Pub Date : 2023-01-01DOI: 10.25165/j.ijabe.20231602.7917
Cihan Demir, Osman Gökdoğan
: The purpose of this study was to determine the energy use efficiency and greenhouse gas (GHG) emissions in peach production that took place in Kırklareli province of Turkey during the 2020-2021 production season. This study included calculations of energy input, energy output, energy use efficiency, specific energy, energy productivity, net energy, energy input types, GHG emissions and GHG ratio. Survey, observation and data calculations are related to the 2020-2021 production season. The data obtained from the study were collected from 16 different farms (reachable) through face-to-face surveys with full count method. Energy input and energy output were calculated as 19 570.58 MJ/hm 2 and 19 471.94 MJ/hm 2 , respectively. With regards to production inputs, 55.70% of the energy inputs consisted of chemical fertilizers energy (10 900.03 MJ/hm 2 ), 9.46% consisted of chemicals energy (1852.10 MJ/hm 2 ), 9.32% consisted of human labour energy (1823.13 MJ/hm 2 ), 7.65% consisted of electricity energy (1497.28 MJ/hm 2 ), 6.91% consisted of diesel fuel energy (1351.52 MJ/hm 2 ), 4.73% consisted of irrigation water energy (926.10 MJ/hm 2 ), 3.43% consisted of machinery energy (671.98 MJ/hm 2 ), 1.88% consisted of transportation energy (367.72 MJ/hm 2 ), 0.88% consisted of farmyard manure energy (171.80 MJ/hm 2 ) and 0.05% consisted of lime energy (8.94 MJ/hm 2 ). Energy use efficiency, specific energy, energy productivity and net energy were calculated as 0.99, 1.91 MJ/kg, 0.52 kg/MJ and –98.64 MJ/hm 2 , respectively. The consumed total energy input in production was classified as 28.60% direct energy, 71.40% indirect energy, 14.93% renewable energy and 85.07% non-renewable. Total GHG emissions and GHG ratio were calculated as 1683.24 kgCO 2-eq /hm 2 and 0.16 kg CO 2-eq /kg, respectively.
{"title":"Determination of energy use efficiency and greenhouse gas emissions in peach production","authors":"Cihan Demir, Osman Gökdoğan","doi":"10.25165/j.ijabe.20231602.7917","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231602.7917","url":null,"abstract":": The purpose of this study was to determine the energy use efficiency and greenhouse gas (GHG) emissions in peach production that took place in Kırklareli province of Turkey during the 2020-2021 production season. This study included calculations of energy input, energy output, energy use efficiency, specific energy, energy productivity, net energy, energy input types, GHG emissions and GHG ratio. Survey, observation and data calculations are related to the 2020-2021 production season. The data obtained from the study were collected from 16 different farms (reachable) through face-to-face surveys with full count method. Energy input and energy output were calculated as 19 570.58 MJ/hm 2 and 19 471.94 MJ/hm 2 , respectively. With regards to production inputs, 55.70% of the energy inputs consisted of chemical fertilizers energy (10 900.03 MJ/hm 2 ), 9.46% consisted of chemicals energy (1852.10 MJ/hm 2 ), 9.32% consisted of human labour energy (1823.13 MJ/hm 2 ), 7.65% consisted of electricity energy (1497.28 MJ/hm 2 ), 6.91% consisted of diesel fuel energy (1351.52 MJ/hm 2 ), 4.73% consisted of irrigation water energy (926.10 MJ/hm 2 ), 3.43% consisted of machinery energy (671.98 MJ/hm 2 ), 1.88% consisted of transportation energy (367.72 MJ/hm 2 ), 0.88% consisted of farmyard manure energy (171.80 MJ/hm 2 ) and 0.05% consisted of lime energy (8.94 MJ/hm 2 ). Energy use efficiency, specific energy, energy productivity and net energy were calculated as 0.99, 1.91 MJ/kg, 0.52 kg/MJ and –98.64 MJ/hm 2 , respectively. The consumed total energy input in production was classified as 28.60% direct energy, 71.40% indirect energy, 14.93% renewable energy and 85.07% non-renewable. Total GHG emissions and GHG ratio were calculated as 1683.24 kgCO 2-eq /hm 2 and 0.16 kg CO 2-eq /kg, respectively.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"18 2 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84945867","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.20231602.7797
Weizhong Yu, Jianfeng Zheng, Yingli Wang, F. Ji, Baoying Zhu
