Applied Engineering in Agriculture最新文献

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Designing Arduino Instruction for Novice Agriculture Students: Effects on Interest, Self-efficacy, and Knowledge 农学新手Arduino教学设计:对兴趣、自我效能和知识的影响
IF 0.9 4区 农林科学
Applied Engineering in Agriculture Pub Date : 2022-01-01 DOI: 10.13031/aea.15031
Donald M. Johnson, M. Pate, C. Estepp, George W. Wardlow, Grant T Hood
{"title":"Designing Arduino Instruction for Novice Agriculture Students: Effects on Interest, Self-efficacy, and Knowledge","authors":"Donald M. Johnson, M. Pate, C. Estepp, George W. Wardlow, Grant T Hood","doi":"10.13031/aea.15031","DOIUrl":"https://doi.org/10.13031/aea.15031","url":null,"abstract":"HighlightsAn instructional treatment for teaching novice Arduino users was developed, tested, refined, and found to be effective.The revised instructional treatment significantly increased novice users’ interest, knowledge, self-efficacy, and skills in using Arduinos.Incorporation of small ‘practice activities’ during the lesson portion of the instructional treatment was proven effective.The results support the use of the program evaluation model and self-efficacy theory as effective frameworks for instructional development. Abstract. This study employed the program evaluation model and self-efficacy theory to develop, evaluate, revise, and re-evaluate an instructional treatment (lesson and hands-on activity) intended to increase the interest, self-efficacy, and knowledge of novice Arduino users in two colleges of agriculture. Arduino is a line of programmable, open-source microcontrollers widely used in education and research. Program evaluation provides an iterative model of instructional development where the results of a pilot-test are used to guide refinement of instruction and materials which are reevaluated in subsequent test(s). Self-efficacy theory posits that positive mastery, vicarious, and social persuasion experiences lead to increased confidence in task performance and subject matter interest. In the pilot-test study at University A (n = 27), the initial instructional treatment resulted in significant (p < 0.05) and large increases in students’ breadboarding self-efficacy and Arduino knowledge, but not in programming self-efficacy or interest in learning about Arduino. After revising the instructional treatment to include four hands-on tasks as part of the lesson, the re-test study at University B (n = 20) resulted in significant (p < 0.05) and large increases in students’ interest in learning about Arduino, breadboarding self-efficacy, programming self-efficacy, and Arduino knowledge. The results of this study indicated the utility of program evaluation as a curriculum development model and the efficacy of incorporating small hands-on activities into lessons for novices learning new technical skills. Finally, use of self-efficacy theory as a framework for curriculum development was validated. Keywords: Arduino, Microcontrollers, Novice programmers, Program evaluation model, Self-efficacy theory, Teaching.","PeriodicalId":55501,"journal":{"name":"Applied Engineering in Agriculture","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67051190","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: 1
Choice of Pipe Material Influences Drain Spacing and System Cost in Subsurface Drainage Design 在地下排水设计中,管道材料的选择影响着排水间距和系统成本
IF 0.9 4区 农林科学
Applied Engineering in Agriculture Pub Date : 2022-01-01 DOI: 10.13031/aea.15053
E. Ghane
{"title":"Choice of Pipe Material Influences Drain Spacing and System Cost in Subsurface Drainage Design","authors":"E. Ghane","doi":"10.13031/aea.15053","DOIUrl":"https://doi.org/10.13031/aea.15053","url":null,"abstract":"HighlightsFor 3- or 4-row regular-perforated pipes, the effective radius ranged from 0.3 to 0.9 cm (average 0.6 cm).For 8-row regular-perforated pipes, the effective radius was 1.9 cm.The effective radius of sock-wrapped pipes ranged from 5.7 to 6.0 cm (average 5.9 cm).The 8-row sand-slot pipes had a lower initial system cost than the sock-wrapped pipes.The 8-row regular-perforated pipes had a lower initial system cost than the 4-row regular-perforated pipes.Abstract. Knitted-sock envelopes are applied in agricultural subsurface drainage to prevent sediment clogging of the drain pipes. In the United States and Canada, sand-slot pipes are sometimes used as a cheaper alternative to sock-wrapped pipes. However, their initial system cost has not been compared. The main objective of this study was to evaluate the effect of pipe material on drain spacing and initial system cost. First, the theoretical effective radius of each pipe material was estimated. Then, the drain spacing was calculated for each pipe material in a drainage design, such that each pipe would provide the same design drainage rate (i.e., same water removal rate). The results showed that the effective radius of sock-wrapped pipes (average 5.9 cm) was much greater than that of 4-row (average 0.4 cm) and 8-row perforated sand-slot pipes (average 1.6 cm). Rows refer to number