PENGGUNAAN CITRA WORLDVIEW-2 UNTUK ESTIMASI PRODUKSI KELAPA SAWIT (Elaeis guineensis Jacq.) SEBAGAI IMPLEMENTASI PERTANIAN PRESISI (Studi di Unit Kebun Adolina, PT. Perkebunan Nusantara IV Kabupaten Serdang Berdagai, Propinsi Sumatera Utara)
| Main Author: | WIRATMOKO, DHIMAS |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2015
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/134681/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=77711 |
Daftar Isi:
- Oil palm is being a major of Indonesian estate crop. These yield with environementally factors suitable are needed to success oil palm cultivation. Oil palm yield estimation research that vegetative factors, environmentally factors, and vegetation index (VI) extraction from Worldview-2 imagery integrated was done. This research aims are studying of WV-2 on oil palm identification capability and getting site specific yield estimation from WV-2 vegetation index extraction that correlating VI, vegetative factors, enviromentally factor and oil palm yield, as precision agriculture implementation. The methods that used in this study are VI methods such as NDVI, SAVI, EVI, GNDVI, and CI. VI transformation were integrated with vegetative data, and environmentally data that correlated with yield data used multiple linier regression. Oil palm yield data as dependent factor (Y) and VI, vegetative factors (oil palm age, number of oil palm per ha, LAI), and environmentally factors (% clay, soil fertility index, altitude, water) as independent factors. This research showed that strong correlation with correlation coeficient (r=0.754-0.763) oil palm yield with those factors. The lowest coeficient correlation is EVI (r=0.754). RENDVI and CIRE are the highest correlation that have 0.763 correlation coeficient. Yield estimation that used integrated vegetative, environmentally and WV-2 imagery showed 1361,34-1749,57 kg/ha/month oil palm yield count. This yield estimation have gap 0,70-175,64 kg from real oil palm yield data and have 90,22-99.99% estimation accuration.