Pub Date : 2023-01-01DOI: 10.25165/j.ijabe.20231604.7908
Ruining Zhang, Wei Lu, Xingliang Jian, Hui Luo
The existing steering device in the fruit and vegetable packaging assembly line cannot adjust the attitude of lettuce to a unified attitude, affecting the input and packaging process of the packaging machine. This study proposes an intelligent assembly line sorting method based on the visual positioning and model predictive control of a robotic arm. First, lightweight improvement based on the YOLOv5 is realized, the lettuce stalk in the background of the conveyor belt is promptly identified, the image of the lettuce stalk in the anchor box area is processed, and the edge contour point set is determined to extract the pixel coordinates of the optimal grasp point and mirror inclination angle of the lettuce. For the intelligent assembly line system, a robot arm kinematics model is constructed and the robot kinematics inverse solutions are calculated. Additionally, the lettuce movement speeds are dynamically measured by the vision system. A combination of the model prediction control, dynamic tracking, and rapid sorting of the lettuce by the robot claw is realized. The results show that the average detection time of a single frame image in the visual positioning part is 0.014 s, which is reduced by 50%; the accuracy and recall are 98% and 95%, respectively. The detection time is significantly reduced by ensuring accuracy. Within the current speed range of the packaging assembly line conveyor belt, the manipulator can grasp lettuce at different speeds stably and fast; the average axial error, average radial error, and adjusted average inclination angle error are 0.71 cm, 1.02 cm, and 3.79°, respectively, verifying the high efficiency and stability of the model. The proposed method of this study enables application in the intelligent sorting operation of industrial assembly lines Keywords: YOLOv5, deep learning, image recognition, model predictive control, intelligent assembly line DOI: 10.25165/j.ijabe.20231604.7908 Citation: Zhang R N, Lu W, Jian X L, Luo H. Intelligent sorting method for assembly line based on visual positioning and model predictive control of robotic arm. Int J Agric & Biol Eng, 2023; 16(4): 207-214.
{"title":"Intelligent sorting method for assembly line based on visual positioning and model predictive control of robotic arm","authors":"Ruining Zhang, Wei Lu, Xingliang Jian, Hui Luo","doi":"10.25165/j.ijabe.20231604.7908","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231604.7908","url":null,"abstract":"The existing steering device in the fruit and vegetable packaging assembly line cannot adjust the attitude of lettuce to a unified attitude, affecting the input and packaging process of the packaging machine. This study proposes an intelligent assembly line sorting method based on the visual positioning and model predictive control of a robotic arm. First, lightweight improvement based on the YOLOv5 is realized, the lettuce stalk in the background of the conveyor belt is promptly identified, the image of the lettuce stalk in the anchor box area is processed, and the edge contour point set is determined to extract the pixel coordinates of the optimal grasp point and mirror inclination angle of the lettuce. For the intelligent assembly line system, a robot arm kinematics model is constructed and the robot kinematics inverse solutions are calculated. Additionally, the lettuce movement speeds are dynamically measured by the vision system. A combination of the model prediction control, dynamic tracking, and rapid sorting of the lettuce by the robot claw is realized. The results show that the average detection time of a single frame image in the visual positioning part is 0.014 s, which is reduced by 50%; the accuracy and recall are 98% and 95%, respectively. The detection time is significantly reduced by ensuring accuracy. Within the current speed range of the packaging assembly line conveyor belt, the manipulator can grasp lettuce at different speeds stably and fast; the average axial error, average radial error, and adjusted average inclination angle error are 0.71 cm, 1.02 cm, and 3.79°, respectively, verifying the high efficiency and stability of the model. The proposed method of this study enables application in the intelligent sorting operation of industrial assembly lines Keywords: YOLOv5, deep learning, image recognition, model predictive control, intelligent assembly line DOI: 10.25165/j.ijabe.20231604.7908 Citation: Zhang R N, Lu W, Jian X L, Luo H. Intelligent sorting method for assembly line based on visual positioning and model predictive control of robotic arm. Int J Agric & Biol Eng, 2023; 16(4): 207-214.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135660291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.25165/j.ijabe.20231603.4503
Honglei Wei, Xiangzhi Kong, Xianyi Zhai, Qiang Tong, Guibing Pang
One of the essential techniques for using underwater robots to fish sea cucumbers is that the robots must track sea cucumbers using computer vision technology. Tracking underwater targets is a challenging task due to suspension, water absorption, and light scattering. This study proposed a simple but effective algorithm for sea cucumber tracking based on Kernelized Correlation Filters (KCF) framework. This method tracked the head and tail of the sea cucumber respectively and calculated the scale change according to the distance between the head and tail. The KCF method was improved on three strategies. First of all, the target was searched at the predicted position to improve accuracy. Secondly, an adaptive learning rate updating method based on the detection score of each frame was proposed. Finally, the adaptive size of the histogram of the oriented gradient (HOG) feature was used to balance the accuracy and efficiency. Experimental results showed that the algorithm had good tracking performance. Keywords: visual tracking, correlation filters, kernelized correlation filters, sea cucumber, scale estimation, underwater DOI: 10.25165/j.ijabe.20231603.4503 Citation: Wei H L, Kong X Z, Zhai X Y, Tong Q, Pang G B. Visual tracking for underwater sea cucumber via correlation filters. Int J Agric & Biol Eng, 2023; 16(3): 16(3): 247–253.
