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Automatic travelling of agricultural support robot for a fruit farm -Verification of effectiveness of RTK-GNSS and developed simulator for specification design 果园农业辅助机器人自动行走——RTK-GNSS有效性验证及规格设计模拟器开发
IF 1.8 4区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2023-02-02 DOI: 10.4081/jae.2023.1355
Ren Hiraoka, Yuya Aoyagi, Kazuki Kobayashi
Labour shortages and fatal accidents in agricultural work have recently emerged as critical problems in Japan, necessitating productivity enhancement, workload reduction, and safety assurance. Therefore, in Japan and countries with similar agricultural environments, the use of small and inexpensive agricultural robots that can be used in mountain farms and orchards is desirable. In this study, a dynamic positioning test was performed in orchards in a mountainous region to verify the positioning accuracy and stability of the Global Navigation Satellite System (GNSS) and real time kinematic (RTK)-GNSS. In addition, a simulator for an agricultural robot that could consider the environmental information of orchards was developed, and driving tests were conducted using the GNSS data acquired in the simulation. The error of the GNSS module was set to be higher than that for the measured value, and robot travelling in the orchard was simulated. The results of GNSS positioning tests in an orchard near a mountainous area indicate that in the specific environmental conditions, the RTK-GNSS and stand-alone (SA)-GNSS can attain a positioning accuracy with an order of tens of centimetres and few metres, respectively. Moreover, the simulation results based on the GNSS positioning results indicate that a vehicle implementing RTK-GNSS and a simple obstacle detection sensor can travel autonomously in a farmyard without colliding with the tree rows. In contrast, a vehicle implementing SA-GNSS and a simple obstacle detection sensor cannot drive autonomously in an orchard and must realise self-positioning using a more accurate sensor. Therefore, the proposed approach of realising simulations of autonomous agricultural robots based on GNSS data from a real orchard can facilitate the evaluation of practical agricultural robots and confirming safety traveling root. The results demonstrate the possibility of development of small agricultural robot for orchards. We conducted the GNSS positioning test in an orchard at an altitude of approximately 830 m, and a similar performance can be expected under similar agricultural situations because the error of the GNSS module was set to be higher than the measured value in driving simulation test.
劳动力短缺和农业工作中的致命事故最近成为日本的关键问题,需要提高生产力、减少工作量和确保安全。因此,在日本和具有类似农业环境的国家,使用小型和廉价的农业机器人,可以在山地农场和果园使用是可取的。为了验证全球导航卫星系统(GNSS)和实时运动学(RTK)-GNSS的定位精度和稳定性,本研究在山区果园进行了动态定位试验。此外,开发了可考虑果园环境信息的农业机器人模拟器,并利用模拟中获取的GNSS数据进行了驾驶测试。将GNSS模块的误差设置为高于实测值的误差,模拟机器人在果园中的行走。在山区附近果园进行的GNSS定位试验结果表明,在特定的环境条件下,RTK-GNSS和单机(SA)-GNSS的定位精度分别可以达到几十厘米和几米的数量级。此外,基于GNSS定位结果的仿真结果表明,采用RTK-GNSS和简单障碍物检测传感器的车辆可以在农家院中自主行驶,而不会与树行发生碰撞。相比之下,采用SA-GNSS和简单障碍物检测传感器的车辆无法在果园中自主行驶,必须使用更精确的传感器实现自我定位。因此,本文提出的基于真实果园GNSS数据实现自主农业机器人仿真的方法,有助于对实际农业机器人进行评估,确认安全行驶。研究结果表明,开发果园小型农业机器人是可行的。我们在海拔约830m的果园中进行了GNSS定位测试,在类似的农业情况下,由于在驾驶模拟测试中设置了GNSS模块的误差高于实测值,因此可以预期具有类似的性能。
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引用次数: 0
Reuse of livestock waste for the reinforcement of rammed-earth materials: investigation on mechanical performances 畜禽废弃物在夯土材料加固中的再利用:力学性能研究
IF 1.8 4区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2023-02-02 DOI: 10.4081/jae.2023.1434
M. Parlato, C. Rivera-Gómez, S. Porto
Agricultural wastes as additive within raw earth materials could both improve mechanical and physical properties of new sustainable construction materials and enhance waste management in a circular economy perspective. This study intends to fill the lack of knowledge considering the mechanical effects of animal fibers on rammed earth materials. The effects of a livestock waste, i.e., sheep wool fiber (SWF), as reinforcing element in building components produced by using raw earth and lime-free mortars, have been evaluated. Linear shrinkage, flexural strength, and compressive strength were evaluated on samples incorporating SWF, with the aim of assessing the effects of this waste addition on the mechanical performances of a new bio-composite material. The samples were made by varying the content of wool (0.25 % or 0.50%weight) and the length of the fibers (from 10 mm to 40 mm). The best result of the flexural strength was 1.06 MPa, exhibited by samples made with the longest and highest percentage of fibers, 40 mm and 0.50%, respectively. The addition of SWF to adobe bricks changed their failure mode, from fragile to ductile, reduced dry density and shrinkage rate.
