Conceptual design of an autonomous rover with ground penetrating radar: application in characterizing soils using deep learning

摘要: In the pursuit to make agricultural production efficient, earliest farmers used data in form of notes observations. current age data, it has become easier collect over a wide spectrum parameters. There are numerous sensing technologies for measuring processes on and surface field, typically mounted satellites, aerial vehicles (drones), ground vehicle static platforms. Recently, soil been gaining increasing attention recognition its significance not only productivity but also stabilizing environment. However, characterizing field is trivial, especially when required access deeper layers quantifying essential contents – water, nutrients organic matter. This paper presents short review applications penetrating radars (GPR) content structure. The focus deep learning constructs that have interpreting establishing correlations characterization soils. serves inform design considerations planned autonomous rover will be surveying soils Satakunta region Finland. After review, conceptual an GPR presented.