Sensors are the basis of digital agriculture; they provide data that allows the development of
agricultural control and supervisory systems, and it helps analyze the performance of …

ABSTRACT A few years have passed since the emergence of the Internet of Things (IoT)
technology and its massification. Then, we saw the rise of Industry 4.0 and Agro 4.0, making …

Normalized difference vegetation index (NDVI)-based models have been developed to
derive wheat grain yields with multispectral images. In this regard, field measurements and …

The real-time monitoring of corn yield by a combine harvester is a critical data source for
constructing the yield histogram, which significantly benefits precision management and …

Yield maps are recognized as a valuable tool with regard to managing upcoming crop
production but can contain a large amount of defective data that might result in misleading …

The threshing performance of combine harvesters is crucial for minimizing grain losses.
However, threshing is a highly complex process, and direct monitoring is infeasible due to …

Intensive vibration caused by uneven field terrain and imbalance of working components in
a combine harvester is commonly experienced by yield monitors, causing a significant …

Grain cleaning loss rate is an important performance index of combine harvesters which
needs to be measured in real time during the harvesting operation. To improve the …

Yield monitoring technology (YM) is a valuable tool to evaluate crop performance in on‐farm
research (OFR). However, limited information exists on utilizing this technology to accurately …

为了进一步提高联合收割机谷物产量计量系统的精度, 自主研发了基于光电漫反射原理的谷物
产量计量系统. 系统主要由传感器模块, 数据处理模块, GPS 模块和谷物产量计量显示终端组成 …