农业废弃物作为原料土材料的添加剂,既可以改善新型可持续建筑材料的机械和物理性能,又可以从循环经济的角度加强废弃物管理。本研究旨在填补动物纤维对夯土材料力学效应的认识不足。禽畜废物,即羊毛纤维(SWF),作为由生土和无石灰砂浆生产的建筑构件的增强元素,其影响已经进行了评估。在加入SWF的样品上评估了线性收缩率、弯曲强度和抗压强度,目的是评估这种废物添加对新型生物复合材料机械性能的影响。样品是通过改变羊毛含量(0.25%或0.50%重量)和纤维长度(从10毫米到40毫米)制成的。当纤维掺入量最大、纤维掺入量最大时,纤维掺入量分别为40 mm和0.50%,其抗折强度达到1.06 MPa。SWF的加入改变了土坯砖的破坏模式,由脆性变为延性,降低了干密度和收缩率。
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引用次数: 1
Hydrologic performance assessment of nature-based solutions: a case study in North-eastern Italy 基于自然的解决方案的水文性能评估:意大利东北部的案例研究
IF 1.8 4区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2023-02-02 DOI: 10.4081/jae.2023.1485
Tommaso Baggio, Francesco Bettella, L. Bortolini, V. D’Agostino
The consequences of climate change are exacerbated by land-use changes, which influence the rainfall-runoff relations and consequently the flood risk. Effectively, urbanization is steadily contributing to the increase of impervious areas and reducing the time-to-peak. The effect of Nature Based Solutions (NBSs) on the mitigation of these phenomena is recognized. Nevertheless, these kinds of sustainable infrastructures are still barely known and scarcely adopted in many parts of the European Countries. The LIFE BEWARE project aims to enhance hydraulic safety and spread good practices in rainwater management by promoting and facilitating the adoption of NBSs in the Altovicentino area (Northern Vicenza Province, Veneto Region, Italy). To support the dissemination activities, some full-scale NBSs have been created within the municipality areas involved in the project. The hydrological impact of the structures is continuously monitored thanks to the installation of devices measuring inlet and outlet runoff, and rainfall pattern. This study aims to analyse the monitoring data of the first two years of the built NBSs. Results show that the structures managed almost all the water runoff through processes of infiltration and retention, providing additional insights into understanding the real behaviour of NBSs exposed to the specific environmental conditions of a very rainy foothills area. In particular, mean rain intensity and rainfall duration are the variables that mostly affected the structure performance, especially for events prolonged over time (2-3 days) with mean rainfall intensity in the range of 2-3 mm/h. Therefore, the overall outcomes from this analysis resulted as being useful to improve the design of NBSs and further promote their installation in urban areas.
