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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
    Optimization of process parameters for drying of lotus root slices
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-11) Reena Kumari; Omre, P.K.
    The experiment was carried out to standardization of pre-treatment for prevention of browning ant to study the drying characteristics of lotus root slices under different drying conditions. The material was given chemical treatment (Ascorbic acid, Sodium bicarbonate and Potassium metabisulphite) for 10 min. and physical treatment like hot water blanching at 70, 75 and 80 0C for 3, 6 and 9 min. at each temperature. The browning index were measured for 0 to 5 h at every 1 h interval. Based on the browning index, the 0.3 % KMS and hot water blanching at 70 0C for 6 min. + 0.3 % KMS selected as pre-treatment prior to drying. The fresh (untreated) and pre-treated samples was dried at 60, 70 and 80 0C using the tray dryer. The quality parameters of the dried product like rehydration ratio, moisture diffusivity, colour parameters (L*, a* and b*), total phenolic content and antioxidant activity were determined. The initial moisture content was 76.32, 78.24 and 84.56 % (wb) of fresh, dipping in 0.3 % KMS for 10 min and hot water blanching at 70 0C for 6 min. than dipping in 0.3 % KMS for 10 min, samples, respectively. Dehydration characteristics of revealed that drying took place in the falling rate period irrespective of treatment and temperature of drying. The hot water blanched (70 0C for 6 min) + chemical (0.3 % KMS) samples took the least time for drying followed by sample treated with 0.3% KMS and untreated (fresh). The optimized browning index was minimum (1.498 to 4.963) for 0.3 % KMS as compared to 5.337 to 16.02 and 2.73 to 9.227 for 1.5% sodium bicarbonate and Ascorbic acid, respectively. For blanched samples browning index was minimum (3.08) at 70 0C for 5.44 min. as compared to others blanched samples. The rehydration ratio was varied from 1.56 to 2.82, 2.09 to 3.50 and 1.68 to 3.32 for samples with treatment T1 (control), T2 and T3, respectively. The maximum RR was observed for treatment T2 treated samples followed by samples treated with T3 and T1 under all drying conditions, respectively. The maximum RR was 3.58 of 2 mm thick samples treated with T2 treatment. The maximum effective moisture diffusivity 9.37 Ɨ 8.85 Ɨ and 10.59 Ɨ m2 s-1 of 6 mm thick sample treated with treatment T1, T2, and T3, respectively. The total phenolic content of the fresh lotus roots slices extract was found 4.23 mg GAE/g dw. The total phenolic content of dried samples was varied from 2.14 to 2.71, 2.61 to 3.28 for samples treated with treatment T1, T2 and T3, respectively. The maximum phenolic content was 3.51 of 4 mm sample treated with treatment T2. The antioxidant activity of the fresh lotus roots slices was found 93.71 %. The antioxidant activity of dried samples was varied from 62.58 to 78.88, 68.65 to 81.29 and 64.96 to 78.10 for samples treated with treatment T1, T2 and T3, respectively. The maximum antioxidant activity was 81.29 of 4 mm sample treated with treatment T2. The colour parameters L*, a* and b* of fresh lotus root slices were found 100.32, 3.76 and 9.99, respectively. It was observed that the L* values increase as increase in temperature (60 to 80 0C) and decrease as slices thickness increase (2 to 6 mm). Besides that, the values of a* and b* increase as increase in temperature (60 to 80 0C) and slices thickness (2 to 6 mm) of all samples.
