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Govind Ballabh Pant University of Agriculture and Technology, Pantnagar

After independence, development of the rural sector was considered the primary concern of the Government of India. In 1949, with the appointment of the Radhakrishnan University Education Commission, imparting of agricultural education through the setting up of rural universities became the focal point. Later, in 1954 an Indo-American team led by Dr. K.R. Damle, the Vice-President of ICAR, was constituted that arrived at the idea of establishing a Rural University on the land-grant pattern of USA. As a consequence a contract between the Government of India, the Technical Cooperation Mission and some land-grant universities of USA, was signed to promote agricultural education in the country. The US universities included the universities of Tennessee, the Ohio State University, the Kansas State University, The University of Illinois, the Pennsylvania State University and the University of Missouri. The task of assisting Uttar Pradesh in establishing an agricultural university was assigned to the University of Illinois which signed a contract in 1959 to establish an agricultural University in the State. Dean, H.W. Hannah, of the University of Illinois prepared a blueprint for a Rural University to be set up at the Tarai State Farm in the district Nainital, UP. In the initial stage the University of Illinois also offered the services of its scientists and teachers. Thus, in 1960, the first agricultural university of India, UP Agricultural University, came into being by an Act of legislation, UP Act XI-V of 1958. The Act was later amended under UP Universities Re-enactment and Amendment Act 1972 and the University was rechristened as Govind Ballabh Pant University of Agriculture and Technology keeping in view the contributions of Pt. Govind Ballabh Pant, the then Chief Minister of UP. The University was dedicated to the Nation by the first Prime Minister of India Pt Jawaharlal Nehru on 17 November 1960. The G.B. Pant University is a symbol of successful partnership between India and the United States. The establishment of this university brought about a revolution in agricultural education, research and extension. It paved the way for setting up of 31 other agricultural universities in the country.

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  • ThesisItemOpen Access
    Modification of a CI engine into SI mode and its performance evaluation on biogas
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2007-07) Nagaraja, G.; Bhattacharya, T.K.
    In agriculture sector biogas is used in low horse power CI engines in dual fuel mode where about 30 percent diesel and 70 percent biogas are burnt in an engine to develop power. However, biogas has octane rating of 130 which is greater than the petrol (96) and therefore, there lies a potential to run such engines on 100 percent biogas by converting these engine into gas engines operating in SI mode. A constant speed, low bhp (7.4 kW), single cylinder, four stroke, direct injection, Kirlosker make engine having compression ratio of 16.5:1 was converted into SI mode. Major modifications include the removal of diesel fuel supply system, reduction of compression ratio (13:1), installation of spark plug, mounting of ignition system and provision of mixing device for supply of air-biogas mixture. The studies were conducted to assess the performance of modified CI engine on 100 percent biogas with particular emphasis on operational issues and efficiency of converted engine. Observation on suitability from ease of installation and operation as well as care and maintenance using both battery and magneto ignition system were also evaluated. The engine was operated with ignition timing of 250 BTDC. A long duration test of a converted CI engine coupled with an alternator (7.5 kVA) was conducted to evaluate the crank case oil quality when operating on 100 percent biogas. The performance of converted CI engine in respect of generator load, brake specific biogas consumption, thermal efficiency and emission of HC and NOX on biogas was evaluated. The fuel properties of biogas were also studied. The observed results of the experiment indicated that the CI engine converted to SI mode could develop maximum brake power of 4.5 kW on 100 percent biogas but at this output there was significant drop in engine speed. The drop in power is due to low heating value of biogas. It is therefore, suggested that the engine be operated at 1352 rpm developing 3 kW brake power for satisfactory operation of electrical devices through the coupled alternator and corresponding brake thermal efficiency was found to be 15.5 percent. The magneto ignition system found satisfactory for installation and operation than battery ignition system. The hydrocarbon and NOX emissions were observed lower on 100 percent biogas as compared to diesel and petrol. The long duration test of the converted engine on 100 percent biogas indicated no deterioration in crankcase oil quality however the engine should be operated for 500 hours for thorough evaluation of crankcase oil quality.
