Open AccessEnvironmental engineering and sustainability for smart agriculture: The application of UAV-based remote sensing to detect biodiversity in oil palm plantations
Author(s) -
A. Moreno,
A. Bhattacharyya,
Leo Jansen,
Yandra Arkeman,
Ronny Hartanto,
Matthias Kleinke
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/335/1/012008
Subject(s) - sustainability , biodiversity , agriculture , normalized difference vegetation index , agroforestry , palm oil , vegetation (pathology) , sustainable development , vegetation index , environmental science , elaeis guineensis , remote sensing , environmental resource management , business , geography , ecology , climate change , archaeology , biology , medicine , pathology
The United Nations strongly support the progress towards sustainable agriculture, food security, sustainable management of life on land in a simultaneous approach. Oil production, though on increasing demand, is causing severe loss of biodiversity in tropical areas, Indonesia being the country with the most environmental damage due to this crop. Geographical Information Systems (GIS) and Unmanned Aerial Vehicles (UAVs) for base-remote sensing are promising tools to help with environmental conservation in oil palm plantations and to improve production efficiency and quality of crops. While different UAVs exist in the market, multi-rotor UAVs have already been used for oil palm plantation monitoring. There are more than 100 different Vegetation Indices (VIs); the Normalized Difference Vegetation Index (NDVI) is often used in smart agriculture. Still, there is a huge need for algorithms that assess floristic diversity. To maintain some elements of the Indonesian biodiversity within oil palm plantations, experimentation with algorithms were carried out. The imagery shows great potential for future research.