BGCNN: A Computer Vision Approach to Recognize of Yellow Mosaic Disease for Black Gram-Reference-Cited by-同舟云学术

BGCNN: A Computer Vision Approach to Recognize of Yellow Mosaic Disease for Black Gram

Published:2021-09-14 Issue: Volume: Page:189-202
ISSN:2367-4512
Container-title:Computer Networks and Inventive Communication Technologies
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Author:

Hridoy Rashidul Hasan,Rakshit Aniruddha

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-3728-5_14

Reference20 articles.

1. Vigna mungo. https://en.wikipedia.org/wiki/Vigna_mungo

2. Black Gram: Nutrition, Therapeutic Benefits, Uses for Skin and Hair. https://www.netmeds.com/health-library/post/black-gram-nutrition-therapeutic-benefits-uses-for-skin-and-hair

3. Mohiuddin, M., Akter, N., Khanum, R.: Economics of black gram cultivation and its impact on farmers livelihood in two selected districts of Bangladesh. SAARC J. Agric. 16 (2018)

4. TNAU Agritech Portal: Crop Protection. https://agritech.tnau.ac.in/crop_protection/black_gram_disease/blackgram_d8.html

5. Mia, M.R., Roy, S., Das, S.K.: Mango leaf disease recognition using neural network and support vector machine. Iran J. Comput. Sci. 3, 185–193 (2020)

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