International Journal of Agricultural and Biological Engineering最新文献

{"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":"20 1","pages":"0"},"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}

{"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":"72 1","pages":"0"},"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}

{"title":"Vibration analysis and topology optimization of the header of full-feeding rice combine harvester","authors":"Han Tang, Changsu Xu, Jianhua Zhu, Rui Guan, Jinwu Wang","doi":"10.25165/j.ijabe.20231604.7096","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231604.7096","url":null,"abstract":"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.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135659085","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}

{"title":"Efficient harvesting of green microalgae cells by magnetic flocculated Fe3O4 nanoparticles combined with chitosan","authors":"Sifen Liu, Suping Fu, Zhongjie Wen, Xiang Wang, Tianjiu Jiang, Hongye Li","doi":"10.25165/j.ijabe.20231604.7809","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231604.7809","url":null,"abstract":"Microalgae harvesting remains a challenging step in microalgae industrialization, thereby provoking the necessity to explore sustainable and economically feasible approaches. This research investigated the use of magnetic flocculated nanoparticles in the harvesting of the common microalgae Chlorella pyrenoidosa and Scenedesmus obliquus. The results showed that magnetic flocculated nanoparticles efficiently adsorbed negatively charged microalgae cells, and a magnetic field could adsorb the magnetic flocculated nanoparticles, thereby harvesting the microalgae cells. Harvesting efficiency was remarkably increased at the optimum magnetic field strength of 0.5 T with the magnetic flocculated nanoparticles at 0.738 g/L, and microalgae broth at pH 9.0, whereas the recovery rates of both C. pyrenoidosa and S. obliquus were around 97% and the sedimentation speed of both was above 2.63 cm/min. This study exemplified the magnetic flocculated nanoparticles-based approach to effectively harvest the microalgae cells. Keywords: magnetic flocculated nanoparticles, Chlorella pyrenoidosa, Scenedesmus obliquus, recovery rate, sedimentation speed DOI: 10.25165/j.ijabe.20231604.7809 Citation: Liu S F, Fu S P, Wen Z J, Wang X, Jiang T J, Li H Y. Efficient harvesting of green microalgae cells by magnetic flocculated Fe3O4 nanoparticles combined with chitosan. Int J Agric & Biol Eng, 2023; 16(4): 215-221","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135660295","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}

{"title":"Separation and mechanical properties of residual film and soil","authors":"Yu Ren, Wensong Guo, Xufeng Wang, Can Hu, Long Wang, Xiaowei He, Jianfei Xing","doi":"10.25165/j.ijabe.20231601.7688","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231601.7688","url":null,"abstract":"","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"73 1-2","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72467358","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}

{"title":"Concurrent channel and spatial attention in Fully Convolutional Network for individual pig image segmentation","authors":"Zhiwei Hu, Hua Yang, T. Lou, Hong-Ping Yan","doi":"10.25165/j.ijabe.20231601.6528","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231601.6528","url":null,"abstract":"","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"66 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90405083","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}

{"title":"Integrating field images and microclimate data to realize multi-day ahead forecasting of maize crop coverage using CNN-LSTM","authors":"Xin Wang, Yu Yang, Xin Zhao, Min Huang, Qibing Zhu","doi":"10.25165/j.ijabe.20231602.7020","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231602.7020","url":null,"abstract":": Crop coverage (CC) is an important parameter to represent crop growth characteristics, and the ahead forecasting of CC is helpful to track crop growth trends and guide agricultural management decisions. In this study, a novel CNN-LSTM model that combined the advantages of convolutional neural network (CNN) in feature extraction and long short-term memory (LSTM) in time series processing was proposed for multi-day ahead forecasting of maize CC. Considering the influence of climate change on maize growth, five microclimatic factors were combined with historical maize CC estimated from field images as the input variables of the forecasting model. The field experimental data of four observation points for more than three years were used to evaluate the performance of CNN-LSTM at the forecasting horizon of three to seven days ahead and compared the forecasting results to CNN and LSTM. The results demonstrated that CNN-LSTM obtained the lowest RMSE and the highest R 2 at all forecasting horizons. Subsequently, the performance of CNN-LSTM under univariate (historical maize CC) and multivariate (historical maize CC+microclimatic factors) input was compared, and the results indicated that additional microclimatic factors were effective in improving the forecasting performance. Furthermore, the 3-day ahead forecasting results of CNN-LSTM in different growth stages of maize were also analyzed, and the results showed that the highest forecasting accuracy was obtained in the seven leaves stage. Therefore, CNN-LSTM can be considered a useful tool to forecast maize CC.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"31 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81512695","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}

{"title":"Experimental and numerical study on the shrinkage-deformation of carrot slices during hot air drying","authors":"Dalong Jiang, Congcong Li, Zifan Lin, Yun-tian Wu, Hongjuan Pei, M. Zielińska, Hongwei Xiao","doi":"10.25165/j.ijabe.20231601.6736","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231601.6736","url":null,"abstract":"","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"65 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81870603","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}

{"title":"Design of a fixed-pipe cold aerosol spraying system for chemical application in greenhouse","authors":"Shilin Wang, Daipeng Lu, Xue Li, Xiaohui Lei, Yuxin Tang, Xiaolan Lyu","doi":"10.25165/j.ijabe.20231601.6573","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231601.6573","url":null,"abstract":"","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"1 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89302096","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}

{"title":"Recognition of field roads based on improved U-Net++ Network","authors":"Lili Yang, Yuanbo Li, Mengshuai Chang, Yuanyuan Xu, Bingbing Hu, Xinxin Wang, Caicong Wu","doi":"10.25165/j.ijabe.20231602.7941","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231602.7941","url":null,"abstract":": Unmanned driving of agricultural machinery has garnered significant attention in recent years, especially with the development of precision farming and sensor technologies. To achieve high performance and low cost, perception tasks are of great importance. In this study, a low-cost and high-safety method was proposed for field road recognition in unmanned agricultural machinery. The approach of this study utilized point clouds, with low-resolution lidar point clouds as inputs, generating high-resolution point clouds and Bird's Eye View (BEV) images that were encoded with several basic statistics. Using a BEV representation, road detection was reduced to a single-scale problem that could be addressed with an improved U-Net++ neural network. Three enhancements were proposed for U-Net++: 1) replacing the convolutional kernel in the original U-Net++ with an Asymmetric Convolution Block (ACBlock); 2) adding a multi-branch Asymmetric Dilated Convolutional Block (MADC) in the highest semantic information layer; 3) adding an Attention Gate (AG) model to the long-skip-connection in the decoding stage. The results of experiments of this study showed that our algorithm achieved a Mean Intersection Over Union of 96.54% on the 16-channel point clouds, which was 7.35 percentage points higher than U-Net++. Furthermore, the average processing time of the model was about 70 ms, meeting the time requirements of unmanned driving in agricultural machinery. The proposed method of this study can be applied to enhance the perception ability of unmanned agricultural machinery thereby increasing the safety of field road driving.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"112 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80869022","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}