A.I. in Agriculture
A Project for Cefetra Environmental Solutions
In recent years, self-learning algorithms have become increasingly common, including in agriculture. For Cefetra, my team and I were tasked with applying machine learning and natural language processing to predict trends related to new European Environmental Policies.
Conclusion:
Although the initial focus was on self-learning algorithms, we found that Cefetra’s more pressing need was an efficient interface for documenting trend analysis. The main challenge was aligning with their needs and convincing them that a redesigned user interface with AI as a supporting tool would offer greater value.





