Study on the Technologies of Loss Reduction in Wheat Mechanization Harvesting: A Review
Abstract
:1. Introduction
2. Major Losses in Wheat Combine Harvester Operation
2.1. Header Losses
2.2. Losses Due to Threshing and Separation
2.3. Cleaning Losses
3. Sensing Technologies for Monitoring Grain Loss during Harvest
3.1. Polyvinylidene Fluoride Piezoelectric Film Sensor
3.2. Piezoelectric Ceramic Sensor
4. Related Studies on the Intelligent Control and Loss Monitoring Technology of Combine Harvesters
4.1. Header Intelligent Adjustment
4.2. Monitoring the Feeding Amount
4.3. Monitoring the Threshing and Separation Losses
4.4. Intelligent Control of the Cleaning System
5. Application of Grain Loss Monitoring System in a Harvester
5.1. Principle of Grain Loss Monitoring System
5.2. Monitoring Different Losses from the Harvester with Sensors
5.3. Technical Guidance on Loss Reduction for Mechanized Wheat Harvesting
- (1)
- The market for old combine harvesters in China is relatively high; the machine parts are seriously worn, and high grain loss occurs during harvesting operations. Therefore, the old harvesters should be eliminated in a timely fashion, and new machines should be introduced;
- (2)
- Before the beginning of the harvest season, all operators should receive centralized formal training and be assessed afterward. This would be required to work with certification so as to improve their theoretical level, operational ability, and awareness of loss reduction;
- (3)
- Ensuring that the linear speed of the reel is 1.1–1.2 times that of the forward speed of the combine; this should not be too high. Adjust the height position of the reel so that the pressure plate of the reel acts at two-thirds of the height of the crop. Under the premise of ensuring that the crushing rate does not exceed the standard, the threshing rate can be improved, and threshing loss can be reduced by properly increasing the speed of the threshing cylinder, reducing the gap between the cylinder and the concave, and correctly adjusting the ratio of the inlet-to-outlet gap (which should be 4:1). Under the premise of ensuring that the impurity content does not exceed the standard, the cleaning loss can be reduced by appropriately reducing the fan speed, increasing the opening of the sieve, and improving the position of the tail sieve;
- (4)
- In order to improve the intelligence level of the equipment, wheat combine harvesters can be equipped with online monitoring devices for loss rate, impurity content rate, and crushing rate. According to the relevant indicators and curves prompted by the online monitoring devices, the operators can timely adjust the operating speed, feeding amount, stubble height, and other operating state parameters to obtain and maintain the ideal operating state for the loss rate, impurity content, and crushing rate.
6. Suggestions and Prospects
- (1)
- At present, the resolution of the grain loss sensor is low. We need to increase the research and development of agricultural sensors to improve the performance and efficiency of these sensors to meet the requirements of wheat harvesting;
- (2)
- Optimize the intelligence control algorithm. The organic combination of various algorithms can realize the rapid processing of loss monitoring data to obtain an accurate loss rate, which plays an important role in improving the intelligent loss monitoring efficiency of combine harvesters;
- (3)
- Multisensor information fusion development. Through the integration of sensor monitoring technology, internet communication technology, intelligent control technology, and other technologies, the combine harvesters can realize real-time online monitoring of grain loss. Then, feed this back to other controllers through the central control hub to make adaptive adjustments to the key working components in a timely manner so that the grain loss rate of a combine harvester is at the lowest level.
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Sources | Relevant Parameters That Affect Loss | References |
---|---|---|
Header Losses | Cutter impact, reel height and speed, operating speed, cutting height | [10,11,12,79,80] |
Threshing Losses | Rotation speed of threshing cylinder, concave clearance, crop feeding amount, crop moisture | [13,14,15,81,82] |
Separation Losses | Cylinder speed, type of concave sieve, crop moisture | [83,84] |
Cleaning Losses | Crop feeding amount, fan speed | [18,19,20,85,86] |
Type of Sensor | Characteristics | Photo | References |
---|---|---|---|
PVDF piezoelectric film sensor | The sensor surface sensitivity is evenly distributed but the signal output sensitivity is not high; the reliability is poor, and it is vulnerable to vibration and noise interference. | [23,24,25,87,88,89,90] | |
Piezoelectric ceramic sensor | The metal plate has a good vibration transmission ability and easily collects the grain impact signals; the influence of mechanical vibration cannot be eliminated; the sensitivity distribution of the sensor surface is uneven; the measurement accuracy is unstable, and the spatial distribution characteristics of grain loss cannot be obtained. | [26,27,28,29,91] | |
Symmetrical structure sensor | Strong anti-interference ability; high reliability; strong grain signal recognition ability; the required machining accuracy is high, and the upper and lower elastic elements and structure must be symmetrical. | [92,93] | |
Piezoelectric crystal sensor | This sensor not only increases the signal of the grain cleaning loss but also provides consistent sensitivity for the stable performance of the sensor, and the high signal-to-noise ratio is the key feature of the sensor. | [94] | |
Pressure sensor | Small size, light weight, high accuracy and good temperature characteristics. | [95] | |
Acoustic electric sensor | The monitoring accuracy of the sensor is greatly affected by mechanical vibration and strong noise. | [96] |
Type of Losses | Sensor Used | Sensor Position | Measurement Error (%) | References |
---|---|---|---|---|
Cleaning loss | Piezoelectric ceramic | Under the cleaning sieve | 3.57 | [28] |
Separation loss | PVDF film sensor | Under the threshing sieve | 3.4 | [98] |
Cleaning loss | Piezoelectric crystal sensor | Under the cleaning sieve | 3.3 | [99] |
Separation/cleaning | Piezoelectric ceramic | Under the sieve | ≤ 3.46 | [100] |
Cleaning loss | Symmetrical structure sensor | Under the cleaning sieve | ≤ 2.81 | [92] |
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Chen, X.; He, X.; Wang, W.; Qu, Z.; Liu, Y. Study on the Technologies of Loss Reduction in Wheat Mechanization Harvesting: A Review. Agriculture 2022, 12, 1935. https://doi.org/10.3390/agriculture12111935
Chen X, He X, Wang W, Qu Z, Liu Y. Study on the Technologies of Loss Reduction in Wheat Mechanization Harvesting: A Review. Agriculture. 2022; 12(11):1935. https://doi.org/10.3390/agriculture12111935
Chicago/Turabian StyleChen, Xu, Xun He, Wanzhang Wang, Zhe Qu, and Yuan Liu. 2022. "Study on the Technologies of Loss Reduction in Wheat Mechanization Harvesting: A Review" Agriculture 12, no. 11: 1935. https://doi.org/10.3390/agriculture12111935
APA StyleChen, X., He, X., Wang, W., Qu, Z., & Liu, Y. (2022). Study on the Technologies of Loss Reduction in Wheat Mechanization Harvesting: A Review. Agriculture, 12(11), 1935. https://doi.org/10.3390/agriculture12111935