Cassava Leaf Disease Classification With Deep Learning:- Chijioke Joseph C
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ABSTRACT
In recent years, the intersection between agriculture and technology has produced promising innovations that are reshaping how food is produced, processed, and protected. Among these innovations, deep learning, a sub-field of artificial intelligence (Al), has gained prominence due to its ability to automatically learn from large volumes of data and make accurate predictions Deep learning is inspired by the neural structure of the human brain but is built using layerec mathematical models known as artificial neural networks (ANNs).
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APA
CHIMEZIE, C. J. (2026). Cassava Leaf Disease Classification With Deep Learning:- Chijioke Joseph C. Michael Okpara University of Agriculture. Retrieved October 8, 2026, from https://repository.mouau.edu.ng/works/cassava-leaf-disease-classification-with-deep-learning-chijioke-joseph-c-39-2
MLA
CHIMEZIE, CHIJIOKE JOSEPH. "Cassava Leaf Disease Classification With Deep Learning:- Chijioke Joseph C." Michael Okpara University of Agriculture, 8 Oct. 2026, https://repository.mouau.edu.ng/works/cassava-leaf-disease-classification-with-deep-learning-chijioke-joseph-c-39-2. Accessed October 8, 2026.
Chicago
CHIMEZIE, CHIJIOKE JOSEPH. "Cassava Leaf Disease Classification With Deep Learning:- Chijioke Joseph C." Michael Okpara University of Agriculture (2026). Accessed October 8, 2026. https://repository.mouau.edu.ng/works/cassava-leaf-disease-classification-with-deep-learning-chijioke-joseph-c-39-2