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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
    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.
  • ThesisItemOpen Access
    Artificial Neural Network model for prediction of fatigue lives of composite materials
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2006-06) Sharma, Jayesth Kumar; Misra, Anadi
    The application of composites as engineering materials has become state of art. Fatigue is one of the most complicated problems for fiber composites. Fatigue tests are expensive and time consuming. In all testing it is need to define a failure criterion in use. This is particularly difficult for fiber reinforced plastics. A potential solution to this problem is offered by artificial neural networks (ANNs). ANNs are an alternative to conventional programmed computing and are based on the operation of the human brain. In the present study an ANN model is developed for fatigue life prediction of carbon fiber reinforced plastics of two different lay up. The input to ANN model are lay up , volume fraction, monotonic properties, applied load parameters and probability of failure. The output of the ANN is logarithmic value of fatigue life cycles. The architecture selected has two hidden layers with 18 and 6 units each. The learning rate coefficient η = 0.9 and momentum factor α = 0.3 is selected. The predictions of fatigue life by ANN are comparable to experimental values. The percentage error in more than 92 percent cases is found to be less than 10 percent. The study of the effect of various monotonic properties on fatigue life prediction by ANN is studied. The trained ANN model is applied to predict the fatigue life of new materials of other group
  • ThesisItemOpen Access
    Ethanol production from apple pomace in natural and inoculated fermentation
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2006-07) Jain, Anshul; Singh, Anupama
    Apple pomace is the main by-product of apple juice processing industries and accounts for about 25% of original fruit mass. Its disposal in the environment results in production of foul smell and affects the aquatic life and ecosystem, which compels for its proper treatment. Apple pomace contains 9.5- 22.0% carbohydrates. Fermentable sugars in apple pomace such as glucose, fructose and sucrose can be converted to ethanol using yeast. Hence an effort was made to utilize apple pomace in production of ethanol. Experiments were designed using full factorial design method. Experiments were performed in two phases. In the first phase experiments for natural fermentation of apple pomace with variables as amylase treatment (treated and untreated), pH (2.5,4.0,5.0), and fermentation time (0,36,48,60,72,84h) were carried out and based on the results obtained from natural fermentation, experiments for second phase i.e. inoculated fermentation with variables as amylase treatment (treated), pH (4.0), yeast strains (Y2, Y5 and Y12) and fermentation time (0,36,48,60,72, 84 h) were carried out. Designed experiments were conducted to find the effect of these variables on sugar utilization, pH, cell count and ethanol production. Based on the data fermentation efficiency was calculated. The data from all experiments were analyzed and the response functions were developed using multiple regression analysis and second order models were fitted for each response. In natural fermentation of apple pomace, pH 4.0 and -Amylase treatment of apple pomace resulted in higher sugar utilization (8.13%), lower residual sugar (2.34%), maximum cell growth (169 X106 cfu ml-1) and higher ethanol production (3.956 %). In inoculated fermentation, of the three strains of yeast viz. Y2, Y5 and Y12, Y5 results in maximum sugar utilization (7.756%), maximum cell growth (289 X106 cfu ml-1) and higher production of ethanol (4.074 %) at 72 h of fermentation. Out of three strains of yeast, Y5 showed maximum fermentation efficiency of 74.55%. Analysis showed that initial pH and fermenting time both affected the process of ethanol production, in natural and inoculated fermentation but effect of initial pH was more significant in comparison to fermenting time. At pH 4.0, value of Specific Growth Rate () was 0.08 h-1 for -Amylase treated natural fermentation. This correlates with maximum ethanol production of 3.95%. In case of inoculation with yeast strain, Y5 has Specific Growth Rate of 0.07 h-1 and maximum value (4.07%)of ethanol produced. The linear effect of pH and fermenting time was significant in sugar utilization, change in pH and ethanol production. The effect of interaction between pH and fermenting time was significant in change in pH and non-significant in sugar utilization and ethanol production. Hence second order model could be fitted to predict sugar utilization, ethanol production and change in pH except cell count.