  • ThesisItemOpen Access
    Evaluation of FAO56-pm Et0 model under meteorological data limiting scenarios at semi-arid Hissar district of Haryana
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-08) Gupta, Vikash; Tomar, Arvind Singh
    This study was carried out with objectives, (i) to compare performance of FAO56-PM model with derived individual meteorological parameters and their different combinations with full meteorological dataset FAO56-PM estimates, and (ii) to decide minimum meteorological parameters required for acceptable accuracy of obtained ET0 values in comparison to standard FAO56-PM ET0 estimates. The study was carried out in semi-arid climate condition of Hissar district of Haryana using daily meteorological dataset collected for a period of 25 years (1992-2016) from IMD, Pune. Due to severe data gaps, five year (1997, 1999-2002) meteorological data was not considered. The daily meteorological dataset was classified into 52 SMWs and 12 months in tune with CWS-1 format recommended by IMD, Pune for obtaining results on weekly and monthly basis. The performance evaluation of 55 cases of derived individual meteorological parameters and their combinations in comparison to FAO56-PM estimates using full weather dataset was done on the basis of statistical indices namely, agreement index, coefficient of determination, standard error of estimates, weighted root mean square difference. The ranking of these 55 cases was decided on the basis of Global Performance Indicator (GPI) values. MicrosoftTM Excelļƒ’ software was used as computing tool to draw fruitful inferences. The obtained results revealed that (i) saturation vapour pressure estimated using mean air temperature has least influence on FAO56-PM model and can be successfully used if only mean air temperature data is available, (ii) among different combinations of two, three and four derived individual meteorological parameters, combinations esB-Rs, esB-Rs-Ul and ea(k3)-esB-Rs-Ul showed best performance at all timescales, (iii) to get ET0 values at par with standard FAO56-PM model, relative humidity is most important meteorological parameter followed by wind speed and solar radiation, (iv) when reliable data of relative humidity is not available, it will be appropriate to use ea(k3) for estimating actual vapour pressure instead of minimum air temperature, (v) the effect of unavailability of solar radiation data was least on performance of standard FAO56-PM model and it could be accurately estimated by using maximum and minimum air temperature, (vi) in absence of wind speed data, long-term average wind speed of study area must be used, (vii) air temperature (minimum and maximum and/or mean) and long-term average wind speed data are minimum meteorological data required for estimating accurate ET0 values with FAO56-PM model at a place.
  • ThesisItemOpen Access
    Evaluation of FAO56-pm model against various forms of valiantzas ET0 equations in arid climatic condition
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-08) Nigadi, Ramesh Rajendra; Tomar, Arvind Singh
    The present study was conducted to evaluate different forms of Valiantzas ET0 equation in comparison to standard FAO56-PM model in arid Jodhpur district of Rajasthan in terms of different statistical indices. The objectives of this study were, (i) to evaluate performance of different forms of Valiantzas equations against standard FAO56-PM method at different timescales; and (ii) to identify most performing Valiantzas equation in terms of Global Performance Indicator (GPI) for its adaptability under Indian arid conditions. For this study, daily meteorological dataset was collected from IMD, Pune for a period of 24 years (1992-2015), however, due to severe data gaps, dataset of three years (1995, 1999 and 2000) was not considered in this study. The daily meteorological was classified into 52 SMWs and 12 months in tune with CWS-1 format, recommended by IMD, Pune. The MicrosoftTM ExcelĀ® was used as computing tool for conducting analysis and draw fruitful inference from them. Prior to analysis, quality control of weather dataset was ensured by detecting missing data and outliers. The analysis revealed that, (i) All seven Valiantzas equations requiring full weather dataset showed excellent performance at all timescales in comparison to other forms of Valiantzas equations, (ii) Valiantzas equations not requiring wind speed data and both relative humidity & wind speed data produced good ET0 estimates on daily, weekly and monthly basis, (iii) Among all Valiantzas equations requiring full meteorological dataset, Val 7 equation performed best with highest GPI values on daily, weekly and monthly basis, (iv) All seven equations requiring full meteorological dataset under-estimated FAO56-PM ET0 values approximately in between 11.07 and 22.19% (daily basis), whereas, variation was in the range of 11.06 to 22.20% for both weekly and monthly basis, (v) Among Valiantzas equations not requiring wind speed data, Val 9 equation showed best performance as it produced highest GPI value at all three timescales, however, they under-estimated FAO56-PM ET0 values in between 7.30 to 36.38% on daily basis and in between 7.43 to 36.38% at both weekly and monthly basis, (vi) Among Valiantzas equations not requiring both relative humidity and wind speed data, Val 16 equation showed best performance with highest GPI value on daily, weekly and monthly basis, however, they under-estimated FAO56-PM ET0 estimates in the range of 61.78-66.75% on daily basis, and from 61.82 to 66.78% at both weekly and monthly basis, (vi) In three individual forms of Valiantzas ET0 equations, Val 2, Val 13 and Val 15 equations performed worst on daily, weekly and monthly basis, respectively with lowest GPI value, (vii) Among all 16 Valiantzas equations, Val 7 equation showed best performance while Val 13 equation was adjudged worst at all timescales of daily, weekly and monthly basis, (viii) All 16 Valiantzas equations under-estimated FAO56-PM ET0 values in between 7.30 to 66.75%, 7.43 to 66.78% and 7.43 to 66.78% on daily, weekly and monthly basis, respectively.
