Abstract

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.

Details

Title
The Use of Sentinel-2 Vegetation Indices Imagery in Detecting the Effect of Plant Distance to the Productivity of Corn Crops
Author
Wahyuni, Sri; Haerani, Haerani; Mursalim, Mursalim; Azizan, Fathin Ayuni
Section
Geospacial Technologies in Agriculture
Publication year
2024
Publication date
2024
Publisher
EDP Sciences
ISSN
22731709
e-ISSN
21174458
Source type
Conference Paper
Language of publication
English
ProQuest document ID
3187552279
Copyright
© 2024. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License.