Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Nursyazyla Sulaiman"'
Autor:
Rhushalshafira Rosle, Nursyazyla Sulaiman, Nik Norasma Che′Ya, Mohd Firdaus Mohd Radzi, Mohamad Husni Omar, Zulkarami Berahim, Wan Fazilah Fazlil Ilahi, Jasmin Arif Shah, Mohd Razi Ismail
Publikováno v:
Chemistry Proceedings, Vol 10, Iss 1, p 44 (2022)
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
Externí odkaz:
https://doaj.org/article/8c29f81f6bed4a07a4e25019f207f132
Autor:
Nursyazyla Sulaiman, Nik Norasma Che’Ya, Muhammad Huzaifah Mohd Roslim, Abdul Shukor Juraimi, Nisfariza Mohd Noor, Wan Fazilah Fazlil Ilahi
Publikováno v:
Applied Sciences, Vol 12, Iss 5, p 2570 (2022)
Weeds are found on every cropland across the world. Weeds compete for light, water, and nutrients with attractive plants, introduce illnesses or viruses, and attract harmful insects and pests, resulting in yield loss. New weed detection technologies
Externí odkaz:
https://doaj.org/article/239319617e434b399da1cc4412d9b7cd
Autor:
Nur Adibah Mohidem, Nik Norasma Che’Ya, Abdul Shukor Juraimi, Wan Fazilah Fazlil Ilahi, Muhammad Huzaifah Mohd Roslim, Nursyazyla Sulaiman, Mohammadmehdi Saberioon, Nisfariza Mohd Noor
Publikováno v:
Agriculture, Vol 11, Iss 10, p 1004 (2021)
Weeds are among the most harmful abiotic factors in agriculture, triggering significant yield loss worldwide. Remote sensing can detect and map the presence of weeds in various spectral, spatial, and temporal resolutions. This review aims to show the
Externí odkaz:
https://doaj.org/article/084f812dbe2c4540bc88efdce241e042
Autor:
Muhammad Huzaifah Mohd Roslim, Abdul Shukor Juraimi, Nik Norasma Che’Ya, Nursyazyla Sulaiman, Muhammad Noor Hazwan Abd Manaf, Zaid Ramli, Mst. Motmainna
Publikováno v:
Agronomy, Vol 11, Iss 9, p 1809 (2021)
Weeds are unwanted plants that can reduce crop yields by competing for water, nutrients, light, space, and carbon dioxide, which need to be controlled to meet future food production requirements. The integration of drones, artificial intelligence, an
Externí odkaz:
https://doaj.org/article/dde86dc400be44b58439783e7dba19ef
Autor:
Mohd Razi Ismail, Nursyazyla Sulaiman, Nor Athirah Roslin, Lutfi Amir Nor Alahyadi, Nik Norasma Che'ya
Publikováno v:
Pertanika Journal of Science and Technology. 29
Weed infestation happens when there is intense competition between rice and weeds for light, nutrients and water. These conditions need to be monitored and controlled to lower the growth of weeds as they affected crops production. The characteristics
Autor:
Nik Norasma Che'ya, Zaid Ramli, Muhammad Huzaifah Mohd Roslim, Nursyazyla Sulaiman, Mst. Motmainna, Muhammad Noor Hazwan Abd Manaf, Abdul Shukor Juraimi
Publikováno v:
Agronomy, Vol 11, Iss 1809, p 1809 (2021)
Weeds are unwanted plants that can reduce crop yields by competing for water, nutrients, light, space, and carbon dioxide, which need to be controlled to meet future food production requirements. The integration of drones, artificial intelligence, an
Autor:
Muhammad Huzaifah Mohd Roslim, Nisfariza Mohd Noor, Nur Adibah Mohidem, Wan Fazilah Fazlil Ilahi, Nursyazyla Sulaiman, Nik Norasma Che'ya, Abdul Shukor Juraimi, Mohammadmehdi Saberioon
Publikováno v:
Agriculture, Vol 11, Iss 1004, p 1004 (2021)
Agriculture
Agriculture
Weeds are among the most harmful abiotic factors in agriculture, triggering significant yield loss worldwide. Remote sensing can detect and map the presence of weeds in various spectral, spatial, and temporal resolutions. This review aims to show the