INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Plant diseases significantly impact crop yields and food security. This paper investigates two data augmentation methods for deep learning-based plant disease classification: custom augmentation layers integrated into a Keras Sequential model and the ImageDataGenerator utility. Our comparative analysis reveals their impact on model performance, offering insights into choosing the most suitable augmentation strategy. Both approaches enhance accuracy, with implications for precision agriculture and crop protection. This research contributes to sustainable agriculture practices.
Keywords:
Deep Learning; Data Augmentation; Agriculture
Cite Article:
"Deep Learning Approaches for Intelligent Plant Leaf Disease Prediction", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 1, page no.78 - 83, January-2024, Available :http://www.ijsdr.org/papers/IJSDR2401012.pdf
Downloads:
000338720
Publication Details:
Published Paper ID: IJSDR2401012
Registration ID:209352
Published In: Volume 9 Issue 1, January-2024
DOI (Digital Object Identifier):
Page No: 78 - 83
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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