Paper Title
On the Raw Cotton Image Classification Model using Convolution Neural Network Architecture
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Registration ID: IJNRD_309420
Published ID: IJNRD2509100
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Keywords
Index Terms - Accuracy, Deep learning, CNN, Log loss, Prediction.
Abstract
Abstract: Suicides in general, including farmers' suicides, are a sad and complex phenomenon. Hence, their underlying causes need to be addressed within an equally complex societal framework. Although officially recognized for having increased production and farmers' income, through cotton farming, genetically-modified, insect-resistant cotton, remains highly controversial in India. Among other allegations, Defective sorting of cotton crop in the market and thereafter raw cotton classified in to different Grades based on which rates are determined, After selling the cotton in the local market, wrong Grading of the farmer's crop ,leading him in financial trouble is also the cause of farmer's suicide. In this paper, we provide a worth Cotton Grading solution on cotton and farmer suicides, taking into account information from published official and unofficial reports, peer-reviewed journal articles ,we first gather the 9171 raw images of fresh raw cotton and cotton yarn samples directly from the farm field. Second, we manually classified the collected samples in three different categories. Cotton classification using ANN was experimented which has generated disappointing results initially in some particular categories and further proposed technique of CNN has provided improvement in accuracy and minimum Sparse categorical Entropy. At the end we concluded the paper by proposing a conceptual framework for empirical applications linking the different agricultural and
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How To Cite (APA)
D. R. Solanke, S.D. Pachpande, & R. D. Bhoyar (September-2025). On the Raw Cotton Image Classification Model using Convolution Neural Network Architecture. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(9), a894-a900. https://ijnrd.org/papers/IJNRD2509100.pdf
Issue
Volume 10 Issue 9, September-2025
Pages : a894-a900
Other Publication Details
Paper Reg. ID: IJNRD_309420
Published Paper Id: IJNRD2509100
Research Area: Science and Technology
Author Type: Indian Author
Country: Amravati, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2509100.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2509100
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