Plant Health Analyzer Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Plant Health Analyzer Using Convolutional Neural Networks

Published:2023 Issue: Volume: Page:333-342
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Bhavani M.,Peeyush K. P.,Jayabarathi R.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-7753-4_26

Reference15 articles.

1. Pooja V, Das R, Kanchana V (2017) Identification of plant leaf diseases using image processing techniques. In: IEEE technological innovations in ICT for agriculture and rural development (TIAR), pp 130–133

2. Supriya P, Jayabarathi R, Jeyanth C, Yogeshwar B, Sarvesh A, Shurfudeen M (2020) Preliminary investigation for Tamil cine music deployment for mood music recommender system. In: 6th International conference on advanced computing and communication systems (ICACCS), pp 1111–1115

3. Johannes A, Picon A, Alvarez-Gila A, Echazarra J, Rodriguez-Vaamonde S, Navajas AD, Ortiz-Barredo A (2017) Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case. Comput Electron Agric 138:200–209

4. Zhang S, Wang H (2017) Plant diseased leaf segmentation and recognition by fusion of superpixel, K-means and PHOG. Cogn Syst Res Optik 866–872

5. Hu Q-X, Tian J, He D-J (2017) Wheat leaf lesion color image segmentation with improved multichannel selection based on the Chan–Vese model. J Comput Electron Agric 260–268

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