  • ThesisItemOpen Access
    Studies on water requirement, seasonal water use and yield of tea plantation under drip irrigation and mulching in Kumaon hills
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2006-07) Ramdas, Borkar Ajinkya; Singh, P.K.
    Irrigation and drainage are the two most important parameters of water management in tea plantation. In flat topography, irrigation in tea plantation is generally provided through the sprinkler irrigation system. However, in hilly terrain (terraced land system), where, availability of water is the major problem even for life saving irrigation. In such condition, efficient method of irrigation such as drip irrigation method would be feasible for irrigation of tea plantation by tapping existing low discharge springs or naulas / waterways and harvesting of rainfall in tanks. Keeping above in view, the study was undertaken to determine the water requirement of tea plantation under drip irrigation using the reference evapotranspiration values obtained from FAO Penman-Monteith model. Field experiments were conducted to study the response of drip irrigation and fertilizer scheduling and effect of polyhouse and mulching on growth, yield, quality, water use pattern, water use efficiency of tea plantation in Tea garden at Kausani, Uttaranchal. The water requirement of young tea plantation under drip irrigation varied from 16.9 to118.4 lit/month/plant at Kausani. Prior to the occurrence of hailstorm, total green leaf yield in the treatments irrigated at 80 % and 60 % water use level were 57.5 and 48.6 % higher as compared to control. During the post hailstorm period total leaf yield was reduced to 40 % and 32 % over control in respective treatments. It was also observed that 80% level of water use shows more leaf yield under F1 (2:1:2) and F2 (2:1:3) fertilizer levels, while, 60 % level of water use shows more production under fertilizer level F3 (2:2:2) and F4 (3:2:4). Soil water extraction pattern provides information about the 50 cm of the root zone of tea plantation actively involved in soil water and nutrient uptake. The daily average soil water uses of young tea in month of March, April and May was 5 mm, 11.5 and 11.7 mm, respectively. The value of Kc observed in March, April and May is 0.73, 0.94 and 0.96, respectively. Total green leaf yield inside the polyhouse without mulch and polyhouse with plastic mulching was 97 % and 104 % more than open field condition. Due to plastic mulching yield increase was 18 % under polyhouse. While, in open field condition increase in yield were 27 % and 18 % due to plastic and organic mulching, respectively. The estimated cost of gravity head drip irrigation system was Rs.65847 per hectare for tea plantation under double hedge method. The total yield predicted by CUPPA-Tea model is strongly matched with observed yield of tea under unirrigated conditions of 2004 and 2005. However, in irrigated condition due to insignificant soil water deficit and more frequent rainfall during dry periods do not show significant yield difference.
  • ThesisItemOpen Access
    Design, development and testing of jatropha (Jatropha curcas.L) fruit decorticator
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2006-07) Surya Prakash, D.S.P.L; Singh, M.P.