{"title":"Visual tracking for underwater sea cucumber via correlation filters","authors":"Honglei Wei, Xiangzhi Kong, Xianyi Zhai, Qiang Tong, Guibing Pang","doi":"10.25165/j.ijabe.20231603.4503","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231603.4503","url":null,"abstract":"One of the essential techniques for using underwater robots to fish sea cucumbers is that the robots must track sea cucumbers using computer vision technology. Tracking underwater targets is a challenging task due to suspension, water absorption, and light scattering. This study proposed a simple but effective algorithm for sea cucumber tracking based on Kernelized Correlation Filters (KCF) framework. This method tracked the head and tail of the sea cucumber respectively and calculated the scale change according to the distance between the head and tail. The KCF method was improved on three strategies. First of all, the target was searched at the predicted position to improve accuracy. Secondly, an adaptive learning rate updating method based on the detection score of each frame was proposed. Finally, the adaptive size of the histogram of the oriented gradient (HOG) feature was used to balance the accuracy and efficiency. Experimental results showed that the algorithm had good tracking performance. Keywords: visual tracking, correlation filters, kernelized correlation filters, sea cucumber, scale estimation, underwater DOI: 10.25165/j.ijabe.20231603.4503 Citation: Wei H L, Kong X Z, Zhai X Y, Tong Q, Pang G B. Visual tracking for underwater sea cucumber via correlation filters. Int J Agric & Biol Eng, 2023; 16(3): 16(3): 247–253.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135357307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.25165/j.ijabe.20231601.6257
Yongcheng Jiang, Jianjun Li, Yang Li, Shide Li, Xin Song, H. Wu, Shushan Zhu
{"title":"Smart control system for the precision cultivation of black fungus","authors":"Yongcheng Jiang, Jianjun Li, Yang Li, Shide Li, Xin Song, H. Wu, Shushan Zhu","doi":"10.25165/j.ijabe.20231601.6257","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231601.6257","url":null,"abstract":"","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73831866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: Accurate and effective management of irrigation and fertilization is essential for efficient greenhouse strawberry production. Here, the effects of the combined application of water and potassium on strawberry growth were evaluated by experimenting with 12 treatments, including four transpiration (ET C )-based irrigation levels (W1: 100% ET C , W2: 85% ET C , W3: 70% ET C , and W4: 55% ET C ) and three potassium levels according to the target yield (K1: 369.5 kg/hm 2 , K2: 307.9 kg/hm 2 , and K3: 246.3 kg/hm 2 ). Various indexes of strawberry yield, fruit quality, water and fertilizer utilization efficiency, and soil nutrient residues were measured. Irrigation and potassium application had significant effects on strawberry production. Higher irrigation levels increased yield ( Y ), and moderate water and potassium application increased single fruit weight (SFW), water utilization efficiency (WUE), total soluble sugar (TSSC), and the sugar-acid ratio (SAR). While low-application of potassium increased the soluble protein content (SP), partial factor productivity of potassium (PFP K ), and reduce nutrient residues in soil effectively. A comprehensive system for evaluating strawberry growth and its benefits to the soil environment was developed. The FAHP and CRITIC methods were used to calculate the subjective weight and objective weight of each index, respectively. The largest subjective weight was observed for Y (0.200), and the largest objective weight was observed for soil-available potassium (0.101). The final weight was determined using Game theory; Y had the highest weight (0.185), and free amino acids (FAA) had the lowest weight (0.047). Grey relational analysis (GRA) was used to evaluate the optimal irrigation and potassium scheme for accomplishing multiple objectives. The response of the comprehensive score of strawberries to irrigation and potassium exhibited a negative parabolic relationship, and the effect of irrigation was greater than the effect of potassium application. There was a significant interaction between irrigation and potassium application, and an irrigation amount of 2053-2525 m 3 /hm 2 with a potassium application rate of 288.1-334.2 kg/hm 2 was optimal for promoting strawberry yield, fruit quality, and efficiency and reducing soil nutrient residues. The results of this study provide new insights that could aid the development of sustainable approaches for enhancing agricultural production.