土地利用变化加剧了气候变化的后果,影响了降雨-径流关系,从而增加了洪水风险。实际上,城市化正在稳步推动不透水面积的增加,并缩短了到达峰值的时间。认识到基于自然的解决方案对缓解这些现象的影响。然而,这些可持续的基础设施在欧洲国家的许多地方仍然很少为人所知,也很少采用。LIFE谨防项目旨在通过在Altovicentino地区(意大利威尼托大区维琴察省北部)推广和促进nss的采用,加强水力安全,传播雨水管理的良好做法。为了支持传播活动,在参与项目的城市地区内建立了一些全面的国家统计局。由于安装了测量入口和出口径流和降雨模式的设备,因此可以持续监测结构的水文影响。本研究旨在分析已建成的国家统计局前两年的监测数据。结果表明,这些结构通过渗透和保留过程管理了几乎所有的水径流,这为理解nbs暴露于多雨丘陵地区特定环境条件下的真实行为提供了额外的见解。特别是,平均降雨强度和降雨持续时间是影响结构性能的主要变量,特别是随着时间的推移(2-3天),平均降雨强度在2-3毫米/小时范围内的事件。因此,该分析的总体结果有助于改进nbs的设计,并进一步促进其在城市地区的安装。
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引用次数: 0
Effect of Machine and Crop Parameters on Paddy (Oryza sativa) Threshing using Axial Flow Thresher 轴流脱粒机对水稻脱粒的机械参数和作物参数影响
IF 1.8 4区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2023-01-01 DOI: 10.52151/jae2022593.1778
India is one of the largest rice producers in the world, contributing 20% to global rice production. In Central India, Madhya Pradesh recently started rice production after the failure of soybean. Paddy harvesting in Madhya Pradesh is mostly done by manual labour, and threshing is done by electric or tractor-operated threshers. To minimize threshing losses, proper combination operational parameter conditions for thresher are to be known. In this study, performance evaluation of tractor-operated axial flow paddy thresher was conducted at JNKVV Research farm Jabalpur at 3 feeding rates (1750, 1800, 1850 kg.h-1), 3 cylinder speeds (456, 536, 610 rev.min-1), and 3 paddy moisture contents [12, 14, 16% (d. b.)] for 3 different varieties (Kranti, JR-81, PS-5) of paddy. The thresher gave best results at 610 rev.min-1 cylinder speed, 1,850 kg.h-1 feed rate, and 12% grain moisture. Kranti variety had 98.54% threshing efficiency, 97.93% cleaning efficiency, and 0.13% broken grain. With JR-81 variety, the thresher could operate with 98.40% optimum threshing efficiency, 97.39% cleaning efficiency, and 0.67% broken grain. Similarly, the threshing performance of PS-5 variety was 98.0% threshing efficiency, 98.61% cleaning efficiency, and 0.4% broken grain percentage. Significant effect of different experimented varieties was not observed in threshing and cleaning efficiencies. However, lowest broken grain percentage in Kranti variety might be due to minimum grain length as compared to the other two varieties.
印度是世界上最大的大米生产国之一,占全球大米产量的20%。在印度中部的中央邦,大豆歉收后,最近开始了水稻生产。中央邦的水稻收割主要靠体力劳动,脱粒则由电动或拖拉机操作的脱粒机完成。为了尽量减少脱粒损失,必须知道脱粒机的适当组合操作参数条件。本研究在JNKVV研究农场Jabalpur对3个不同品种(Kranti, JR-81, PS-5)的水稻,在3种进料速率(1750,1800,1850 kg.h-1), 3种滚筒转速(456,536,610 rev.min-1)和3种含水量[12.14,14%,16% (d - b)]下,对拖拉机驱动轴流水稻脱粒机进行了性能评价。脱粒机在610转/分钟-1的滚筒转速、1850公斤/小时-1的进料速率和12%的水分条件下效果最好。Kranti品种脱粒率为98.54%,清粒率为97.93%,碎粒率为0.13%。JR-81品种的最佳脱粒率为98.40%,清粒率为97.39%,破碎率为0.67%。PS-5的脱粒率为98.0%,清粒率为98.61%,碎粒率为0.4%。不同试验品种对脱粒效率和清粒效率影响不显著。然而,与其他两个品种相比,克兰蒂品种的碎粒率最低可能是由于粒长最小。
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引用次数: 0
Runoff Prediction of Bharathapuzha River Basin using Artificial Neural Network and SWAT Model 基于人工神经网络和SWAT模型的巴拉塔普扎河流域径流预测
IF 1.8 4区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2023-01-01 DOI: 10.52151/jae2022594.1791
An attempt was made to model the non-linear system of rainfall-runoff process from Bharathapuzha River basin using an information processing paradigm, Artificial Neural Network (ANN). The results were compared with the outputs of the semi-distributed, physically-based SWAT (Soil and Water Assessment Tool) model. The ANN modelling was done using back propagation learning algorithm, tan sigmoid transfer function, and model input strategy having rainfall and other climatic variables as input by assigning number of layers as 5, 10, 15, 20, 25, 30, and 40. Different models were evaluated with respect to coefficient of correlation (r), coefficient of determination (R2 ), and root mean square error (RMSE). Among the ANN models, ANN-BP-A-5 (six input variables, 5 hidden layers) performed best, followed by ANN-BP-A40 (six input variables, 40 hidden layers). Comparison of ANN predicted runoff of the best models (ANN-BP-A-5 and ANNBP-A40) with the SWAT predicted runoff revealed that the simulated runoff using SWAT was more correlated to observed runoff than ANN predicted runoff. The ANN models underestimated the flow during the rainy season, and gave an overestimation during the summer season. However, the R2 values of 0.666 and 0.649 obtained for ANN-BP-A-5 and ANN-BP-A40, respectively, indicated that the performances of ANN models were satisfactory and ANN model can also be used for runoff prediction in data scarce areas.
