Plant Leaf Identification Using HOG and Random Forest Regressor-Reference-Cited by-同舟云学术

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Plant Leaf Identification Using HOG and Random Forest Regressor

Published:2021 Issue: Volume: Page:515-525
ISSN:2190-3018
Container-title:Smart Computing Techniques and Applications
language:
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Author:

Bal Jyotisagar,Rath Manas Kumar,Swain Prasanta Kumar

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-1502-3_51

Reference13 articles.

1. Tsolakidis, D.G., Kosmopoulos, D.I., Papadourakis, G.: Plant leaf recognition using Zernike moments and histogram of oriented gradients. In: Hellenic Conference on Artificial Intelligence, pp. 406–417. Springer, Cham (2014)

2. Liu, J., Lv, F., Di, P.: Identification of sunflower leaf diseases based on random forest algorithm. In: International Conference on Intelligent Computing, Automation and Systems (ICICAS), pp. 459–463. IEEE (2019)

3. Chaki, J., Parekh, R.: Plant leaf recognition using shape based features and neural network classifiers. Int. J. Adv. Comput. Sci. Appl. (IJACSA) 2(10) (2011)

4. Raut, S.P., Bhalchandra, A.S.: Plant recognition system based on leaf image. In: 2nd International Conference on Intelligent Computing and Control Systems (ICICCS), pp. 1579–1581. IEEE (2018)

5. Xia, Q., Zhu, H.D., Gan, Y., Shang, L.: Plant leaf recognition using histograms of oriented gradients. In: International Conference on Intelligent Computing, pp. 369–374. Springer, Cham (2014)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid CNN & Random Forest Model for Effective Ashwagandha Leaf Disease Diagnosis;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

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