BIO Web of Conferences (Jan 2024)

The Use of Sentinel-2 Vegetation Indices Imagery in Detecting the Effect of Plant Distance to the Productivity of Corn Crops

  • Wahyuni Sri,
  • Haerani Haerani,
  • Mursalim Mursalim,
  • Azizan Fathin Ayuni

DOI
https://doi.org/10.1051/bioconf/20249605001
Journal volume & issue
Vol. 96
p. 05001

Abstract

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There are several variations in planting distance used for corn plants, including 70×40 cm, 70×20 cm, and irregular. This affects the productivity of corn plants because of competition between corn plants. Satellite imagery, such as Sentinel-2 imagery, can be used to observe this effect. This research aimed to determine the effectiveness of Sentinel-2 satellite imagery in detecting the effect of plant distance on corn plant productivity. This research used Modified Red-edge Simple Ratio (mRE-SR) Vegetation Index imagery from Sentinel-2 imagery. The three plant distances used were 70×40 cm, 70×20 cm, and irregular. The images used corresponded to the corn planting times at research location, i.e. 10 and 20 December 2022, 14 January 2023, 28 February 2023 and 15 March 2023. Linear regression analysis was carried out to test the correlation between corn plant productivity of each plant distance and the mRE-SR Vegetation Index image. The results of this research indicated that the effect of plant distance on corn plant productivity can be studied using mRE-SR Sentinel-2 imagery.