Spatio-temporal analysis of agroforestry systems in hotan using multi-source remote sensing and deep learning
In the Hotan region of Xinjiang, where arable land is scarce, an agroforestry system integrating walnut trees with crops has been implemented to maximize land-use efficiency. While this dense planting enhances land use, it also limits the availability of light to the understory crops, potentially im...
Saved in:
| Main Authors: | Wenqi Kou, Zhanfeng Shen, Yihan Zhang, Haoyu Wang, Pengfei Ji, Lan Huang, Chi Zhang, Yubo Ma |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375524002466 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Integrating Random Forest With Boundary Enhancement for Mapping Crop Planting Structure at the Parcel Level From Remote Sensing Images
by: Junyang Xie, et al.
Published: (2025-01-01) -
AAMS-YOLO: enhanced farmland parcel detection for high-resolution remote sensing images
by: Binyao Wang, et al.
Published: (2024-12-01) -
An Introduction to Agroforestry : four decades of scientific development /
by: Nair, P.K Ramachandran
Published: (2021) -
Cacao Agroforestry in Mahakam Ulu: Transformation Strategy from Traditional to Good Agricultural Practices and Smart Agroforestry System
by: Catur Budi Wiati, et al.
Published: (2025-06-01) -
Variations in carbon stocks across traditional and improved agroforestry in reference to agroforestry and households’ characteristics in Southeastern Ethiopia
by: Boja Tilinti, et al.
Published: (2025-01-01)