Application of Deep Neural Networks for Weed Detection and Classification-Reference-Cited by-同舟云学术

Application of Deep Neural Networks for Weed Detection and Classification

Published:2023-05-04 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
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Author:

Ganesan R.¹,Manjula G.²,Chandan Madhavarapu³,Thamarai I.⁴,Rajavelu S.⁵,Bhatt Upendra Mohan⁶,Sarkar Swagata⁷

Affiliation:

1. Vel Tech RangarajanDr.Sagunthala R&D institute of science and Technology,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India,600062

2. RMK College of Engineering and Technology,Department of Computer Science and Engineering,Thiruvallur,Tamil Nadu,India,601206

3. Koneru Lakshmaiah Education Foundation,Department of Computer Science Engineering,Vaddeswaram,Andhra Pradesh,India,522302

4. Panimalar Engineering College,Department of Computer Science and Engineering,Chennai city campus,Tamil Nadu,India,600029

5. PSNA College of Engineering and Technology (Autonomous),Department of Physics,Dindigul,Tamil Nadu,India,624622

6. Graphic Era Deemed to be University,Department of Computer Science and Engineering,Dehradun,Uttarakhand,India,248002

7. Sri Sairam Engineering College,Department ofArtificial Intelligence and Data Science,Chennai,Tamil Nadu,India,600044

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10140172/10140203/10140235.pdf?arnumber=10140235

Reference12 articles.

1. Deep learning in agriculture: A survey

2. Investigation of alternate herbicides for effective weed management in glyphosate-tolerant cotton

3. Computer vision technology in agricultural automation —A review

4. The 2018 european union report on pesticide residues in food;medina-pastor;The EFSA Journal,2020

5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

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