利用人工神经网络(ANN)对巴拉塔普扎河流域降雨径流过程的非线性系统进行了建模。将结果与半分布式、基于物理的SWAT(水土评估工具)模型的输出结果进行比较。人工神经网络建模使用反向传播学习算法,tan s型传递函数和模型输入策略,通过将层数分配为5、10、15、20、25、30和40,将降雨量和其他气候变量作为输入。通过相关系数(r)、决定系数(R2)和均方根误差(RMSE)对不同模型进行评价。其中,ANN- bp - a -5(6个输入变量,5个隐藏层)表现最好,其次是ANN- bp - a40(6个输入变量,40个隐藏层)。将最佳模型ANN- bp - a -5和ANNBP-A40与SWAT预测的径流量进行比较,发现SWAT模拟的径流量与观测径流量的相关性高于ANN预测的径流量。人工神经网络模型低估了雨季的流量,高估了夏季的流量。然而,ANN- bp - a -5和ANN- bp - a40的R2分别为0.666和0.649,表明ANN模型的性能令人满意,ANN模型也可以用于数据稀缺地区的径流预测。
{"title":"Runoff Prediction of Bharathapuzha River Basin using Artificial Neural Network and SWAT Model","authors":"","doi":"10.52151/jae2022594.1791","DOIUrl":"https://doi.org/10.52151/jae2022594.1791","url":null,"abstract":"An attempt was made to model the non-linear system of rainfall-runoff process from Bharathapuzha River basin using an information processing paradigm, Artificial Neural Network (ANN). The results were compared with the outputs of the semi-distributed, physically-based SWAT (Soil and Water Assessment Tool) model. The ANN modelling was done using back propagation learning algorithm, tan sigmoid transfer function, and model input strategy having rainfall and other climatic variables as input by assigning number of layers as 5, 10, 15, 20, 25, 30, and 40. Different models were evaluated with respect to coefficient of correlation (r), coefficient of determination (R2 ), and root mean square error (RMSE). Among the ANN models, ANN-BP-A-5 (six input variables, 5 hidden layers) performed best, followed by ANN-BP-A40 (six input variables, 40 hidden layers). Comparison of ANN predicted runoff of the best models (ANN-BP-A-5 and ANNBP-A40) with the SWAT predicted runoff revealed that the simulated runoff using SWAT was more correlated to observed runoff than ANN predicted runoff. The ANN models underestimated the flow during the rainy season, and gave an overestimation during the summer season. However, the R2 values of 0.666 and 0.649 obtained for ANN-BP-A-5 and ANN-BP-A40, respectively, indicated that the performances of ANN models were satisfactory and ANN model can also be used for runoff prediction in data scarce areas.","PeriodicalId":48507,"journal":{"name":"Journal of Agricultural Engineering","volume":"57 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82280978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluating the Performance of Calibrated Temperature-based Equations as Compared to Standard FAO-56 Penman Monteith Equation in Humid Climatic Condition of Dehradun (India) 在印度德拉敦潮湿气候条件下,与FAO-56标准Penman Monteith方程相比,校准温度方程的性能评价
IF 1.8 4区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2023-01-01 DOI: 10.52151/jae2022594.1790
The present study was undertaken to calibrate, validate, and evaluate the performance of temperature-based evapotranspiration equations in comparison to the standard FAO-56 Penman Monteith (FAO-56 PM) model in humid climatic condition of Dehradun district of Uttarakhand using 31-years (1989-2019) daily meteorological dataset. The quality control of dataset was ensured by omitting days with missing data and outliers. The performance of 12 calibrated temperature-based ETo equations namely, Allen (1993) [AL93], Baier and Robertson (1965) [BR65], Bogawski and Bednorz (2014) [BB14], Droogers and Allen (2002) [DA02], Dorji et al. (2016) [DO16], Hargreaves (1994) [HA94], Heydari and Heydari (2014) [HH14], Kharrufa (1985) [KA85], Ravazzani et al. (2012) [RA12], Samani (2004) [SA04], Schendel (1967) [SC67], and Trajkovic (2007) [TR07] were evaluated in comparison to standard FAO-56 PM model in terms of daily ETo estimates. The analysis showed that calibrated temperature-based equations performed well with higher value of agreement index (0.85-0.98) and reduced errors. The values of Root mean square error (RMSE), Mean bias error (MBE), Maximum absolute error (MAXE), Percent error of estimate (PE), and Standard error of estimate (SEE) for calibrated equations ranged from 0.29 to 1.15 mm.day-1, (-)0.39 to 0.53 mm.day-1, 0.64 to 3.95 mm.day-1, 4.71 to 19.11%, and 0.17 to 1.00 mm.day-1, respectively; whereas for original equations they varied in the range from 0.47 to 3.64 mm.day-1, (-)0.32 to 2.92 mm.day-1, 0.95 to 10.65 mm.day-1, 11.74 to 106.15%, and 0.18 to 1.72 mm.day-1, respectively, indicating improved performance of calibrated equations. The ranking of calibrated ETo equations on the basis of Global Performance Indicator (GPI) values confirmed that calibrated Dorji et al. (2016) equation produced best result, while Samani (2004) equation with its lowest value performed poorly. Based on GPI values, calibrated equations can be ranked (best to worst performing) as DO16> AL93> TR07> RA12> DA02> HA94> SC67> KH85> BR65> HH14>BB14> SA04. Thus, calibrated Dorji et al. (2016) equation can be used as substitute for FAO-56 PM model in the absence of large number of meteorological parameters for accurate estimation of ETo values in the study area.
本研究利用31年(1989-2019)日气象数据集,在北阿坎德邦德拉顿地区湿润气候条件下,与FAO-56 Penman Monteith (FAO-56 PM)标准模型相比,校准、验证和评估基于温度的蒸散发方程的性能。通过剔除缺失数据和异常值的天数,保证了数据集的质量控制。Allen (1993) [AL93]、Baier and Robertson (1965) [BR65]、Bogawski and Bednorz (2014) [BB14]、Droogers and Allen (2002) [DA02]、Dorji等(2016)[DO16]、Hargreaves (1994) [HA94]、Heydari and Heydari (2014) [HH14]、Kharrufa (1985) [KA85]、Ravazzani等(2012)[RA12]、Samani (2004) [SA04]、Schendel (1967) [SC67]、和Trajkovic (2007) [TR07]在每日ETo估计值方面与FAO-56 PM标准模型进行了比较。分析表明,校正后的温度方程具有较高的一致性指数(0.85 ~ 0.98)和较低的误差。校准方程的均方根误差(RMSE)、平均偏置误差(MBE)、最大绝对误差(MAXE)、估计百分比误差(PE)和估计标准误差(SEE)的取值范围分别为0.29 ~ 1.15 mm.day-1、0.39 ~ 0.53 mm.day-1、0.64 ~ 3.95 mm.day-1、4.71 ~ 19.11%和0.17 ~ 1.00 mm.day-1;而对于原始方程,它们的变化范围分别为0.47 ~ 3.64 mm.day-1、0.32 ~ 2.92 mm.day-1、0.95 ~ 10.65 mm.day-1、11.74 ~ 106.15%和0.18 ~ 1.72 mm.day-1,表明校准方程的性能有所提高。根据全球绩效指标(GPI)值对校准后的ETo方程进行排序,证实了校准后的Dorji et al.(2016)方程产生了最好的结果,而Samani(2004)方程的最低值表现较差。根据GPI值,标定后的方程表现为:DO16> AL93> TR07> RA12> DA02> HA94> SC67> KH85> BR65> HH14>BB14> SA04。因此,在缺乏大量气象参数的情况下,校正后的Dorji et al.(2016)方程可以替代FAO-56 PM模型,用于准确估计研究区域的ETo值。
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引用次数: 0
Development of a Sensor System for Detection of Missing Seeds in a Tractor-operated Groundnut Planter 拖拉机花生播种机缺种检测传感器系统的研制
IF 1.8 4区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2023-01-01 DOI: 10.52151/jae2022593.1777
M. Pati
To minimize the missing seeds in groundnut planting, an Infra Red (IR) technology based sensor system was developed for a tractor drawn 9- row groundnut planter. This system could detect the number of groundnut seeds falling through a seed tube and provides visual and audible indications of missing drop(s). Laboratory evaluation of the planter with sensor system indicated that the variations of actual number of seeds dropped and display reading varied from 4.97% to 6.72% when operating speed varied from 2.5 km.h-1 to 3.5 km.h-1. The seed rates were 118.53 kg.ha-1 at 2.5 km.h-1, 100.10 kg.ha-1 at 3.0 km.h-1 and 93.20 kg.ha-1 at 3.5 km.h-1 operating speed. Under field condition, the planter without sensor system had lowest (22.60%) missing seeds at speed of 2.5 km.h-1, and highest (32.85%) missing seeds at higher speed of 3.5 km.h-1; while the planter with sensor system had 5.92% - 10.84% missing seeds with forward speed varying from 2.5 km.h-1 to 3.5 km.h1 . The missing index of seed thus, reduced by 16-22% with incorporation of the sensor device with the planter. With increase in forward speed, seed rate decreased irrespective of use of the sensor with the planter due to higher planter vibration as well as the seeds dropping back from the metering cells in the seed box before being discharged in seed tube. However, using the sensor system, no significant effect of speed on seed rate was observed.
