Wireless feeding rate real-time monitoring system of combine harvester

Wang, Yu; Wang, Xin; Zhang, Jiangjiang; Wang, Dong; Wang, Shumao

doi:10.1109/electronics.2017.7995220

Cited by 2 publications

(4 citation statements)

References 22 publications

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“…Usually, the operator attempts to adjust the ground speed to maintain the feed rate at a level that will maximize harvester capacity without overloading the harvester components [4,11,12]. The real-time working speed and output power of a combine harvester primarily depend on the feeding rate [13], which makes this parameter a key operating variable in such machines. During the operation, the feed rate of the crop material being inserted into the threshing unit of a combine harvester is highly variable [14], which is influenced by operator selections (such as ground speed) and feed variations due to changes in the crop density and the presence of weeds [7].…”

Section: Introductionmentioning

confidence: 99%

“…Yu et al [13] developed a device that can determine the feeding rate required to increase harvesting reliability and efficiency. However, using modern sensor technology to determine the feeding rate and other basic working parameters of combine harvesters in real time has been a challenge.…”

Section: Introductionmentioning

confidence: 99%

“…However, using modern sensor technology to determine the feeding rate and other basic working parameters of combine harvesters in real time has been a challenge. Yu et al [13] described a wireless feeding rate testing method for combine harvesters that was based on torque measurements of the auger sprocket wheel. Wireless torsional strain gauges were designed and fixed in the refitting sprocket, which was used to detect the flow rate of collected corn in the form of torque, and the wireless data transportation was achieved using appropriate wireless launching and receiving modules.…”

Section: Introductionmentioning

confidence: 99%

“…Wireless torsional strain gauges were designed and fixed in the refitting sprocket, which was used to detect the flow rate of collected corn in the form of torque, and the wireless data transportation was achieved using appropriate wireless launching and receiving modules. The experimental results showed that the maximum test error did not exceed 10% [13]. Wheat harvesting was investigated fuzzy logic controller (FLC).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Dynamic Indicators of a Corn Ear Threshing Process Influenced by the Threshing-Separation Unit Load

Kiniulis

Steponavičius

Kemzūraitė

et al. 2018

mech

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Corn ear feed rate variations in the threshing-separation unit of a combine harvester have a significant impact on the dynamic indicators of the threshing process. In this study, we conducted experiments using a stationary tangential threshing device and measured the forces acting on the rear part of the concave as well as the torque of the rotating cylinder during a threshing process. The ThreshLab software was developed for this purpose. We found that increasing the corn ear feed rate made the threshing process more even, due to decreasing the fluctuation of forces acting on the rear part of the concave and torque of the rotating cylinder. The corn ear threshing process may be more stable if the threshing cylinder is fitted with filler plates (FP-II). A comparison of the results obtained for variations in the forces acting on the rear part of the concave with those obtained for variations in the total torque of resistance and the speed of the threshing cylinder revealed a linear correlation between these parameters at varied feed rates. DOI: http://dx.doi.org/10.5755/j01.mech.24.4.20721

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Dynamic Indicators of a Corn Ear Threshing Process Influenced by the Threshing-Separation Unit Load

Kiniulis

Steponavičius

Kemzūraitė

et al. 2018

mech

View full text Add to dashboard Cite

show abstract

Prediction of Feed Quantity for Wheat Combine Harvester Based on Improved YOLOv5s and Weight of Single Wheat Plant without Stubble

Zhang,

Chen,

et al. 2024

Agriculture

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In complex field environments, wheat grows densely with overlapping organs and different plant weights. It is difficult to accurately predict feed quantity for wheat combine harvester using the existing YOLOv5s and uniform weight of a single wheat plant in a whole field. This paper proposes a feed quantity prediction method based on the improved YOLOv5s and weight of a single wheat plant without stubble. The improved YOLOv5s optimizes Backbone with compact bases to enhance wheat spike detection and reduce computational redundancy. The Neck incorporates a hierarchical residual module to enhance YOLOv5s’ representation of multi-scale features. The Head enhances the detection accuracy of small, dense wheat spikes in a large field of view. In addition, the height of a single wheat plant without stubble is estimated by the depth distribution of the wheat spike region and stubble height. The relationship model between the height and weight of a single wheat plant without stubble is fitted by experiments. Then, feed quantity can be predicted using the weight of a single wheat plant without stubble estimated by the relationship model and the number of wheat plants detected by the improved YOLOv5s. The proposed method was verified through experiments with the 4LZ-6A combine harvester. Compared with the existing YOLOv5s, YOLOv7, SSD, Faster R-CNN, and other enhancements in this paper, the mAP50 of wheat spikes detection by the improved YOLOv5s increased by over 6.8%. It achieved an average relative error of 4.19% with a prediction time of 1.34 s. The proposed method can accurately and rapidly predict feed quantity for wheat combine harvesters and further realize closed-loop control of intelligent harvesting operations.

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Wireless feeding rate real-time monitoring system of combine harvester

Cited by 2 publications

References 22 publications

Dynamic Indicators of a Corn Ear Threshing Process Influenced by the Threshing-Separation Unit Load

Dynamic Indicators of a Corn Ear Threshing Process Influenced by the Threshing-Separation Unit Load

Prediction of Feed Quantity for Wheat Combine Harvester Based on Improved YOLOv5s and Weight of Single Wheat Plant without Stubble

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