Work

Prediction of Oil Palm Plantation Block Productivity Based On Canopy Area And Vegetation Index Using Multispectral Aerial Photographs

Year: 2024

Type: article

Abstract: The demands of productivity and efficiency of oil palm plantations can be met by implementing Precision Farming (PF), where production analysis is carried out on a narrower area. Currently, yield evaluation or harvest results are carried out based on block area (25-100 Ha). The diverse information in one block is standardized, potentially eliminating detailed information that is useful for management. This study aims to develop an empirical estimation model of oil palm plantation productivity per harvest day through the canopy area approach and oil palm vegetation index with multispectral camera technology. The oil palm productivity estimation method is carried out by comparing the processing results using the Normalized Difference Vegetation Index and Atmospherically Resistant Vegetation Index transformation algorithms. The basis for estimation is per Harvesting Collection Point, namely an area of ± 0.3 ha. The results showed: 1) NDVI, NDRE are strongly and very strongly correlated with FFB production; 2) canopy area has a strong relationship to FFB production; 3) NDVI vegetation index values are strongly correlated with FFB production. The productivity estimation equation from NDRE value: y = 3621.9x – 1153.8, the productivity estimation equation based on canopy area: y = 0.5479x – 717.08, and the productivity estimation equation based on NDVI: y = 11.639x – 9709.2

Source: Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering)

DOI: 10.23960/jtep-l.v13i4.1216-1225

Authors: Tri Haryo Sagoro, Andreas Wahyu Krisdiarto, Hermantoro Hermantoro

Institution: Institut Pertanian Stiper

Language: English

Topic: Remote Sensing in Agriculture

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: gold

Estimated APC paid: $26