: To optimize the nutrient supply of strawberry, fertilization was reduced as much as possible on the premise of satisfying the elements needed for strawberry growth. This study put forward a modified nutrient solution formula (NM) by adjusting the ratios of N/K, K/Ca, in vegetative growth, flowering and fruiting, and fruit expanding stages based on Yamasaki strawberry nutrient solution formula (NY). Taking the NY as the control group, the NM was verified with elevated-grown ‘Ssanta’ strawberry using three different substrates (Vulcanics-added substrate, Horticultural substrate, Comme rcial substrate) in greenhouse. The results indicated that under the NM treatment, strawberry plants had better photosynthesis in the vegetative growth stage and flowering and fruiting stage, and the first crop yield and total crops yield per plant also increased by 20%. Although the vegetative growth stage was longer, it entered the full fruiting stage earlier so that the maturity stage was advanced one week. Compared to strawberries grown in horticultural substrate irrigated with NY, the fruit yield per plant of ‘Ssanta’ strawberry grown in horticultural substrate irrigated with NM increased by 26%, and the sugar-acid ratio and vitamin C content of primary fruits reached 10.6 and 74.1 mg/100g, improving by 41% and 34% respectively. The NM based on the growth stage can optimize the element needs of strawberry in all growth and development stages and maintain the substrate’s pH stability, improving the yield and quality of ‘Ssanta’ strawberry under substrate cultivation. Therefore, it is recommended to use the horticultural substrate irrigated with the modified nutrient solution for the ‘Ssanta’ strawberries cultivation elevated in greenhouse to improve the economic benefit of strawberry cultivation.
{"title":"Adjusting the nutrient solution formula based on growth stages to promote the yield and quality of strawberry in greenhouse","authors":"Weizhong Yu, Jianfeng Zheng, Yingli Wang, F. Ji, Baoying Zhu","doi":"10.25165/j.ijabe.20231602.7797","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231602.7797","url":null,"abstract":": To optimize the nutrient supply of strawberry, fertilization was reduced as much as possible on the premise of satisfying the elements needed for strawberry growth. This study put forward a modified nutrient solution formula (NM) by adjusting the ratios of N/K, K/Ca, in vegetative growth, flowering and fruiting, and fruit expanding stages based on Yamasaki strawberry nutrient solution formula (NY). Taking the NY as the control group, the NM was verified with elevated-grown ‘Ssanta’ strawberry using three different substrates (Vulcanics-added substrate, Horticultural substrate, Comme rcial substrate) in greenhouse. The results indicated that under the NM treatment, strawberry plants had better photosynthesis in the vegetative growth stage and flowering and fruiting stage, and the first crop yield and total crops yield per plant also increased by 20%. Although the vegetative growth stage was longer, it entered the full fruiting stage earlier so that the maturity stage was advanced one week. Compared to strawberries grown in horticultural substrate irrigated with NY, the fruit yield per plant of ‘Ssanta’ strawberry grown in horticultural substrate irrigated with NM increased by 26%, and the sugar-acid ratio and vitamin C content of primary fruits reached 10.6 and 74.1 mg/100g, improving by 41% and 34% respectively. The NM based on the growth stage can optimize the element needs of strawberry in all growth and development stages and maintain the substrate’s pH stability, improving the yield and quality of ‘Ssanta’ strawberry under substrate cultivation. Therefore, it is recommended to use the horticultural substrate irrigated with the modified nutrient solution for the ‘Ssanta’ strawberries cultivation elevated in greenhouse to improve the economic benefit of strawberry cultivation.","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":"81322357","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.20231602.7424
Zechen Dou, Zhihao Fang, Xiaoqiang Han, Muhammad Zeeshan, Yapeng Liu, Y. Lan
: A conventional spraying mode and a fully autonomous fruit tree operation mode using a model DJ T30 unmanned aerial vehicle (UAV) were used to control aphids control on elm trees and to clarify the distribution of droplets in elm trees sprayed by a UAV. The effects of six aviation spray adjuvants on elm canopy droplet deposition and aphid control were evaluated. ImageJ software was used to analyze and measure the droplet density and deposition of water sensitive paper in two modes; this was done to calculate the droplet uniformity, depositional penetration, and droplet penetration, and to verify the aphid control effect. The results showed that the droplet density increased by 79.7%-100.7% in the upper canopy and 0-394.1% in the lower canopy without adjuvants in the fully autonomous fruit tree operation mode. The upper canopy deposits increased by 65.7%-179.3%, and the lower canopy increased by 0-152.8%. When adjuvants were added, the droplet density in the upper canopy