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All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Jurnal Ilmu Tanah dan Lingkungan (Journal of Soil Science and Environment) REKA INTEGRA Elementary: Islamic Teacher Journal DIRASAT Jurnal Manajemen & Pendidikan Islam Catharsis AL-IDARAH: JURNAL KEPENDIDIKAN ISLAM SYAMIL: Jurnal Pendidikan Agama Islam (Journal of Islamic Education) JURNAL PENDIDIKAN TAMBUSAI JURNAL CIVIC EDUCATION: MEDIA KAJIAN PANCASILA DAN KEWARGANEGARAAN SITTAH: Journal of Primary Education SYAMIL: JURNAL PENDIDIKAN AGAMA ISLAM (JOURNAL OF ISLAMIC EDUCATION) Cendekiawan: Jurnal Pendidikan dan Studi Keislaman Bunayya: Jurnal Pendidikan Guru Madrasah Ibtidaiyah Murid : Jurnal Pemikiran Mahasiswa Agama Islam Al-Bidayah : jurnal pendidikan dasar Islam Fatih: Journal of Contemporary Research Intelektual: Jurnal Pendidikan dan Studi Keislaman
Wahyu Iskandar
Institut Teknologi Nasional Bandung
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Library & Information Science Mathematics Social Sciences Other

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Application of RGB UAV images to identify spectral patterns and estimate rice production Munibah, Khursatul; Iskandar, Wahyu; Barus, Baba; Hongo , Chiharu
Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Vol. 52 No. 1 (2024): Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy)
Publisher : Indonesia Society of Agronomy (PERAGI) and Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24831/jai.v52i1.50770

Abstract

Monitoring rice plant growth is crucial for evaluating rice field management and yield production. RGB images are generated from Unmanned Aerial Vehicles (UAV) with RGB cameras. UAVs produce high spatial and temporal resolution, while RGB cameras are commonly used and cheap. The objectives of this study were to identify the spectral pattern of rice plant growth and to estimate yield production based on the spectral value of RGB images. The spectral pattern and yield estimation were analyzed using confidence interval (CI) and regression, respectively. Results show that spectral pattern during the vegetative until ripening stage forms a concave with minimum value in the generative stage and decreases towards the harvest stage. Based on the CI value, the high interval between upper and lower happened in the vegetative and ripening stages while the low interval happened in the generative stage. The high CI in the vegetative and ripening stages was due to the soil background and complexity of the rice plant canopy, respectively while the low CI in the generative stage was due to the homogeneous response of the leaf canopy. The best rice yield estimation based on the spectral value occurs in the ripening stage with an R2 of 0.84. Keywords: chlorophyll content, confidence interval, drone images, rice plant, regression
Co-Authors Abdul Hamid Abdul Wahid Alex Saleh Anita Sari Baba Barus Damanik, Emeliya Sukma Dara Damanik, Muhd Hayyanul Daulay, Sholihatul Hamidah Eka Yusnaldi Fatmawati Fatmawati Hendrayanto Hongo , Chiharu Imam Machali Jung, Yoonhwa Khursatul Munibah Lubis, Namiroh Mardiana Mardiana Matvayodha, Gupo Muh. Ibnan Syarif, Muh. Ibnan Muhammad Ardiansyah Muhammad Nizar, Zulkarnaen Muhammad Yusuf Muhammad, Almawardi Putri, Fia Alifah Sabila, Salma Sayed, Sayed Sigit Prasetyo Siregar, Hendri Siregar, Nahrun Najib Solly Aryza Soraya, Arafatul Subaida, Sitti Wadiyo Wadiyo Wandini, Rora Rizky Wati, Ruja Widodo, Hadi Yuniar Yuniar Yusrizal Yusrizal