Early identification of diseases and pests, proper species management, knowledge of soil quality, and the development of identification of native or exotic species are some of the successful cases applied to agricultural productivity.

The use of multispectral images and artificial intelligence data processing allows us to see beyond what the human eye can perceive, predicting trends and highlighting points of attention for optimizing agricultural and forestry production.

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