Performance of Crop Dividers with Reference to Harvesting Lodged Sugarcane

Bai, Jing; Ma, Shaochun; Wang, Fenglei; Xing, Haonan; Jian-jun, MA; Wang, Menglong

doi:10.1007/s12355-020-00829-8

Cited by 9 publications

(8 citation statements)

References 2 publications

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“…Based on the values of side angles, the sugarcane lodging can be divided into five categories: forward lodging (α = 0 • ), side and forward lodging (0 • < α < 90 • ), side lodging (α = 90 • ), side and inverse lodging (90 • < α < 180 • ), and reverse lodging (α = 180 • ). Based on the values of lodging angle, the sugarcane lodging can be divided into three categories: slight lodging (θ ≥ 60 • ), medium lodging (30 • ≤ θ < 60 • ) and severe lodging (0 • ≤ θ < 30 • ) [18]. The actual lodging forms of sugarcane in the field are mainly side and forward lodging, side and inverse lodging, and side lodging.…”

Section: Sugarcane Lodging Levelsmentioning

confidence: 99%

“…At present, sugarcane harvesters on the market mostly still employ the installation of spiral crop dividers, and interested scholars have carried out a series of studies into this [20]. In [18,20], the effects of different lodging angles, forward velocity (FV), scrolls speed and the ground clearance of the crop divider toes on lifting performance were investigated in a field experiment. It was concluded that it is necessary to improve the operational performance of the crop divider for different inversions of sugarcane.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, harvesting severely LS is still an unsolved As an essential component of the sugarcane harvester, the sugarcane supporting mechanism is mainly used to lift the sugarcane to a certain height to facilitate the work of the cutting mechanism. It is mainly divided into spiral and finger chain types [18]. Many scholars at home and abroad have carried out research on this.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Lodged Sugarcane/Crop Dividers Interaction: Analysis of Robotic Sugarcane Harvester in Agriculture via a Rigid-Flexible Coupled Simulation Method

et al. 2022

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As a critical component of the sugarcane harvester, the primary function of the crop dividers is to lift the lodged sugarcane (LS) and reduce the loss rate of the sugarcane harvest. In this study, a rigid-flexible coupling simulation method is proposed to improve the lifting efficiency of the crop dividers on severely LS and analyze the nature of interaction between the sugarcane stalk and the crop dividers. The model’s accuracy was verified using field experiments, and the operational performance of the crop dividers on sugarcane in different lodging postures was investigated. The results showed that the curve of the vertical height of the center (VHC) fluctuated more and slipped with highest frequency during the lifting process of side and forward LS. The speed of VHC was fastest during the lifting operation of side LS. The effect of side angle on the lifting effect of sugarcane was significant; the qualified values of the VHC of sugarcane being lifted in different lodged postures were: side and reverse lodged > side lodged > side and forward lodged. The coupling method and experimental results described in this paper can provide guidance for the optimal design and field operation of the crop dividers.

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Section: Sugarcane Lodging Levelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Lodged Sugarcane/Crop Dividers Interaction: Analysis of Robotic Sugarcane Harvester in Agriculture via a Rigid-Flexible Coupled Simulation Method

et al. 2022

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“…According to pre-tests and previous studies [19] , the lifting performance of crop dividers depends on the settings of operation parameters. The forward speed, rotational speed of inside scrolls, and toe ground clearance were selected as three main factors on the lifting performance for this experiment and the maximum lifting height of sugarcane stalks was selected as the evaluation indicator.…”