  • ThesisItemOpen Access
    Variable cost analysis of different agricultural tractors
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2007-07) Sanchavat, Hitesh; Verma, R.B.
    Tractor power is major source of energy input in the farm mechanization. Improving the performance the agricultural tractor has gained a unique importance due to increasing cost of farm inputs and low prices received for agricultural produce. Study was conducted on the effect of power range and make of tractor on the maintenance, repair and fuel cost of tractor. Tractors were classified into three power ranges .i.e. 16-26 kW, 26-36 kW and 36-46 kW and in each power range four make (M1, M2, M3 and M4) were selected for study. The basic data for maintenance and repair cost analysis of tractors were collected from the University Farms, Crop Research Centre, Instructional Dairy Farm and the farms in the near by area of Govind Ballabh Pant University of Agricultural and Technology, Pantnagar. Field experiment was conducted to evaluate fuel and specific fuel consumption of various make and power range of tractors at Crop Research Centre, Pantnagar, during the year 2006-2007. Variable cost in 16-26 kW tractors was Rs. 110.73, 114.46, 130.39 and 112.96 per hour for M1, M2, M3 and M4 make tractor respectively. Variable cost for 26-36 kW tractors was Rs. 146.29, 151, 170.89 and 176.89 per hour for M1, M2, M3 and M4 make tractor respectively. For 36-46 kW tractors variable cost was Rs. 197.22, 206.92, 217.19 and 270.72 per hour for M1, M2, M3 and M4 make tractor respectively. There was variation in maintenance, repair and fuel costs among the power ranges and make of tractors. Variable cost was minimum for M1 make tractors. Variable cost was maximum for M3 make tractors in 16-26 kW power range and it was maximum for M4 make tractors in 26-36 and 36-46 kW power ranges. Make of tractor and power have significant effect on specific fuel consumption. Variable cost and specific fuel consumption were increased with the power of tractor. Based on the variable cost and specific fuel consumption it was concluded that M1 make tractors have least expenditure under variable costs as compared to other make of tractors during initial 4000 hours of work.
  • ThesisItemOpen Access
    Effect of cyclic irrigation and fertigation on off season production of Capsicum (Capsicum annuum L.) under protected environment
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2007-05) Negera, Gonfa Bayissa; Singh, K.K.
    The present study was undertaken to investigate the ―Effect of Cyclic irrigation and Fertigation on Off –Season production of Capsicum (Capsicum annuum L.)Under protected environment. The site is located at experimental field of Department of Irrigation and Drainage Engineering, College of Technology, G. B. Pant University of Agriculture and Technology, Pantnagar. Soil solarization in polyhouses, studying of the various metrological parameters inside and out side the polyhouses, the response of different levels of irrigation and cyclic irrigation on the biometric observation of capsicum and studying economic feasibility of production of capsicum under polyhouses were some of the methods employed during the study. The result revealed that the general trend of the temperature of solarized soil has been higher near the soil surface and became cooler with increasing soil depth. The mean maximum temperature was higher in naturally ventilated polyhouse (NVPH)(33.06 0C) followed by open field condition (25.04 0C) than environmentally controlled polyhouse (ECPH)(24.66 0C) while the minimum temperature was also higher in the NVPH (13.05 0C) but followed by ECPH (12.85 0C)than the open field condition (11.46 0C). The mean daily variation of temperature at 9:00am was higher in NVPH (22.20 0C), followed by ECPH (20.12 0C) than the open field condition (19.67 0C). At the same time at 12:00hrs and 4:00pm it was higher in NVPH but followed by open field condition than in ECPH. The mean daily variation of relative humidity at 9:00am, 12:00hrs and 4:00pm was higher in NVPH followed by open field than the ECPH while the mean daily variation in solar intensity at 9:00am, 12:00hrs and 4:00pm was higher in open field followed by ECPH than NVPH. The crop evapotranspiration (ETc) was higher in open field, followed by NVPH than in ECPH. The average mean daily ETc in open field, NVPH, and ECPH were 2.40, 2.00 and 1.72mm/day respectively. During the six month off-season growing period the total water required at 100% level of irrigation in ECPH was 209.44mm and at 75% level 157.08mm and in NVPH at 100% level 243.98mm and at 75% 182.99mm while in open field 307.27mm depth. The yield of capsicum per plant and per square meter was maximum in ECPH (2.63kg/plant, 9.71 kg/m2) followed by NVPH (2.51kg/plant, 9.16kg/plant) and in open field (0.49kg/plant, 1.81kg/m2). In NVPH the mean value of yield per m2 was significantly higher in split fertigation treatment (10.63kg/m2) than normal fertigation, N (8.39 kg/m2). At the same time at 100% level of irrigation the mean maximum value of yield per m2 was 9.27kg/m2 than 75% level 9.04kg/m2. During Of-season production of Capsicum under different level of irrigation and cyclic irrigation and fertigation was more economically feasible in NVPH at the selling price above 15Rs/kg than ECPH and open field condition.
