Applied Engineering in Agriculture最新文献

{"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}

{"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}

{"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}

{"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}

{"title":"Optical Properties of Lentil Seed Coats Using Fiber-Optic Spectroscopy","authors":"Nsuhoridem I. Jackson, A. Vandenberg, M. Subedi, S. Noble","doi":"10.13031/aea.14456","DOIUrl":"https://doi.org/10.13031/aea.14456","url":null,"abstract":"HighlightsA fiber-optic spectroscopy system was set up and validated for measurement of optical properties of lentil seed coat.Light transmission properties of major lentil seed coat types were measured to evaluate their protective ability.Light transmission was detected mainly in the UVA and visible regions in all seed coat types except zero tannin.The protective abilities differed depending on seed coat type (important in breeding for cotyledon protection).Abstract. The light transmission of 20 lentil genotypes, representing six color classes (black, green, tan, brown grey, and zero tannin) was investigated to determine the degree to which seed coats prevent light transmission and possible photodegradation of cotyledon color. A fiber-optic spectroscopy system was set up for measurement; it consisted a deuterium-halogen light source, spectrometer, fiber-optic incidence and transmission probes, and sample holders. The nadir-aligned transmission spectra were measured in wavelength ranges of 250 to 850 nm. To study variability in light transmission of the different seed coat types, the curves were integrated in three wavelength regions to obtain Cumulative UV Transmission (CUVT, 250 to 400 nm), Cumulative VIS Transmission (CVIST, 401 to 700 nm), and Cumulative NIR Transmission (CNIRT, 701 to 850 nm), respectively. Tests for significant differences in light transmission were then done using analysis of variance (ANOVA) via General Linear Modelling and Posthoc GLM Tukey tests. Results showed that all the seed coat types, except zero tannin, showed no detectable transmission of UV light from 250 to 315 nm. Black seed coats showed detectable transmission from 615 to 850 nm, while other seed coat types transmitted varying percentages of light from 315 to 850 nm. The results of ANOVA showed that there were significant (p<0.05) differences in light transmission properties of the major seed coat types. Keywords: Fiber optics, Lentils, Light transmission, Pulse quality, Spectroscopy, Seed coat.","PeriodicalId":55501,"journal":{"name":"Applied Engineering in Agriculture","volume":"105 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67047936","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}

{"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}

{"title":"Analysis of Broken Rice Kernels Using an Android Application","authors":"Karthik Salish, José Alfredo Gamboa, Kingsly Ambrose","doi":"10.13031/aea.14716","DOIUrl":"https://doi.org/10.13031/aea.14716","url":null,"abstract":"HighlightsAn android application was developed to analyze broken rice kernels.Maximum length and aspect ratio were good indicators to categorize broken rice kernels.The developed algorithm had a precision of 95.9% and an accuracy of 98.0%.Abstract. The morphological characteristics of grain kernels play an important role in identifying the quality of rice. Manual sorting and inspection of rice kernels is a laborious process and susceptible to human errors. Mechanical separators such as indented cylindrical separators have also been used to separate broken kernels. In recent times, computer vision through image analysis has been applied to automate these processes, however, this necessitates image acquisition and processing devices. This article focuses on the development and use of an android application to determine the physical quality of rice kernels by quantifying broken grains using image processing and analysis techniques. The algorithm for the application includes several steps within image processing such as: image acquisition, preprocessing, segmentation, morphological transformation, and feature extraction. This quality inspection system was evaluated for medium-grain white rice. Experimental results showed a maximum average error of 2.8% in the prediction of broken kernels. This application can be used by primary producers and traders for analyzing the quality of rice. Keywords: Android application, Computer vision, Image processing, Rice quality.","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":"67049319","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}

{"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}

{"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}

{"title":"Effects of Different Potassium Supply Levels on Potassium Fertilizer of Bananas under Drip Irrigation","authors":"Chao Zheng, Xiaofei Yang, Ke-xing Liu, Yongxiang Huang","doi":"10.13031/aea.14905","DOIUrl":"https://doi.org/10.13031/aea.14905","url":null,"abstract":"HighlightsThe effects of different potassium levels on banana production were investigated under drip irrigation.The most economical and rational potassium level for Brazil 118 was recommended to be 675 kg/ha.Fertilization plays an important role in improving the potassium fertilizer efficiency of bananas.Abstract.Applying potassium with water is an effective way to meet the potassium needs of banana and improve the utilization efficiency of potassium fertilizer. This paper aims to explore the fertilizer effect of different potassium levels on banana production under drip irrigation to provide a theoretical basis for the efficient and rational utilization of potassium fertilizer in banana production. Brazilian banana was used in the field experiment in this study. Under the condition of applying nitrogen fertilizer (N 750 kg/ha) and phosphate fertilizer (P2O5 450 kg/ha), five potassium supply levels of CK (without potassium fertilizer), K1 (K2O 225 kg/ha), K2 (450 kg/ha), K3 (675 kg/ha), and K4 (900 kg/ha) were employed to study the effects of drip irrigation on banana yield, fruit quality and economic benefits. The results showed that drip irrigation with potassium application could significantly increase the pseudo-stem diameter, fruits per comb, and green leaves of bananas (P<0.05). The banana yield with K3 treatment was 45.11 t/ha, which was 73.97%, 37.87%, 11.11%, and 5.67% higher than those with CK, K1, K2, and K4, respectively. The net cash income with K3 treatment was 122400 Chinese yuan/ha, increased by 57.32% compared with the CK treatment, and the output/input ratio increased from 1.41:1 to 3.11:1. Considering the increasing yield and economic benefits of bananas, application of drip irrigation coupled with the optimized potassium dosage (K2O 675 kg/ha) could achieve the highest banana production. Keywords: Banana, Drip irrigation, Economic benefit, Fruit quality, Potassium application level.","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":"67050669","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}