Rice Disease Detection and Classification Using Deep Neural Network Algorithm-Reference-Cited by-同舟云学术

Rice Disease Detection and Classification Using Deep Neural Network Algorithm

Published:2020 Issue: Volume: Page:555-566
ISSN:2367-3370
Container-title:Micro-Electronics and Telecommunication Engineering
language:
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Author:

Ramesh S.,Vydeki D.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-2329-8_56

Reference10 articles.

1. Kusumo BS, Heryana A, Mahendra O, Pardede H (2018) Machine learning-based for automatic detection of corn-plant diseases using image processing, pp 93–97

2. Wu N, Li M, Chen L, Yuan Y, Song S (2017) A LDA-based segmentation model for classifying pixels in crop diseased images. In: 2017 36th Chinese control conference (CCC). Dalian, pp 11499–11505

3. Sandika B, Avil S, Sanat S, Srinivasu P (2016) Random forest based classification of diseases in grapes from images captured in uncontrolled environments. In: 2016 IEEE 13th international conference on signal processing (ICSP). Chengdu, pp 1775–1780

4. https://economictimes.indiatimes.com/news/economy/agriculture/india-set-for-record-foodgrain-output-in-2017-18-agricultureministry/articleshow/63098420.cms

5. Joshi AA, Jadhav BD (2016) Monitoring and controlling rice diseases using Image processing techniques. In: 2016 international conference on computing, analytics and security trends (CAST). Pune, pp 471–476

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