Artificial intelligence is already making strong strides in Argentine agriculture

Agronomy in Code One of the key references is Marcos Flesia, an agricultural engineer, master in data science, and founder of Rinde Plus, a company that develops its own artificial intelligence solutions applied to agriculture. His focus points to a key aspect of the agricultural business: generating grains based on informed decisions. To this end, Rinde Plus integrates climatic, soil, and management variables into predictive platforms that allow for yield anticipation. "We believe that yield is not magic, it must be built," states Flesia. The work begins in the field, with sample collection and traceability aggregation, to then feed prediction models that reduce uncertainty when making decisions. One of the challenges he identifies is the lack of real-time data availability. "Many producers delete information from their monitors, when in reality that is gold," he points out. This information, which is already in the machines, can be key to anticipating problems or analyzing the ...