DETECTION AND CLASSIFICATION OF DISEASES OF CASSAVA LEAVES: USING DEEP NEURAL NETWORKS WITH OPTIMIZATION ALGORITHMS - Softcover

Phong, Bui Hai

Softcover

ISBN 10: 6209497748 ISBN 13: 9786209497742

Publisher: LAP LAMBERT Academic Publishing, 2026

Synopsis

Cassava stands as a vital staple crop and the most significant source of starch globally, playing a fundamental role in ensuring food security and providing income for millions of people, particularly within developing nations. Ranked as the fifth most cultivated staple food crop in the world, cassava is distinguished by its robust adaptability to diverse soil types and harsh environmental conditions. However, both agricultural productivity and farmer livelihoods face severe threats from the proliferation of diseases, including cassava mosaic disease (CMD), cassava brown streak disease (CBSD), cassava green mottle (CGM), and cassava bacterial blight (CBB).Traditional disease diagnosis remains heavily reliant on manual visual inspections conducted by specialists—a method that is not only time-consuming and subjective but also significantly limited by the scarcity of skilled plant pathologists in many regions. In this context, the development of automated and reliable methods for identifying cassava diseases has become an urgent necessity.This book introduces advanced methodologies utilizing Deep Neural Networks integrated with optimization algorithms.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2026
• Language: English
• ISBN 10: 6209497748
• ISBN 13: 9786209497742
• Binding: Paperback
• Number of pages: 68