An Improved Inception Layer-Based Convolutional Neural Network for Identifying Rice Leaf Diseases-Reference-Cited by-同舟云学术

An Improved Inception Layer-Based Convolutional Neural Network for Identifying Rice Leaf Diseases

Published:2021 Issue: Volume: Page:119-129
ISSN:2367-4512
Container-title:Intelligent Learning for Computer Vision
language:
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Author:

Baranidharan B.,Kumar C. N. S. Vinoth,Babu M. Vasim

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-33-4582-9_10

Reference19 articles.

1. Himani G (2014) An analysis of agriculture sector in Indian economy. IOSR J Humanit Soc Sci (IOSR-JHSS) 19(1):47–54

2. India at a glance. https://www.fao.org/india/fao-in-india/india-at-a-glance/en/. Accessed 17 Nov 2019

3. Sharma B, Yadav JKPS (2020) Predict growth stages of wheat crop using digital image processing. Int J Recent Technol Eng (IJRTE) 8(5):3026–3035

4. Pandya C, Sharma LK (2018) A review on recent methods to detect leaf disease symptoms using image processing. Int J Sci Res (IJSR) 7(4):1339–1341

5. Mavridou E, Vrochidou E, Papakostas GA, Pachidis T, Kaburlasos VG (2019) Machine vision systems in precision agriculture for crop farming. J Imaging 5(89):1–32

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