Deep learning-based approach for identification of diseases of maize crop

In recent years, deep learning techniques have shown impressive performance in the field of identification of diseases of crops using digital images. In this work, a deep learning approach for identification of in-field diseased images of maize crop has been proposed. The images were captured from e...

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Bibliographic Details
Published in:Scientific reports 2022-04, Vol.12 (1), p.6334-14, Article 6334
Main Authors: Haque, Md. Ashraful, Marwaha, Sudeep, Deb, Chandan Kumar, Nigam, Sapna, Arora, Alka, Hooda, Karambir Singh, Soujanya, P. Lakshmi, Aggarwal, Sumit Kumar, Lall, Brejesh, Kumar, Mukesh, Islam, Shahnawazul, Panwar, Mohit, Kumar, Prabhat, Agrawal, R. C.
Format: Article
Language:English
Subjects:
631/449
639/705/117
Cameras
Cereal crops
Corn
Crops, Agricultural
Deep Learning
Humanities and Social Sciences
India
Leaf blight
multidisciplinary
Science
Science (multidisciplinary)
Sheath blight
Training
Zea mays
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