Agronomy Professor and Principal Investigator. Leads research on digital ag, crop modeling, and remote sensing. Co-director of IDAAS at Purdue.

ML engineer bridging computer science and agronomy. Focused on computer vision, 3D reconstruction, data analysis and precision ag.

Biosystems Engineer researching digital agronomy. Works with sensors, web/mobile apps, computer vision, and AI for ag.

Agronomist developing decision support models for precision nitrogen management in corn. Integrates crop physiology, sensing technologies, and statistics to improve productivity while reducing environmental impact.

Agronomist researching sustainable corn-soybean systems, using digital tools to assess how crop rotation, cover crops, and nitrogen management impact soil health, environmental resilience, and overall farm productivity and profitability.

Focuses on crop modeling and data analysis. Background in agronomy with research on yield gaps, nutrient dynamics, and malting barley quality.

Focuses on applied statistics for agriculture-related problems, with emphasis on nitrogen management and corn physiology. Background in the role of legume crops in soil nitrogen budgets within agricultural systems.

Works at the intersection of agronomy, data science, and economics. Focuses on crop modeling, big data, and decision tools to improve sustainability, profitability, and risk management in agriculture.

Combining expertise in agronomy, remote sensing & geographic information systems, and economics. Current research efforts are directed toward the sustainable intensification of agricultural systems and digital agriculture.

Agronomy undergraduate from University of Santa Maria with experience in field crops and soil science. Supports field operations through crop monitoring, data collection, and hands-on agricultural practices across research sites.

Agronomy undergraduate from University of Santa Maria with experience in field crops. Supports field operations through crop monitoring, data collection, and hands-on agricultural practices across research sites.

Agronomical Engineering undergraduate student from the national university of Colombia, passionate and skilled in fertigation, irrigation, soil physics, and the use of data in agriculture

Agronomist graduated from the National University of Córdoba. Focused on digital agriculture with experience in Python and programming for agricultural applications. Areas of contribution include data management, digital tools, and the integration of technology into agricultural systems.

Undergraduate student in Agronomic Engineering at the National University of Colombia, with experience in agronomic data analysis. Skilled in statistics, Web applications, and the application of machine learning in agriculture.

Field Coordinator at Ciampitti Lab. Oversees field operations, manages trial logistics, and ensures data collection quality across research sites.

I am an agronomist interested in sustainable agriculture and the use of new technologies to improve the yield of agronomic crops. I have hands-on experience in fields crops, data collection, harvesting and pesticides applications, gained through academic projects and internship.

Passionate about agriculture, innovation, and exploration. Always eager to learn and take on new challenges in agronomy and agricultural advancement. Supports field operations through crop monitoring, data collection, and hands-on agricultural practices across research sites.

Lab Coordinator at Ciampitti Lab. Supports lab operations, chemical analysis, and data workflows, contributing to research and team coordination since 2022.

Data Scientist with a background in Agricultural Engineering and precision agriculture. Focuses on geospatial analytics and remote sensing using multispectral imagery. Experienced in Python, GIS, and database optimization to develop digital tools for vegetation analysis and decision support in agriculture.