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Assam Agricultural University, Jorhat

Assam Agricultural University is the first institution of its kind in the whole of North-Eastern Region of India. The main goal of this institution is to produce globally competitive human resources in farm sectorand to carry out research in both conventional and frontier areas for production optimization as well as to disseminate the generated technologies as public good for benefitting the food growers/produces and traders involved in the sector while emphasizing on sustainability, equity and overall food security at household level. Genesis of AAU - The embryo of the agricultural research in the state of Assam was formed as early as 1897 with the establishment of the Upper Shillong Experimental Farm (now in Meghalaya) just after about a decade of creation of the agricultural department in 1882. However, the seeds of agricultural research in today’s Assam were sown in the dawn of the twentieth century with the establishment of two Rice Experimental Stations, one at Karimganj in Barak valley in 1913 and the other at Titabor in Brahmaputra valley in 1923. Subsequent to these research stations, a number of research stations were established to conduct research on important crops, more specifically, jute, pulses, oilseeds etc. The Assam Agricultural University was established on April 1, 1969 under The Assam Agricultural University Act, 1968’ with the mandate of imparting farm education, conduct research in agriculture and allied sciences and to effectively disseminate technologies so generated. Before establishment of the University, there were altogether 17 research schemes/projects in the state under the Department of Agriculture. By July 1973, all the research projects and 10 experimental farms were transferred by the Government of Assam to the AAU which already inherited the College of Agriculture and its farm at Barbheta, Jorhat and College of Veterinary Sciences at Khanapara, Guwahati. Subsequently, College of Community Science at Jorhat (1969), College of Fisheries at Raha (1988), Biswanath College of Agriculture at Biswanath Chariali (1988) and Lakhimpur College of Veterinary Science at Joyhing, North Lakhimpur (1988) were established. Presently, the University has three more colleges under its jurisdiction, viz., Sarat Chandra Singha College of Agriculture, Chapar, College of Horticulture, Nalbari & College of Sericulture, Titabar. Similarly, few more regional research stations at Shillongani, Diphu, Gossaigaon, Lakhimpur; and commodity research stations at Kahikuchi, Buralikson, Tinsukia, Kharua, Burnihat and Mandira were added to generate location and crop specific agricultural production packages.

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2016 - 20194
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Subject: Agricultural Statistics and Informatics × End date: 2019 × Start date: 2015 × Type: Thesis ×
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Now showing 1 - 4 of 4
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    ThesisItemOpen Access
    REGIONAL GROWTH ANALYSIS OF IMPORTANT CEREAL CROPS IN TAMIL NADU
    (AAU, Jorhat, 2018-07) KARTHIK, K.; Borah, Deepika Das
    In Tamil Nadu, agriculture is the most overriding sector. Around 70 percent of the state's population are involved in agricultural activities as this is one of the major means of livelihood in Tamil Nadu. Rice, sorghum, maize, ragi, bajra and millets are the cereal crops grown. Fluctuation in the cereal production may influence India’s production to a great extent. Rice is a staple food of Tamil Nadu whereas sorghum, an important crop for both human and livestock and maize is a commercial crop. Hence the study is limited to the crops namely paddy, sorghum and maize due to the importance of these crops. The present study is about the analysis of area, production and productivity of the three selected cereal crops in Tamil Nadu. The objectives of the study are - 1. To examine the changes in area, production and average yield of important cereal crops in different regions of Tamil Nadu for 20 years 2. To examine the growth rates of area, production and productivity of important cereal crops of Tamil Nadu 3. To examine the regional disparities in crop production in Tamil Nadu Time series data of area, production and productivity of the important selected cereal crop of Agro Climatic Regions of Tamil Nadu were collected for twenty years (1996-2015). Three functions ie., linear function, quadratic function and exponential function were consider in order to study the changes in area, production and productivity. Best fitted trend equation had been selected based on R2 value. The direction and extent of growth had been estimated by using Compound Growth Rate. Instability index of production of important selected cereal crops had been estimated by using the R2 value and Coefficient of variation. Regional disparity in crop production was studied with the help of composite index of development. The index was given by selected indicators. From the present study, it had been revealed that as per the value of coefficient of determination, quadratic function was found to be the best fitted trend function for the estimation of area, production and productivity of selected important cereal crops of all Agro-climatic Regions of Tamil Nadu. From trend curve and CGR it had been observed that decreasing trend of area of paddy was observed in all other Zones except Cauvery Delta Zone. In Cauvery Delta Zone, the production of paddy was following an increasing trend. Except Southern Zone, all the Zones had been declining in sorghum production. In maize, all the Zones had been increasing in both area and production. Based on CGR and Instability Index of production, Cauvery Delta Zone was comparatively preferred for paddy production. Southern Zone was preferred for sorghum production. All the Zones were suitable for maize production. Using the composite index of development of each crop in all the Agro-climatic Region, the ranking was given and the Zones were classified based on the levels of development. The Western Zone was the high developed Zone and Cauvery Delta Zone was the high middle developed Zone in paddy crop. In sorghum crop, the high developed Zone was found to be North Western Zone and Southern Zone was the high middle developed Zone. It was revealed that North Western Zone was the high developed Zone and Southern Zone was high middle developed Zone in maize crop.
