# WSN-Driven Advances in Soil Moisture Estimation: A Machine Learning Approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/wsn-driven-advances-in-soil-moisture-estimation-a-machine-learning-approach/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tinku Singh,Majid Kundroo,Taehong Kim |
| Citations | 25 |
| DOI | 10.3390/electronics13081590 |
| Fields | Earth and Planetary Sciences,Engineering,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2079-9292/13/8/1590/pdf?version=1713775367 |
| OpenAlex ID | https://openalex.org/W4395000872 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Majid Kundroo](https://scholariq.org/researchers/majid-kundroo/)

## Paper journal

- [Electronics](https://scholariq.org/journals/electronics/)

## Paper primary topic

- [Soil Moisture and Remote Sensing](https://scholariq.org/topics/soil-moisture-and-remote-sensing/)

## Paper topics

- [Soil Moisture and Remote Sensing](https://scholariq.org/topics/soil-moisture-and-remote-sensing/)
- [Geophysical Methods and Applications](https://scholariq.org/topics/geophysical-methods-and-applications/)
- [Precipitation Measurement and Analysis](https://scholariq.org/topics/precipitation-measurement-and-analysis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.