Anzeige
Erschienen in:
2020 | OriginalPaper | Buchkapitel
Soil pH Classification Based on LSTM via UWB Radar Echoes
verfasst von : Tiantian Wang, Fangqi Zhu, Jing Liang
Erschienen in: Communications, Signal Processing, and Systems
Verlag: Springer Singapore
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
This paper proposed a new method to classify soil pH based on long short-term memory (LSTM) via ultra-wideband (UWB) radar echoes. The main contribution of this paper is to provide a solution by incorporating the LSTM into the field experiment related to UWB based on soil pH echoes. Five types of UWB soil echoes with different pH values are collected and investigated using LSTM approach. Finally, the analysis of results shows that LSTM method presents a good classification performance with a short execution time and the data features do not need to be extracted manually. The high accuracy rate also shows that LSTM method is beneficial to the study of other soil parameters.