Natalia Volpato
Master Student |
Crop Physiology
I am Natalia, I was born and raised in Arapongas, a city in the state of Paraná, Brazil. My passion for agronomy began early, influenced by my family's involvement in the field. This early exposure guided me on a clear career path. I pursued and successfully obtained my Bachelor of Science degree in Agronomy from the State University of Maringa (UEM). After graduation, I embraced a significant challenge by moving to another country to advance my professional growth. From 2022 to 2023, I explored a study of fatty acids analysis for crops like corn, soybean, canola, and sorghum at Ciampitti Lab. In 2024, I took on a new and exciting challenge by enrolling in a master's program at Kansas State University, where I am currently actively engaged. My research focuses on integrating on-farm data, exploring mung bean crops as a new alternative for Kansas farmers. I aim to develop crop models that enhance Digital Agriculture decisions, specifically regarding the suitability of this crop across the state.
Leonardo Lemes Bosche
Master Student |
Crop Physiology
I grew up in Maringá, Paraná, Brazil, where I earned my Agronomy BS degree at the State University of Maringá. I have worked with crop research since 2015. My first experience abroad was in the United States of America as a Visiting Scholar at Kansas State University in 2018, when I had the opportunity to work and learn with Dr. Ignacio Ciampitti’s group. I have experience in cropping systems, plant breeding, and seed technology and production.
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.
Carlos Hernandez
Digital Ag & Data Analytics in Agriculture |
Lucas Lingua
Crop Physiology
Martin Menendez
Crop Physiology