Plant Disease Identification Using Machine Learning Techniques - Automatic detection and categorization of plant leaf diseases

Aug 3, 2026

Upload by Eliana

Plant Disease Identification using machine learning focuses on enabling automatic detection and categorization of plant leaf diseases to support timely and accurate agricultural practice. The work addresses the limitations of manual optical inspection by leveraging distant digging out and advanced image processing on multi- and hyper-dimensional image data. It reviews disease categorization techniques and applies back propagation and head segment analysis through neural-network training, while acknowledging accuracy challenges.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages7

Reading Time18 min

AccessFree to download

Introduction

About plant

Plant Disease Impediment

Technologies Accessible To Distinguish Plant Sickness

Related Work

Journal of Advanced Zoology ISSN: 0253-7214 Volume 44 IssueS-6 Year 2023 Page 798:804 Plant Disease Identification Using Machine Learning Techniques Lavanya G1, Leela K, Nikitha N2, Varshitha B S3, Aruna Kumara B4 1,2,3,4School of Computing and Information Technology REVA University, Bangalore, India. Email: [lavanyag2523@gmail.com](lavanyag2523@gmail.com1)[1](lavanyag2523@gmail.com1) , [leelakannan1999@gmail.com](leelakannan1999@gmail.com2)[2](leelakannan1999@gmail.com2) , [nikithannagaraj98@gmail.com](nikithannagaraj98@gmail.com3)[3](nikithannagaraj98@gmail.com3) , [varshabahadhur491@gmail.com](varshabahadhur491@gmail.com4)[4](varshabahadhur491@gmail.com4) , [arunakumara.b@reva.edu.in](arunakumara.b@reva.edu.in5)[5](arunakumara.b@reva.edu.in5) *Corresponding author’s E-mail: [lavanyag2523@gmail.com](lavanyag2523@gmail.com) | Article History
Received: 06 June 2023
Revised: 05 Sept 2023
Accepted: 30 Nov 2023
CC License
CC-BY-NC-SA 4.0 | Abstract
Plants have become a principle origin of energy and are a basic piece in the complexity to work out the problems of a worldwide temperature alteration. There are various kinds of infections which are available in plants. To identify these sicknesses design are needed to remember them. A symbolic strategy for this situation is the utilization of distant dig-out strategies that explore multi and hyper unearthly picture clutch. The strategy that accepts this methodology regularly utilize advanced picture preparing devices to execute their objective. In this paper, various machine learning techniques are handed-down for automatic detection and categorization of plant leaf diseases. It also covers survey on numerous diseases categorization techniques that can be handeddown for plant leaf disease identification. In the remain work back proliferation and head segment investigation are utilized to distinguish plant sicknesses. These calculations are gained from preparing management in neural organization. There is an issue of exactness in these calculations.
Keywords: Wellspring Of Energy, An Unnatural Weather Change, Detecting Procedure, Expectation | | --- | --- | 1. Introduction Horticulture is the pillar of India's economy. It represents 26% of the gross neighborhood item. It guarantees food security for the country and assembling a few crude materials for ventures. Farming development is consequently, a precondition of our public success. Agriculture provides crude stuff to separate agro-based businesses like sugar, jute, cotton stuff and vanaspati enterprises. Food making ventures are also subject to agribusiness. Accordingly the advancement of these ventures completely is reliant upon agribusiness. Our country India has consistently been an agribusiness telling country from the start of its civilization. Horticulture not just gives food, feed and fuel for individuals yet in addition is an approach to acquire occupation for the vast majority of individuals living in country regions. About plant Opportune and exact acknowledgment of plant infections is vital for economical and right farming, just as for forestalling pointless misuse of monetary and different assets. Some plant illnesses don't have noticeable imprint and it is unavoidable to utilize progressed examination strategies in such infections. In any case, most of plant sicknesses show noticeable indications, and the method that is acknowledged today is that an accomplished plant pathologist identifies the illness through optical perception of contaminated plant leaves. Fig 1: Various types of leaves Plant sickness the board faces consistently developing difficulties because of : (i) expanding requests for aggregate, protected and different food varieties to help the flourishing worldwide populace and its improving expectations for everyday comforts. (ii) decreasing creation potential in agribusiness because of rivalry for land in ripe regions and fatigue of peripheral. Plant Sick

FAQs

What problem does the paper address in agriculture?

The paper addresses the need for timely and accurate recognition of plant infections, which is essential for sustainable and correct farming and for reducing losses.

Which approach is used for automatic plant leaf disease detection?

The approach uses machine learning techniques with advanced image processing on multi- and hyper-dimensional imagery to perform detection and categorization of leaf diseases.

What methods are highlighted in the related work and proposed analysis?

The document mentions expert systems for diagnosis, reviews various classification procedures, and states that back propagation and head segment investigation are used to distinguish plant diseases.

Aug 3, 2026

Upload by Eliana