准确有效的灌溉和施肥管理对温室草莓的高效生产至关重要。本研究通过12个处理，包括4个以蒸腾(ET C)为基础的灌溉水平(W1: 100% ET C、W2: 85% ET C、W3: 70% ET C和W4: 55% ET C)和3个按目标产量(K1: 369.5 kg/hm 2、K2: 307.9 kg/hm 2和K3: 246.3 kg/hm 2)，评价了水钾配施对草莓生长的影响。测定了草莓产量、果实品质、水肥利用效率和土壤养分残留量等各项指标。灌溉和施钾对草莓产量影响显著。较高的灌溉水平提高了产量(Y)，适度的水钾处理提高了单果重(SFW)、水分利用效率(WUE)、总可溶性糖(TSSC)和糖酸比(SAR)。低施钾可有效提高土壤可溶性蛋白含量(SP)、钾的部分因子生产力(PFP K)，减少土壤养分残留。建立了草莓生长及其对土壤环境效益的综合评价体系。采用FAHP法和CRITIC法分别计算各指标的主观权重和客观权重。土壤速效钾的主观质量最大(0.200)，土壤速效钾的客观质量最大(0.101)。最终权重由博弈论确定;Y的质量最高(0.185)，游离氨基酸(FAA)的质量最低(0.047)。采用灰色关联分析(GRA)对实现多目标的最优灌钾方案进行了评价。草莓综合得分对灌溉和钾肥的响应呈负抛物线关系，灌溉的影响大于钾肥的影响。灌溉与施钾之间存在显著的交互作用，灌溉量为2053 ~ 2525 m3 /hm 2，施钾量为288.1 ~ 334.2 kg/hm 2，对提高草莓产量、果实品质和效率、减少土壤养分残留效果最佳。这项研究的结果提供了新的见解，可以帮助发展可持续的方法来提高农业生产。
{"title":"Comprehensive evaluation of the optimal rates of irrigation and potassium application for strawberry","authors":"X. Yang, Rongcheng Du, Mengchi Zhang, Huawei Feng, Ziqing Wang, Zhi Zhang","doi":"10.25165/j.ijabe.20231602.7591","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231602.7591","url":null,"abstract":": Accurate and effective management of irrigation and fertilization is essential for efficient greenhouse strawberry production. Here, the effects of the combined application of water and potassium on strawberry growth were evaluated by experimenting with 12 treatments, including four transpiration (ET C )-based irrigation levels (W1: 100% ET C , W2: 85% ET C , W3: 70% ET C , and W4: 55% ET C ) and three potassium levels according to the target yield (K1: 369.5 kg/hm 2 , K2: 307.9 kg/hm 2 , and K3: 246.3 kg/hm 2 ). Various indexes of strawberry yield, fruit quality, water and fertilizer utilization efficiency, and soil nutrient residues were measured. Irrigation and potassium application had significant effects on strawberry production. Higher irrigation levels increased yield ( Y ), and moderate water and potassium application increased single fruit weight (SFW), water utilization efficiency (WUE), total soluble sugar (TSSC), and the sugar-acid ratio (SAR). While low-application of potassium increased the soluble protein content (SP), partial factor productivity of potassium (PFP K ), and reduce nutrient residues in soil effectively. A comprehensive system for evaluating strawberry growth and its benefits to the soil environment was developed. The FAHP and CRITIC methods were used to calculate the subjective weight and objective weight of each index, respectively. The largest subjective weight was observed for Y (0.200), and the largest objective weight was observed for soil-available potassium (0.101). The final weight was determined using Game theory; Y had the highest weight (0.185), and free amino acids (FAA) had the lowest weight (0.047). Grey relational analysis (GRA) was used to evaluate the optimal irrigation and potassium scheme for accomplishing multiple objectives. The response of the comprehensive score of strawberries to irrigation and potassium exhibited a negative parabolic relationship, and the effect of irrigation was greater than the effect of potassium application. There was a significant interaction between irrigation and potassium application, and an irrigation amount of 2053-2525 m 3 /hm 2 with a potassium application rate of 288.1-334.2 kg/hm 2 was optimal for promoting strawberry yield, fruit quality, and efficiency and reducing soil nutrient residues. The results of this study provide new insights that could aid the development of sustainable approaches for enhancing agricultural production.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72419733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.25165/j.ijabe.20231602.7427
Chong Chen, Xingqiao Liu, Chao Liu, Qin Pan
: To precisely meet the nutritional requirements of sows during the stages of pregnancy and lactation, a precision feeding system was developed by using the intelligent sow feeder combined with a rule-based expert system and the Internet of Things (IoTs). The model of uncertain knowledge representation was established for inference by using the certainty factor. The daily feeding amount of each sow was calculated by the expert system. An improved pattern matching algorithm Reused Degree Model-RETE (RDM-RETE) was proposed for the decision of daily feeding amount, which sped up inference by optimizing the RETE network topology. A prediction model of daily feeding amount was established by a rule-based expert system and the precision feeding was achieved by an accurate control technology of variable volume. The experimental results demonstrated that the HASH-RDM-RETE algorithm could effectively reduce the network complexity and improve the inference efficiency. The