    A decorticating machine for separating the seed from husk of Jatropha fruit is ideal for large scale seed collection required by biodiesel industries. The decorticator was designed to suit the decortication requirements for Jatropha fruit after studying the physical properties of Jatropha fruit, seed and salient features for groundnut decorticator, accordingly the various design dimensions for different components were decided and it was fabricated in the department of Farm Machinery and Power Engineering laboratory, College of Technology, G.B.P.U.A&T, Pantnagar. The testing of the decorticator was conducted for four factors, each at 3 levels e.g. for cylinder speed 230 rpm(3.61m/s) ,262 rpm(4.11 m/s),295 rpm(4.63 m/s) and concave clearance 20 ,22.5 and 25 mm. Three types of rasp bar pyramidal projection, straight projection, helical projection and feed rates of 1.5, 1.75, 2 kg/min. The test results were analyzed by four factorial CRD using standard programme. The pyramidal projections type rasp bar has decortication efficiency in the range of 90.40 to 98.81 %. The visible seed damage, blown seed and cleaning efficiency varied from 0.52 to 2.66 % and 1.23 to 16.04 % and 95.74 to 99.50 % respectively. The straight projection type rasp bar has decortication efficiency in the range of 91.28 to 97.69%.The visible seed damage, cleaning efficiency and blown seed varied from 1.02 to 4.32 %, 97.16 to 99.41% and 1.48 to 14.70% respectively. The decortication efficiency for helical projection rasp bar varied from 87.40 to 98.49%, visible seed damage from 1.03 to 8.46 %, cleaning efficiency was in the range of 98.28 to 99.17 % and blown seed in the range of 1.15 to 14.92 %. On the basis of results obtained, it can be summarized that the performance of pyramidal projection rasp bar was better compared to straight and helical projection rasp bar types. In pyramidal projections rasp bar allows for proper holding of fruits because of pyramidal projections which have very small contact area with fruits during the application of shear force as it impinges and tears off the husk at a single point, thus causing lesser visible seed damage and better decortication efficiency compared to other two types of rasp bar. The best parameters of Jatropha fruit decorticator were found at cylinder speed 262 rpm (4.11 m/s), concave clearance 22.5 mm (depending on variety), blower speed 524 rpm (6.86 m/s) and eccentric speed 152 rpm and feed rate 1.75 kg/min. The power consumption was found to be 0.7 kWh.The power required to decorticate was 0.0077 kWh/kg of Jatropha fruit at feed rate of 1.75 kg/min. The operating cost of decorticator was found to be Rs 13.85/hr and Rs 0.15/kg of Jatropha curcas. L fruit.
  • ThesisItemOpen Access
    Design and development of a deep and differential rate fertilizer applicator and its field evaluation on potato crop
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2006-07) Rababi, Suman; Thakur, T.C.
    A deep and differential rate fertilizer applicator was designed and developed by selecting the best parameters from the previous studies. The equipment consisted of a rectangular frame, a central winged tine, two shallow winged leading tines, depth control device, a fertilizer box of 50 kg capacity, positive feed type fertilizer metering device and a ground wheel with chain and sprocket arrangement for transmitting power to metering mechanism. The equipment had the option to place fertilizers deeper (350 mm) with the central tine while placing the fertilizer upto 250 mm depth of soil with the leading tines, which would help to place fertilizer at different depths in single pass. All the three tines had their own metering system. Options were given to meter and deliver only 20% and as well as 15% of total fertilizer rate with the central tine whereas the remaining amount would be delivered by two shallow leading tines. The laboratory evaluation of the developed equipment showed co-efficient of uniformity more than 90% for the treatments decided for field evaluation of the equipment. The field evaluation was conducted in a sandy loam soil with four treatments viz. Disk Harrow × 4 (120 mm depth) + Planker x 1 + Application of full doses of P and K with developed equipment (80% at 150 mm and rest at 250 mm depth) + Planker x 1 (T1), Disk Harrow × 4 (120 mm depth) + Planker x 1 + Application of 80% of full doses of P and K with developed equipment (80% at 150 mm and rest at 250 mm depth) + Planker x 1 (T2), Disk Harrow × 4 (120 mm depth) + Planker x 1 + Application of full doses of P and K at 200 mm depth with developed equipment + Planker x 1 (T3) and Disk Harrow × 4 (120 mm depth) + Planker x 1+ Conventional fertilizer application (broadcasting) + Mixing with Disk Harrow (T4). The potato crop response studies showed that the morphological parameters like number of leaves, height and thickness of plant, dry matter accumulation in roots and plants were better in deep and differential rate placement. Moreover, the root profile study revealed the superiority of deep and differential placement over broadcast method of fertilizer application. The yield of potato was maximum in T2 (34.09 t/ha) which was very close to T1 (33.44 t/ha) but the values were almost 24% higher than T4. The results indicated to savings of around 20% fertilizer but at the cost of marginal decrease in dry matter of tubers (5.27%). Percentage of Grade-A tubers was maximum in T4 (30.40%) which was 2.08% higher than T1, 4.8% higher than T2 and 14.8% higher than T3.