The growth of the Indonesian population has led to an increase in the demand for rice, which the country has yet to satisfy. Indonesia needs a comprehensive strategy that integrates meaningful efforts to increase its agricultural production. This study aims to review the examined trends in rice yield in Indonesia for 70 years after Indonesia’s independence (1945–2016) followed by the identification of the application technology and factors that contribute to increasing rice yields to forecast sustainable food security scenarios up to 2030. This article reviews the results of research on rice production technology in Indonesia from 1945 to 2016, and the outlook for 2030. This paper examines the main points of the Indonesian transformation of rice technology: improvement of rice varieties, integrated crop management, innovations in agricultural machinery, and the Integrated Cropping Calendar Information System (ICCIS). We found that transformation has helped Indonesia increased its rice yields from 3 t ha−1 prior to 1961 to 4.6 t ha−1 in 1985, stagnated in 1990, and increased again in 2017 to 5.46 t ha−1. The increase in yield was sustained by an increase in the harvested area owing to cropping index (CI) innovation. Food security and sustainable development remain the primary goals of Indonesia’s agricultural sector. The application of appropriate technologies and institutional innovations can assist Indonesia in achieving its food security. Therefore, the transformation of technological innovations will continue to be an essential driver of future agricultural growth, including greater use of crop varieties, machinery, and land/institutional reforms.
In the future, Indonesia will become increasingly dependent on dryland agriculture. New adaptive technology innovations able to transform drylands into arable land throughout almost the entire year have been developed to anticipate global climate change in tropical areas. This article reviews the results of research on the importance of climate and water management technology to increase the crop index and productivity in Indonesia. We found that irrigation treatment at 80% of the FAO-recommended rate resulted in the highest maize stover yield (around 13.65–14.10 t h−1). Irrigation treatment at 60% of the FAO-recommended rate for soybeans (at 0.24 L s−1 h−1) produced good-quality soybean seeds. The use of existing water resources can increase the planted area from 1.25 to 1.67 and increase the cropping index during the second planting season in the same area. Agricultural systems based on water management can improve their crop index and productivity, and anticipate climate change to increase farmers’ incomes and wellbeing. Support measures in the form of regulations, legislation, acts, programmes, and policies from central and local governments for land use and management are crucial. The development of infrastructure by establishing water management institutions at the village/farmers’ group levels to allocate irrigation water is a leverage point to develop dryland agricultural systems appropriately and judiciously to assist in sustainable development.
As a result of plans to relocate the Indonesian capital city to East Kalimantan province, Kalimantan is expected to develop rapidly and the surrounding regencies and provinces will become food support areas for the new capital. However, the vulnerability of food farming in Kalimantan is a concern that must be addressed to ensure food security. This study aims to assess the vulnerability of food farming at the regency level of the island of Kalimantan, to assess the determinant factors of the food farming vulnerability and to compose adaptation measures that can reduce vulnerability. Socio economic, climate, water and land data are sorted and analyzed to represent the level of sensitivity and exposure index (SEI) and adaptive capacity index (ACI). Locations with ‘High’ and ‘Very High’ levels of farming vulnerability become interview sites with a total of 150 respondents. The results of the interviews strengthen the results of the vulnerability analysis which helps to determine the condition of farmers and food farming in vulnerable locations. The results indicated ‘Very High’ and ‘High’ level of vulnerability in 14 regencies/cities. Floods are climate-related disasters that most often affect farmers surveyed (46%), followed by droughts (30%) and pest attacks (24%) with significant impacts (49%). The identification of the determinant factors becomes the basis for adaptive measures to support decision-makers, local practitioners, and farmers by highlighting local challenges and proposing local-specific adaptation strategies.