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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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Subject: Agricultural Statistics and Informatics × Start date: 2023 ×
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    ThesisItemOpen Access
    PRODUCTION OF MAJOR FRUIT CROPS IN ASSAM A TIME SERIES ANALYSIS
    (2023) Bhattacharjya, Dipankar; Phukon, Manashi Hazarika
    Pomology, one of the key subfields of horticulture, is the study of fruit cultivation. It has been practiced in India for many centuries. Nutritional importance of fruits for human being is well known. Man cannot survive just on cereal. Fruits and vegetables must be consumed for a balanced diet and optimum health. Nearly 90% of the nation's overall horticultural production is made up of fruits and vegetables. India is presently the world's second-largest producer of fruits and vegetables and the world's top producer of various kinds of horticulture crops, including okra, cashew nuts, bananas, papayas, and mangoes. Horticulture crops cover approximately 15% of the total cultivable area of Assam. Assam’s favorable agro-climatic conditions foster the growth of a wide range of fruits and vegetables in the state.For conducting this research secondary data was collected for the period from 1991 to 2020 from the Directorate of Economics and Statistics, Government of Assam. The objectives of my research topic were-  To study the growth trends of area, production and productivity of Major fruits grown in Assam.  To study the instability in area, production and productivity of Major fruits grown in Assam.  To develop a suitable forecast model for describing the production of Major fruits grown in Assam. From CAGR analysis, it was observed that the area, production and productivity of banana, pineapple, orangeshowed positive growth rate. On the other hand, the area and production of coconut also showed positive growth rate. For papaya also production and productivity showed positive growth rate. From CDVI analysis, it was observed that the area, production and productivity of banana, pineapple, papaya and coconut showed low instability while in case of orange the area and productionshowed medium instability but the productivityshowed low instability. For banana production, ARIMA (3,3,1), for pineapple production, ARIMA (6,3,1) and for orange production,ARIMA (2,3,1) were found to be suitable models for forecasting. Similarly, in case of papaya and coconut, ARIMA (2,3,3) and ARIMA (5,3,1) were found to be suitable models for forecasting respectively.
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    ThesisItemOpen Access
    INTERVAL ESTIMATION FOR DECISION MAKING IN CROP YIELD OF ASSAM
    (2023) GAYAN, ANKUR JYOTI; Saikia, Hemanta
    Crop yield is an important factor in agricultural sector because it is directlyrelated to food security, essential for economic development, important for employmentgeneration and has significant impact on export revenue. So estimation of crop yield isequally important because it helps in better planning for farmers, optimizing resourceallocation and forecasting market supply and demand. In this study crop yield of the stateof Assam was taken into consideration. Under this study, all the necessary data has beencollected from secondary sources, which include district level data from ICRISAT website,Statistical handbook of Assam and Economic survey of Assam. The objectives of the study are: 1. Estimation of parameters and their applications with inequalities for the normalpopulation 2. Application of the bootstrap method for the non-normal population to test thevariances. Simple linear regression was used to estimate prediction interval and it wasfound that for 23 districts of Assam yield of rice, pigeon pea, sesamum, rapeseed &mustard the prediction interval is true for 85.21%, 83.48%, 86.95% and 85.21%respectively for the period of 2018-2022. P-P plot was used to distinguish betweennormally distributed data and non-normally distributed data where it was found that foryield of rice, pigeon pea, sesamum, rapeseed & mustard there were 8, 5, 10 and 13 districtsof Assam respectively which were normally distributed. For normally distributed data theaverage rice yield, pigeon pea yield, sesamum yield, rapeseed & mustard yield ofHailakandi, Dibrugarh, Karbi Anglong and Jorhat respectively were the highest. Also,Chebyshev’s inequality was used to estimate confidence interval for normally distributeddata. At last bootstrapping method was used to test the equality of variances for non-normal data.