  • ThesisItemOpen Access
    Physico-mechanical properties of agro waste and waste tyre rubber hybrid composite and development of fluted roller for millets
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-09) Joshi, Ajeet Kumar; Singh, T.P.
    Every year about 511.04 MMt of agro waste is generated in India which are either burnt or gets naturally converted into organic fertilizer if are under favourable conditions. It holds huge potential to be utilized effectively. Use of natural fibre along with polymeric matrix has been vigorously pursued in the last decade because of their advantages of being environment friendly, biodegradable and economical. However, limited work has been done in development of agricultural and machine components using agro-waste. Sowing is the pivotal operation in cultivation of any crop. Sowing of finger millets in India is still performed by broadcasting because of lack of suitable mechanization for finger millets sowing. In the present work agro waste namely rice husk, wheat straw, pine needle and waste tyre rubber has been used along with epoxy resin to develop a composite material. The physical and mechanical properties of composites at 2, 4 and 6 wt. % were determined. The properties of waste tyre rubber reinforced with agro waste in epoxy matrix at 2 wt. % each was also determined. The results revealed that tensile strength, compression strength and hardness, density of the composite decreases with incorporation of filler material to the matrix. The incorporation of waste tyre rubber with agro waste had improve the machinability, decrease water absorption and increase ductility of composite material. The composite material were found suitable for developing fluted roller and fluted roller were fabricated using Unreinforced and Hybrid composite. Waste tyre rubber reinforced with pine needle hybrid composite and Waste tyre rubber reinforced with rice husk hybrid composite at 2 wt. % each filler material were recommended for fabricating fluted roller. The statistical analysis of laboratory testing results for fluted roller revealed that seed rate increased significantly with the increase in exposure length while the variation of seed rate with forward speed was found insignificant.
  • ThesisItemOpen Access
    Naturally ventilated polyhouse: structural analysis, design and evapotranspiration based irrigation scheduling of Broccoli crop
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-08) Semwal, Nishant; Singh, P.K.
    The present study was undertaken to investigate the ā€œNaturally Ventilated Polyhouse: Structural Analysis, Design and Evapotranspiration Based Irrigation Scheduling of Broccoli Cropā€. To meet the first objective, study was carried out to determine the structural characteristics of twelve polyhouses located in the four agro-climatic zones under different farming situations of Uttarakhand. Loads acting on the trusses of polyhouses were analysed by STAAD.Pro software. Information about polyhouse material properties, placement and arrangement in the study area was gathered by actual measurement on the site. On the basis of this analysis compression and tension forces of all trusses were determined to get the safe load of each and every members of polyhouse trusses. The study reveals that out of 12 polyhouses under the study, 8 and 4 polyhouses were safe and unsafe respectively to bear the various loads acting on the structure. Another aspect of the study was to design polyhouse structure suitable for the hills of Uttarakhand with economical cost. Two polyhouse trusses were analysed by STAAD.Pro software considering different loads and their combinations. The total cost of polyhouse was 46,000 ā‚¹ for polyhouse-I and 89,700 ā‚¹ for polyhouse-II. The effect of different drip irrigation levels on growth, yield and water productivity of broccoli crop under naturally ventilated polyhouse was also investigated at the experimental site of the Department of Irrigation and Drainage Engineering, College of Technology, G. B. Pant University of Agriculture and Technology, Pantnagar. The total area of the experiment was 60 m2 of open field broccoli crop and 100m2 in naturally ventilated polyhouse. Total area was divided into eighteen plots under polyhouse and nine plots in open field, respectively. The size of each plot was 3m Ɨ 1m. The experimental design was a randomized block pattern having three treatments for open field and six treatments under polyhouse. All the treatments have been replicated thrice. This study consists of three levels of irrigation (100, 75 and 50% of ETc with and without plastic mulch). The drip tapes having 20 mm diameter were spaced at 0.5 m. The discharge of the drip tape was 1.2 l/h at 1.0 kg/cm2. After 60 days of transplanting, the plant height (70.023 cm), plant spread (66.40 cm), stalk diameter (3.65 cm) and head yield (15.6 t ha-1) were observed maximum in treatment T3 (drip irrigation at 75 percent level of pan evaporation with plastic mulch). The maximum water use efficiency (0.0173 kg/m2-mm) and maximum water productivity (59.22 l/kg) was recorded at treatment T3 (75 percent level of pan evaporation with plastic mulch). After 60 days of transplanting, the plant height (56.83 cm), plant spread (47.47 cm), stalk diameter (2.43 cm) and head yield (9.8 t ha-1) were observed minimum in treatment T9 (drip irrigation at 50 percent level of pan evaporation without plastic mulch). The minimum water use efficiency (0.0123 kg/m2-mm) and minimum water productivity (84.55 l/kg) was recorded at treatment T9 (50 percent level of pan evaporation without plastic mulch).
