Open AccessPreliminary Study for identifying Rice Plant Disease Based on Thermal Images
Author(s) -
Maya Silvi Lydia,
Indra Aulia,
Ivan Jaya,
Diana Sofia Hanafiah,
Rizky Hakim Lubis
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1566/1/012016
Subject(s) - rice plant , identification (biology) , plant disease , canopy , agricultural engineering , remote sensing , thermal , computer science , computer vision , environmental science , agronomy , engineering , geography , microbiology and biotechnology , biology , botany , meteorology
Accurate and timely identification of plant disease can help stakeholders and farmers to mitigate losses due to pests and diseases. One of the identification techniques is indirect detection using thermal imaging technology. This technology has been considered a fast way without damaging the profile of a plant. In this paper, we describe the preliminary study of the thermal images gathering, so that the rice plant disease on the leaf canopy can be identified by using a thermal imaging camera.