Minas Gerais will start using its blockchain for government services

Minas Gerais will track charcoal with blockchain: Pixabay

The state of Minas Gerais (MG) is launching the first nodes of its blockchain network for government services. The use of the network will be for asset registration and traceability, data sharing and digital identity. According to the government, the objective is for state agencies and entities to be us.

The first system that will use the network is MG Florestas. The project foresees the tracking blockchain of the origin, transport and consumption of charcoal. The first module of the platform went into operation in August and refers to the registration of cultivation.

MG Florestas is from State Forest Institute (IEF), Department of Environment (Semad), State Secretariat for Planning and Management (Seplag) and the Information Technology Company of Minas Gerais (Prodemge). Charcoal tracking work began in 2019, when Prodemge ran a proof of concept (POC) using blockchain and concluded that the result was positive.

The blockchain of Minas Gerais is in Prodemge’s data center. According to the company’s CEO, Roberto Reis, Prodemge is encouraging and supporting the development of technology in other bodies to make the network grow.

Minas Gerais is on the BNDES blockchain

In a statement, the government said that the network is “infrastructure developed on a mature and consolidated platform in the market. It supports the logical segmentation of data, which allows the same network to be used by different systems and applications”. But, it informed which blockchain platform it is using.

In addition to the blockchain project with MG Florestas, Prodemge is one of the nodes of the Blockchain Brazil Network (RBB) of the National Bank for Economic and Social Development (BNDES).

RBB is a licensed public network that uses Hyperledeger Besu. Although it uses the nodes of the projeto latch, the nodes are basically national. Other institutions in the network include, for example, the National Research and Education Network (RNP), CPQD and Dataprev.

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