increased by 49.7-56.1% using Jiexiaofeng (JXF), and the lower canopy increased by 138.2%-177.8% using JXF, 45.8%-141.3% using Beidatong (BDT), 45.5%-92.9% using Gongbei (GB), 0-93.5% using Maisi (MS), and 0-95.2% using Manniu (MN). The deposits of the upper canopy increased by 888.1-1 154.2% using JXF, 0-1 298.3% using MN, 0-343.9% using BDT, 0-422.5% using GB, 0-580.3% using MS. The lower canopy increased by 746.4%-1 426.0% using JXF, 226.2%- 231.0% using BDT, 435.8%-644.0% using GB, 255.0%-322.4% using MS, and 249.3%-360.0% using MN. When JXF was added, the droplet uniformity, droplet penetration and depositional penetration were better than when using other adjuvants. The effects of JXF, BDT and GB in controlling aphids was significantly better than other adjuvants ( p <0.05). The following control effects were observed; 94.1% with JXF, 93.1% with BDT, and 93.3% with GB after 3 d of application, and 97.9% with JXF, 95.6% with BDT, and 97.1% with GB after 7 d of application. At the same time, the application of the fully autonomous fruit tree operation mode and JXF can effectively improve the density and deposits, which will produce a superposition optimization effect. Our study focuses on the prevention and control of elm aphid infestations based on the operation mode of a UAV and aviation spray adjuvants, which can provide a baseline for the control of diseases and insect pests using UAVs in agriculture and forestry.
{"title":"Effects of spray adjuvants and operation modes on droplet deposition and elm aphid control using an unmanned aerial vehicle","authors":"Zechen Dou, Zhihao Fang, Xiaoqiang Han, Muhammad Zeeshan, Yapeng Liu, Y. Lan","doi":"10.25165/j.ijabe.20231602.7424","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231602.7424","url":null,"abstract":": A conventional spraying mode and a fully autonomous fruit tree operation mode using a model DJ T30 unmanned aerial vehicle (UAV) were used to control aphids control on elm trees and to clarify the distribution of droplets in elm trees sprayed by a UAV. The effects of six aviation spray adjuvants on elm canopy droplet deposition and aphid control were evaluated. ImageJ software was used to analyze and measure the droplet density and deposition of water sensitive paper in two modes; this was done to calculate the droplet uniformity, depositional penetration, and droplet penetration, and to verify the aphid control effect. The results showed that the droplet density increased by 79.7%-100.7% in the upper canopy and 0-394.1% in the lower canopy without adjuvants in the fully autonomous fruit tree operation mode. The upper canopy deposits increased by 65.7%-179.3%, and the lower canopy increased by 0-152.8%. When adjuvants were added, the droplet density in the upper canopy increased by 49.7-56.1% using Jiexiaofeng (JXF), and the lower canopy increased by 138.2%-177.8% using JXF, 45.8%-141.3% using Beidatong (BDT), 45.5%-92.9% using Gongbei (GB), 0-93.5% using Maisi (MS), and 0-95.2% using Manniu (MN). The deposits of the upper canopy increased by 888.1-1 154.2% using JXF, 0-1 298.3% using MN, 0-343.9% using BDT, 0-422.5% using GB, 0-580.3% using MS. The lower canopy increased by 746.4%-1 426.0% using JXF, 226.2%- 231.0% using BDT, 435.8%-644.0% using GB, 255.0%-322.4% using MS, and 249.3%-360.0% using MN. When JXF was added, the droplet uniformity, droplet penetration and depositional penetration were better than when using other adjuvants. The effects of JXF, BDT and GB in controlling aphids was significantly better than other adjuvants ( p <0.05). The following control effects were observed; 94.1% with JXF, 93.1% with BDT, and 93.3% with GB after 3 d of application, and 97.9% with JXF, 95.6% with BDT, and 97.1% with GB after 7 d of application. At the same time, the application of the fully autonomous fruit tree operation mode and JXF can effectively improve the density and deposits, which will produce a superposition optimization effect. Our study focuses on the prevention and control of elm aphid infestations based on the operation mode of a UAV and aviation spray adjuvants, which can provide a baseline for the control of diseases and insect pests using UAVs in agriculture and forestry.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"2 2","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72389083","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}
