From November 1 to 15, Ardas Kavaliauskas, a PhD student at the Department of Plant Nutrition and Agroecology at the Institute of Agriculture, LAMMC, participated in a 15-day internship at the Department of Agroecology – Soil Physics and Hydropedology of Aarhus University, Denmark. The internship was coordinated by researchers at the institute, Lucas de Carvalho Gomes and Prof. Mogens Humlekrog Greve, whose group specialises in precision agriculture, remote sensing, and analysis of soil-plant interactions.
During the internship, the focus was on developing machine learning models for predicting corn yield, biomass and nitrogen uptake, integrating UAV multispectral and RGB data with ground-based measurements (SPAD, Fv/Fm, plant height, biomass indicators). Data preparation, application of regression algorithms, model optimisation and error analysis were performed.
The visit also included discussions with researchers from Aarhus University on plant stress assessment methods, integration of remote sensing, and advanced forecasting strategies in the context of climate change. Opportunities for collaboration in the preparation of joint publications were discussed.
The internship strengthened the methodological competencies in the field of agronomy applications of artificial intelligence, and the acquired knowledge will be directly applied in conducting research on corn productivity and nutrient uptake.
The internship was funded by the LAMMC PhD fund.