feeding amount decided by the expert system was a logarithmic model, which was consistent with the feeding law of lactating sows. The inferential feeding amount was adopted as the predicted feed intake and the coefficient of correlation between predicted feed intake and actual feed intake was greater than or equal to 0.99. Each sow was fed at different feeding intervals and different feed amounts for each meal in a day. The feed intake was 26.84% higher than that of artificial feeding during lactation days ( p <0.05). The piglets weaned per sow per year (PSY) can be increased by 1.51 compared with that of relatively high levels in domestic pig farms. This system is stable in feeding and lowers the breeding cost that can be applied in precision feeding in swine production.
{"title":"Development of the precision feeding system for sows via a rule-based expert system","authors":"Chong Chen, Xingqiao Liu, Chao Liu, Qin Pan","doi":"10.25165/j.ijabe.20231602.7427","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231602.7427","url":null,"abstract":": To precisely meet the nutritional requirements of sows during the stages of pregnancy and lactation, a precision feeding system was developed by using the intelligent sow feeder combined with a rule-based expert system and the Internet of Things (IoTs). The model of uncertain knowledge representation was established for inference by using the certainty factor. The daily feeding amount of each sow was calculated by the expert system. An improved pattern matching algorithm Reused Degree Model-RETE (RDM-RETE) was proposed for the decision of daily feeding amount, which sped up inference by optimizing the RETE network topology. A prediction model of daily feeding amount was established by a rule-based expert system and the precision feeding was achieved by an accurate control technology of variable volume. The experimental results demonstrated that the HASH-RDM-RETE algorithm could effectively reduce the network complexity and improve the inference efficiency. The feeding amount decided by the expert system was a logarithmic model, which was consistent with the feeding law of lactating sows. The inferential feeding amount was adopted as the predicted feed intake and the coefficient of correlation between predicted feed intake and actual feed intake was greater than or equal to 0.99. Each sow was fed at different feeding intervals and different feed amounts for each meal in a day. The feed intake was 26.84% higher than that of artificial feeding during lactation days ( p <0.05). The piglets weaned per sow per year (PSY) can be increased by 1.51 compared with that of relatively high levels in domestic pig farms. This system is stable in feeding and lowers the breeding cost that can be applied in precision feeding in swine production.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76365158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.25165/j.ijabe.20231603.7058
Yanyun Wang, Aihua Long, Xiaoya Deng, Abuduaini Abulizi, Jie Wang, Pei Zhang, Yang Hai, Cai Ren, Ji Zhang, Yundong Liu, Weiming Zhao
{"title":"Spatiotemporal changes and influencing factors of the intensity of agricultural water footprint in Xinjiang, China","authors":"Yanyun Wang, Aihua Long, Xiaoya Deng, Abuduaini Abulizi, Jie Wang, Pei Zhang, Yang Hai, Cai Ren, Ji Zhang, Yundong Liu, Weiming Zhao","doi":"10.25165/j.ijabe.20231603.7058","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231603.7058","url":null,"abstract":"","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135361267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.25165/j.ijabe.20231604.7841
Yihua Jiang, Fang Yang, Zihao Zhang, Shanjun Li
In order to solve the problems of complexity of control systems and the limited power supply of traditional fuel-powered and battery-driven transporters operating in mountainous orchards, a sliding contact line-powered track transporter was designed and manufactured based on theoretical calculations. Key components of the transporter were developed such as a PLC-based (programmable logic controller) control system, a sliding contact power supply, and transmission system, and a position limit device. The functions and performance of designed transporter were tested. The test results showed that the transporter exhibited a high stability of operation with an average operation velocity of 0.70 m/s, the maximum working slope of 48°, the maximum load of 400 kg, and the maximum remote control distance reaching 1482 m. When the power supply circuit of sliding contact line was 108.8 m in length, the maximum voltage drop was 2.4 V, and the