of longitudinal rows of perforations. The sock-wrapped pipes considerably increased the effective radius of the pipe by reducing the entrance head loss. Furthermore, the sock-wrapped pipes allowed for a wider drain spacing (ranging from 0.8 to 5.4 m wider) in soil with risk of drain sedimentation, thereby reducing the total length of the lateral drain pipe needed for drainage design compared to both 4- and 8-row sand-slot pipes. The 8-row regular-perforated pipes allowed for a wider optimum drain spacing, thereby reducing the initial system cost in soil without a drain sedimentation issue compared to 4-row regular-perforated pipes. In conclusion, even though the sock-wrapped pipe reduced the total length of the lateral drain pipe, the 8-row sand-slot pipe had a lower initial system cost compared to the sock-wrapped pipe, when designed at the same design drainage rate and drain depth. Keywords: Drain spacing, Effective radius, Entrance resistance, Geotextile, Knitted sock, Perforation.","PeriodicalId":55501,"journal":{"name":"Applied Engineering in Agriculture","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67051309","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: 6
Using NDVI for Variable Rate Cotton Irrigation Prescriptions NDVI在棉花变流量灌溉处方中的应用
IF 0.9 4区 农林科学
Applied Engineering in Agriculture Pub Date : 2022-01-01 DOI: 10.13031/aea.15071
K. Stone, E. D. Billman, P. Bauer, G. Sigua
{"title":"Using NDVI for Variable Rate Cotton Irrigation Prescriptions","authors":"K. Stone, E. D. Billman, P. Bauer, G. Sigua","doi":"10.13031/aea.15071","DOIUrl":"https://doi.org/10.13031/aea.15071","url":null,"abstract":"HighlightsCrop coefficients (Kcb) were calculated using Normalized Difference Vegetative Indices (NDVI) and compared to the FAO-56 method.Cotton yields using NDVI-Kcb based irrigation scheduling to a uniform checkbook irrigation were compared.Irrigated cotton yields were not significantly different between irrigation methods but were significantly higher in years requiring higher volumes of irrigation water.Cotton fiber quality was not significantly different for the two irrigation methods or plant populations.Abstract. Irrigation timing is crucial for achieving high cotton yields and lint quality. This irrigation timing is more challenging in the southeastern U.S. Coastal Plain region due to its spatial variable sandy soils with low water and nutrient holding capacities and rainfall variability during the growing season. To address these challenges, we conducted a 2-year (2017 and 2018) study evaluating two irrigation scheduling methods under a variable rate irrigation system. The two irrigation methods were: (1) a uniform irrigation management based on weekly crop water usage, and (2) spatial crop coefficients derived from normalized difference vegetative indices (NDVI). We compared cotton yields and water use efficiency using the two irrigation scheduling methods at two different planting densities. The two plant populations were 5 and 11.5 plants m2 to provide different NDVI readings and water requirements. In 2017, there were no significant differences in cotton yields due to the adequate rainfall during the growing season that required only three irrigations events. The mean irrigation depth for the NDVI method was significantly lower than the uniform method (56 and 64 mm, respectively, LSD = 4.2). In 2018, there was lower rainfall during the growing season requiring eight irrigation events and the cotton yields in the two irrigation treatments were significantly higher than the rainfed treatment. Irrigation depths in 2018 were not significantly different for the two irrigation methods. Water use efficiencies were not significantly different for the two irrigation methods. The planting density had little impact on the cotton yields, irrigation depth, water use efficiency, or cotton fiber quality. These results indicate that the NDVI-derived crop coefficient values were as effective in prescribing irrigation applications as the uniform irrigation method for irrigation management. The NDVI-derived crop coefficient irrigation method appears to be a useful tool for managing irrigation and developing irrigation prescriptions. Keywords: Cotton, Irrigation scheduling, Normalized difference vegetation indices, Variable rate irrigation","PeriodicalId":55501,"journal":{"name":"Applied Engineering in Agriculture","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67051367","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: 1
Relationship between the 3D Footprint of an Agricultural Tire and Drawbar Pull Using an Artificial Neural Network 基于人工神经网络的农用轮胎三维足迹与牵引力关系研究
IF 0.9 4区 农林科学
Applied Engineering in Agriculture Pub Date : 2022-01-01 DOI: 10.13031/aea.13851
M. Cutini, Corrado Costa, M. Brambilla, C. Bisaglia