  • ThesisItemOpen Access
    An ANN based approach for assessment and improvement in voltage stability of power systems
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2007-02) Negi, Geeta; Swami, A.K.
    Use of new technologies and the growth in interconnections are continuously increasing the complexity of the system. These highly complex modern power systems are operating in severely stressed conditions due to economical and environmental considerations rendering them venerable to frequent failures. Voltage stability has become a major concern as the present system is operating near its maximum capacity level. To get information regarding voltage stability margin and its improvement, various methods has been used in past. This work deals with L-index and VCPI techniques to calculate the stability margin and give information about the weak areas of the network. By using L-index the settings of control strategies can be known and by making proper changes in these values the operator of ECC can avoid the unwanted situations. ANN is an intelligent tool with parallel computational capability. It can perform nonlinear mapping in short duration. Once neural network is trained, it provides acceptable recommendations in a short time, which is suitable for online application. Here ANN is used to predict the values of L-index, VCPI, and control Quantities (generator excitation and settings of SVCs), which become helpful to the operator for handling the unfavorable conditions. These methods are applied on IEEE-9 bus and IEEE-14 bus system. An attempt is made to find best results that the voltage stability margin can be assessed and improved.
  • ThesisItemOpen Access
    Optimization and Artificial Neural Network (ANN) modeling of oil expression from enzyme treated Jatropha curcas L. (Ratanjot) on a hydraulic press
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2007-06) Durgesh Nandini; Pandey, R.K.
    Rapid urbanization, agricultural mechanization and increase in vehicular population enhance demand for fuel. So meeting the energy requirements in a sustainable manner is a major challenge. Among the many tree species which can yield oil as a source of energy in the form of bio-diesel, Jatropha curcas L. (Ratanjot) has been found most suitable due to its various favorable attributes like hardy nature, short gestation period, high oil recovery and quality of oil Study was conducted to optimize and to develop Artificial Neural Network (ANN) models for oil expression from Jatropha curcas L. (Ratanjot) on a hydraulic press. Experiments were planned using full factorial design in two phases. In the first phase of experimental design, three levels of husk percentage, five levels of pressure and five levels of holding time were taken as independent variables. In a similar way five levels of enzyme concentration, five levels of pressure and five levels of holding time were taken as independent parameters in the second phase of experiments. Line curves, surface plots and iso-oleum curves were developed to show the effect of independent parameters on oil expression. Empirical mathematical models representing oil expression in terms of single and multiple responses of process parameters were developed using SPSS software. Optimization of variables was performed by partial differentiation of multiple regression equation with respect to each variable and then solving the coefficient matrix on MATLAB software. In order to have a better prediction of unseen input conditions within the experimental range Artificial Neural Network (ANN) modeling of oil expression process was carried out using back propagation algorithm and MATLAB software. Enzymatic treatment substantially enhances oil expression from 87% with hydraulic pressing alone to 91% for hydraulic pressing with enzymatic treatment. The optimum conditions of husk percentage, pressure and holding time for maximum oil recovery were obtained as 87.40%, 45.63 MPa and 27.09 min respectively. Optimum conditions of enzyme concentration, pressure and holding time for maximum oil recovery were obtained as 110.73mg/100 g dry matter, 43.83 MPa and 17.42 min respectively. Optimum architecture of ANN for training at different husk percentages was found to be two hidden layers with 8 and 11 nodes in first and second hidden layer while that for samples at different enzyme concentrations was found to be two hidden layers with 9 and 11 nodes in first and second hidden layer respectively. Both in case of training and testing results of output predicted by ANN architecture shows good agreement with experimental values.
