Weed detection in rice fields using UAV and multispectral aerial imagery †

• Main Authors: Rosle, Rhushalshafira, Sulaiman, Nursyazyla, Che’Ya, Nik Norasma, Mohd Radzi, Mohd Firdaus, Omar, Mohamad Husni, Berahim, Zulkarami, Fazlil Ilahi, Wan Fazilah, Shah, Jasmin Arif, Ismail, Mohd Razi
• Format: Article
• Language: English
• Published: MDPI 2022
• Online Access: http://psasir.upm.edu.my/id/eprint/102622/1/102622.pdf; http://psasir.upm.edu.my/id/eprint/102622/; https://www.mdpi.com/2673-4583/10/1/44
• Institution: Universiti Putra Malaysia

Weeds are plants that compete for nutrients, space, and light and exert many harmful effects by reducing the quality and quantity of crops if the weed population is uncontrolled. The direct yield loss has been estimated to be within the range of 16–86%, depending on the type of rice culture, weed sp...