KAJIAN DETEKSI GEJALA DAN POLA DISTRIBUSI PENYAKIT NODA CINCIN (Leptosphaeria sp.) PADA TANAMAN TEBU BERBASIS CITRA UDARA MENGGUNAKAN UAV (Unmanned Aerial Vehicle)

Indrawan, Arga Dwi (2023) KAJIAN DETEKSI GEJALA DAN POLA DISTRIBUSI PENYAKIT NODA CINCIN (Leptosphaeria sp.) PADA TANAMAN TEBU BERBASIS CITRA UDARA MENGGUNAKAN UAV (Unmanned Aerial Vehicle). Masters thesis, UPN Veteran Jawa Timur.

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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 show 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.

Item Type: Thesis (Masters)
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorNirwanto, HeryNIDN0725066204herry_n@upnjatim.ac.id
Thesis advisorWindriyanti, WiwinNIDN0716086202wiwin_w@upnjatim.ac.id
Subjects: S Agriculture > S Agriculture (General)
Divisions: Faculty of Agriculture > Magister Agritechnology
Depositing User: Arga Dwi Indrawan
Date Deposited: 26 Jul 2023 02:57
Last Modified: 26 Jul 2023 02:57
URI: http://repository.upnjatim.ac.id/id/eprint/16466

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