Classifying insect pests from image data using deep learning

Classifying insect pests from image data using deep learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Bibliografiset tiedot
Päätekijät:	Mohsin, Md. Raiyan Bin, Ramisa, Sadia Afrin, Saad, Mohammad, Rabbani, Shahreen Husne, Tamkin, Salwa
Muut tekijät:	Ashraf, Faisal Bin
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2022
Aiheet:	IP102 Insect pest Transfer learning Data augmentation Classification Cognitive learning theory (Deep learning) Machine learning. Artificial intelligence
Linkit:	http://hdl.handle.net/10361/16914

Samankaltaisia teoksia

Literature review of insect pests and diseases of rice in Bangladesh.
Julkaistu: (1977)

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Tekijä: Shepard, Barclay M.
Julkaistu: (1987)

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Tekijä: Prithvi, Protyusha Barua, et al.
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Tekijä: Ananto, Azizul Haque
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Tekijä: Swadesh, Shimran Mahbub, et al.
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Tekijä: Mokarrom, Md Saif, et al.
Julkaistu: (2024)

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Tekijä: Krause, Lois Breur
Julkaistu: (2008)

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Tekijä: Tapu, Sakib Uddin, et al.
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