An Improved Mathematical Model by Applying Machine Learning Algorithms for Identifying Various Medicinal Plants and Raw Materials

The utilization of medicinal plants holds significant promise for healthcare and pharmaceutical applications. However, the accurate identification of diverse plant species or raw materials can be challenging, necessitating innovative solutions. This project presents a novel approach for the Recognizable proof of Therapeutic Plants or Crude Materials through Picture Preparing, utilizing progressed Machine Learning Calculations. with a wealthy legacy of flower differing qualities, is well-known for its medicinal plant resources, but distinguishing evidence is one of the most challenging challenges in Ayurvedic Pharmaceutics. Some unrefined drugs are sold under the same name on the marketplace, causing confusion and misidentification. Indeed, collectors and dealers are not entirely aware of the distinct morphological appearance or differentiating qualities of the numerous substances due to their frequent and geographical accessibility, as well as comparable properties. In this technique, a computer capable of differentiating diverse medicinal plants/raw materials using Image Preparation Using Distinctive Machine Learning Calculations would be quite beneficial. It will be helpful at every stage of the supply chain of crude cloth being used within the framework. Herre the picture preparing strategy is considered as the most strategy for classifying diverse plants of diverse characteristics or particular parcels or locales of the plant clears out which can be at that point recognized through picture handling. Distinguishing proof of plants through plant takes off on the premise of their shape, colour, and surface highlights utilizing computerized picture handling methods for classifying the plant species utilizing diverse machine learning calculations. This investigates work incorporates checking on numerous pictures preparing strategies to utilize machine learning to recognize different plants utilizing it take off highlight within the shape of a picture...

Authors

Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2024-08-15
DOI
https://doi.org/10.52783/cana.v31.1234
Citations
16
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
9.59
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Improved Mathematical Model by Applying Machine Learning Algorithms for Identifying Various Medicinal Plants and Raw Materials

Srinivasa Babu Kasturi
16 citations
Communications on Applied Nonlinear Analysis
Smart Agriculture and AI
9.59
article

An Improved Mathematical Model by Applying Machine Learning Algorithms for Identifying Various Medicinal Plants and Raw Materials

Srinivasa Babu Kasturi
article en
16 citations

Abstract

The utilization of medicinal plants holds significant promise for healthcare and pharmaceutical applications. However, the accurate identification of diverse plant species or raw materials can be challenging, necessitating innovative solutions. This project presents a novel approach for the Recognizable proof of Therapeutic Plants or Crude Materials through Picture Preparing, utilizing progressed Machine Learning Calculations. with a wealthy legacy of flower differing qualities, is well-known for its medicinal plant resources, but distinguishing evidence is one of the most challenging challenges in Ayurvedic Pharmaceutics. Some unrefined drugs are sold under the same name on the marketplace, causing confusion and misidentification. Indeed, collectors and dealers are not entirely aware of the distinct morphological appearance or differentiating qualities of the numerous substances due to their frequent and geographical accessibility, as well as comparable properties. In this technique, a computer capable of differentiating diverse medicinal plants/raw materials using Image Preparation Using Distinctive Machine Learning Calculations would be quite beneficial. It will be helpful at every stage of the supply chain of crude cloth being used within the framework. Herre the picture preparing strategy is considered as the most strategy for classifying diverse plants of diverse characteristics or particular parcels or locales of the plant clears out which can be at that point recognized through picture handling. Distinguishing proof of plants through plant takes off on the premise of their shape, colour, and surface highlights utilizing computerized picture handling methods for classifying the plant species utilizing diverse machine learning calculations. This investigates work incorporates checking on numerous pictures preparing strategies to utilize machine learning to recognize different plants utilizing it take off highlight within the shape of a picture...

Communications on Applied Nonlinear AnalysisVol. 31(6s)
Openalex Percentile: Top 2%
Smart Agriculture and AI
9.59
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

An Improved Mathematical Model by Applying Machine Learning Algorithms for Identifying Various Medicinal Plants and Raw Materials — Srinivasa Babu Kasturi · Communications on Applied Nonlinear Analysis (2024) | TGRS Research Map | TGRS