Ease of data collection, mapping and aerial reporting: Soil fertility is more accurately managed with information from artificial intelligence for sustainable agricultural operations.
Artificial intelligence algorithms, analytics and cloud computing: The data captured by these technologies is translated into quick commands to manage automated systems. Thus, agricultural practices can also be organized remotely.

Robotics, drones and autonomous machines: AI-based commands are used for harvesting and irrigation, and agricultural operations are completed in less time with less energy.

Traceable blockchain-based supply chain: The technology enables secure and immutable storage of data collected at the beginning of the supply chain, such as pesticide residues in grains and vegetables. This information can be checked and verified in the product supply chain.

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