Predicting soil organic carbon with ensemble learning techniques by using satellite images for precision farming
Abstract Soil plays a major role in the agricultural system. Soil composition detection can help farmers to take appropriate decision leading to proper crop growth. Soil organic carbon is crucial for many soil activities and ecological characteristics, is at the centre of sustainable agriculture. Th...
Saved in:
| Main Authors: | Shyamal Mundada, Pooja Jain |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-09804-3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prediction of soil chemical properties using multispectral satellite images and wavelet transforms methods
by: Chaitanya B. Pande, et al.
Published: (2022-01-01) -
Strategy of satellite monitoring of organic carbon content in arable soil horizons in Russia
by: I. Yu. Savin, et al.
Published: (2025-07-01) -
Differential impacts of organic and chemical fertilization on soil organic carbon pools and stability, and soil quality in cacao agroforestry
by: Joseph Osafo Eduah, et al.
Published: (2025-07-01) -
Integrating satellite radar vegetation indices and environmental descriptors with visible-infrared soil spectroscopy improved organic carbon prediction in soils of semi-arid Brazil
by: Erli Pinto dos Santos, et al.
Published: (2025-05-01) -
Soil respiration characteristics of different fertilization types in peach farms in Beijing suburb
by: WANG Yan-ping, et al.
Published: (2009-01-01)