  • ThesisItemOpen Access
    GIUH models based on uniform and non uniform stream flow velocities
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2006-07) Behera, Ramakanta; Akhilesh Kumar
    The present study was carried out with the objective to develop mathematical models for Geomorphologic Instantaneous Unit Hydrograph by considering uniform stream flow velocity as well spatial distributed (non uniform) stream flow velocity along the stream network. In this approach, a unifying synthesis of the hydrological response of a catchment to surface runoff is attempted by deriving equations of general characteristics which express IUH as a function of Horton‟s numbers i.e. area ratio (RA), bifurcation ratio (RB) length ratio (RL), an internal scale parameter (LW) denoting the length of the highest order stream; and the peak velocity of the stream flow (v). In the present study, these geomorphologic properties of the watershed were determined by using Horton‟s stream order laws. GIUH model formulation was attempted considering the uniform and non uniform stream flow velocities in the watershed network. In case of uniform flow velocity, the stream flow is assumed to be constant throughout the watershed network and the flow velocity was determined from the geomorphological quantities of the network and the intensity of the effective rainfall, while in case of variable velocity model the flow velocity was considered to vary according to the slope pattern of the network of various order of streams. The conceived models were developed by using the geomorphological and hydrological data of a small hilly watershed known as “Arki watershed” comprising an area of 2460 ha in Solan district of Himachal Pradesh (India). The performance of both the models viz., GIUH with uniform and non uniform flow velocities has been evaluated for the study area considering sixteen storm events by employing various statistical error indices. Based on qualitative and quantitative comparison it was observed that both the GIUH models based on uniform and non uniform flow velocities are applicable for the study area. However, on the basis of the calculated values of statistical indices it was found that the GIUH-UV model performed better in comparison to the GIUH-VV model except in the computation of peak rate of runoff where the GIUH-VV was found to be better performing than GIUH-UV model.
  • ThesisItemOpen Access
    Modelling of finger millet grinding processes in a hammer mill
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2006-05) Mitra, Jayeeta; Sah, P.C.
    Finger millet (Eleusine coracana) is one of the commonly used millet among the poor people of Uttaranchal due to its cheaoer availability and nutritional value. Grinding is the most important operationfor finger millet (ragi) since ragi mostly used in ground form as composite flour for bread, biscuit weaning food or for making chapati, porridge etc. This study envisaged analysis of grinding behaviour of finger millet in batch, semi-continuous and continuous system in affixed blade type hammer mill under different operational conditions. In case of batch grinding, the effect of grinding speed, batch size (100g and 200g) and time of grinding on power and energy consumption and particle distribution were observed. The speed of operation ranged from 600 rpm to 1800 rpm and time of grinding was considered from 2.5 min to 25 min. size distribution was done by sieve analysis using 10 standard sieves (1.00mm to 0.045mm diameter). Semi-continuous grinding experiment were conducted to study the effect of speed (600 and 1500 rpm) and percentage filling of grinding chamber(10 to 50%) on grinding behaviour of the mill. In case of continuous grinding process the effect of mill speed, ranging from 1200 to 1800 rpm on the power and energy consumption and particle size distribution were measured taking a constant feed rate of 1 kg/hr. The sieve used for semi-continuous and continuous grinding experiment was having hole diameter of 0.50mm. Mathematical modelling of the grinding characteristics was done to predict the behaviour of mill under different operational conditions. Energy modelling were also attempted using three different energy laws namely Rittinger’s Law, Kick’s Law and Bond’s Law. Suitable average particle diameter was defined to be used in energy modelling as final ground particle dimension.