maximum power loss was 174.72 W, which were close to the theoretical calculation values. With a single power supply cabinet, the transporter can operate normally for a maximum track distance of 175.69 m. All the technical indicators of the transporter met the design requirements, and the above-mentioned problems such as complexity of the control system and limited energy supply of the traditional mountain orchard transporter were well solved. This study can provide reference for the design and optimization of mountain orchard transporter. Keywords: mountain orchard, transporter, remote control, sliding contact line, voltage drop DOI: 10.25165/j.ijabe.20231604.7841 Citation: Jiang Y H, Yang F, Zhang Z H, Li S J. Development and tests of sliding contact line-powered track transporter. Int J Agric & Biol Eng, 2023; 16(4): 68–75.
{"title":"Development and tests of sliding contact line-powered track transporter","authors":"Yihua Jiang, Fang Yang, Zihao Zhang, Shanjun Li","doi":"10.25165/j.ijabe.20231604.7841","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231604.7841","url":null,"abstract":"In order to solve the problems of complexity of control systems and the limited power supply of traditional fuel-powered and battery-driven transporters operating in mountainous orchards, a sliding contact line-powered track transporter was designed and manufactured based on theoretical calculations. Key components of the transporter were developed such as a PLC-based (programmable logic controller) control system, a sliding contact power supply, and transmission system, and a position limit device. The functions and performance of designed transporter were tested. The test results showed that the transporter exhibited a high stability of operation with an average operation velocity of 0.70 m/s, the maximum working slope of 48°, the maximum load of 400 kg, and the maximum remote control distance reaching 1482 m. When the power supply circuit of sliding contact line was 108.8 m in length, the maximum voltage drop was 2.4 V, and the maximum power loss was 174.72 W, which were close to the theoretical calculation values. With a single power supply cabinet, the transporter can operate normally for a maximum track distance of 175.69 m. All the technical indicators of the transporter met the design requirements, and the above-mentioned problems such as complexity of the control system and limited energy supply of the traditional mountain orchard transporter were well solved. This study can provide reference for the design and optimization of mountain orchard transporter. Keywords: mountain orchard, transporter, remote control, sliding contact line, voltage drop DOI: 10.25165/j.ijabe.20231604.7841 Citation: Jiang Y H, Yang F, Zhang Z H, Li S J. Development and tests of sliding contact line-powered track transporter. Int J Agric & Biol Eng, 2023; 16(4): 68–75.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135658902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.25165/j.ijabe.20231604.7408
Hui Wang, Wenpeng Shi, Wene Wang, Xiaotao Hu, Gang Ling, Rong Wei
Herbicides with drip irrigation (chemigation) could control the herbicides application accurately as the irrigation technology, and could reduce the harm to humans and the environment. However, the herbicide concentration is not consistent in the advancing process along the drip irrigation tape of different lengths, which not only influences the crop growth and results in herbicide residue. In this study, the crop and environmental effects of chemigation were discussed, potassium permanganate was used to replace herbicides, and a laboratory test was conducted to determine the best application duration. Based on this result, the maize field experiment of chemigation under plastic mulch was carried out to compare the effects of maize growth index, yield and herbicide residue for determining the optimal chemigation mode. The result shows that there is no significant difference in the application uniformity among treatments, but the leaf area index (LAI), yield, and double-ear rate of maize under continuous application (CA) were higher than those under periodic application (PA) and no application (NA) significantly. One month after the application, the acetochlor residue of the two modes was less than 1%, which would not cause pollution to the surrounding environment. And there was a significant linear regression relationship between the length of drip irrigation tape and the optimal application duration under the same acetochlor dosage. Keywords: chemigation, irrigation mode, maize, environment DOI: 10.25165/j.ijabe.20231604.7408 Citation: Wang H, Shi W P, Wang W E, Hu X T, Ling G, Wei R. An optimal chemigation duration model based on the crop and environment effects. Int J Agric & Biol Eng, 2023; 16(4): 41-50