为了最大限度地减少花生种植过程中的漏种,研制了一种基于红外技术的拖拉机九行花生种植机红外传感系统。该系统可以检测通过种管掉落的花生种子的数量,并提供视觉和听觉指示丢失的种子(s)。实验结果表明,在2.5 km.h-1 ~ 3.5 km.h-1转速范围内,实际播种机播种量和显示读数的变化幅度为4.97% ~ 6.72%。种子率为118.53 kg。Ha-1在2.5公里,h-1, 100.10公斤。时速3.0公里,93.20公斤。Ha-1运行速度为3.5公里。在田间条件下,无传感器播种机在播种速度为2.5 km.h-1时失种率最低(22.60%),在播种速度为3.5 km.h-1时失种率最高(32.85%);而安装传感器系统的播种机在前进速度从2.5 km.h-1到3.5 km范围内,漏种率为5.92% ~ 10.84%。h1。因此,与播种机结合使用传感器装置后,种子丢失指数降低了16-22%。随着前进速度的增加,无论与播种机一起使用传感器,由于播种机振动加剧以及种子从种箱中的计量单元回落到种管中排放之前,种子率都有所下降。然而,使用传感器系统,没有观察到速度对种子率的显著影响。
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引用次数: 0
Comprehensive Characterization of Cocos nucifera Palm Residues for Biochar Production 椰子树棕榈残渣生物炭综合特性研究
IF 1.8 4区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2023-01-01 DOI: 10.52151/jae2022594.1788
The feasibility of using Cocos nucifera palm residues such as shell, husk, leaflets, fronds, and rachis for biochar production was investigated. Biomass characterization such as proximate, elemental, biochemical, higher heating value, and thermogravimetry were analysed. The results showed that fixed carbon of coconut palm residues was in the range of 10.48% to 17.47%, with the shell being the highest. Carbon, hydrogen, nitrogen, and oxygen content of the residues ranged from 39.46% to 48.60%, 4.23% to 6.00%, 0.42% to 1.66%, and 44.98% to 55.28%, respectively. Among the residues, lignin content was found to be maximum in the shell biomass (29.31%) and minimum in the rachis (21.89%). Thermogravimetric analysis of coconut palm residues revealed the presence of three stages of thermal degradation with overall weight loss ranging between 68.56% and 77.08 per cent. Higher fixed carbon and lignin content unveiled the potential of coconut palm residues for biochar synthesis. Slow pyrolysis of coconut palm residues resulted in biochar generation with fixed carbon content ranging between 65.40% and 78.21%, and proved its suitability for applications such as solid fuel, adsorbent, catalyst, and precursor for biomaterials production such as activated carbon and carbon molecular sieves.
