| Issue |
E3S Web Conf.
Volume 306, 2021
The First International Conference on Assessment and Development of Agricultural Innovation (1st ICADAI 2021)
|
|
|---|---|---|
| Article Number | 02028 | |
| Number of page(s) | 10 | |
| Section | Agricultural Social Economics and Policy | |
| DOI | https://doi.org/10.1051/e3sconf/202130602028 | |
| Published online | 24 September 2021 | |
Farmer’s perception on climate-related disasters and their impacts to support food farming
1 Indonesian Agroclimate and Hydrology Research Institute, Jl. Tentara Pelajar No 1A Cimanggu Bogor, West Java, Indonesia
2 Indonesian Center for Agricultural Socio Economic and Policy Studies, Jl. Tentara Pelajar 3B Bogor, West Java, Indonesia
* Corresponding author: yrf_yudi@yahoo.com
Changes and extreme climate events have an impact on and cause vulnerability to the food crop sub-sector. Extreme climatic events that have a significant impact on food farming are floods, drought, and pest/disease. The purpose of this study was to determine farmers’ perceptions of climate-related disasters and their impacts to support food farming. The survey and interviews were conducted in Leles Sub-District, Garut Regency in 2019, with the number of respondents was 28 people, were selected randomly. The results of the analysis showed that the climate-related disasters that occurred were pest/disease (43%), drought (18%) and floods (11%). The impact of extreme climates at the study site was a reduction in yields ranging from 5% to crop failure (puso). According to farmers, climate-related disasters occur as a result of weather factors, broken channels/embankments, excessive upstream water, closed drains, poor drainage and uneven water allocation to each land. The handling of this climate-related disaster by farmers was still limited. Farmers' perceptions, understanding and abilities in managing and anticipating climate disasters are needed in order to reduce the risk of food farming.
© 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.
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