17 research outputs found
Impact of Farm Mechanization on Income of Farmers in Assam, India
Get PDFThe 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
Impact of Farm Mechanization on Income of Farmers in Assam, India
No full textThe 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
Impact of Farm Mechanization on Cropping Pattern and Cropping Intensity - A Case Study from Assam, India
Get PDFFarm 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
Factors Affecting Farm Mechanization – A Case Study in Assam, India
Get PDFThe 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
KMAS as a Tool for Dissemination of Agricultural Technologies in Nagaon District of Assam
Get PDFDevelopment of Agricultural and allied activities can be achieved through various approaches of Information and communication (ICT) tools. Kisan Mobile Advisory system (KMAS) is one of ICT approaches for dissemination of agricultural technologies to the farming community through SMSs. KVK, Nagaon created a registered farmers group and information related to crop production, insect pest control, dairy and poultry farming, fishery and other marketing related information was sent to users in monthly basis for many years. A sample size of 100 registered farmers were selected for the study in order to examine the impact of KMAS for technology dissemination in Nagaon district. With the help of Pretested scheduled with Simple Random sampling data were collected and analyze in percent analysis. The survey showed that majority of the farmers found agricultural information as increase in knowledge (41.00%), partially applicable (73.00%). The overall impact of the KMAS was low About at 55 percent, medium at 38 per cent and high at 7 per cent. Further they suggested that messages on latest technologies should be served flowed by local language, voice messages
Factors Affecting Farm Mechanization – A Case Study in Assam, India
No full textThe 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
Impact of Farm Mechanization on Cropping Pattern and Cropping Intensity - A Case Study from Assam, India
No full textFarm 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
Determining Optimal Solution of Short Term Loan Use to Maximize Net Farm Return in Jorhat District of Assam
No full textThe present study of Determining optimal solution of short term loan use to maximize net farm return in Jorhat District of Assam was undertaken to examine the possibilities and prospects of increasing net return through optimal allocation of resources under existing financial environment. The study was carried out through collection of data by interview method and linear programming technique was used to develop optimum plans for different farms of the study area. The results of the study brought out that there was a tremendous scope to shift the resource allocation to more revenue generating high value crops. The analysis of the results shows that the farmer’s optimal cropping pattern was sugarcane, pea, potato, cauliflower and cabbage in all the farm groups. The operation wise labour use was also increasing significantly in optimal plan. The results showed that in order to obtain an optimum farm credit farm plan, the short term farm credit were used. The optimum farm credit was reached when the net revenue were maximum in all the farm groups. Credit played an important role in increasing net farm return. The effect of credit on income was inversely related with the size of the farm whereas the credit needs were directly related to the farm size
Indigenous technical knowledge of Assam for pests management – Exploit potential in organic agriculture
No full text40-49One neighborhood investigation was conducted amongst 500 farmers of Nagaon, Golaghat, Jorhat and Dibrugarh districts of Central Brahmaputra valley Zone and Upper Brahmaputra valley Zone of Assam. Only 21.8% of farmers completely practiced the indigenous technology knowhow (ITK) for pest management, though 48.4% were aware about ITKs, whereas 41.8% famers apply synthetic chemical driven approaches. A total of 30 different types of ITKs had been collected which weresorted out crop wise and placed in different groups based on their use i.e. rice (20), pulses (1), tuber crops (3), vegetables (2) and fruits (4). It is speculated that a comprehensive study on different ITKs of Assam and their appropriate validation could be the valuable components for organic farming technology
Indigenous technical knowledge of Assam for pests management – Exploit potential in organic agriculture
No full text40-49One neighborhood investigation was conducted amongst 500 farmers of Nagaon, Golaghat, Jorhat and Dibrugarh districts of Central Brahmaputra valley Zone and Upper Brahmaputra valley Zone of Assam. Only 21.8% of farmers completely practiced the indigenous technology knowhow (ITK) for pest management, though 48.4% were aware about ITKs, whereas 41.8% famers apply synthetic chemical driven approaches. A total of 30 different types of ITKs had been collected which weresorted out crop wise and placed in different groups based on their use i.e. rice (20), pulses (1), tuber crops (3), vegetables (2) and fruits (4). It is speculated that a comprehensive study on different ITKs of Assam and their appropriate validation could be the valuable components for organic farming technology