{"title":"Relationship between the 3D Footprint of an Agricultural Tire and Drawbar Pull Using an Artificial Neural Network","authors":"M. Cutini, Corrado Costa, M. Brambilla, C. Bisaglia","doi":"10.13031/aea.13851","DOIUrl":"https://doi.org/10.13031/aea.13851","url":null,"abstract":"HighlightsImprovement of tractor traction provides better field efficiency.Drawbar pull increased with tire footprint length.Drawbar pull decreased with increasing tire footprint volume and depth.3D footprint parameters, which the 2D footprint do not contain, affected the drawbar pull significantly.The ANN highlighted the relation adequately.Abstract.Improving the traction of an agricultural tractor on the field increases its working efficiency and capacity. Heavy work, like plowing, entails high levels of tire slip, which is directly related to power loss when the transmission of drawbar pull is required. Accordingly, it is possible to hypothesize that a tire with a higher traction capability could increase the working efficiency of the machine. The natural evolution for measuring the geometrical parameters of tires has led to the consideration of three-dimensional (3D) footprints since the distribution of the vertical stresses at the soil–tire interface may be highly non-uniform. In this study, the data acquired from 3D footprints of 10 sets of tires underwent processing along with the data from drawbar tests carried out with the same tires on soil terrain at different slip ratios. Subsequently, artificial intelligence multivariate methods based on artificial neural networks allowed traction prediction and verified the importance that the acquired geometrical parameters have on the measured drawbar pull. The study confirmed the correlation of the geometrical parameters of the 3D tire footprint with the drawbar pull and the results of the artificial intelligence modelling underlined the impact of these acquisitions. However, further work that considers various lug geometries is required to extend the generalizability of the studied methodology. Keywords: Field efficiency, Phenolic resin, Traction, Tractor.","PeriodicalId":55501,"journal":{"name":"Applied Engineering in Agriculture","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67029347","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: 1
A Review on Energy-Sustainable Design and Operation of Greenhouses for Plant/Crop Production in Cold Regions 寒区植物/作物生产温室能源可持续设计与运行研究进展
IF 0.9 4区 农林科学
Applied Engineering in Agriculture Pub Date : 2022-01-01 DOI: 10.13031/aea.14607
Anning Wei, Yuxiang Chen
{"title":"A Review on Energy-Sustainable Design and Operation of Greenhouses for Plant/Crop Production in Cold Regions","authors":"Anning Wei, Yuxiang Chen","doi":"10.13031/aea.14607","DOIUrl":"https://doi.org/10.13031/aea.14607","url":null,"abstract":"HighlightsIn cold regions, the immense energy consumption for space heating of greenhouses is a significant problem.Energy-efficient measures have been presented for conventional and nonconventional design aspects.Renewable resources have considerable potential to be used in greenhouses.Abstract. The energy consumption of greenhouses in cold regions, especially for space heating, is immense and therefore economically unbearable. The main objective of this article is to provide a comprehensive review of state-of-the-art energy-saving strategies for the design and operation of greenhouses in cold regions. The review covers conventional functions (lighting, air quality and temperature control, and irrigation), nonconventional functions (thermal insulation, thermal energy storage, and utilization of ground-source and renewable energy), and numerical modelling of the energy-performance of greenhouses. For each of these topics, pertinent plant science is provided and performance assessments are presented. The findings from this review conclude that hybrid lighting (LED with high-pressure sodium lamps) and proper scheduling result in the best combination of energy efficiency and plant yield. However, further studies are still required in this field. Keywords: Cold regions, Energy-efficiency, Greenhouse, Sustainability.","PeriodicalId":55501,"journal":{"name":"Applied Engineering in Agriculture","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67048672","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
Low-Cost Microcontroller-Based Device to Measure Kaolin Clay Concentrations for ISO Sprayer Cleanout Tests 低成本的微控制器为基础的设备,以测量高岭土浓度的ISO喷雾清洗测试
IF 0.9 4区 农林科学
Applied Engineering in Agriculture Pub Date : 2022-01-01 DOI: 10.13031/aea.14764
H. Jeon, Heping Zhu
