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AI-powered banana diseases and pest detection

Banana (Musa spp.) is the most popular marketable fruit crop grown all over the world, and a dominant staple food in many developing countries. Worldwide, banana production is affected by numerous diseases and pests. Novel and rapid methods for the timely detection of pests and diseases will allow t...

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Main Authors: Selvaraj, Michael Gomez, Vergara, A., Ruíz, H., Safari, N., Elayabalan, S., Ocimati, W., Blomme, Guy
Format: Journal Article
Language:Inglés
Published: Springer 2019
Subjects:
artificial intelligence
learning
computer applications
information systems
disease surveillance
pests of plants
bananas
Online Access:https://hdl.handle.net/10568/103473
Summary:Banana (Musa spp.) is the most popular marketable fruit crop grown all over the world, and a dominant staple food in many developing countries. Worldwide, banana production is affected by numerous diseases and pests. Novel and rapid methods for the timely detection of pests and diseases will allow to surveil and develop control measures with greater efficiency. As deep convolutional neural networks (DCNN) and transfer learning has been successfully applied in various fields, it has freshly moved in the domain of just-in-time crop disease detection. The aim of this research is to develop an AI-based banana disease and pest detection system using a DCNN to support banana farmers.

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