  • ThesisItemOpen Access
    Optimization of land and water resources in Kichha Canal Command using linear and fuzzy linear techniques
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-08) Verma, Ankita; Yogendra Kumar
    The present study was conducted in the Kichha canal command located in Rudrapur block of district Udham Singh Nagar of Uttarakhand and Baheri block of Bareilly district of Uttar Pradesh. The total culturable command area (CCA) of the Kichha canal command is 8819 ha out of which 8640 ha (96.95%) is the part of Baheri block and the remaining 179 ha (3.05%) of CCA is the part of Rudrapur block. The study was aimed to study the groundwater behaviour, to assess the groundwater development stages in the Kichha canal command and to study the existing performance of canal system and to develop crop plans for optimal utilization of land and water resources using linear and fuzzy linear optimization techniques. From the depth to water table contour maps, it was found that in Baheri and Rudrapur blocks the water table varied between minimum 2 m to maximum 7.5 m during the study period i.e. 1999- 2014. The study of groundwater development stage of Baheri and Rudrapur blocks showed that the Baheri block changed from safe to semi-critical category whereas the Rudrapur block remained under safe category, whereas the overall groundwater development stage of the Kichha canal command changed from safe to semi-critical category over the study period of 22 years. The reason behind the increase in the development stage was the significant increase in the number of minor irrigation structures, including private and government tubewells, resulting in increased groundwater withdrawal in the command area. The performance of Kichha canal command was evaluated in respect of adequacy, dependability, efficiency and equity by dividing the canal system into three reaches namely, head, middle and tail comprising of 4 and 2 minors and 3 distributaries, respectively. The indicators suggested by Molden and Gates (1990) were used in the performance evaluation. The analysis revealed that the adequacyof canal system was ā€œpoorā€ i.e. the canal system could not supply the desired amount of waterin the command area. The dependability of the Kichha canal system was found as ā€œpoorā€ i.e. the canal system was not able to supply water uniformly throughout the three sections namely, head, middle and tail reaches, of the canal. The efficiency of canal system varied from ā€œpoorā€ in head reach, ā€œfairā€ in middle reach and ā€œgoodā€ in tail reach, indicating that the canal system was able to supply water efficiently in middle and tail reaches though additional water was required to be released in the head reach of canal system. Due to poor distribution of water in the command, the overall equity of the Kichha canal system was found as ā€œpoorā€. It was observed that the performance of canal system could be improved by adopting a water release pattern based on the water requirement of the cropping pattern. The optimization of land and water resources in the Kichha canal command was performed for two crop plans using linear and fuzzy linear programming. The crop plan-1 was based on minimum food requirement of population and the crop plan-2 was based on the cropped area under different crops under existing cropping pattern in the command. It was observed that the net return from crops increased with increase in additional groundwater available. The additional groundwater availability i.e. at existing groundwater development stage, 50% and 100% increase, was estimated for last five years (2013-2017). The best optimized crop plan, obtained using fuzzy linear programming, was plan-2 (without summer rice). The maximum net return of Rs 52.47 Cr was obtained with 100% increase in additional groundwater availability. The land allocated to wheat, potato, pea, mustard, lentil, paddy, maize, soyabean and sugarcane under this optimal solution was 5763.16 ha, 8.41 ha, 158.72 ha, 261.72 ha, 45.00 ha, 6287.98 ha, 8.66 ha, 2.09 ha and 2328.57 ha respectively which was about 65.30%, 0.09%, 1.79%, 2.96%, 0.51%, 71.30%, 0.09%, 0.02% and 26.40% respectively of the total cropped area in the command.The crop plan-2 without considering summer rice yielded higher net returns as compared to the optimal land allocation through linear programming approach in the similar command area.
