Analisis Intesitas Serangan Hama Dan Deteksi Pola Sebaran Penggerek Pucuk Tebu Berbasis Citra Drone

Putra, Dandi Rahmansyah (2024) Analisis Intesitas Serangan Hama Dan Deteksi Pola Sebaran Penggerek Pucuk Tebu Berbasis Citra Drone. Undergraduate thesis, UPN Veteran Jawa Timur.

[img]
Preview
Text (COVER)
18025010091.-cover.pdf

Download (1MB) | Preview
[img]
Preview
Text (BAB 1)
18025010091.-bab1.pdf

Download (336kB) | Preview
[img] Text (BAB 2)
18025010091.-bab2.pdf
Restricted to Repository staff only until 10 January 2026.

Download (775kB)
[img] Text (BAB 3)
18025010091.-bab3.pdf
Restricted to Repository staff only until 10 January 2026.

Download (827kB)
[img] Text (BAB 4)
18025010091.-bab4.pdf
Restricted to Repository staff only until 10 January 2026.

Download (1MB)
[img]
Preview
Text (BAB 5)
18025010091.-bab5.pdf

Download (204kB) | Preview
[img]
Preview
Text (DAFTAR PUSTAKA)
18025010091.-daftarpustaka.pdf

Download (358kB) | Preview
[img] Text (LAMPIRAN)
18025010091.-lampiran.pdf
Restricted to Repository staff only until 10 January 2026.

Download (5MB)

Abstract

Abstract The productivity of sugar cane (Saccharum officinarum) is influenced by various factors, one of which is the shoot borer attack caused by (Scirpophaga excerptalis). Therefore, efforts need to be made to reduce plant damage through Integrated Plant Pest Management so that appropriate monitoring information is needed. Unmanned Aerial Vehicles (UAV) in recent years have supported increasing monitoring accuracy and efficiency through aerial monitoring in the agricultural sector. The aim of the research is to examine the application of UAVs in detecting symptoms and attack patterns of shoot boring pests on sugar cane plants through aerial image analysis (aerial monitoring) and compared with conventional monitoring on ground monitoring. This research was carried out in people's sugar cane plantations in Sukodono District, Sidoarjo Regency, East Java Province, Indonesia from February to March 2023. This research was carried out using a survey method according to pest targets using two types of observations, namely conventional observations (ground monitoring) and observation using drones (aerial monitoring). Based on data analysis by comparing aerial images with conventional observation results processed using a geostatistical approach, it was found that aerial images have the potential to detect symptoms and distribution patterns of shoot borer pests. The results of the correlation regression test show that the detection accuracy using aerial imagery is around 63%. The results of observations for 6 weeks showed that the distribution pattern occurred in clusters in the northwestern and eastern parts. Technically, aerial image-based monitoring from drones or UAVs has the advantage of shorter detection times, is easier to carry out, and is able to reach areas that are not detected by conventional observations. Key words: geostatistics, kriging, shoot borer, sugar cane, variogram

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorNirwanto, HerryNIDN0725066204UNSPECIFIED
Thesis advisorRahmadhini, NoniNIDN0018048905UNSPECIFIED
Subjects: S Agriculture > SB Plant culture > SB950-989 Pest Control and Treatment of Diseases, Plant Protection
Divisions: Faculty of Agriculture > Departement of Agritechnology
Depositing User: DANDI RAHMANSYAH PUTRA
Date Deposited: 11 Jan 2024 04:49
Last Modified: 11 Jan 2024 04:49
URI: http://repository.upnjatim.ac.id/id/eprint/19553

Actions (login required)

View Item View Item