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Journal : JOIV : International Journal on Informatics Visualization

UAV-Based Segmentation and Correlation Analysis of Vegetation Indices for Cassava Crop Health Assessment Maryana, Sufiatul; Herdiyeni, Yeni; Wahjuni, Sri; Santosa, Edi
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3078

Abstract

Cassava, an essential staple food with diverse applications, has been relatively underexplored in terms of health analysis using vegetation indices. Conventional field surveys face challenges in covering large areas due to resource constraints. Recent advancements in remote monitoring techniques, such as satellite imagery and Unmanned Aerial Vehicles (UAVs), offer a promising alternative. While satellite imagery enables broad-scale surveys, its limited spatial resolution restricts detailed analyses of individual plants or smaller ecosystems. UAV-based vegetation surveys commonly utilize Vegetation Indices (VI) to assess unique spectral information. This study investigated UAV-based methods for mapping cassava distribution in the Telaga Kahuripan smallholder plantation in Bogor, Indonesia, focusing on UAV imagery, segmentation, and vegetation indices to evaluate cassava plant health at 2, 5, and 8 months of age. The results revealed significant variations in vegetation indices across different cassava plant ages. Particularly, the highest values observed at 5 months of age indicated substantial growth, with NDVI and GNDVI values exhibiting R2 ranging from 0.95 to 0.98, indicating a strong correlation. The robust correlation between NDVI and GNDVI implies that both indices can effectively predict plant health using UAV-based monitoring. Comparisons with existing studies suggest potential variations attributable to factors such as geographical location, environmental conditions, and cultivation practices. Understanding these variations is crucial for refining monitoring techniques and informing agricultural practices. Consequently, the findings have implications for enhancing cassava health monitoring and optimizing agricultural practices to ensure sustainable crop production.
Co-Authors A.A.G. Sudewa Agus Buono Alfiansyah Halomoan Siregar Anisa Nur Halimah Ariq Cahya Wardhana Ariyani Tanti Ashri Rizki Hidayati Auriza Rahmad Akbar Barlianto, Agus Betty Kostradiyanti Budi Indra Setiawan dan Luh Putu Arisanti Edi Santosa Eknanda, Rafael Tektano Grandiawan Eliyah Acantha Manapa Sampetoding Elly Rusdiana, Elly Eny Inayati, Eny Faisyah, Shilvy Arofatul Haqqika Pasha Haris, Abdul Haula Robbi, M. Kautsar Hendra Rahmawan Hendra Rahmawan Hermadi , Irman Hidayat Hidayat Hidayat I M, Sukadana I NYOMAN MANTIK ASTAWA I W. Wita, I W. I Wayan Suirta I Wayan Wita I. A Raka Astiti Asih Ida Bagus Putra Manuaba Iman Rahayu Hidayati Soesanto Irman Hermadi Ishak, Sahrial Ihsani Joko Hermanianto Karlisa Priandana Komara N, Fatthurohman Kudang Boro Seminar Kusdarjanti, Endang Lita Rosa, Mia Laksmi Lokaprasidha, Pramesi Lusiana Tabuni Marimin , Maxiwinata, Maxdha Michel Williams, Michel Ni Ketut Puspa Sari Ni Luh Rustini Ni Made Puspawati Ni Made Puspawati Ni Nyoman Astuti Wulandari Ni Putu Rahayu Artini Nirmala Ratna Harda, Sasadhara Noer Muslimah, Meia Nugroho, Margaretta Andini Nur Halimah, Anisa Oka Ratnayani Putu Yuliantari Rahmadani, Annisa Ratwita, Rr. Dwiyanti Feriana Rebecha Prananta, Rebecha Sanjiwo, Suryo Hamukti Sefy Ayu Mandanie, Sefy Ayu Septianto, Yudhi Setyowati, Okti Shelvie Nidya Neyman Sianiwati Goenharto Sri Rahayu Santi Sri Redjeki Sri Redjeki Indiani, Sri Redjeki Sufiatul Maryana Sujati Sujati Sujati, Sujati Toto Haryanto Wafi, Azmi Sabilakisbatul Wahyu Dwijani Sulihingtyas Wasudewa, K. M. Wibisono, Indra Perdana Willy Bayuardi Suwarno Wulandari Wulandari Yan Mitha Djaksana Yani Nurhadryani Yulianti, Nila Susila Zakiah, Rizqi Alifahasni