Proceedings of the 2nd International Conference on Smart and Innovative Agriculture (ICoSIA 2021)

Classification of Climate and Land Suitability of Rice in East Sumba Regency, East Nusa Tenggara

Authors
Kirana Sila Trisna Mukti1, *, Bayu Dwi Apri Nugroho2, Rizki Maftukhah2, 3
1Undergraduate student of Department of Agricultural and Biosystem, Faculty of Agricultural Technology, Universitas Gadjah Mada, Indonesia
2Department of Agricultural and Biosystem, Faculty of Agricultural Technology, Universitas Gadjah Mada, Indonesia
3Institute of Soil Research, Department of Forest and Soil Sciences, University of Natural Sources and Life Sciences Vienna, Austria
*Corresponding author. Email: kiranasila99@mail.ugm.ac.id
Corresponding Author
Kirana Sila Trisna Mukti
Available Online 10 March 2022.
DOI
10.2991/absr.k.220305.018How to use a DOI?
Keywords
Climate; Land suitability; Water demand; Mohr; Scmidth-Ferguso
Abstract

East Sumba Regency is an dry climate area, which has an impact on water availability, especially for agricultural production. Additionally, this area has a large area of land that can be optimize for productive agricultural areas. Several factors that affect productive land are climate, land management, and water availability. Climate classification can represent the right time for cultivation according to the availability of water. The aims of this research are to determine climate classification in East Sumba Regency. Further, land suitability for rice and planting season were determined. Mohr and Scmidth – Ferguson methods were used in this study to determine climate classification. While calculation of water demand war carried out using the Van de Goor and Ziljsha methods, depend on a constant rate in lt/sc/ha during the land preparation period. Meanwhile, some parameters such as organic matter, N total, climate criteria, water availability, topography, and soil fertility were collected to determine land suitability for rice production. Crop water requirement (CWR) of rice was calculated by using CROPWAT. According to Mohr’s method, The East Sumba Regency included in V climate type with 4-5 months of what months and 6-7 months of dry months. While Scmidth – Ferguson method resulted that this area has type E (slightly dry) which has a Q value ranging from 100 – 167. Land suitability analysis had several components that need Analysis of land criteria based on physical conditions in the field, including the average temperature (℃) around 24.1 – 29.1, rainfall (mm/month) 0 – 262, humidity (%) 69 – 87, texture class slightly fine to fine, soil CEC (cmol/kg) 12.58 - 15.09, pH H2O 7.06 - 7.18, C-Organic (%) 2.53 - 2.84, moderate total N, slope < 3, moderate landslide hazard very light. Based on these values, Sumba Regency is categorized as S1 (very suitable) for rice production. These results of this study are expected to increase rice productivity in terms of the technology used, climate and climatology analysis, determination of land suitability, and rice planting period.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 2nd International Conference on Smart and Innovative Agriculture (ICoSIA 2021)
Series
Advances in Biological Sciences Research
Publication Date
10 March 2022
ISBN
10.2991/absr.k.220305.018
ISSN
2468-5747
DOI
10.2991/absr.k.220305.018How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Kirana Sila Trisna Mukti
AU  - Bayu Dwi Apri Nugroho
AU  - Rizki Maftukhah
PY  - 2022
DA  - 2022/03/10
TI  - Classification of Climate and Land Suitability of Rice in East Sumba Regency, East Nusa Tenggara
BT  - Proceedings of the 2nd International Conference on Smart and Innovative Agriculture (ICoSIA 2021)
PB  - Atlantis Press
SP  - 122
EP  - 129
SN  - 2468-5747
UR  - https://doi.org/10.2991/absr.k.220305.018
DO  - 10.2991/absr.k.220305.018
ID  - Mukti2022
ER  -