INTRODUCTION Vermicompost is the decomposed product of vegetable, food waste, bedding materials, vermicast or worm cast in a form a heterogeneous mixture. It is basically the breakdown of organic matter content with the activities of the earthworm. The level of contaminants becomes lower in the newly created vermicompost with the increasing concentration of nutrients (Chauhan et al., 2010). Vermicompost is an excellent nutrient-rich organic fertilizer and soil conditioner. Vermicomposting is the process of producing the vermicompost. The biological degradation and stabilisation of organic waste with the help of earthworms and various microbes help to create vermicompost through the process of vermicomposting (Joshi and Chauhan 2006). Vermicompost is playing a crucial role in today’s organic farming and very much harmless to the crops. It is a stable fine granular organic matter which eventually increases the passage in the soil for the entry of air. It also allows the organic carbon to get released slowly in the soil slowly and steadily which thereby enables the crops or plants to absorb those nutrients properly (Allen, 2016). Vermicompost strikingly supports the three-pillar model of sustainability and it is a product which supports the philosophy of sustainability. This is such a technology which is ‘economically viable’, ‘environmentally sustainable’ and ‘socially acceptable’ at the same time (Mahmud et al., 2016). This is an impressive technology particularly in the context of contemporary climate change as it maintains the principles of sustainability and helps to maintain the crop as well as the soil health. Training is a critical input in improving farmers’ knowledge and skills level as it provides an excellent opportunity to the farmers for learning by doing themselves. The KVK training provides an opportunity for the farmers to inculcate a transparent idea about the vermicompost technology, particularly the preparation of vermicompost along with its application in the crop field. This kind of training helps the peasants to find a way of self employment and it supports the way towards poverty eradication at a micro level. This certainly helps to open new avenues of employment generation for hundreds of rural poor and thereby acts as a modifier in their livelihood status (Gaikwad and Gunjal 2000). This era has introduced a vicious facet of climate change and farming sector is a direct arena which is suffering from the ill effects. Effect of synthetic fertilizers in the land is creating a bunch of intangible troubles not only in the crop production, but also in the soil quality as well as produce quality. Indian Council of Agriculture Research (ICAR) along with the state department of agriculture is acting in tandem towards that direction by providing thorough support to the stakeholders. This present study was designed with 2 specific objectives to accomplish and those are as follows: — To explore the extent of adoption level of the farmers after attending the vermicompost training programme organised by the Krishi Vigyan Kendra (KVKs) — To assess the impact of the farmers concerned with the vermicompost technology in the post KVK training period on vermicompost technology METHODOLOGY Research design and Sources of data: The data were collected from a specific group of farmers who took part in various training programs organised by different Krishi Vigyan Kendra (KVKs)/Farm Science Centres of the state Bihar. This study was designed to assess the level of adoption along with their impact after attending those training programs. The study was conducted in 3 districts of Bihar state viz. Samastipur, Muzaffarpur and Madhubani. 2 blocks from each of these districts were selected randomly for conducting this study. Pusa and Tajpur bocks were selected from Samastipur, Saraiya and Marwan blocks were selected from Muzaffarpur and Madhwapur with Bisfi blocks were selected from Madhubani district. The particular villages under this very study were Morsand, Karmila, Thahra and Kothia in Samastipur district; Birpur, Anandpur, Dwarikapur Khaie, Bhagwatpur and Jhakhra Shekh in Muzaffarpur district; Basuki Bihari, Mahua, Pihwara, Sahar, Jagwan and Lohra in Madhubani district. 25 farmers from each of the selected blocks were interviewed in a face-to-face situation using a pre-tested interview schedule and the data were collected from 150 farmers in total who have attended at least a single vermicompost training conducted by the local KVKs. Extent of Adoption level- Total 20 questions were asked to test the adoption of the farmers and each of those are scored as 0, 1, 2, 3 and 4 for ‘very low’ adoption, low ,moderate high, ‘high’ adoption and very high adoption respectively completely based on the responses of the respondents. The adoption of each respondent was then calculated by estimating the adoption index for each of them. The respondents were categorised into 5 distinct categories i.e. very low’ adoption group, low, medium adoption group high adoption group and very high adoption group based on the statistical estimation of arithmetic mean and standard deviation. Impact Assessment- Total 20 questions were asked to test the skills of the farmers and each of those are scored as 0, 1 and 2 for Low impact, moderate and high impact respectively completely based on the responses of the respondents in the 3-point continuum. The respondents were categorised into 3 distinct categories i.e. low impact group, medium impact group and highly impact group based on the statistical estimation of arithmetic mean and standard deviation. Statistical treatments such as percentage, arithmetic mean, standard deviation, average were used which are the part of descriptive statistics. The data were duly analysed as well as categorised by using these tools in MS Excel. RESULTS AND DISCUSSION A. Extent of adoption of vermi-compost technology among trainees It was found that the maximum number of farmers (62%) in Samastipur is holding medium level of adoption concerned with vermicompost technology, followed by 14% farmers holding high level of adoption and 12% farmers holding low level of adoption. This quantitative distribution was based on the arithmetic mean = 70.77 and the standard deviation = 26.23 of Samastipur district. However more than half of the farmers (54%) in Muzaffarpur district are holding moderate level of adoption, followed by 18% farmers holding very high level of adoption and 12% farmers holding very low level of adoption. This quantitative distribution was based on the arithmetic mean=72.45 and the standard deviation=35.55. In Madhubani district, the data follow the similar kind of trend. 56% of the farmers were holding medium level of adoption, followed by 18% of the farmers holding high level of adoption and 16% of the farmers holding very high level of adoption. This quantitative distribution was based on the arithmetic mean = 72.88 and the standard deviation=34.12 respectively. The findings were in line with Swetha et al. (2020) and confirmity with Joshi (2004) and Modi et al. (2008) were in similar pattern with Around 56.67 per cent of respondents who had attended training at Krishi Vigyan Kendra had formed the vermicompost as an enterprise, and 41.18 percent of those who had adopted belonged to a high adoption level. B. Impact assessment of training on vermi-compost technology among trainees The majority of farmers i.e. 72% were found to be having a moderate level of impact on vermicompost technology, followed by 18 % of farmers who had a low impact level and 10% of farmers who had a high level of impact in Samastipur District. This quantitative distribution was based on the Samastipur district's arithmetic mean of 71.56 and standard deviation of 24.67. However, in the Muzaffarpur district, more than half of the farmers (64%) had a moderate level of impact, followed by 22% of farmers with a low level of impact and 14% of farmers with a high level of impact. The arithmetic mean and standard deviation of this quantitative distribution were 72.76 and 23.24, respectively. The findings exhibit a similar pattern in the Madhubani district. Farmers held a medium level of impact in 68 percent of the cases, a high level of impact in 18 percent of the cases, and a low level of impact in 14 percent of the cases. Based on an arithmetic mean of 78.24 and a standard deviation of 23.76, this quantitative distribution was created. While Tiwari et al. (2020) found in their research that the impact assessment of the trainees was necessary to evaluate these training programmes, the current study was conducted to learn the impact assessment of the participants and suggestions from the trainees to improve the upcoming training courses. The majority of participants enrolled in the training programme to pursue an occupation in vermin composting, whereas 10.5% enrolled purely for receiving a certificate of completion. Three ideas made by the participants for making improvements to future programmes were placing more emphasis on practical sessions, providing printed materials, and extensive publicising.