Study of the Symptoms and Distribution Pattern Detection of Ring Spot Disease (Leptosphaeria sp.) on Sugarcane Plants Using Aerial Images

DOI

10.2991/978-94-6463-451-8_23How to use a DOI?

Keywords

Geostatistics; Sugarcane; Ring spot disease; UAV

Abstract

Productivity of sugarcane (Saccharum officinarum) is influenced by various factors, one of which is ring spot disease caused by the fungus Leptosphaeria sacchari. Therefore, it is necessary to make efforts to suppress plant damage through Integrated Plant Disease Control so that proper monitoring information is needed. Unmanned Aerial Vehicle (UAV) in recent years has supported increased accuracy and monitoring efficiency through aerial monitoring in agriculture. This study aims to examine the application of UAV in detecting symptoms and distribution patterns of ring spot disease in sugarcane through aerial imagery analysis (aerial monitoring) and compared to conventional monitoring (ground monitoring). This research was conducted in smallholder sugarcane plantations in Sukodono Sub-District, Sidoarjo District, East Java Province, Indonesia from January to March 2023. This research was carried out using a survey method according to disease targets using two types of observations consisting of conventional observation (ground monitoring) and observation using drones (aerial monitoring). Based on the analysis of aerial image data and the results of ground monitoring observations using a geostatistical approach, it was found that aerial imagery has the potential to be used in detecting symptoms and distribution patterns of ring spot disease with an accuracy of 63±68% detection of aerial images using a correlation regression test. The results of aerial image analysis and ground monitoring shows that the distribution of ring spot disease tends to aggregate. Monitoring based on aerial imagery from drones or UAVs technically has advantages including: shorter detection time, easier to do, and being able to reach areas that are not detected by conventional observations.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - A. D. Indrawan
AU  - H. Nirwanto
AU  - W. Windriyanti
AU  - W. W. Jati
PY  - 2024
DA  - 2024/07/14
TI  - Study of the Symptoms and Distribution Pattern Detection of Ring Spot Disease (Leptosphaeria sp.) on Sugarcane Plants Using Aerial Images
BT  - Proceedings of the 8th International Conference of Food, Agriculture and Natural Resource & the Second International Conference of Sustainable Industrial Agriculture (IC-FANRES-IC-SIA 2023)
PB  - Atlantis Press
SP  - 255
EP  - 269
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-451-8_23
DO  - 10.2991/978-94-6463-451-8_23
ID  - Indrawan2024
ER  -