Dimitris Zermas

Dimitris Zermas, principal scientist at Sentera, shares insights on leveraging machine learning for precision agriculture. He discusses innovative tools like drones and cameras that enhance crop management. The conversation delves into challenges with plant counting and data imbalance, while also unveiling the power of zero-shot learning for efficient data use. Dimitris emphasizes a data-centric approach, detailing how strategic data selection can significantly reduce annotation time and costs, reshaping approaches in agricultural technology.