  • ThesisItemOpen Access
    Optimal operation policy of Tumaria reservoir under climate change scenario using non-linear programming
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-08) Yesubabu, Vinnakota; Harish Chandra
    Water is a renewable source but extreme handling causes severe environmental and economical unevenness. It is necessary to use the surface water in an optimal way. Due to the rapid industrialization including deforestation, changes in the land cover, irrigation and other changes have been occurred in hydrologic systems. Climate data prediction for future is compulsory to evaluate the changes in precipitation and temperature in future period. The present study has been conducted on Tumaria reservoir system situated in Jaspur block of district Udham Singh Nagar of Uttarakhand state in India. The latitude and longitude of the reservoir is 29o 20ā€™ N and 78o 55ā€™ E, respectively with the culturable command area of 72844 ha. The AOGCM models tried with monthly temperature and precipitation data were CGCM2, HadCM3, CSIRO MK 2 and ECHAM 4. The model which fitted the best to the observed values was found out. HadCM3 simulated the precipitation and temperature values accurately than the other models and it was selected for the estimation of future precipitation and temperature change. Rainfall-runoff modelling of catchment area of Tumaria reservoir using IHACRES for base period was done. The monthly inflow volume into the reservoir for future period using IHACRES was calculated for future period. Results showed that the inflow volume into the reservoir will decrease by 2.6 percent for future period than the base period. Regression relationship between reference evapotranspiration and temperature was developed in the base period and it was used for the estimation of reference evapotranspiration for future period. An average increase of 0.99 to 34.26% was expected in water requirements for different crops during future period and the crop water demand will increase by 19.54% than the base period. The non linear programming model was used to find out optimal operation policy for baseline and future period considering reservoir storage, spill volume and release volume of reservoir as constraints. Results showed that Tumaria reservoir has the ability to satisfy only 53% of the crop water demand in all months of base period. Because of an increase in temperature in the command area, the crop water demand will increase and inflow volume into the Tumaria reservoir will decrease, so in future period the reservoir will satisfy only 48% of the crop water demand in future period. This decrease in the performance of reservoir is due to the climate change impact on the catchment and command area of Tumaria reservoir system.
  • ThesisItemOpen Access
    Determination of aquifer parameters using ANN and classification learner by generating synthetic pumping test data
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-08) Vaishnavi, P.N.A.; Shiv Kumar
    Determination of aquifer parameters has become a very challenging task for the groundwater researchers as the existing conventional methods are either less reliable or quite expensive. Thus, there was development of some reliable and convenient approaches for estimating the aquifer parameters which involved soft computing techniques. Artificial Neural Network is one of those soft computing techniques that could be used to identify the non-linear behavior of groundwater flow problems and could provide an alternate method of determination of aquifer properties. In the present study, Artificial Neural Network was used to estimate the properties of confined and leaky confined aquifers while the Classification Learner was utilized to estimate the properties of aquitard. The synthetic data were generated using the mathematical equations of viz. Theis and Hantush-Jacob for confined and leaky confined aquifers, respectively. A total of 26x1155 and 26x19360 samples of data were generated by assuming a standard range of aquifer parameters in case of confined and leaky confined aquifers, respectively. When these generated data were analysed a great redundancy was found in case of data generated for leaky confined aquifer. These redundant data were eliminated therefore, the number of samples remained only 26x1870 in case of leaky confined aquifer. The generated drawdown data per unit discharge along with the values of distances of observation well from pumping well were normalized and were treated with Principal Component Analysis (PCA) to reduce their dimensionality. The dimensionality of data reduced from 27x1155 to 5x1155 and 27x1870 to 5x1870 for confined and leaky confined aquifers, respectively. These Principal Components with a total of 99.99% variance were used as input data to Artificial Neural Network to predict the parameters of confined and leaky confined