The study was conducted in Central Brahmaputra Valley and Upper Brahmaputra Valley Zone of Assam in India. Primary data of 240 sample farms by personal interview schedule method and Logit Regression Analysis was used for examining the factors affecting farm mechanization adoption. All data collected from sample farms pertains to the year 2014-15.With the help of logit regression different factors affecting the mechanization adoption was examined in the sample households where seven explanatory variable to explain mechanization adoption viz., age of the head of household i.e. AGE, education level of the household i.e. EDU, size of land holdings i.e. LHD, access to irrigation i.e. IRA, access to extension agents i. e.  EXT, area under high yielding varieties i.e. HYA  and the access to institutional credit i.e. BLN were included and the negative value of the coefficient of AGE showed that the younger generation of farmers favoured the mechanization of farm much more compared to the old block. The coefficient of EDU (4.325) was positive and highly significant level confirming that the adoption of farm mechanization was more prevalent among the farms having relatively literate in the study area. It was found from the above analysis that there were different factors which affect the farm mechanization.  Linkage of extension functionaries with the grassroots level by creating awareness about the use of farm machineries amongst the farmers.

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The study was conducted in Central Brahmaputra Valley and Upper Brahmaputra Valley Zone of Assam in India. The present study is an attempt to study the effect of mechanization on income and limiting factors of farm mechanization of the sample farms. Primary data of 240 sample farms by personal interview schedule method was used for examining the effect of farm mechanization on income along with limiting factors for mechanization adoption  . All data collected from sample farms pertains to the year 2014-15. Tabular, per cent analysis were done and results obtained from these analysis were summarized to examine the impact of farm mechanization on income . In case of Tractor Ownership Farm, Tractor Hired Farm, Power Tiller Ownership Farm, Power Tiller Hired Farm and Bullock Operated Farm gross return per cropped hectare were Rs.62916.24, Rs. 61370.31, Rs.62408.87, Rs. 56783.89 and Rs.34425.58, respectively. Family labour income and net income also had inverse relationship with farm size in each categories of mechanized and Bullock Operated Farm and exception in case of under Group III under Tractor Hired Farm. Family labour income and net income relative proportion of each mechanized farm was higher over Bullock Operated Farm. Net return were observed to be Rs. 33898.17, Rs.377.76, Rs. 33606.45, Rs.27831.05 and Rs. (-)12075.51 in Tractor Ownership Farm, Tractor Hired Farm, Power Tiller Ownership Farm, Power Tiller Hired Farm and Bullock Operated Farms, respectively. Family labour income and net income also had inverse relationship with farm size in each categories of mechanized and Bullock Operated Farm and exception in case of under Group III under Tractor Hired Farm. Family labour income and net income relative proportion of each mechanized farm was higher over Bullock Operated Farm. Hence it was observed that there was positive impact of farm mechanization on income. In case of Tractor Hired Farm net income was higher than Tractor Ownership Farm. Small and scattered land holding and inadequate sufficient funds to meet the initial cost of purchasing were the most serious problem faced by the farmers in the study area as out of total household 170 and 169 numbers of farmers found it most serious in case of small and scattered land holding and high initial cost to purchase the machineries respectively So, hence effort should be given to make available of the tractors amongst the farmers in the study area through establishment of Farm Machinery Banks for custom hiring along with development financing of second hand tractors for small farmers having operational holding less than 2 hectares should been given  to make economical use machineries amongst the small farmers in the study area.

The study was conducted in Sonitpur and Biswanath districts of Assam with 100 Small Tea Growers to identify the factors influencing the extent of technological gap in adoption of scientific practices of tea cultivation by small tea growers. An analysis of the small tea production system is the quite important to the subject of development of the small tea growers as well as improving the productivity tea on small holdings. It was found that majority of the respondents (71.00%) had medium overall technological gap in adoption of scientific practices of tea cultivation followed by 17.00 per cent respondents with low overall technological gap. The findings also revealed that practice wise maximum average technological gap was found in adoption of Doses of YTD mixture (70.90%) followed by Size of planting pit and Number of ploughing and harrowing with average technological gap scores being 61.71% and 57.21% respectively. The findings of correlation analysis revealed that variables viz. area under tea, management orientation, risk bearing ability, decision making ability, scientific orientation, exposure to training, knowledge level on scientific practices of tea cultivation, family type, economic motivation and working capital availability for tea cultivation had negative and significant relationship with extent of technological gap. So, there is a need for extension agencies and other concerned departments to positively manipulate these crucial factors in order to bridge the technological gap in adoption of scientific practices of tea cultivation by the small tea growers. The variables which were significantly correlated with the extent of technological gap in scientific practices of tea cultivation were further considered for multiple regression where the value of R 2 (0.5466) indicated that 10 independent variables could explain 54.66% of the variation in the extent of technological gap in adoption of scientific practices of tea cultivation by the small tea growers.

Farm mechanization is considered as important pathways of agricultural development. A farming system cannot sustain with the traditional system. The mechanization of farm is also inductive to the diversification of the cropping pattern as it enables farmer to raise a second crop or multi crop ultimately raising cropping intensity. The study was conducted in Central Brahmaputra Valley and Upper Brahmaputra Valley Zone of Assam, India. The objective of the study is to examine the effect of mechanization on cropping pattern and cropping intensity .Primary data were collected with the help of specially design pretested schedule by interview method. Thus, a sample of 240 farmers had been taken for the study. Cropping intensity was higher in case of all mechanize farm than bullock operated farm not only individual size groups but all farm size taken together. Tractor Hired Farm had the highest cropping intensity (162.21 per cent) followed by Power Tiller Hired Farm (161.49 per cent) and Tractor Operated Farm (152.00) per cent) and Power Tiller Operated Farm (154.62 per cent), respectively. In case Bullock Operated Farm  cropping intensity showed positive relationship with farm size but reverse was the in case of each  mechanized farm. Mechanized farm had higher cropping intensity which was confirmed by regression analysis that in all the categories of farm had positive significant relationship with cropping intensity but farm size and cropping intensity had highly significant inverse relationship. Cropping pattern of different categories of mechanized farms slightly shifted to high valued crops while in case of Bullock Operated Farm it was remain sali rice biased as usual. Mechanization showed an impact on increasing cropping intensities in the study area where Tractor Ownership Farm by hiring appeared to be the most important form of mechanization as it depicted a very high significant relationship with the cropping intensity in the study area. Cooperative management of farm machinery, financing of second-hand tractors for small farmers should be given for strengthening mechanization amongst the small farmers in the study area.