Ciampitti lab

I'm Carlos Hernandez, I'm from a small town south of Cordoba, Argentina. I obtained my degree in agronomic engineering at the National University of Río Cuarto. From a very early age, I have been very interested in technology in general, always trying to develop new methods and applications to solve problems. In the past, I was part of various work teams as an advisor on precision agriculture technologies, providing support and assistance to farmers. I also participated as an external consultant in spatial data management platforms and in the development of recommendation algorithms for agriculture. During the last few years, I have learned and reinforced my knowledge about geospatial technologies, and topics such as the use of digital agriculture, data science, and knowledge transfer. Currently, my research is focused on the development of algorithms and data products that can help farmers in the decision-making process. My current projects range from the development of new spatial layers that allow knowing the stability of productivity in spatiotemporal terms to the development of 3D digital phenotyping tools in order to better characterize the root structures of crops. Also, recently I have been working on the development of algorithms that use machine learning and remote sensing data to quantify the concentration of protein and oil in soybeans.