: Rice is one of the major crops in China, and enhancing the rice yield and water use efficiency is critical to ensuring food security in China. Determining how to optimize a scientific and efficient irrigation and drainage scheme by combining existing technology is currently a hot topic. Crop growth models can be used to assess actual or proposed water management regimes intended to increase water use efficiency and mitigate water shortages. In this study, a CERES-Rice model was calibrated and validated using a two-year field experiment. Four irrigation and drainage treatments were designed for the experiment: alternate wetting and drying (AWD), controlled drainage (CD), controlled irrigation and drainage for a low water level (CID1), and controlled irrigation and drainage for a high water level (CID2). According to the indicators normalized root mean square error (NRMSE) and index of agreement ( d ), the calibrated CERES-Rice model accurately predicted grain yield (NRMSE=6.67%, d =0.77), , shoot biomass (NRMSE=3.37%, d =0.77), actual evapotranspiration ( ET a ) (NRMSE=3.83%, d =0.74), irrigation volume (NRMSE=15.56%, d =0.94), and leaf area index (NRMSE=9.69%, d =0.98) over 2 a. The calibrated model was subsequently used to evaluate rice production in response to the four treatments (AWD, CD, CID1, and CID2) under 60 meteorological scenarios which were divided into wet years (22 a), normal years (16 a), and dry years (22 a). Results showed that the yield of AWD was the largest among four treatments in different hydrological years. Relative to that of AWD, the yield of CD, CID1, and CID2 were respectively reduced by 5.7%, 2.6%, 8.7% in wet years, 9.2%, 2.3%, 8.6% in normal years, and 9.2%, 3.8%, 3.9% in dry years. However, rainwater use efficiency and irrigation water use efficiency were the greatest for CID2 in different hydrological years. The entropy-weighting TOPSIS model was used to optimize the four water-saving irrigation schemes in terms of water-saving, labor-saving and high-yield, based on the simulation results of the CERES-Rice model in the past 60 a. These results showed that CID1 and AWD were optimal in the wet years, CID1 and CID2 were optimal in the normal and dry years. These results may provide a strong scientific basis for the optimization of water-saving irrigation technology for rice.
水稻是中国的主要作物之一，提高水稻产量和水分利用效率对确保中国的粮食安全至关重要。如何结合现有技术优化科学高效的排灌方案是当前研究的热点问题。作物生长模型可用于评估旨在提高用水效率和缓解水资源短缺的实际或拟议的水资源管理制度。在这项研究中，CERES-Rice模型通过为期两年的田间试验进行了校准和验证。试验设计4种灌排处理:干湿交替(AWD)、控制排水(CD)、低水位控制灌排(CID1)和高水位控制灌排(CID2)。根据归一化均方根误差(NRMSE)和一致性指数(d)，校正后的CERES-Rice模型准确预测了2 a内的籽粒产量(NRMSE=6.67%， d =0.77)、茎部生物量(NRMSE=3.37%， d =0.77)、实际蒸散量(ET a) (NRMSE=3.83%， d =0.74)、灌水量(NRMSE=15.56%， d =0.94)和叶面积指数(NRMSE=9.69%， d =0.98)。CID1和CID2)在60个气象情景下，分为湿润年(22 a)、正常年(16 a)和干旱年(22 a)。结果表明，在不同水文年的4个处理中，AWD产量最大。与AWD相比，CD、CID1和CID2的产量在丰水年分别降低5.7%、2.6%、8.7%，在平水年分别降低9.2%、2.3%、8.6%，在干旱年分别降低9.2%、3.8%、3.9%。但不同水文年CID2的雨水利用效率和灌溉水利用效率均最高。以CERES-Rice模型近60 a的模拟结果为基础，利用熵权TOPSIS模型对4种节水灌溉方案在节水、省力和高产方面进行优化。结果表明，CID1和AWD方案在丰水年最优，CID1和CID2方案在丰水年和干旱年最优。研究结果可为优化水稻节水灌溉技术提供有力的科学依据。
{"title":"Optimizing water-saving irrigation schemes for rice (Oryza sativa L.) using DSSAT-CERES-Rice model","authors":"Shikai Gao, Qiongqiong Gu, X. Gong, Yanbin Li, Shao-feng Yan, Yuanyuan Li","doi":"10.25165/j.ijabe.20231602.7361","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231602.7361","url":null,"abstract":": Rice is one of the major crops in China, and enhancing the rice yield and water use efficiency is critical to ensuring food security in China. Determining how to optimize a scientific and efficient irrigation and drainage scheme by combining existing technology is currently a hot topic. Crop growth models can be used to assess actual or proposed water management regimes intended to increase water use efficiency and mitigate water shortages. In this study, a CERES-Rice model was calibrated and validated using a two-year field experiment. Four irrigation and drainage treatments were designed for the experiment: alternate wetting and drying (AWD), controlled drainage (CD), controlled irrigation and drainage for a low water level (CID1), and controlled irrigation and drainage for a high water level (CID2). According to the indicators normalized root mean square error (NRMSE) and index of agreement ( d ), the calibrated CERES-Rice model accurately predicted grain yield (NRMSE=6.67%, d =0.77), , shoot biomass (NRMSE=3.37%, d =0.77), actual evapotranspiration ( ET a ) (NRMSE=3.83%, d =0.74), irrigation volume (NRMSE=15.56%, d =0.94), and leaf area index (NRMSE=9.69%, d =0.98) over 2 a. The calibrated model was subsequently used to evaluate rice production in response to the four treatments (AWD, CD, CID1, and CID2) under 60 meteorological scenarios which were divided into wet years (22 a), normal years (16 a), and dry years (22 a). Results showed that the yield of AWD was the largest among four treatments in different hydrological years. Relative to that