Computer Vision Technique for Optimum Nitrogen Application in Rice

Muhammad Zakaria Hossain, Masud Alam, Mohammad Arshadul Haque, Afzal Rahman, Abdul Awal

Abstract


Machine-vision-based yield prediction models were developed for Nitrogen N management for rice cultivar: Oryza sativa. Field images of rice plants were acquired using a camcorder mounted on an image acquisition unit IAU designed for flooded rice fields.

Keywords


Computer Vision; Technique; Optimum Nitrogen

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Copyright (c) 2014 Muhammad Zakaria Hossain, Masud Alam, Mohammad Arshadul Haque, Afzal Rahman, Abdul Awal

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