{"title":"Low-Cost Microcontroller-Based Device to Measure Kaolin Clay Concentrations for ISO Sprayer Cleanout Tests","authors":"H. Jeon, Heping Zhu","doi":"10.13031/aea.14764","DOIUrl":"https://doi.org/10.13031/aea.14764","url":null,"abstract":"HighlightsSimple low-cost microcontroller-based device was developed to measure ASP® 602 concentrations of residue samples from ISO 22368 tests.Sensitivity analysis showed the device was able to detect ASP® 602 concentrations as low as 22.5 ppm depending on sample variations.Various prediction models were built from the output of the device and validated to understand their accuracy and measurement variations.Logarithmic prediction model showed approximation errors from 3.9% to 19.7% with CV of 7.7% to 19.8% for the ASP® 602 concentration range from 0 to 250 ppm.Abstract.A simple microcontroller-based device with operating software was developed for analyzing samples from ISO 22368 sprayer cleanout tests. The device could measure ASP® 602 concentrations of residue samples from the sprayer cleanout tests with measurement variations, a coefficient of variations (CV), less than 4%. Sensitivity analysis of the device carried out to understand the measurement limits, and the results showed that the limit of quantification of the device was 22.5 ppm with sample variations which was sufficient for assaying residue samples from ISO 22368 tests. The measurement variations of the device were also affected by homogeneity of the samples. Several prediction models were developed with the device outputs, and prediction accuracy (approximation error) and measurement variations (CV) of the models were validated with additional ASP® 602 samples. The prediction results from the models had a wide range of approximation errors and the results showed approximation errors from 2.6% to 26.2% with CV from 3.0% to 33.4% with the models for a prediction ranges from 0 to above 500 ppm, while considering the results above limit of quantification. The models for a prediction range from 0 to 250 ppm showed the error from 3.9% to 19.7% with CV from 7.5% to 27.5%, under the same consideration. The logarithmic prediction model with the prediction range from 0 to 250 ppm showed most acceptable performance in terms of approximation error and CV that were less than 20%, when considering the results within limit of quantification. Keywords: Kaolin Clay , ISO Standard, Photodiode, Spectrophotometer, Spraying equipment.","PeriodicalId":55501,"journal":{"name":"Applied Engineering in Agriculture","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67050098","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: 1
Precise Segmentation of Remote Sensing Cage Images Based on SegNet and Voting Mechanism 基于分段网和投票机制的遥感笼图像精确分割
IF 0.9 4区 农林科学
Applied Engineering in Agriculture Pub Date : 2022-01-01 DOI: 10.13031/aea.14878
Yunpeng Liu, Xin Xia, Zhuhua Hu, Shengpeng Fu
{"title":"Precise Segmentation of Remote Sensing Cage Images Based on SegNet and Voting Mechanism","authors":"Yunpeng Liu, Xin Xia, Zhuhua Hu, Shengpeng Fu","doi":"10.13031/aea.14878","DOIUrl":"https://doi.org/10.13031/aea.14878","url":null,"abstract":"HighlightsA Remote Sensing Cage Segmentation (RSCS) dataset is constructed.The SegNet network is introduced to achieve precise segmentation.Random cropping, data augmentation, and three-channel separation operations are used to construct the training sets.The proposed sliding window overlap cropping method and two rounds of voting are used to improve the segmentation accuracy.Abstract. In mariculture, improper cage layout and excessive density of mariculture will lead to deterioration of water quality and the growth of harmful bacteria. However, relying solely on manual measurement will consume a considerable amount of manpower and material resources. Therefore, we propose a precise segmentation scheme for remote sensing cage images based on SegNet and voting mechanism. First, a Remote Sensing Cage Segmentation (RSCS) dataset is constructed. Second, the number of collected samples is too small and the sample sizes are too large. Random cropping, data augmentation, and three-channel separation operations are used to construct the training sets. Nine training sets consisting of three image sizes and three single channels are generated. Finally, the proposed sliding window overlap cropping method and two rounds of voting are used on the test samples to improve the segmentation accuracy. The experimental results show that using sliding window overlap cropping, three-channel voting, and three-size voting can improve mIoU (mean Intersection over Union) by up to 0.9%, 1.9%, and 0.6%, respectively. By using the proposed final scheme, the mIoU of test samples can reach 0.89. Keywords: Mariculture, Remote image segmentation, SegNet, Sliding window overlap cropping, Voting mechanism.","PeriodicalId":55501,"journal":{"name":"Applied Engineering in Agriculture","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67050527","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: 2
Predicting Single Kernel Moisture and Protein Content of Mushroom Popcorn Using NIR Spectroscopy: Tool for Determining their Effect on Popping Performance 近红外光谱法预测蘑菇爆米花单粒水分和蛋白质含量:测定其对爆粒性能影响的工具
IF 0.9 4区 农林科学
Applied Engineering in Agriculture Pub Date : 2022-01-01 DOI: 10.13031/aea.14875
Xiaorong Wu, P. Armstrong, E. Maghirang