of AWD, the yield of CD, CID1, and CID2 were respectively reduced by 5.7%, 2.6%, 8.7% in wet years, 9.2%, 2.3%, 8.6% in normal years, and 9.2%, 3.8%, 3.9% in dry years. However, rainwater use efficiency and irrigation water use efficiency were the greatest for CID2 in different hydrological years. The entropy-weighting TOPSIS model was used to optimize the four water-saving irrigation schemes in terms of water-saving, labor-saving and high-yield, based on the simulation results of the CERES-Rice model in the past 60 a. These results showed that CID1 and AWD were optimal in the wet years, CID1 and CID2 were optimal in the normal and dry years. These results may provide a strong scientific basis for the optimization of water-saving irrigation technology for rice.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"18 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80974723","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.20231603.7455
Dong Dai, Du Chen, Xu Mao, Yawei Zhang, Yutong Li, Shumao Wang, Bin Zhang
The real-time monitoring of the load in farming by the sensor installed on the tractor's three-point hitch can effectively improve the farming efficiency and force-position combined control, reduce the compaction risk of the wheel on the soil and reduce the fuel consumption in farming process. However, the measurement and quantification of the loads on the three-point hitch have some problems remaining unresolved: testing the accuracy and reliability of a load measuring system is hard when the tractor works in a field, the mathematical model of spatial forces usually lacks a practical and effective validation, and the calibration process of the measurement system is inconvenient and incomplete while easily causing a low accuracy. Specifically, this paper builds a new spatial-force mathematical model based on the geometry of a three-point hitch. To eliminate the discrepancy of the geometric model with the actual structure and to refine the mathematical model, a calibration process is conducted by developing a calibration bench, which is equipped with a data acquisition system and a multi-parameter monitoring interface. The three-point hitch installed on this calibration bench is subject to steady-state loading. The loading force, angle of the lower drawbar, and three-component forces (three shaft pin sensors’ forces) of the three-point hitch are well measured. With applying for the measured data to calibrate the theoretical mathematic model eventually derives the resultant force from all the three-component forces, a dynamical loading bench was developed to test the calculated resultant force for the three-point hitch during the sinusoidal and randomly variant dynamical loadings tests. A hitch force measurement system is also developed to collect real-time data and calculate the resultant force of measured three-component forces through the calibrated mathematical model. The results of the dynamical loading tests show that the average relative error MRE=1.09% with an average force measurement time delay being Δt=0.5 s, the root mean square error RMSE=59.3 N, and the coefficient of determination R2=0.9903. As observed, the shape and the trend of the generated resultant force curve are basically the dynamical loading force. The dynamical loading test proves the high efficacy and reliability of the proposed indoor calibration method for calculating the load based on the three-component forces as measured on the three-point hitch. Besides, the preliminary study of the proposed method on the hitch load provides great potential to improve the indoor six-component measurement and quantification of both the force and momentum acting on the three-point hitch. Keywords: tractor, three-point hitch, hitch force calibration bench, hitch force measurement system, dynamic loading verification method DOI: 10.25165/j.ijabe.20231603.7455 Citation: Dai D, Chen D, Mao X, Zhang Y W, Li Y T, Wang S M, et al. Design and performance analysis of indoor calibration device