  • ThesisItemOpen Access
    Specimen geometry and material property uncertainity model for probabilistic fatigue life predictions
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2006-08) Bhatt, Sandeep; Gope, P.C.
    The analysis of cracks within structure is an important application if the damage tolerance and durability of structures and components are to be predicted. As part of the engineering design process, engineers have to assess not only how well the design satisfies the performance requirements but also how durable the product will be over its life cycle. Often cracks cannot be avoided in structures; however the fatigue life of the structure depends on the location and size of these cracks. In order to predict the fatigue life for any component, crack growth study needs to be performed. Fatigue life is related to and is affected to a great extent with the uncertainties in both the material properties and the specimen or component geometrical parameters. The intent of the work is to contribute to the fundamental understanding of fatigue life and its relation with these uncertainties. Fatigue life data exhibits wide scattered results due to inherent microstructural inhomogeneity in the material properties even if the test specimens are taken from the same lot and tested under same loading condition. As the fatigue testing is time consuming and costly, setting up of an analytical method for prediction of fatigue life is necessary. In the present work an approximate analytical model derived from the energy theorem and probabilistic nature of material properties and specimen geometry parameters are combined and correlated to determine the associated error in the predicted fatigue life. The prediction is based on minimization of error. The predicted values of fatigue life are compared with the experimental values available in literature.
  • ThesisItemOpen Access
    Groundwater modelling in Ganga-Ramganga interbasin using fuzzy logic and ANFIS
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2006-06) Patil, Vikas Vitthal; Sharma, H.C.
    The realisation of the concept of natural resources and its conservancy is presently looked upon as one of the main interests of our civilisation. Water has a unique position among the natural resources and is one of the major components of our economic advancement. Keeping this in view, the present study was conducted in the selected area of Ganga-Ramganga interbasin of Uttar Pradesh with specific objective to develop groundwater models using Fuzzy Logic Rule Based Algorithm, and Adaptive Neural Fuzzy Inference System (ANFIS), and to evaluate the models’ performance on the basis of performance indicators. Various components of groundwater recharge and discharge were estimated for preparation of input data set of the study area. The Fuzzy logic rule based algorithm technique was adopted to develop the groundwater model. Groundwater recharge, groundwater discharge and previous water table elevation above mean sea level were considered as input and the water table elevation as consequence variable for the model development. All input and output variables were separately divided into seven subsets. The Fuzzy rule base was formed based on the basis of historical data and intuition. The centroid defuzzification method was adopted to obtain crisp value. For developing such models the area was divided in to 43 polygonal nodes to account for large spatial variation in the region. Thus as many as 86 models were developed in order to predict pre- and post-monsoon water table elevations for 43 nodes. All the models performed well when evaluated using statistical and hydrological performance indicators. Keeping the potential of Adaptive Neuro-Fuzzy Inference System (ANFIS) technique in view, it was applied for developing a single model separately for, pre- and post-monsoon conditions for all 43 nodes. The input and output variables were same as in Fuzzy logic rule based models. The water table elevation predicted by ANFIS model was compared with the observed values and performance of the model was tested using various performance criteria. The results revealed that both models performed well for the prediction of the water table elevation. When compared, the Fuzzy logic rule based models performed better than ANFIS models on the basis of performance indicators. However, the ANFIS technique had advantage of having single model for whole study area for each season.