Abstract
This study aims to develop a plant health monitoring platform using Google Earth Engine and Sentinel-2 satellite imagery. This platform enables real-time and accurate monitoring of plant conditions in Ponorogo Regency, supporting better decision-making in agricultural management. The platform utilizes high-resolution multispectral data such as the NDVI, Chlorophyll Vegetation Index, and Normalized Difference Built-up Index to generate vegetation indices, providing comprehensive information about plant structure and condition. The Google Earth Engine platform offers a robust platform for monitoring and analysis functions within the platform, providing valuable insights for precision agriculture applications.
| Original language | English |
|---|---|
| Article number | 012054 |
| Journal | IOP Conference Series: Earth and Environmental Science |
| Volume | 1418 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 9th Geomatics International Conference 2024, GeoICON 2024 - Surabaya, Indonesia Duration: 24 Jul 2024 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 2 Zero Hunger
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