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International Journal of Agricultural and Biological Engineering 2019年第4期12卷 110-115页

作者： Purbasha Mistry ganesh bora Natural Resources Management North Dakota State UniversityFargoND 58102USA Agricultural and Biological Engineering Department Mississippi State UniversityStarkvilleMS 39762USA

Understanding the impacts of climate change in agriculture is important to ensure optimal and continuous crop *** agricultural sector plays a significant role in the economy of Upper Midwestern states in the USA,especially that of North Dakota(ND).Spring wheat contributes most of the wheat production in ND,which is a major producer of wheat in the *** study focuses on assessing possible impacts of three climate variables on spring wheat yield in ND by building a regression ***-five years of field data were collected and the trend of average minimum temperature along with average maximum temperature,average precipitation,and spring wheat yield was analyzed using Mann-Kendall *** study area was divided into 9 divisions based on physical *** minimum temperature plays an important role in the region as it impacts the physiological development of the *** trend was noticed for 6 divisions for average minimum temperature and average precipitation during growing *** and Southeast division showed the strongest increasing trend for average minimum temperature and average precipitation,***-central division had the most decreasing trend for average maximum temperature.A significant relationship was established between spring wheat yield and climatic parameters as the p-value is lower than 0.05 level which rejects the null *** regression model was tested for forecasting *** percentage deviation of error for the model is approximately±30%in most of the years.

关键词： yield forecast modelling multiple regression climatic parameters spring wheat

Image processing analysis to track colour changes on apple and correlate to moisture content in drying stages

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Food Quality and Safety 2018年第2期2卷 105-110页

作者： ganesh C.bora Rohit Pathak Mojtaba Ahmadi Purbasha Mistry Department of Agricultural and Biological Engineering Mississippi State UniversityMississippiUSA Department of Agricultural and Biosystems Engineering North Dakota State UniversityFargoNorth DakotaUSA

Colour and moisture content are two most important attributes of the commercial food *** of moisture content is very important to know the storability of the food *** also relates to the process of drying in a fruit or *** drying and shrinkage deteriorates the quality of food *** goal of the experiment was to examine the changes in RGB values of an apple during drying at different *** this study,emphasis was given on how the colour changes when there is a significant change in the moisture content of the *** randomly chosen varieties of apples were sliced to 8 mm thickness and dried in vacuum oven at 60°C,70°C,and 80°*** loss of moisture was recorded for every 30 min interval and corresponding digital images were taken to determine the change in RGB *** images that were captured during the study was analysed in MATLAB image analysis computer *** analysis of moisture content and average colour share with respect to time showed that average colour share value decreases with time at all three *** than 50 per cent of variation in moisture content was explained by average colour *** is a significant linear relationship between moisture content and colour changes in RGB and can be used to predict the moisture content of apple during drying process.

关键词： image processing colour moisture content apple drying temperature

Quantification of browning in apples using colour and textural features by image analysis

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Food Quality and Safety 2017年第3期1卷 221-226页

作者： Srinivasagan N.Subhashree S.Sunoj Jun Xue ganesh C.bora Agricultural and Biosystems Engineering North Dakota State UniversityFargoNorth DakotaUSA Guelph Food Research Center Agriculture and Agri-Food CanadaOntarioCanada Agricultural and Biological Engineering Mississippi State UniversityMississippiUSA

This study analyses the effect of browning through image analysis based on colour and textural features in fresh-cut apple slices.A computer vision system(CVS)was developed for image acquisition,which consisted of a digital camera and a florescent lamp source for illumination with a contrasting *** CVS was calibrated using standard colour values and a model was developed by artificial neural network *** varieties of apples such as Honey crisp,Granny Smith,and Golden Delicious were used for the *** apples were freshly cut and subjected to image *** colour features(L*,browning index,hue,and colour change)and textural features(entropy,contrast,and homogeneity)were analysed from the acquired *** varieties Honey Crisp and Granny Smith did undergo browning within 120 min,whereas Golden delicious did not brown *** study concluded that colour and textural features were important decision features for detecting browning in apples through image analysis.