Section: Experimental Factors and Indicatorsmentioning

confidence: 99%

Field test and evaluation on crop dividers of sugarcane chopper harvester

Bai¹,

S.K.²,

Wang³

et al. 2021

International Journal of Agricultural and Biological Engineering

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In South China, the tropical weather and climate result in severe sugarcane lodging problems which greatly hinders sugarcane mechanical harvesting. The main function of the crop divider is to lift lodged canes and facilitate base-cut cane feeding. In this study, a series of field tests were conducted on crop dividers of Liugong 4GQ-180 sugarcane chopper harvester. The tests were designed to identify the relationships of the performance index (maximum lifting height of sugarcane) and the main influencing factors (machine forward speed, rotational speed of inside scrolls, and ground clearance of crop divider toes). The single factor test was conducted to determine optimum range of these test factors: the forward speed (FS) was 2.0-4.0 km/h, the rotational speed of inside scrolls (RS) was 100-140 r/min, and the toe ground clearance (GC) was 0-5 cm. The orthogonal test (three factors and three levels) was carried out to determine the optimal combination of operating parameters: FS was 2.0 km/h, RS was 115 r/min, and GC was 0 cm. In addition, the range analysis of orthogonal test results revealed that the order of each test factor affecting crop divider performance was RS, FS, GC. This study was expected to provide valuable references for the optimal operation of sugarcane harvester crop dividers.

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“…UAV remote sensing is the current research hotspot and the future research trend. Previous studies have shown that remote sensing technology based on UAV can detect not only lodging in high-density crops, such as buckwheat [ 10 ], rice [ 11 ], barley [ 12 ], wheat [ 13 ] and jute [ 14 ], but low-density crop lodging information acquisition, such as corn [ 15 ], sunflower [ 16 ], cotton [ 17 ] and sugarcane [ 18 ], has also achieved good results. In addition, many scholars have also carried out analyses of crop lodging based on different features extracted by UAV, including spectral information [ 19 ], texture features [ 20 ], gray level co-occurrence matrix [ 21 ] and vegetation indices [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

Accurate Wheat Lodging Extraction from Multi-Channel UAV Images Using a Lightweight Network Model

Yang

Zhu

Zhou

2021

Sensors

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The extraction of wheat lodging is of great significance to post-disaster agricultural production management, disaster assessment and insurance subsidies. At present, the recognition of lodging wheat in the actual complex field environment still has low accuracy and poor real-time performance. To overcome this gap, first, four-channel fusion images, including RGB and DSM (digital surface model), as well as RGB and ExG (excess green), were constructed based on the RGB image acquired from unmanned aerial vehicle (UAV). Second, a Mobile U-Net model that combined a lightweight neural network with a depthwise separable convolution and U-Net model was proposed. Finally, three data sets (RGB, RGB + DSM and RGB + ExG) were used to train, verify, test and evaluate the proposed model. The results of the experiment showed that the overall accuracy of lodging recognition based on RGB + DSM reached 88.99%, which is 11.8% higher than that of original RGB and 6.2% higher than that of RGB + ExG. In addition, our proposed model was superior to typical deep learning frameworks in terms of model parameters, processing speed and segmentation accuracy. The optimized Mobile U-Net model reached 9.49 million parameters, which was 27.3% and 33.3% faster than the FCN and U-Net models, respectively. Furthermore, for RGB + DSM wheat lodging extraction, the overall accuracy of Mobile U-Net was improved by 24.3% and 15.3% compared with FCN and U-Net, respectively. Therefore, the Mobile U-Net model using RGB + DSM could extract wheat lodging with higher accuracy, fewer parameters and stronger robustness.

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Performance of Crop Dividers with Reference to Harvesting Lodged Sugarcane

Cited by 9 publications

References 2 publications

Lodged Sugarcane/Crop Dividers Interaction: Analysis of Robotic Sugarcane Harvester in Agriculture via a Rigid-Flexible Coupled Simulation Method

Lodged Sugarcane/Crop Dividers Interaction: Analysis of Robotic Sugarcane Harvester in Agriculture via a Rigid-Flexible Coupled Simulation Method

Field test and evaluation on crop dividers of sugarcane chopper harvester

Accurate Wheat Lodging Extraction from Multi-Channel UAV Images Using a Lightweight Network Model

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