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All Journal AGRIKA MAPETA Plumula : Berkala Ilmiah Agroteknologi AGRIVITA, Journal of Agricultural Science Jurnal Penelitian Pertanian Terapan International Journal of Applied Biology BIOEDUSCIENCE JURNAL AGROHITA Agrotechnology Research Journal Agro Bali: Agricultural Journal Agrienvi : Jurnal Ilmu Pertanian Jurnal Agrotropika Biofarm : Jurnal Ilmiah Pertanian Jurnal Agrinika : Jurnal Agroteknologi dan Agribisnis Nusantara Science and Technology Proceedings Agroradix : Jurnal Ilmu Pertanian Journal of Applied Agricultural Science and Technology Jurnal Bioteknologi & Biosains Indonesia (JBBI) Jurnal Bioteknologi & Biosains Indonesia
Herry Nirwanto
Program Studi Agroteknologi, Fakultas Pertanian, UPN “Veteran” Jawa Timur
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Other

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Journal : BIOEDUSCIENCE

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Early Detection of Pathogenic Fungi Curvularia sp. on Rice Seeds (Oryza sativa) Based on Modified Infrared Image Analysis Anggraini, Novita; Nirwanto, Herry; Mujoko, Tri
BIOEDUSCIENCE Vol 9 No 3 (2025): BIOEDUSCIENCE
Publisher : Universitas Muhammadiyah Prof. Dr. Hamka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jbes/17568

Abstract

Background: Curvularia sp. is a seed-borne pathogenic fungus that can reduce rice plant productivity. At the same time, conventional seed health testing methods still rely on visual observation and require a relatively long incubation time. This study aims to evaluate the potential of infrared image analysis based on a modified imaging system for early detection of Curvularia sp. infection in rice seeds. Methods: Seed health testing was performed using the blotter test method. At the same time, image acquisition was performed with a digital microscope equipped with an infrared light source, and images were analyzed using pseudocoloring and RGB-based color segmentation. Results: The results showed differences in infrared signal intensity patterns in Curvularia sp.-inoculated seeds, which could be identified on the fourth day after inoculation, earlier than visual observation, which showed symptoms on the fifth day. Detection accuracy was calculated using a confusion matrix based on visual observation as the reference method, with a sample size of 50 seeds per observation day, yielding an average detection accuracy of 91% over seven days of observation. Conclusions: The modified infrared image analysis method has the potential to serve as an early detection method for Curvularia sp. infection in rice seeds, although its performance depends on the limitations of the imaging system and the validation method used.
Co-Authors Alfa, Maria Rodhya Arika Purnawati Arika Purnawati Danendra Akbar Rakha Endang Triwahyu Prasetyawati Fatimah Nabila Zahra Febiola, Regina Rosari Haikal, M Rifqi Hamid, Abdul Ika Rochdjatun Sastrahidayat Khansa Amara Latief Imanadi Lius, Michelle M Rifqi Haikal Maria Rodhya Alfa Nabila Alysia Multazam Nindias O. Wulandari Nindias Oktavia Wulandari Nisa, Isnaini Lailatun Noni Rahmadhini Novita Anggraini Paramitha Pasaribu Prasetyawati, Endang Triwahyu Prasetyo, Dandy Putra, Dandi Rahmansyah Ramadhini, Noni Rani, Sasiska Rizky Nur Affandy Sarah Hikmah Marieska Sarah Hikmah Marieska Sasiska Rani Sasiska Rani Septikahady, Hani Sri Wiyatiningsih Sutikno Sutikno Taufik Hidayat Tri MUJOKO Umam, Amirul USWATUN HASANAH Widajati, Wiludjeng Windriyanti, Wiwin Wiwik Harjani Wiwik Sri Harijani Wiwik Sri Harijani Wiwin Windriyanti Yenny WURYANDARI