aquifers viz. Transmissivity and Storage coefficient as output. A total of 180 Feed Forward Back Propagation Neural Networks (FFBPNN) with different number of neurons and different number of combinations of neurons in case of single and two hidden layer networks, respectively, trained by the fastest Levenberg-Marquardt training algorithm were tried to predict the parameters of confined and leaky confined aquifers. The best Neural Network structures to determine the properties of confined and leaky confined aquifers were determined based on values of performance indicators provided by the Neural Network GUI of MATLAB. The best neural network structures for predicting the Transmissivity of confined and leaky confined aquifers were the networks with 15, 10 and 15, 10 hidden neurons in the two hidden layers, respectively. The best neural network structures for predicting the Storage coefficient of confined and leaky confined aquifers were the networks with 15, 10 and 15, 10 hidden neurons in the two hidden layers, respectively. The leakage factor in case of leaky confined aquifers was determined using Classification Learner as these data were discrete. The best algorithm that could classify the aquitard property i.e. Leakage factor in case of leaky confined aquifer was cubic SVM. The best algorithm that could classify the aquitard property i.e. Leakage factor in case of leaky confined aquifer was determined using the percentage of accuracy provided by the classification learner application of MATLAB.
  • ThesisItemOpen Access
    Assessment of groundwater quality in Darau and Khamaria canal command using multivariate statistical techniques and water quality indices
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-08) Bisht, Mayank Singh; Shiv Kumar
    The present study was conducted in Darau and Khamaria canal command located in Rudrapur block of Udham Singh Nagar district of Tarai region of Kumaon division of Uttarakhand. The extent of the study area is 30.60 kmĀ². The sampling of groundwater of shallow aquifer was done at 23 locations during pre-monsoon and post-monsoon seasons and the collected groundwater samples were analyzed for 24 physico-chemical parameters. The descriptive statistics was applied to the values of physico-chemical parameters to assess different statistical parameters. The box plot technique was also applied for descriptive statistics. Cluster analysis was applied using SOM and K-means algorithm to classify the sampling sites into clusters. Factor analysis was applied to determine the dominating physico-chemical parameters contributing to the pollution of groundwater at a particular sampling site. Drinking water quality was assessed using BIS standards and drinking water quality index with and without considering heavy metals. The groundwater of the study area was also assessed for irrigation using irrigation water quality index, seven irrigation water quality parameters and the criteria given by Richard (1954), Wilcox (1955); Westcot and Ayers (1984). On the basis of this study, the box plot method was found to be an easy and effective way to analyze and represent the parameters of descriptive statistics. Total two clusters were derived and cluster 2 was found to be more polluted as compared to cluster 1. On the basis of factor analysis, it was concluded that the sampling sites in Milak village (MVR-8) and Saijna village (SVR-18) were most polluted sampling sites in the study area. The groundwater at all the sampling sites in the study area was found unsuitable for drinking. On the basis of irrigation water quality index, the groundwater at shallow aquifer in the study area was under low to moderate restriction except Rehpura village (RVR-20) where groundwater was under high restriction and Milak village (MVR-8) which was under no restriction. On the basis of permeability index and Residual Mg2+/Ca2+ ratio, the groundwater of shallow aquifer in the study area at a sampling site in Kacchi Khamaria village (KKVR-5) was found to be unsafe for irrigation. On the basis of criteria given by Richard (1954), the groundwater of seven sampling sites was highly saline while alkalinity was found to be low at all the sampling sites. On the basis of criteria given by Wilcox (1955), the groundwater found to be under permissible or good class of irrigation water on the basis of percent sodium and EC while at ten sampling sites it was under excellent class of irrigation water on the basis of percent sodium. On the basis of criteria given by Westcot and Ayers (1984), the groundwater of the study area was found to have either no effect or slight to moderate effects on the availability of water to the crop, while there was no effect on the sensitivity of crops whereas no effect and slight to moderate effects on permeability of soil were found, if the groundwater of the study area is used for irrigation.