Agricultural Insect Pest’s Recognition System Using Deep Learning Model-Reference-Cited by-同舟云学术

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Agricultural Insect Pest’s Recognition System Using Deep Learning Model

Published:2023 Issue: Volume: Page:287-299
ISSN:2367-3370
Container-title:Third Congress on Intelligent Systems
language:
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Author:

Dewari Sapna,Gupta Meenu,Kumar Rakesh

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-9225-4_22

Reference17 articles.

1. Pavela R (2016) History, presence and perspective of using plant extracts as commercial botanical insecticides and farm products for protection against insects–a review. Plant Prot Sci52(4):229–241

2. Ebrahimi MA, Khoshtaghaza MH, Minaei S, Jamshidi B (2017) Vision-based pest detection based on SVM classification method. Comput Electron Agric137:52–58

3. Durgabai RPL, Bhargavi P (2018) Pest management using machine learning algorithms: a review. Int J Comput Sci Eng Inform Technol Res (IJCSEITR)8(1):13–22

4. Lima MCF, de Almeida Leandro MED, Valero C, Coronel LCP, Bazzo COG (2020) Automatic detection and monitoring of insect pests—a review. Agriculture10(5):161

5. Fuentes A, Yoon S, Kim SC, Park DS (2017) A robust deep-learning-based detector for real-time tomato plant diseases and pests recognition. Sensors17(9):2022

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