AI-powered banana diseases and pest detection

Loading...
Thumbnail Image

Date Issued

Date Online

2019-08-12

Language

en

Review Status

Peer Review

Access Rights

Open Access Open Access

Usage Rights

CC-BY-4.0

Share

Citation

Selvaraj, M.G.; Vergara, A.; Ruiz, H.; Safari, N.; Elayabalan, S.; Ocimati, W.; Blomme, G. (2019) AI-powered banana diseases and pest detection. Plant Methods 15: article 92. ISSN: 1746-4811

Permanent link to cite or share this item

External link to download this item

Abstract/Description

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.

Author ORCID identifiers