Satellite Imagery and AI to Improve Paddy Field Management in Indonesia

Satellite Imagery and AI to Improve Paddy Field Management in Indonesia

As part of their collaborative partnership to develop a national satellite data platform system for Indonesia, science education company PASCO and Indonesia’s National Space Agency (LAPAN) are researching the use of satellite data to improve paddy field management. The solution also incorporates artificial intelligence (AI) technology from PASCO for extra efficiency.

LAPAN is developing the regional data node (ReDaNo) system to provide Indonesian and other South East Asian governments with satellite data concerning natural hazards, sea-level rise and illegal maritime activity in near real time. Indonesia is particularly keen to use this system to improve the efficiency and accuracy of data concerning paddy field ownership and taxable land. Over 60% of Indonesian paddy fields are located in mountainous regions. This, combined with inland aquacultures, has made it difficult to manage paddy fields using traditional surveying techniques.

Combining Satellite Imagery and AI Technology

PASCO’s AI technology has already demonstrated significant results in Japan, and the company is now adapting it to the requirements in Indonesia. The utilization of higher-resolution satellite imagery combined with PASCO’s AI technology makes it possible to automatically extract the locations of paddy fields and perform accurate estimations. This application of AI and satellite imagery will enable periodic monitoring of the paddy fields.

The results of the current research will be utilized in updating Indonesian paddy field maps, planning waterways and performing paddy field management more efficiently.

Paddy fields (left) and aquaculture in Indonesia (right).

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