{"title":"Design and performance analysis of indoor calibration device for the force-measuring system of the tractor three-point hitch","authors":"Dong Dai, Du Chen, Xu Mao, Yawei Zhang, Yutong Li, Shumao Wang, Bin Zhang","doi":"10.25165/j.ijabe.20231603.7455","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231603.7455","url":null,"abstract":"The real-time monitoring of the load in farming by the sensor installed on the tractor's three-point hitch can effectively improve the farming efficiency and force-position combined control, reduce the compaction risk of the wheel on the soil and reduce the fuel consumption in farming process. However, the measurement and quantification of the loads on the three-point hitch have some problems remaining unresolved: testing the accuracy and reliability of a load measuring system is hard when the tractor works in a field, the mathematical model of spatial forces usually lacks a practical and effective validation, and the calibration process of the measurement system is inconvenient and incomplete while easily causing a low accuracy. Specifically, this paper builds a new spatial-force mathematical model based on the geometry of a three-point hitch. To eliminate the discrepancy of the geometric model with the actual structure and to refine the mathematical model, a calibration process is conducted by developing a calibration bench, which is equipped with a data acquisition system and a multi-parameter monitoring interface. The three-point hitch installed on this calibration bench is subject to steady-state loading. The loading force, angle of the lower drawbar, and three-component forces (three shaft pin sensors’ forces) of the three-point hitch are well measured. With applying for the measured data to calibrate the theoretical mathematic model eventually derives the resultant force from all the three-component forces, a dynamical loading bench was developed to test the calculated resultant force for the three-point hitch during the sinusoidal and randomly variant dynamical loadings tests. A hitch force measurement system is also developed to collect real-time data and calculate the resultant force of measured three-component forces through the calibrated mathematical model. The results of the dynamical loading tests show that the average relative error MRE=1.09% with an average force measurement time delay being Δt=0.5 s, the root mean square error RMSE=59.3 N, and the coefficient of determination R2=0.9903. As observed, the shape and the trend of the generated resultant force curve are basically the dynamical loading force. The dynamical loading test proves the high efficacy and reliability of the proposed indoor calibration method for calculating the load based on the three-component forces as measured on the three-point hitch. Besides, the preliminary study of the proposed method on the hitch load provides great potential to improve the indoor six-component measurement and quantification of both the force and momentum acting on the three-point hitch. Keywords: tractor, three-point hitch, hitch force calibration bench, hitch force measurement system, dynamic loading verification method DOI: 10.25165/j.ijabe.20231603.7455 Citation: Dai D, Chen D, Mao X, Zhang Y W, Li Y T, Wang S M, et al. Design and performance analysis of indoor calibration device ","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"18 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":"135357312","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}
Irrigation has a significant impact on NxO (N2O and NO) emissions from cultivated land, yet the N2O or NO emission among the irrigation lower limits under different irrigation modes has not been well compared. In an irrigated lettuce field, three DR (drip irrigation) lower limits were designed, including 75% (DR1), 65% (DR2) and 55% (DR3) field capacity, and one FI (furrow irrigation) lower limit (65% field capacity). The N2O and NO emission fluxes and soil nitrogen (N) forms were determined, and the linear correlation between these indicators was analyzed. Results showed that under the same irrigation regime, the N2O and NO emissions from furrow irrigation treatment increased by 36.8% and 45.2% respectively compared to that from drip irrigation treatment. The cumulative N2O and NO emissions under DR3 were 30.2% and 28.6% higher than under DR1, respectively. Moreover, DR1 was also the lowest among the four treatments in soil NO3--N concentration. The N2O and NO emission fluxes were more correlated to soil NH4+-N (r=0.88 and 0.76) or NO2--N (r=0.90 and 0.80) concentration than soil NO3--N and soluble organic N, indicating that N2O and NO were mainly produced by the soil nitrification process. When the irrigation regime was the same, N2O and NO emissions were lower with drip irrigation than with furrow irrigation. Besides, drip irrigation with small quota but high frequency reduced N2O and NO emission compared to that with large quota but low frequency. Keywords: nitrous oxide, nitric oxide, drip irrigation, furrow irrigation, soil nitrogen DOI: 10.25165/j.ijabe.20231604.7961 Citation: Hou M M, Xiao Y, Zhu Q Y, Chen J N, Huang H, Jin Q, et al. NxO emissions in response to the irrigation lower limits under different irrigation modes in a lettuce field. Int J Agric & Biol Eng, 2023; 16(4): 159–167.
