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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Simantec Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Best : Journal of Applied Electrical, Science and Technology Jurnal Polimesin
Sudianto, Achmad Imam
Universitas Trunojoyo Madura
Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mechanical Engineering Physics

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Journal : Jurnal Simantec

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Application of digital image processing to the measurement of Leaf Area Index (LAI) of rice plants (Oryza Sativa L.) Sudianto, Achmad Imam; Husna, Arifah
Jurnal Simantec Vol 13, No 2 (2025): Jurnal Simantec Juni 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i2.30151

Abstract

Indonesia's main staple food, rice, is by far the largest commodity. In improving food security through the productivity of this local staple crop, care is needed from planting to harvesting. One of the physiological parameters that can determine biomass production and photosynthesis in rice is the leaf. We can measure this part of the plant through various methods ranging from conventional techniques to computer image processing techniques such as canny edge detection and ImageJ software. Through the comparison of these two methods, it is found that canny edge detection has a smaller average error value when compared to ImageJ, which is 3.76% and 4.53% respectively. With this final value, it is proven that canny edge detection can be an alternative technique to measure the value of LAI (Leaf Area Index) in rice plants.Keywords: Canny, ImageJ, Image Processing, Leaf Width, Rice
Co-Authors Aeri Rachmad Ahmad Sahru Romadhon Baehaqi Dafid, Ach Eka Mala Sari Faikul Umam Firmansyah Adiputra Hairil Budiarto Husna, Arifah Ibnu Irawan Ika Oktavia Suzanti Izzuddin Muhammad Aziz Muslim Sigit Susanto Putro Sitepu Debora , Ribka Thinakaran, Rajermani Wildan Surya Wijaya