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    ThesisItemOpen Access
    REGIONAL DISPARITIES OF SELECTED FRUIT CROPS IN TAMIL NADU
    (AAU, Jorhat, 2019-07) R, ANANTH.; Saikia, Hemanta
    Indian agriculture is known for its diversity, which is mainly the result of variations in resource endowments, climate and topography, historical, institutional and socio-economic factors. Regional disparity in agricultural development is referred to as the variations in agriculture performance and productivity. In India, Tamil Nadu has a unique position in Fruit crops production and also it is one of the largest producers of fruit crops in India. In Tamil Nadu, there are 7 Agro-Climatic regions or zones which cover 33 districts. Hence, the study was limited to major fruit crops namely Banana, Sapota, Mango and Guava due to its importance of production. The present study was about the growing tendency in area, production, productivity, regional disparities of the selected fruit crops of different Agro-Climatic regions and factors affecting the selected fruit crop’s production in Tamil Nadu. Time series data of area, production and productivity of the selected fruit crops of Agro-Climatic Regions of Tamil Nadu were collected for twenty years (1996- 97 to 2015-16). Three functions i.e., linear function, quadratic function and exponential function were consider in order to study the growing tendency in area, production and productivity. Best fitted trend equation had been selected based on highest R2 value and lowest MSE value. Regional disparity in crop production was studied with the help of composite index of development. The index was given by selected indicators. The important Factors affecting the selected fruit crop’s production in overall Tamil Nadu was studied by multiple regression analysis. In this study, it was seen that the quadratic function was the best fitted trend equation for area, production and productivity of different regions for the study period 1995-96 to 2015-16 of the selected fruit crops. In case of Banana, the increasing trend of the area was observed in all the Agro-Climatic regions except Southern Zone. The production and productivity was showing the increasing trend in all the zones except High Rainfall Zone. In the case of Sapota, the increasing trend of the area was observed in all the zones except Hilly Zone. The increasing trend of production and productivity was found in all the zones except High Rainfall Zone. In the case of Mango, the increasing trend of area was observed in all the zones except Hilly Zone and High Rainfall Zone and also the increasing trend of productivity was observed in all the zones except North Eastern Zone. Though the decreasing of area and productivity was found in some zones, the increasing trend of production was observed in all the zones. In the case of Guava, the decreasing trend of area was observed in all the zones except North Eastern Zone and High Rainfall Zone. The increasing trend of productivity was observed in all the zones except North Western Zone and Southern Zone. Regarding the production, the increasing trend was observed in North Eastern Zone, Western Zone, Cauvery Delta Zone and High Rainfall Zone and the decreasing trend was observed in remaining zones viz., North Western Zone, Southern Zone and Hilly Zone. By using composite index of development, Western Zone was the high level zone; North Eastern Zone, Cauvery Delta Zone and Southern Zone were high middle level zones in Banana crop. In Sapota crop, Western Zone, North Western Zone and Southern Zone were high middle level zones. In Mango crop, North Western Zone was high level zone; North Eastern Zone and Western Zone were the high middle level zones. In Guava crop, Western Zone was the high level zone followed by North Eastern Zone, North Western Zone and Southern Zone were the high middle level zones. In Banana, Mango and Guava crops, High Rainfall Zone and Hilly Zone were found that low middle level and low level developed zone respectively. By using multiple regression analysis method, area had been identified as the key factor of Banana, Sapota, Mango and Guava crop’s production. In addition to area, average temperature also had been identified as important factor in Guava crop.
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    ThesisItemOpen Access
    Symbolic Data Analysis: A New Approach of Analyzing Complex Data
    (AAU, Jorhat, 2019-07) BORA, DIPANKA; Saikia, Hemanta
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    ThesisItemOpen Access
    FORECASTING MODELS FOR CHARACTERIZING PRODUCTION AND PRODUCTIVITY OF COCONUT AND RUBBER IN KERALA
    (AAU, Jorhat, 2016-07) Prasad, Arun; Phukan, S. N.
    India is the third largest country in terms of global area and production of coconut after Philippines and Indonesia. Kerala was traditionally a coconut growing area along with the coastal states of Karnataka, Tamil Nadu and Andhra Pradesh. During 1974-75 Kerala had accounted for about 62 per cent of the coconut production in India and by 2003-04 Kerala’s share had declined to about 49 per cent. Natural Rubber cultivation in India has been traditionally concentrated in Kerala and to some extent in the adjoining states of Karnataka and Tamil Nadu. The agro-climatic conditions in the state were very favourable for rubber cultivation. Kerala accounts for 83 per cent of the area under rubber in the country. The present study has analyzed the production and productivity of coconut and rubber in India with special reference to Kerala. In the case of Kerala, all the fourteen districts have been selected for making a detailed study. The scope of the study is limited to only two places – Coconut Development Board, Kochi for coconut and Rubber Development Board, Kottayam for rubber. For forecasting the production and productivity of coconut and rubber, the study is restricted to fourteen districts in Kerala. In the present investigation of production and productivity behavior for coconut and rubber was analyzed by different forecasting models and their statistical evaluation would provide insight into the reasons for variation with the following objectives: 1. To study the trend for production and productivity of coconut and rubber in Kerala and forecast using time series models. 2. To study the effect of error in forecasting models for coconut and rubber. 3. To validate accuracy of model and suggest suitable forecasting model using time series for production and productivity of coconut and rubber. The major purpose of studies on forecast accuracy is to help the forecasters in selecting best forecasting method. In the present investigation different forecasting models like Trend analysis, ANN model, ARIMA model and Exponential smoothing models are considered to produce forecast and to measure the forecast accuracy among selected different models. In the present study, forecasting excise was conducted to produce yearly production and productivity forecasts for future five years using selected methods for years 2012-2016 in case of rubber and 2015-2019 for coconut. It is hoped that the identification of the best forecasting model would help the producers as well as consumers in taking appropriate decisions. The production and productivity obtained in coconut and rubber found to be increasing for various reasons, notably due to the fluctuations in climate, extent of area, prices etc. The change in life style has also resulted in the increased demand which yields its significant influence on production and productivity of coconut and rubber in Kerala.