Automated Detection of Rice Bakanae Disease via Drone Imagery

Automated Detection of Rice Bakanae Disease via Drone Imagery

This paper proposes a system for the forecasting and automated inspection of rice Bakanae disease (RBD) infection rates via drone imagery. The proposed system synthesizes camera calibrations and area calculations in the optimal data domain to detect infected bunches and classify infected rice culm n...

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Bibliographic Details
Main Authors: Donghoon Kim, Sunghwan Jeong, Byoungjun Kim, Seo-jeong Kim, Heegon Kim, Sooho Jeong, Ga-yun Yun, Kee-Yeun Kim, Keunho Park
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
rice Bakanae disease
drone
smart farm
paddy field agriculture
artificial intelligence
deep learning
Online Access:https://www.mdpi.com/1424-8220/23/1/32

Internet

https://www.mdpi.com/1424-8220/23/1/32

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