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  • ThesisItemOpen Access
    “RAINFALL SIMULATION USING ARTIFICIAL NEURAL NETWORK (ANN) BASED MULTI LAYER PERCEPTRON (MLP) AND MULTIPLE LINEAR REGRESSION (MLR) TECHNIQUE FOR KOHIMA DISTRICT”
    (VAUGH INSTITUTE OF AGRICULTURAL ENGINEERING AND TECHNOLOGY SAM HIGGINBOTTOM UNIVERSITY OF AGRICULTURE TECHNOLOGY AND SCIENCES Prayagraj-21007 U.P., INDIA, 2019) KHAMO, KHRIENGU-Ü; Singh, Dr. Vikram
    Rainfall is one among the main components of hydrological cycle and is considered as principle source of water to the Earth. This study was undertaken to develop and evaluate the applicability of the MLP and MLR models by way of training and testing of developed models during monsoon period (June to September) for Kohima district, Nagaland state of India. The daily data of maximum temperature, minimum temperature, solar radiation, wind speed and rainfall were used in the study for monsoon season. The daily data were split into two sets: a training data set from 2004-2011 and a testing set from 2012-2013 for Kohima district. The Neuro Solution 5.0 software and Microsoft Excel were used in analysis and the performance evaluation indices for developed models, respectively. The best input combination for rainfall, maximum temperature; minimum temperature, solar radiation and wind speed were identified using the input-output combination for the simulation of suspended rainfall. On the basis input combination, 9 best models for rainfall were selected out of 15 models respectively with different input combinations. The following statistical indices such as Mean Square Error (MSE), Coefficient of Efficiency (CE) and coefficient of Correlation (r) were applied to test the performance of the developed MLP and MLR models. The predicted suspended rainfall using MLP models were found to be the best performing models for Kohima District. It was clearly evident that MLP model is better than MLP for the dataset under study
  • ThesisItemOpen Access
    PRODUCTION, QUALITY, WATER USE EFFICIENCY, POST HARVEST ATTRIBUTES AND ECONOMICS OF GARLIC AS INFLUENCED BY IRRIGATION METHODS, IRRIGATION SCHEDULING AND FERTIGATION
    (Department of Soil, Water, Land Engineering and Management VAUGH SCHOOL OF AGRICULTURAL ENGINEERING AND TECHNOLOGY, SAM HIGGINBOTTOM INSTITUTE OF AGRICULTURE, TECHNOLOGY AND SCIENCES ALLAHABAD – 211007 (INDIA) 2015, 2015) Singh, Gyanendra P. M.
    Field investigations were carried out for two years (2009 – 10 and 2010 – 11) to evaluate the effect of variable irrigation and fertigation on growth yield, irrigation/nutrient production efficiency, post harvest attributes and economic return of garlic (Allium sativum L) under micro-sprinkler, drip and surface irrigation systems at research farm of Sam Higginbottom Institute of Agriculture, Technology and Sciences, Deemed University, Allahabad on sandy loam soil. The crop was subjected to different levels of irrigation varying from pan evaporation replenishment of 25, 75, 125 and 175% and fertigation of 150, 200 and 250 kg/ha in order to create wide range of soil water and nutrient regimes. The depth of irrigation for different levels was calculated at 16 mm of pan evaporation. The pan evaporation values were computed after accounting the effective rainfall. The cumulative depth of irrigation for the two years of experiments, water applied varied from 74.88 – 524.21 and 78.48 – 549.38 mm. Irrigation and fertigation had a marked effect on growth, irrigation production efficiency, post harvest characteristics and economic return of garlic. The plant growth was maximum in drip irrigation in terms of plant height and neck thickness but bulb size, no. of cloves, bulb weight and yield of marketable garlic was higher for micro irrigation method of irrigation in relatively each and every level of irrigation except for irrigation at 25% pan evaporation replenishment which indicated negligible difference. There was a marked difference in the moisture content of garlic. There was relatively insignificant differ in the bulk density, total soluble solids, protein concentration and allicin content in garlic. In terms of economic returns micro-sprinkler method of irrigation indicated better benefit-cost ratio. Benefit-cost ratio at fertigation level F1 (150 kg/ha) and irrigation level I1 ( 175% pan evaporation replenishment) in all the three methods of irrigation indicated benefit-cost ratio which was below acceptable limits. The regression coefficient (R2) for the developed empirical models were 0.90 or above. It was also observed that all the parameters were directly proportional to the increase in fertigation level of F3 (250 kg/ha). iv The surface method of irrigation and fertilizer application lagged behind in all aspects of production, quality, water use efficiency and post harvest attributes. Empirical models developed can be use for allocating water and nutrients to garlic crop in ordr to optimize garlic yield and economic return under variable irrigation and fertigation in tropical climatic conditions. In spite of higher initial investment micro-irrigation system for garlic production in the tropical region is highly profitable.
  • ItemOpen Access
    Production, Quality, Water Use Efficiency, Post Harvest Attributes and Economics of Garlic as Influenced by Irrigation Methods, Irrigation Scheduling and Fertigation
    (2015) Singh, Gyanendra P. M.
    Field investigations were carried out for two years (2009 – 10 and 2010 – 11) to evaluate the effect of variable irrigation and fertigation on growth yield, irrigation/nutrient production efficiency, post harvest attributes and economic return of garlic (Allium sativum L) under micro-sprinkler, drip and surface irrigation systems at research farm of Sam Higginbottom Institute of Agriculture, Technology and Sciences, Deemed University, Allahabad on sandy loam soil. The crop was subjected to different levels of irrigation varying from pan evaporation replenishment of 25, 75, 125 and 175% and fertigation of 150, 200 and 250 kg/ha in order to create wide range of soil water and nutrient regimes. The depth of irrigation for different levels was calculated at 16 mm of pan evaporation. The pan evaporation values were computed after accounting the effective rainfall. The cumulative depth of irrigation for the two years of experiments, water applied varied from 74.88 – 524.21 and 78.48 – 549.38 mm. Irrigation and fertigation had a marked effect on growth, irrigation production efficiency, post harvest characteristics and economic return of garlic. The plant growth was maximum in drip irrigation in terms of plant height and neck thickness but bulb size, no. of cloves, bulb weight and yield of marketable garlic was higher for micro irrigation method of irrigation in relatively each and every level of irrigation except for irrigation at 25% pan evaporation replenishment which indicated negligible difference. There was a marked difference in the moisture content of garlic. There was relatively insignificant differ in the bulk density, total soluble solids, protein concentration and allicin content in garlic. In terms of economic returns micro-sprinkler method of irrigation indicated better benefit-cost ratio. Benefit-cost ratio at fertigation level F1 (150 kg/ha) and irrigation level I1 ( 175% pan evaporation replenishment) in all the three methods of irrigation indicated benefit-cost ratio which was below acceptable limits. The regression coefficient (R2) for the developed empirical models were 0.90 or above. It was also observed that all the parameters were directly proportional to the increase in fertigation level of F3 (250 kg/ha). iv The surface method of irrigation and fertilizer application lagged behind in all aspects of production, quality, water use efficiency and post harvest attributes. Empirical models developed can be use for allocating water and nutrients to garlic crop in ordr to optimize garlic yield and economic return under variable irrigation and fertigation in tropical climatic conditions. In spite of higher initial investment micro-irrigation system for garlic production in the tropical region is highly profitable.