{"title":"NxO emissions in response to the irrigation lower limits under different irrigation modes in a lettuce field","authors":"Maomao Hou, Ying Xiao, Qinyuan Zhu, Jingnan Chen, Huan Huang, Qiu Jin, Lin Zhu, Fenglin Zhong","doi":"10.25165/j.ijabe.20231604.7961","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231604.7961","url":null,"abstract":"Irrigation has a significant impact on NxO (N2O and NO) emissions from cultivated land, yet the N2O or NO emission among the irrigation lower limits under different irrigation modes has not been well compared. In an irrigated lettuce field, three DR (drip irrigation) lower limits were designed, including 75% (DR1), 65% (DR2) and 55% (DR3) field capacity, and one FI (furrow irrigation) lower limit (65% field capacity). The N2O and NO emission fluxes and soil nitrogen (N) forms were determined, and the linear correlation between these indicators was analyzed. Results showed that under the same irrigation regime, the N2O and NO emissions from furrow irrigation treatment increased by 36.8% and 45.2% respectively compared to that from drip irrigation treatment. The cumulative N2O and NO emissions under DR3 were 30.2% and 28.6% higher than under DR1, respectively. Moreover, DR1 was also the lowest among the four treatments in soil NO3--N concentration. The N2O and NO emission fluxes were more correlated to soil NH4+-N (r=0.88 and 0.76) or NO2--N (r=0.90 and 0.80) concentration than soil NO3--N and soluble organic N, indicating that N2O and NO were mainly produced by the soil nitrification process. When the irrigation regime was the same, N2O and NO emissions were lower with drip irrigation than with furrow irrigation. Besides, drip irrigation with small quota but high frequency reduced N2O and NO emission compared to that with large quota but low frequency. Keywords: nitrous oxide, nitric oxide, drip irrigation, furrow irrigation, soil nitrogen DOI: 10.25165/j.ijabe.20231604.7961 Citation: Hou M M, Xiao Y, Zhu Q Y, Chen J N, Huang H, Jin Q, et al. NxO emissions in response to the irrigation lower limits under different irrigation modes in a lettuce field. Int J Agric & Biol Eng, 2023; 16(4): 159–167.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"27 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":"135660289","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}
Changes in various states of water in ursolic acid (UA) loaded chitosan nanoparticles were assessed using low-field nuclear magnetic resonance (LF-NMR) during microwave freeze drying (MFD) process, and six thin-layer models were applied to simulate the drying kinetics. UA nanoparticles were dried at different microwave power densities (1 W/g, 2 W/g and 4 W/g). The results showed that three water fractions with different transverse relaxation times (T2) were detected in fresh UA nanoparticles. The T2 relaxation time of water decreased significantly with the increase of drying time at different microwave power densities. And the mutual migration and transformation of water in different states during the drying process of chitosan nanoparticles occurred. Furthermore, mathematical model analysis showed that the Page model provided the best description during the process of UA nanoparticle dried by MFD. The Page model can better simulate the drying kinetics of chitosan nanoparticles dried by MFD, and LF-NMR technology can monitor the changes in water status of UA nanoparticles. The results revealed that LF-NMR can monitor the changes of water in UA nanoparticles during the drying process. Keywords: microwave, drying, chitosan nanoparticles, water distribution DOI: 10.25165/j.ijabe.20231604.7519 Citation: Ren X, Duan X, Cao W W, Zhao L J, Ren G Y, Liu P P. Drying curve simulation and LF-NMR online monitor of water state in ursolic acid loaded chitosan nanoparticles during microwave freeze drying. Int J Agric & Biol Eng, 2023; 16(4): 263－268.
