Issue |
E3S Web Conf.
Volume 285, 2021
International Conference on Advances in Agrobusiness and Biotechnology Research (ABR 2021)
|
|
---|---|---|
Article Number | 02022 | |
Number of page(s) | 9 | |
Section | Agronomy and Crop Sciences | |
DOI | https://doi.org/10.1051/e3sconf/202128502022 | |
Published online | 06 July 2021 |
Integrated Use of AHP-GIS-Remote sensing predicting potential areas of coffee plants: a case study of buffer zone of Ta Dung Nature park, Vietnam
1
Vietnam - Russia Tropical Central, Cau Giay district, 10000 Ha Noi, Vietnam
2
Le Quy Don Technical University, Bac Tu Liem district, 10000 Ha Noi, Vietnam
3
Vietnam National University of Forestry, Chuong My District, 10000 Ha Noi, Vietnam
4
A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, 119071 Moscow, Russia
* Corresponding author: phamphuong911vh@gmail.com
Ta Dung Nature park is an important ecological region, its buffer zone currently has coffee as the main crop. However, declines in coffee yields result in a relative reduction in spending power by households. This study aimed to assess land potential to proposal the land for coffee cultivation. Sustainable agriculture must nurture healthy ecosystems and support the sustainable management of land and natural resources. An approach based on integrated use of the Analytical Hierarchy ProcessGeographic Information Systems and Remote Sensing (AHP-GIS-RS) developed using 13 environmental sub-factors. Study result showed the land of development of current coffee cultivation have had an effect from the most important criteria is soil type (0.24), followed by land use cover unit (0.17) and irrigation system (0.15). Sub-factors (SF9: rock expose above soil; SF11 : flood status, SF1 2: irrigation system) have the largest “potential” land for coffee plants. Coffee plantation was recommended to orient in 6,82 % total of study area by the possibility of expanding cultivated area. A framework of potential model was provided for other industry crops in other study areas in Vietnam.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.