关键词： apple browning colour calibration image analysis textural features

Impact of Climate Variability on Yield of Spring Wheat in North Dakota

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American Journal of Climate Change 2014年第4期3卷 366-377页

作者： ganesh C. bora Sukhwinder Bali Purbasha Mistry Department of Agricultural and Biosystems Engineering North Dakota State University Fargo USA Natural Resource Program North Dakota State University Fargo USA

Agricultural production is highly dependent on the climatic variability of the specific regions. Differential climatic and soil conditions bring about changes in yield, quality of crops thus affecting the economy. This study evaluated the impact of variability in different climatic factors keeping the other factors constant on spring wheat production in North Dakota from 2007 to 2011. The spring wheat yield mainly depends on the climatic changes during growing periods April to September. Average maximum air temperature was significantly different from April to September except June from 2007 to 2011. High average minimum and maximum air temperatures during planting time increase yield and planting area for 2010. In 2011, low mean soil temperature, excess rainfall in April caused low yield of spring wheat. The unmitigated climate variability will result in declines in yields. So, adoption of sustainable agriculture practices helps the farmers to develop the different practices for their farms.

关键词： Climate Variability Crop Production North Dakota Spring Wheat

Weed Recognition Using Image-Processing Technique Based on Leaf Parameters

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Journal of Agricultural Science and Technology(B) 2012年第8期2卷 899-908页

作者： Kamal N. Agrawal Karan Singh ganesh C. bora Dongqing Lin Central Institute of Agricultural Engineering (CIAE) Bhopal lndia Department of Agricultural and Biosystems Engineering (ABEN) North Dakota State University (NDSU) Fargo ND USA

Weeds normally grow in patches and spatially distributed in field. Patch spraying to control weeds has advantages of chemical saving, reduced cost and environmental pollution. Advent of electro-optical sensing capabilities has paved the way of using machine vision technologies for patch spraying. Machine vision system has to acquire and process digital images to make control decisions. Proper identification and classification of objects present in image holds the key to make control decisions and use of any spraying operation performed. Recognition of objects in digital image may be affected by background, intensity, image resolution, orientation of the object and geometrical characteristics. A set of 16, including 11 shape and 5 texture-based parameters coupled with predictive discriminating analysis has been used to identify the weed leaves. Geometrical features were indexed successfully to eliminate the effect of object orientation. Linear discriminating analysis was found to be more effective in correct classification of weed leaves. The classification accuracy of 69% to 80% was observed. These features can be utilized for development of image based variable rate sprayer.

关键词： Machine vision weed detection image-processing leaf parameters.

A Hybrid Optimization Approach of Single Point Incremental Sheet Forming of AISI 316L Stainless Steel Using Grey Relation Analysis Coupled with Principal Component Analysiss

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Journal of Wuhan University of Technology(Materials Science) 2024年第1期39卷 160-166页

作者： A Visagan P ganesh Department of Production Technology Madras Institute of TechnologyChennai-600044India

We investigated the parametric optimization on incremental sheet forming of stainless steel using Grey Relational Analysis(GRA) coupled with Principal Component Analysis(PCA). AISI 316L stainless steel sheets were used to develop double wall angle pyramid with aid of tungsten carbide tool. GRA coupled with PCA was used to plan the experiment conditions. Control factors such as Tool Diameter(TD), Step Depth(SD), Bottom Wall Angle(BWA), Feed Rate(FR) and Spindle Speed(SS) on Top Wall Angle(TWA) and Top Wall Angle Surface Roughness(TWASR) have been studied. Wall angle increases with increasing tool diameter due to large contact area between tool and workpiece. As the step depth, feed rate and spindle speed increase,TWASR decreases with increasing tool diameter. As the step depth increasing, the hydrostatic stress is raised causing severe cracks in the deformed surface. Hence it was concluded that the proposed hybrid method was suitable for optimizing the factors and response.

关键词： single point incremental forming AISI 316L taguchi grey relation analysis principal component analysis surface roughness scanning electron microscopy

Short wave stability of homogeneous shear flows with variable topography

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Applied Mathematics and Mechanics(English Edition) 2014年第5期35卷 541-548页

作者：窦华书 V.ganesh Faculty of Mechanical Engineering & Automation Zhejiang Sci-Tech University

For the stability problem of homogeneous shear flows in sea straits of arbitrary cross section, a sufficient condition for stability is derived under the condition of inviscid flow. It is shown that there is a critical wave number, and if the wave number of a normal mode is greater than this critical wave number, the mode is stable.