{"title":"Predicting Single Kernel Moisture and Protein Content of Mushroom Popcorn Using NIR Spectroscopy: Tool for Determining their Effect on Popping Performance","authors":"Xiaorong Wu, P. Armstrong, E. Maghirang","doi":"10.13031/aea.14875","DOIUrl":"https://doi.org/10.13031/aea.14875","url":null,"abstract":"HighlightsPrediction models for high accuracy measurement of single kernel (SK) moisture content (MC) and protein content (PC) were developed using near-infrared reflectance (NIR) spectroscopy.USDA-ARS tube SKNIR instrument sorted individual kernels based on single kernel protein content (SKPC) which enabled determining the effect of three PC levels within a popcorn variety on popping performance.Variety, MC, and PC affected popping expansion, ball rate, and number of unpopped/half-popped kernels.Within popcorn variety, increased PC significantly increased expansion and reduced number of unpopped kernels but did not affect ball rate of popped flakes.The ability to sort single kernels for specific quality parameter, such as PC, is an important and useful tool for popcorn breeders and processors to meet consumer demand for specialized products.Abstract. The increasing demand for specialized high-quality popcorn products necessitates that the popcorn industry continuously identify quality parameters that can be improved through plant breeding or manipulated or sorted for improved end-products. Relationships between protein content (PC) and popping performance (expansion, ball rate, and number of unpopped kernels) has been investigated but there has been no research on segregating individual kernels from within the same variety for specific PC ranges, which may eliminate possible interference from some underlying variety- or production-related effects. Prediction models for determination of single kernel moisture content (MC) and PC were developed for the USDA-ARS tube single kernel near infrared reflectance (SKNIR) instrument. Both parameters were predicted with high accuracies for independent validations. MC showed an R2 of 0.94 and SEP of 0.25% while PC had R2 of 0.92 and SEP of 0.35%. Popping tests showed that increased kernel PC significantly (p<0.05) increased expansion and lowered the number of unpopped kernels but had no effect on the ball rate of popped flakes. Thus, applications that require increased overall expansion and reduced number of unpopped kernels may be addressed by the removal of low protein popcorn kernels from a popcorn lot, which can be achieved using an automated SKNIR technique. The SKNIR technique also provides a means for plant breeders to work on targeted/specific PC or PC range based on the single kernel selection. Keywords: Ball rate, Expansion, Mushroom popcorn, NIR spectroscopy, Popcorn quality, Single kernel, Unpopped kernels.","PeriodicalId":55501,"journal":{"name":"Applied Engineering in Agriculture","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67050975","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
Mapping Agricultural Drainage Extent in the U.S. Corn Belt: The Value of Multiple Methods 绘制美国玉米带农业排水范围:多种方法的价值
IF 0.9 4区 农林科学
Applied Engineering in Agriculture Pub Date : 2022-01-01 DOI: 10.13031/aea.15226
S. Jame, J. Frankenberger, B. Reinhart, L. Bowling
{"title":"Mapping Agricultural Drainage Extent in the U.S. Corn Belt: The Value of Multiple Methods","authors":"S. Jame, J. Frankenberger, B. Reinhart, L. Bowling","doi":"10.13031/aea.15226","DOIUrl":"https://doi.org/10.13031/aea.15226","url":null,"abstract":"Highlights A new 30 m resolution drainage extent dataset is explorable through an online web interface. Alternative methods of mapping drainage extent have advantages in different locations. Multiple drainage extent datasets provide tools for improved hydrology assessment in the Corn Belt. Abstract. Artificial drainage is essential to agricultural productivity in much of the Midwest, and has an important impact on hydrology and water quality. Planners, engineers, resource professionals, and others who are interested in Corn Belt hydrology would benefit from increased understanding of existing drainage installations. The objective of this work is to increase access to and understanding of options for estimating subsurface/surface drainage extent and the advantages and disadvantages of different methods to benefit data users who need to know what products are appropriate for their specific application. This includes creating an online accessible drainage estimate data layer for the entire Corn Belt region; comparing three different drainage extent products for this region and investigating the various applications of these three products in four case study locations in Indiana, Iowa, Missouri, and Minnesota. Results show how different drainage datasets can be utilized depending on the nature of the research question and conditions of the investigation. Keywords: Agricultural drainage extent, Geospatial analysis, Tile drainage.","PeriodicalId":55501,"journal":{"name":"Applied Engineering in Agriculture","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67051777","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: 2
Soil Rut Effects on Planter Performance for Cotton in a Conservation Tillage System 保护性耕作制度下土壤车辙对棉花种植性能的影响
IF 0.9 4区 农林科学
Applied Engineering in Agriculture Pub Date : 2022-01-01 DOI: 10.13031/aea.15144
T. Way, T. Kornecki, H. Tewolde, D. Watts
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