研究了利用椰壳、椰壳、椰叶、椰叶和椰轴等棕榈残渣生产生物炭的可行性。生物量的表征,如近似值,元素,生化,高热值和热重分析。结果表明,椰树残渣的固定碳含量在10.48% ~ 17.47%之间,其中椰壳的固定碳含量最高。碳、氢、氮、氧含量分别为39.46% ~ 48.60%、4.23% ~ 6.00%、0.42% ~ 1.66%和44.98% ~ 55.28%。其中,木质素含量在壳生物量中最高(29.31%),在轴生物量中最低(21.89%)。热重分析表明,椰树渣存在三个阶段的热降解,总失重率在68.56% ~ 77.08%之间。较高的固定碳和木质素含量揭示了椰树渣合成生物炭的潜力。通过对椰树残渣的缓慢热解,可制得固定碳含量在65.40% ~ 78.21%之间的生物炭,可作为固体燃料、吸附剂、催化剂以及活性炭、碳分子筛等生物材料的前体。
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引用次数: 0
Refinement of Wheat Straw Harvester for Paddy Straw Harvesting and Bruising 稻谷秸秆收获与碾压用麦秸收割机的改进
IF 1.8 4区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2023-01-01 DOI: 10.52151/jae2022593.1776
Refinement of a wheat straw harvester was done for chopping of paddy straw. Blower of the wheat straw harvester was replaced by two bruising cylinders and a concave. Pointed knife guards of the cutter bar were replaced with V-shaped serrated blades fixed below the cutting blades. The machine was operated in paddy fields having straw load 6.25 t.ha-1 and 8.58 t.ha-1 at forward speed of 0.55, 0.70, and 0.97 m.s-1. Straw bruising cylinder speeds of 640, 725, and 810 rpm were used. The percentage of chopped straw of size up to 125 mm, weighted mean size of chopped straw, mulch thickness, and coefficient of variation of uniformity of straw spread were in the range of 71.28-86.41%, 57.6-81.2 mm, 53.9-60.0 mm, and 20.54-22.17%, respectively, under all treatment combinations. The fuel consumption and field capacity of the machine were in the range of 8.88-12.08 l.ha-1 and 0.27-0.55 ha.h-1, respectively.
对稻秆切碎用麦秸收割机进行了改进。麦秸收割机的鼓风机改为两个压痕滚筒和一个凹形滚筒。将刀杆的尖头护刀替换为固定在切割刀片下方的v形锯齿刀片。在秸秆负荷为6.25 t.ha-1和8.58 t.ha-1的稻田中,以0.55、0.70和0.97 m.s-1的前进速度运行。稻草挫伤气缸转速分别为640、725和810 rpm。在各处理组合下,125 mm以下的秸秆刈割比例、秸秆加权平均刈割尺寸、覆盖厚度和秸秆铺布均匀性变异系数分别为71.28 ~ 86.41%、57.6 ~ 81.2 mm、53.9% ~ 60.0 mm和20.54 ~ 22.17%。该机的燃油消耗量为8.88 ~ 12.08 l.ha-1,现场运力为0.27 ~ 0.55 ha.h-1。
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引用次数: 0
Solar Photovoltaic Pump-operated Micro-irrigation Systems: A Comprehensive Review 太阳能光伏水泵驱动的微灌系统:综合综述
IF 1.8 4区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2023-01-01 DOI: 10.52151/jae2022594.1789
Increasing energy scarcity has compelled the agricultural and energy engineers to look for alternative renewable energy sources to sustain irrigated agriculture. Among the renewable energy options available for irrigation, adoption of solar photovoltaic (PV) energy is growing at faster rate all around the world. Also, the micro-irrigation (MI) system is widely accepted as the most efficient irrigation method. Integrated application of solar PV and MI system is one of the most energy- and water-efficient solution to agriculture, and is gaining popularity among the farmers. However, the intermittent supply of power from the solar PV system hinders the performance of directly connected MI system. It demands additional costly energy and water storage options for hassle-free operation. Systematic integration of PV and MI system is required to avoid storage options and to meet energy and water demand of crops for universal agricultural applications. This manuscript is an attempt to present a comprehensive review of literature reported in this area in the past two decades.
日益严重的能源短缺迫使农业和能源工程师寻找可替代的可再生能源来维持灌溉农业。在可用于灌溉的可再生能源选择中,太阳能光伏(PV)能源的采用在世界各地以更快的速度增长。此外,微灌(MI)系统被广泛认为是最有效的灌溉方式。太阳能光伏与MI系统的集成应用是最节能、最节水的农业解决方案之一,越来越受到农民的欢迎。然而,太阳能光伏系统的间歇性供电阻碍了直连MI系统的性能。它需要额外昂贵的能源和水存储选项,以实现无麻烦的操作。为了避免储能选择,满足作物普遍农业应用的能源和水需求,需要光伏和MI系统的系统集成。这份手稿是一个尝试,以目前的文献报道,在这一领域的全面审查,在过去的二十年。
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引用次数: 0
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Journal of Agricultural Engineering
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