Identification of holes in plastic mulch based on UAV multispectral image using template matching algorithm

MABBI – Research conducted by Abdul Aziz, Yandra Arkeman, Wisnu Ananta Kusuma, Farohaji Kurniawan, Gunawan Setyo Prabowo, Adi Wirawan, Lidia Pandjaitan, Try Kusuma Wardana, Yanuar Firmansyah and Bambang H Trisasongko from National Research and Innovation Agency and IPB University entitled Identification of holes in plastic mulch based on UAV multispectral image using template matching algorithm.
Mulch is a ground cover material used to keep soil moisture and temperature stable as a plant medium. Mulch also helps to prevent weed growth, which promotes plant growth. Farmers must make holes in the mulch the day before planting when using plastic mulch, so the context of this research is to be able to identify holes in the mulch using Unmanned Aerial Vehicle (UAV) images. The benefit of this study is that it can track each plant based on the number of mulch holes identified, and the number of holes identified can be used as a parameter to estimate the amount of harvested production. The Template Matching (TM) algorithm was used to identify the holes in the mulch, with the research taking place in the food court of Humbang Hasundutan Regency. The orthographic images from aerial photographs were used as the data. Three orthophoto research areas were selected to serve as samples for this study. The average generated accuracy is 86%. Many commission errors were discovered in this study, particularly in rocky areas. Meanwhile, the omission error is discovered in holes that have been damaged or covered by leaves
Read More: https://doi.org/10.1063/5.0181351