Development of bio-medicinal plants and herbs classifier with random forest algorithm and QR code generator

In today’s time basically from ancient time India mostly uses ayurveda’s culture and that bio-medical plants can be under a ayurveda to cure the disease by making medicine using herbs. Bio-medicinal plants is known to be medical herbs which having therapeutic properties and we use for various medici...

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description In today’s time basically from ancient time India mostly uses ayurveda’s culture and that bio-medical plants can be under a ayurveda to cure the disease by making medicine using herbs. Bio-medicinal plants is known to be medical herbs which having therapeutic properties and we use for various medicinal purpose. It can be classified into several types based on various usages and chemical components like Alkaloid rich plant, Terphenoid rich plants, Glycoside rich plant and many more. In the development of Bio-medical plants and herbs classifier we have used the Random Forest classifier to classify these Random Forest is a classifier utilizing many decision trees on different subsets of the input dataset and averages the results in order to improve the dataset’s predictive accuracy. Also, QR codes have become increasingly popular in recent years, as they provide a quick and easy way to get information using a smartphone. There is an area to develop QR code particularly useful in identification and learning the information about medicinal plants and herbs. By generating QR code systems for plants and herbs, gardeners, horticulturists and other learners also can rapidly access information about a particular plant or herb, including its planting location, plant species plant origin, plant care instruction and plant identification etc. The use of QR codes has become more dominant during the COVID-19 pandemic as they provide a contactless way to get information and do transactions. QR codes are becoming gradually popular in the horticulture industry, providing a quick and suitable way for gardeners, horticulturists, and enthusiasts to access information about specific plants and herbs. This article discovers the development of a QR code system for various medicinal plants and herbs, its benefits, and potential applications in education and commercial plant sales. By using QR codes, individuals can expand their knowledge, promote sustainability, and enhance their overall experience with gardening. In this article the author introduces the QR code system for plants and herbs and how quickly it gives information about plants and herbs. the main use of QR code system is to store huge amounts of data in small areas so here time and space is completely utilized in an effective manner.
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By generating QR code systems for plants and herbs, gardeners, horticulturists and other learners also can rapidly access information about a particular plant or herb, including its planting location, plant species plant origin, plant care instruction and plant identification etc. The use of QR codes has become more dominant during the COVID-19 pandemic as they provide a contactless way to get information and do transactions. QR codes are becoming gradually popular in the horticulture industry, providing a quick and suitable way for gardeners, horticulturists, and enthusiasts to access information about specific plants and herbs. This article discovers the development of a QR code system for various medicinal plants and herbs, its benefits, and potential applications in education and commercial plant sales. By using QR codes, individuals can expand their knowledge, promote sustainability, and enhance their overall experience with gardening. 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source AIP Journals Complete
subjects Algorithms
Ayurvedic medicine
Codes
Datasets
Decision trees
Gardening
Herbal medicine
Herbs
Machine learning
Plant layout
Smartphones
title Development of bio-medicinal plants and herbs classifier with random forest algorithm and QR code generator
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