Abstract

Crucial issues in rice fields production in Indonesia are narrow planting areas, small farming scale and improper cultivation techniques. The Indonesian government also faced issues and problems regarding fulfilment the need of rice-farm area due to the conversion of intensive rice fields to non-agriculture. Efforts to develop integrated and sustainable rice field agriculture are needed to overcome the threat of rice field reduction, increase the productivity of rice fields, and increase farmers’ income and welfare. The intention of this study was to develop a model of rice field in an integrated and sustainable manner based on Rice Estate Community and Smart Farming (REC-SF). To get easily implemented model, participatory method was used through series of audiences and focus group discussion activities involving the main stakeholders. As a breakthrough for traditional agricultural solutions on narrow land, this model included land consolidation to reach minimum rice field area for profitable economic scale, strengthening institutional system, productivity target along with required cultivation inputs and techniques, support for information technology system, agroindustry, and marketing-selling reinforcement. Developed REC-SF model is expected to be more easily implemented and accepted by the farmers to achieve a collective farm business in a large rice-farm area.

Details

Title
Model development of sustainable wetland rice farming based on rice estate community and smart farming
Author
Rachman, L M 1 ; Saleh, A 2 ; Wetik, J D 3 ; Namuzadi, N 4 ; Ain, A Q 3 

 Department of Soil Science and Land Resource, Faculty of Agriculture, IPB University, Bogor, Indonesia 
 Department of Communication and Community Development Sciences, Faculty of Human Ecology, IPB University, Bogor, Indonesia 
 Research Center for Human Resource Development, IPB University, Bogor, Indonesia 
 Directorate of Food and Agriculture, National Development Planning Agency, Jakarta, Indonesia 
Publication year
2021
Publication date
Feb 2021
Publisher
IOP Publishing
ISSN
17551307
e-ISSN
17551315
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2513056440
Copyright
© 2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.