Highlights•A novel wheat harvest property prediction CNN-LSTM network was
proposed.•The temporal and spatial characteristics of wheat remote sensing data were …

Combine harvesters are prone to blockage, belt burnout and maintenance problems due to
their complex transmission structure and variable operating environment. Therefore, a …

Nowadays, many scholars at home and abroad have studied the vibration of agricultural
machinery, especially harvesting machinery. However, this research has lacked the analysis …

This work diagnoses online faults by classifying the real-time data collected by a dissolved
oxygen sensor. Based on the three types of fault classification of dissolved oxygen …

Sowing is critical for successful crop establishment and productivity, particularly in precision
agriculture management strategies. However, topsoil characteristics directly affect …

Accurate fault prediction is essential to ensure the safety and reliability of combine harvester
operation. In this study, a combine harvester fault prediction method based on a combination …

As a multi-source vibration machine, the complex vibration of the combine harvester has
caused many effects on various components. In this paper, the dynamic response of the …

The research aims to estimate the influence of the main vibration sources in grain harvesters
on the combine operator. The study also has a comparative aspect, including two …