| Issue |
E3S Web Conf.
Volume 467, 2023
9TH-ICCC – The 9th International Conference on Climate Change
|
|
|---|---|---|
| Article Number | 01031 | |
| Number of page(s) | 6 | |
| Section | Impact of Depletion or Enhance of a Capability of Resources of Air, Water, Soil, and Vegetation | |
| DOI | https://doi.org/10.1051/e3sconf/202346701031 | |
| Published online | 20 December 2023 | |
The accuracy of soil moisture prediction using an RGB camera on maize and peanut plantation
1 Soil Science Department, Faculty of Agriculture, Universitas Sebelas Maret, Jl. Ir. Sutami 36a Surakarta, Central Java, Indonesia
2 Bachelor Degree of Soil Science Department, Faculty of Agriculture, Universitas Sebelas Maret, Jl. Ir. Sutami 36a Surakarta, Central Java, Indonesia
* Corresponding author: dp_ariyanto@staff.uns.ac.id
Forest observation to use soil moisture meters for monitoring soil moisture are still relatively inefficient if done on very large land because it still relies on relatively much energy and requires a long time. This study aims to determine the accuracy of the use of aerial photographs from the Red-Green-Blue (RGB) camera Drone to estimate soil moisture levels. Aerial photographs were analyzed with the ImageJ application to find digital numbers, and actual soil moisture measurements by the gypsum block method. Soil moisture and digital numbers are then analyzed by regression and correlation. The results show that this method has a low accuracy. However, the comparison between the actual soil moisture and the soil moisture from the prediction doesn’t show a significant difference. The accuracy of the estimation depends on the camera settings and the weather, so further calibration and testing are necessary if used under different conditions.
© The Authors, published by EDP Sciences, 2023
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