UAV-based multispectral and thermal cameras to predict soil water content – A machine learning approach

Several new activities have been stimulated by the work within the Harmonious COST Action. An example is represented by the recent work by László Bertalan et al. (2022) on Computers and Electronics in Agriculture. The authors aimed to study the efficacy of UAV-based thermal (TH) and multispectral (MS) cameras in soil water content mapping.

How to cite: Bertalan, L., I. Holb, A.Pataki, G. Négyesi, G. Szabó, A.K.Szalóki, S. Szabó, UAV-based multispectral and thermal cameras to predict soil water content – A machine learning approach, Computers and Electronics in Agriculture, 2022. [pdf]