species related to their APTI;
a processing unit configured to compute the APTI based on the analyzed physiological and biochemical parameters and compare with reference values; and
an output module for presenting the APTI and its comparison with reference values.
Claim 2:
The system of claim 1, wherein the sample collection unit includes an apparatus for extracting leaf samples without causing damage to the vegetative plant.
Claim 3:
The system of claim 1, wherein the analysis unit comprises equipment for determining the ascorbic acid content, total chlorophyll, relative water content, and leaf extract pH.
Claim 4:
The system of claim 1, wherein the database is regularly updated to include APTI values from newly studied plant species and incorporates environmental changes and their effects on plant physiology.
Claim 5:
The system of claim 1, wherein the processing unit employs algorithms to weight each physiological and biochemical parameter differently, based on their relative importance in determining the APTI.
Claim 6:
The system of claim 1, wherein the output module includes visualization tools to graphically represent the APTI in relation to reference values, allowing for intuitive comparisons.
Claim 7:
The system of claim 1, further comprising a user interface that enables manual input of external environmental parameters, such as ambient air quality, which may influence the APTI.
Claim 8:
The system of claim 1, wherein the processing unit also integrates climatic and seasonal data in its computation of the APTI, considering the effects of temperature, humidity, and seasonality on plant physiology.
Claim 9:
The system of claim 1, further comprising a communication module for sharing determined APTI values with other systems or platforms, fostering collaborative research and data integration.
Claim 10:
A method for determining the Air Pollution Tolerance Index of a vegetative plant using the system, comprising the steps of:
obtaining plant tissue using the sample collection unit;
analyzing the physiological and biochemical parameters of the tissue using the analysis unit;
computing the APTI based on analyzed parameters using the processing unit;
comparing the computed APTI with reference values stored in the database; and
presenting the determined APTI and its relation to reference values via the output module, facilitating the evaluation of the plant's tolerance to air pollution.

SYSTEM TO DETERMINE AIR POLLUTION TOLERANCE INDEX OF VEGETATIVE PLANT
Abstract
The present invention provides a system for determining the Air Pollution Tolerance Index (APTI) of vegetative plants. It includes a sample collection unit for obtaining plant tissue, an analysis unit for assessing physiological and biochemical parameters, and a database with reference APTI values. The processing unit computes the APTI based on the analyzed parameters and compares it with reference values. The output module presents the APTI, facilitating the evaluation of plant tolerance to air pollution. The system can be customized and expanded with features such as damage-free leaf sampling, specific analysis tools, graphical visualization, environmental parameter inputs, seasonal data integration, and communication modules. , Claims:Claims
I/We Claim:
Claim 1:
A system for determining the Air Pollution Tolerance Index (APTI) of a vegetative plant, comprising:
a sample collection unit for obtaining plant tissue;
an analysis unit for assessing physiological and biochemical parameters of the plant tissue;
a database containing reference values for various plant species related to their APTI;
a processing unit configured to compute the APTI based on the analyzed physiological and biochemical parameters and compare with reference values; and
an output module for presenting the APTI and its comparison with reference values.
Claim 2:
The system of claim 1, wherein the sample collection unit includes an apparatus for extracting leaf samples without causing damage to the vegetative plant.
Claim 3:
The system of claim 1, wherein the analysis unit comprises equipment for determining the ascorbic acid content, total chlorophyll, relative water content, and leaf extract pH.
Claim 4:
The system of claim 1, wherein the database is regularly updated to include APTI values from newly studied plant species and incorporates environmental changes and their effects on plant physiology.
Claim 5:
The system of claim 1, wherein the processing unit employs algorithms to weight each physiological and biochemical parameter differently, based on their relative importance in determining the APTI.
Claim 6:
The system of claim 1, wherein the output module includes visualization tools to graphically represent the APTI in relation to reference values, allowing for intuitive comparisons.
Claim 7:
The system of claim 1, further comprising a user interface that enables manual input of external environmental parameters, such as ambient air quality, which may influence the APTI.
Claim 8:
The system of claim 1, wherein the processing unit also integrates climatic and seasonal data in its computation of the APTI, considering the effects of temperature, humidity, and seasonality on plant physiology.
Claim 9:
The system of claim 1, further comprising a communication module for sharing determined APTI values with other systems or platforms, fostering collaborative research and data integration.
Claim 10:
A method for determining the Air Pollution Tolerance Index of a vegetative plant using the system, comprising the steps of:
obtaining plant tissue using the sample collection unit;
analyzing the physiological and biochemical parameters of the tissue using the analysis unit;
computing the APTI based on analyzed parameters using the processing unit;
comparing the computed APTI with reference values stored in the database; and
presenting the determined APTI and its relation to reference values via the output module, facilitating the evaluation of the plant's tolerance to air pollution.