关键词： hydrodynamic stability shear flow variable bottom sea strait

Performance assessment of prefabricated vertical drains in mitigating soil reliquefaction subjected to repeated seismic events using shaking table experiments

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Frontiers of Structural and Civil Engineering 2024年第3期18卷 411-427页

作者： Gowtham PADMANABHAN ganesh Kumar SHANMUGAM Department of Earthquake Engineering Indian Institute of Technology RoorkeeUttarakhand 247667India Geotechnical Engineering Division CSIR-Central Building Research Institute Academy of Scientific and Innovative Research(AcSIR)Uttarakhand 247667India

The use of prefabricated vertical drains(PVD)in liquefiable deposits is gaining attention due to enhanced ***,investigations on PVD in mitigating re-liquefaction during repeated shaking events are not *** study performed a series of shaking table experiments on untreated and PVD-treated specimens prepared with 40%and 60%relative *** sinusoidal loading was applied with an incremental peak acceleration of 0.1g,0.2g,0.3g,and 0.4g,at 5 Hz shaking frequency with 40 s *** performance of treated ground was evaluated based on the generation and dissipation of excess pore water pressure(EPWP),induced sand densification,subsidence,and cyclic stress *** addition,the strain accumulated in fresh and exhumed PVD was investigated using geotextile tensile testing apparatus aided with digital image *** evidence of pore pressure was reported up to 0.2g peak acceleration for 40%and 60%relative density *** continuous occurrence of soil densification and drainage medium restrained and delayed the generation of EPWP and expedited the dissipation *** study demonstrates PVD can mitigate re-liquefaction,without suffering from deterioration,when subjected to medium to high intense repeated shaking events.

关键词： prefabricated vertical drains drainage re-liquefaction shaking table digital image correlation

Experimental studies on liquefaction and reliquefaction potential of saturated ground subjected to repeated incremental acceleration loading with varying shaking duration

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Earthquake Engineering and Engineering Vibration 2023年第4期22卷 909-920页

作者： Gowtham Padmanabhan ganesh Kumar Shanmugam Department of Earthquake Engineering Indian Institute of Technology RoorkeeRoorkeeUttarakhand 247667India Geotechnical Engineering Division CSIR-Central Building Research InstituteAcademy of Scientific and Innovative Research(AcSIR)RoorkeeUttarakhand 247667India

Past research has focused on the factors that influence liquefaction under normal shaking ***,studies on parameters that influence the reliquefaction potential of saturated deposits during repeated shaking events are *** this study,an attempt has been made to examine the influence of acceleration amplitude and shaking duration on liquefaction and reliquefaction potential under repeated shaking conditions is conducted.1-g uni-axial shaking table experiments were performed on saturated ground prepared with 40%and 60%relative *** prepared ground was subjected to alternate longer and shorter shaking durations(40 and 20 s)of repeated incremental 0.1 g,0.2 g,0.3 g and 0.4 g acceleration loading,*** variation in density,excess pore water pressure(EPWP),cyclic resistance ratio(CRR)and surface settlement were *** results showed that due to repeated incremental shaking events,reliquefaction was observed on the prepared *** longer shaking duration,the post-liquefied soil showed density improvement with improved soil ***,the application of shorter duration loading followed by longer shaking reduced the beneficial effect of density improvement by disturbing the densified *** to this,the ground was found to be more susceptible to reliquefaction in the subsequent incremental longer shaking event.

关键词： 1g–shaking table reliquefaction acceleration amplitude shaking duration relative density

A framework for building energy management system with residence mounted photovoltaic

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Building Simulation 2021年第4期14卷 1031-1046页

作者： Chellaswamy C ganesh Babu R Vanathi A Department of Electronics and Communication Engineering Kings Engineering CollegeChennaiIndia Department of Electronics and Communication Engineering SRM TRP Engineering CollegeTiruchirappalliIndia Department of Electronics and Communication Engineering Rajalakshmi Institute of TechnologyChennaiIndia

Efficient utilization of a residential photovoltaic (PV) array with grid connection is difficult due to power fluctuation and geographical dispersion. Reliable energy management and control system are required for overcoming these obstacles. This study provides a new residential energy management system (REMS) based on the convolution neural network (CNN) including PV array environment. The CNN is used in the estimation of the nonlinear relationship between the residence PV array power and meteorological datasets. REMS has three main stages for the energy management such as forecasting, scheduling, and real functioning. A short term forecasting strategy has been performed in the forecasting stage based on the PV power and the residential load. A coordinated scheduling has been utilized for minimizing the functioning cost. A real-time predictive strategy has been used in the actual functioning stage to minimize the difference between the actual and scheduled power consumption of the building. The proposed approach has been evaluated based on real-time power and meteorological data sets.

关键词： building energy management convolution neural network photovoltaic coordinated scheduling