{"title":"Optimal chemigation duration model based on the crop and environment effects","authors":"Hui Wang, Wenpeng Shi, Wene Wang, Xiaotao Hu, Gang Ling, Rong Wei","doi":"10.25165/j.ijabe.20231604.7408","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231604.7408","url":null,"abstract":"Herbicides with drip irrigation (chemigation) could control the herbicides application accurately as the irrigation technology, and could reduce the harm to humans and the environment. However, the herbicide concentration is not consistent in the advancing process along the drip irrigation tape of different lengths, which not only influences the crop growth and results in herbicide residue. In this study, the crop and environmental effects of chemigation were discussed, potassium permanganate was used to replace herbicides, and a laboratory test was conducted to determine the best application duration. Based on this result, the maize field experiment of chemigation under plastic mulch was carried out to compare the effects of maize growth index, yield and herbicide residue for determining the optimal chemigation mode. The result shows that there is no significant difference in the application uniformity among treatments, but the leaf area index (LAI), yield, and double-ear rate of maize under continuous application (CA) were higher than those under periodic application (PA) and no application (NA) significantly. One month after the application, the acetochlor residue of the two modes was less than 1%, which would not cause pollution to the surrounding environment. And there was a significant linear regression relationship between the length of drip irrigation tape and the optimal application duration under the same acetochlor dosage. Keywords: chemigation, irrigation mode, maize, environment DOI: 10.25165/j.ijabe.20231604.7408 Citation: Wang H, Shi W P, Wang W E, Hu X T, Ling G, Wei R. An optimal chemigation duration model based on the crop and environment effects. Int J Agric & Biol Eng, 2023; 16(4): 41-50","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135659067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.25165/j.ijabe.20231604.7096
Han Tang, Changsu Xu, Jianhua Zhu, Rui Guan, Jinwu Wang
The header frame of full-feeding rice combine harvester was characterized by severe vibration due to the excitation force generated by the movement of each working part. In order to solve the problem, the parametric model of header frame was established, and the accuracy of the finite element model was verified by comparison the results of the free modal analysis and free vibration modal test based on Eigensystem Realization Algorithm (ERA). Then the constrained modal frequencies were calculated and compared with the external excitation source frequencies, the results showed that the first and eighth order modal natural frequencies were coupled with the excitation frequencies of the threshing cylinder and the engine respectively, which was apt to resonate. To avoid resonance and achieve lightweight design, topology optimization and the finite element analysis was carried out. The optimization results showed that the strength and rigidity meet the requirements and the weight was 14.17% lower than before. The first and eighth order modal natural frequencies were far away from the excitation frequencies range of threshing cylinder and engine, and the frequencies were far away from the range of each excitation frequency, which effectively avoided the occurrence of resonance. Field experiments showed that the peak value of the vibration acceleration in the three directions of the 8 measuring points of the optimized header frame was significantly reduced, which effectively reduced the vibration of the header frame during harvest. This study provides a method for obtaining the vibration characteristics of key components of agricultural machinery, and provides a reference for the weight and vibration reduction of header frame of rice, wheat, rape and other crop combine harvesters. Keywords: eigensystem realization algorithm, modal analysis, free modal test, topology optimization, lightweight, field experiment DOI: 10.25165/j.ijabe.20231604.7096 Citation: Tang H, Xu C S, Zhu J H, Guan R, Wang J W. Vibration analysis and topology optimization of the header of full-feeding rice combine harvester. Int J Agric & Biol Eng, 2023; 16(4): 96-108.
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