Indonesian Farmers go Blockchain with Hara and SingularityNET

Indonesian Farmers go Blockchain with Hara and SingularityNET

Netherlands based artificial intelligence company SingularityNET and Singapore agriculture firm HARA announced a joint venture to bring Blockchain to farmers in Indonesia according to press releases published by both companies.

The venture will provide Indonesian farmers with a blockchain powered platform to get more accurate and efficient data about grain price, land ownership, soil quality, and so on.

“In Indonesia,” Arif Khan, SingularityNET VP Of Marketing and Partnerships, says, “family-owned farms represent the core of the country’s economy, but that is not reflected in the distribution of wealth. This partnership will help change that, and as a native of the ASEAN region, we could not be prouder to see a leading player like HARA tackle this challenge head-on.”

According to the press release published by HARA, SingularityNET will help HARA to speed up the development of solutions that will increase life quality to farmers. “We look forward to working together and create a real social impact for the people that need it most!”

On the other hand, SingulatiryNET calls the agreement “new solution to an old problem,” the absence of data in impactful sectors.

SingularityNET highlights that “Indonesia is a country heavily centered around its agriculture and rice farming in particular. Communities are built around the agricultural activity of the country, and small family-owned farms constitute the lungs of the country’s economy.”

“The distribution of wealth, however,” continues the press release, “reaches the country’s farmers only to provide a bare minimum of the wealth they contribute to.”

The project aims to create avenues and bridges of data interaction between individuals and larger markets, including vendors and consumers.

Both companies are focused on the democratisation of the access to efficient AI tools and quality data.

“The result of which will be to grant access to large swaths of primary data, refined data, and near real-time data. This variety in the first-hand distribution of data will be invaluable to machine learning and will allow our team, and actors within the SingularityNET ecosystem, to access high quality and volumes of information that fine-tune their AI systems.”

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