A study on impact of Bringing Green Revolution to Eastern India BGREI programme in UBVZ of Assam in promotion of farm mechanization

Abstract

Agricultural mechanization technology plays a key role in improving agricultural production in developing counties, and should be considered as an essential input to agriculture. In Assam most of the farm operations are done using animal power, hence, there is great scope of selective mechanizing in Assam where, small hand tools are used involving drudgery. In order to bring about a change, a programme under Farm Asset Building Activity has also been proposed under BGREI programme. The major component of the BGREI programme is farm mechanization, and promotion of farm mechanization has been recognized as one of the essential requirement and need of the hour for agricultural development in Assam especially in rice cultivation. Keeping this in view primarily, the present study entitled- A study on impact of Bringing Green Revolution to Eastern India (BGREI) programme in UBVZ of Assam in promotion of farm mechanization was carried out in three district of Assam namely Golaghat, Johan and Sivasagar. The objectives of the study are as follows: newlineOBJECTIVES:- newline1. To assess the extent of utilization of farm machineries by the beneficiary and neighbouring farmers newline2. To determine the level of knowledge on operation of different farm machineries and extent of adoption on scientific practices of applying farm machineries and tools in selected crops newline3. To analyze the factors influencing the extent of utilization of farm machineries and tools. newline4. To study the change in farming in terms of cropping intensity, cropping pattern, crop, diversification, intensification, productivity and profitability as a result of using farm machineries. newline5. To identify the constraints face by the beneficiary and non beneficiary farmers in utilization and application of farm machineries and to pool suggestions thereof. newlineA multistage purposive cum random sampling design was used for selecting 300 farmers as respondents. Approprite statistical methods were used for analysis and interpretation of data. newlineThe findings reveal that majority (57.33%) and...