ISSN : 2663-2187
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Strategies for Teaching Vocabulary Effectively to ESL Students: Identifying and Resolving Challenges : An Emperical Study
Volume 7 | Issue - 1 articles in press
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Perceiving the Self and Others: A Phenomenological Analysis of Character Consciousness in Anita Nair's Fiction
Volume 7 | Issue - 1 articles in press
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Soft Skills: The Catalyst for Critical Thinking in Engineering Education
Volume 7 | Issue - 1 articles in press
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A Comprehensive Framework for Exploring and Evaluating Learning Digital Resources in English Language Classrooms
Volume 7 | Issue - 1 articles in press
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EXPLORATION OF INDIGOFERA PROSTRATE AGAINST OXIDATIVE STRESS AND EVALUATION FOR NEUROPROTECTION IN CHEMICALLY INDUCED NEUROTOXIC RATS
Volume 7 | Issue - 1 articles in press
Automated Identification and Classification of Sugarcane Diseases Using a Machine Learning and Image Analysis
Main Article Content
Abstract
This research paper introduces a comprehensive system for the automatic identification and classification of sugarcane diseases (AICSD). It utilizes advanced machine learning techniques, specifically a Convolutional Neural Network (CNN) coupled with image analysis, to achieve an efficient and precise diagnosis of diseases in sugarcane crops.
