Identification and Detection of Leaf Miner, Pests Infestation in Cucurbitaceae Family in Real Time Infield Scenarios using YOLOv5s Object Detection Model-Reference-Cited by-同舟云学术

Identification and Detection of Leaf Miner, Pests Infestation in Cucurbitaceae Family in Real Time Infield Scenarios using YOLOv5s Object Detection Model

Published:2024-02-28 Issue: Volume:20 Page:1742-1748
ISSN:
Container-title:2024 11th International Conference on Computing for Sustainable Global Development (INDIACom)
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Author:

Keerthi Prasad M A¹,Shobha Rani N¹,Sangamesha M A²,Vinay K V³

Affiliation:

1. Amrita School of Computing Amrita Vishwa Vidyapeetham,Department of Computer Science,Mysuru,India

2. The National Institute of Engineering,Department of Chemistry,Mysuru,India

3. The National Institute of Engineering,Department of Computer Science,Mysuru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498128/10498148/10498728.pdf?arnumber=10498728

Reference27 articles.

1. Leafminers in vegetables, ornamental plants and weeds in Indonesia: Surveys of host crops, species composition and parasitoids

2. Emerging insect pest problems in vegetable crops and their management in India: An appraisal;Rai;Pest Management in Horticultural Ecosystems,2014

3. Population Dynamics of Major Insect Pests of Cucumber

4. Development of a model for estimation of soil parameters using deep learning

5. Microscopic biopsy image reconstruction using inception block with denoising auto-encoder approach

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