{"title":"Drying curve simulation and LF-NMR online monitor of water state in ursolic acid loaded chitosan nanoparticles during microwave freeze drying","authors":"Xing Ren, Xu Duan, Weiwei Cao, Lujie Zhao, Guangyue Ren, Panpan Liu","doi":"10.25165/j.ijabe.20231604.7519","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231604.7519","url":null,"abstract":"Changes in various states of water in ursolic acid (UA) loaded chitosan nanoparticles were assessed using low-field nuclear magnetic resonance (LF-NMR) during microwave freeze drying (MFD) process, and six thin-layer models were applied to simulate the drying kinetics. UA nanoparticles were dried at different microwave power densities (1 W/g, 2 W/g and 4 W/g). The results showed that three water fractions with different transverse relaxation times (T2) were detected in fresh UA nanoparticles. The T2 relaxation time of water decreased significantly with the increase of drying time at different microwave power densities. And the mutual migration and transformation of water in different states during the drying process of chitosan nanoparticles occurred. Furthermore, mathematical model analysis showed that the Page model provided the best description during the process of UA nanoparticle dried by MFD. The Page model can better simulate the drying kinetics of chitosan nanoparticles dried by MFD, and LF-NMR technology can monitor the changes in water status of UA nanoparticles. The results revealed that LF-NMR can monitor the changes of water in UA nanoparticles during the drying process. Keywords: microwave, drying, chitosan nanoparticles, water distribution DOI: 10.25165/j.ijabe.20231604.7519 Citation: Ren X, Duan X, Cao W W, Zhao L J, Ren G Y, Liu P P. Drying curve simulation and LF-NMR online monitor of water state in ursolic acid loaded chitosan nanoparticles during microwave freeze drying. Int J Agric & Biol Eng, 2023; 16(4): 263－268.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"10 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":"135660296","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}
: Existing development for cyclone separation cleaning components of the rapeseed combine harvester, which employs the suspending airflow to separate the rapeseeds from the materials other than grain (MOG), has the challenge to figure out the optimal working parameters, highlighting a need for exploration of the invisible airflow based on Computational Fluid Dynamics (CFD). The airflow status was mainly affected by the air velocities of the inlet, and the outlet for the MOG. The single factor and response surface experiments were carried out. It could be found that the inlet and MOG outlet velocities affected the air velocities through the change in the air quantity. Furthermore, the mathematical model of the relationship between the air velocities inside the cyclone and the working parameters was built, and the optimal combination of working parameters was obtained by multi-objective optimization. The inlet and outlet velocities of the optimal combination were 4.25 m/s and 29.87 m/s, respectively. Under this condition, the cleaning ratio and loss ratio of the cleaning device was 94.62% and 5.39%, respectively, as validated by the field experiment. The findings provide references for the improvement of cleaning systems for rapeseed combine harvesters.
{"title":"Effects of working parameters on the performance of cyclone separator for rapeseed combine harvester based on CFD","authors":"Xingyu Wan, Jiacheng Yuan, Jia Yang, Yitao Liao, Qingxi Liao","doi":"10.25165/j.ijabe.20231601.7253","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231601.7253","url":null,"abstract":": Existing development for cyclone separation cleaning components of the rapeseed combine harvester, which employs the suspending airflow to separate the rapeseeds from the materials other than grain (MOG), has the challenge to figure out the optimal working parameters, highlighting a need for exploration of the invisible airflow based on Computational Fluid Dynamics (CFD). The airflow status was mainly affected by the air velocities of the inlet, and the outlet for the MOG. The single factor and response surface experiments were carried out. It could be found that the inlet and MOG outlet velocities affected the air velocities through the change in the air quantity. Furthermore, the mathematical model of the relationship between the air velocities inside the cyclone and the working parameters was built, and the optimal combination of working parameters was obtained by multi-objective optimization. The inlet and outlet velocities of the optimal combination were 4.25 m/s and 29.87 m/s, respectively. Under this condition, the cleaning ratio and loss ratio of the cleaning device was 94.62% and 5.39%, respectively, as validated by the field experiment. The findings provide references for the improvement of cleaning systems for rapeseed combine harvesters.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"43 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86430322","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}
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