Deep learning-based accurate detection of insects and damage in cruciferous crops using YOLOv5

Deep learning-based accurate detection of insects and damage in cruciferous crops using YOLOv5

Insects are an integral part of an agroecosystem. Some of them are pestiferous, while some are beneficial like- natural enemies and pollinators. Therefore, it is very important to identify and manage them timely. With the rapid development of convolutional neural networks, automatic detection techni...

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Bibliographic Details
Main Authors: Sourav Chakrabarty, Pathour Rajendra Shashank, Chandan Kumar Deb, Md. Ashraful Haque, Pradyuman Thakur, Deeba Kamil, Sudeep Marwaha, Mukesh Kumar Dhillon
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Smart Agricultural Technology
Subjects:
Agriculture
Crucifers
Deep learning
Detection
YOLOv5
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375524002685
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