Asian Journal of Agricultural Extension, Economics & Sociology最新文献

{"title":"Impact of Paramparagath Krishi Vikas Yojana Scheme on the Livelihood of Beneficiaries","authors":"J. Shalini, G. Selvarani, T. Dhamodaran, S. Senthilnathan, K. Prabakaran","doi":"10.9734/ajaees/2023/v41i102136","DOIUrl":"https://doi.org/10.9734/ajaees/2023/v41i102136","url":null,"abstract":"The Indian government's Paramparagath Krishi Vikas Yojana (PKVY) programme has gained prominence as a key push to advance organic agricultural methods all over the nation. The study was conducted in Virudhunagar and Madurai districts of Tamil Nadu, with a sample size of 120 beneficiary respondents from the designated villages utilising census method.In-depth analysis of the scheme's effects on organic farmers is provided in this article, along with conclusions about how well it promotes sustainable agricultural practices and increases crop yields while also stimulating economic growth. The quantitative component looks at data from a variety of organic farming clusters before and after implementation of the scheme, analysing variables such changes in the farm, family, education, social contacts, income, debt, and health.The findings revealed a significant positive impact of PKVY scheme on the livelihood of organic farmers. Participating farmers have reported a gradual shift towards organic cultivation, reducing their reliance on chemical inputs and adopting eco-friendly alternatives. Notably, the PKVY scheme has led to tangible economic benefits for organic farmers.","PeriodicalId":427773,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128077889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying the Factors Influencing the Performance of the Farmer Producer Organizations Dealing with Value Addition","authors":"S. Kavin, M. Malarkodi, C. Muralidharan, S. Padma, G. Vanitha","doi":"10.9734/ajaees/2023/v41i102135","DOIUrl":"https://doi.org/10.9734/ajaees/2023/v41i102135","url":null,"abstract":"Aims: Identifying the factors influencing the performance of the Farmer Producer Organizations dealing with value addition. \u0000Study Design: Exploratory research design. \u0000Place and Duration of Study: The research was carried out in the state of Tamil Nadu. Primary data was collected from a random sample of respondents. \u0000Methodology: The study was conducted in the state of Tamil Nadu which examines the factors that influencing the performance of the FPOs dealing with the value-added products. The data was collected from 60 FPOs through random selection process, the sample respondents were CEOs and Board of Directors of the FPOs. Personal interview was taken to gather primary data. Exploratory factor analysis was conducted to find the factors that influence the performance of the FPOs dealing with value added products in Tamil Nadu. \u0000Results: This study identifies that the cumulative variance accounted for by the study amounted to 56.606 percent, the factors exerting substantial influence encompass Innovative Product Development, Integration of E-Commerce, Strategic Product Pricing, Establishment of Collaborative Partnerships, Emphasis on Distinctive Branding & Packaging, Advancements in Processing Facilities, and Assurance of Product Quality. Furthermore, factors like Augmented Market Access, Effective Management of Demand-Supply Dynamics, Optimization of Inventory Holding, Accomplishments in Certification, Efficient Handling of Working Capital, and Access to Credit and Financial Support were determined to have a moderate level of influence. Lastly, factors contributing to the enhancement of Turnover Rates, Incorporation of Valuable Customer Feedback, and Pioneering Product Development were identified as having a lower degree of influence \u0000Conclusion: From the study it can be concluded that operational factors are the most influencing factors for the performance of the FPO that contributes to the 36 percent of the contribution of the performance.","PeriodicalId":427773,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133770063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determinants of Participation of Members in Farmer Producer Organization in Madurai District","authors":"P. Yogitha, M. Anjugam, J. Amarnath, S. Padma Rani, B. Sivasankari","doi":"10.9734/ajaees/2023/v41i102133","DOIUrl":"https://doi.org/10.9734/ajaees/2023/v41i102133","url":null,"abstract":"Aims: The study aimed to identify the factors influencing the participation of members in FPO. \u0000Study Design: The study has utilized random sampling method to identify sample districts, sample blocks, sample villages and sample respondents for interview. \u0000Place and Duration of Study: The study was carried out in Madurai district of Tamil Nadu in the month of May 2023. \u0000Methodology: Primary data was used in the study. Logit regression model was used to identify the factors influencing the participation of members in FPO. A well-structured interview schedule was used to collect data from the sample respondents. A sample of 60 members and 60 non-members of FPO were chosen at random and relevant data were collected. \u0000Results: The estimates of the logit regression function revealed that family size, annual income, landholding, distance to market, extension service, marketing facilities and input availability were found to be the major factors influencing the participation of members in FPO and found significant. Of these variables, family size, annual income, distance to market, extension service, marketing facilities storage facilities and input availability were positively influencing the probability of participation of members in FPO programme. However, farm size was negatively influencing the probability of participation of members in FPO. \u0000Conclusion: Based on the analysis, it is evident that the variables such as family size, annual income, distance to market, extension service, marketing facilities and storage facilities were found significant and positively influencing the probability of participation of sample respondents in FPO programme. However, the variable namely farm size was found to be significant but negatively influencing the probability of participation of sample respondents in FPO programme. It is also evident that the probability of participation of small and marginal farmers in FPO is found high. It is concluded that provision of services by FPOs such as training and capacity building programme, marketing facility, supply of inputs, transport arrangements to the farmer may increase their participation in FPO.","PeriodicalId":427773,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116989260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drivers of Food Security amongst Plantain Producing Households in Edo State, Nigeria","authors":"Ozor, Patience Lilian, B. Phillip, A. A. Sanusi","doi":"10.9734/ajaees/2023/v41i102134","DOIUrl":"https://doi.org/10.9734/ajaees/2023/v41i102134","url":null,"abstract":"The agricultural sector in many countries continues to be plagued with diverse challenges which often tend to affect agricultural yield, thus posing a threat to food security. This reduced yield has the potential to pose a threat to achieving global food security. Due to the high occurrence of food insecurity, many households are devising strategies through which they can cope with the adverse effect of food insecurity. This study assessed the factors driving food security among plantain-producing households in Edo State, Nigeria. Primary data was collected in 120 plantain-producing households using a multi-stage random sampling technique and analyzed using the food security index and logit regression model. The households’ food security status was estimated at N555 (approx. $1), based on a daily minimum food bundle of 2260 kcal. The study showed that 46.7% of households were food insecure. The regression analysis for factors influencing food security revealed that older household heads tend to be more food insecure as compared to their younger counterpart. With a positive relationship between farm size and food security, the likelihood of being food secure increases with farm size increase. Similarly, female-headed households are more likely to be food secure. To cope with food insecurity, households have used coping strategies which include eating less of their preferred food, limiting the portion of food, and skipping meals.","PeriodicalId":427773,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"17 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123208970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Digital Technologies in Agricultural Extension","authors":"N. K. Singh, N. Sunitha, Gagan Tripathi, D. R. K. Saikanth, Akanksha Sharma, Asha Elizabeth Jose, M. Mary","doi":"10.9734/ajaees/2023/v41i92127","DOIUrl":"https://doi.org/10.9734/ajaees/2023/v41i92127","url":null,"abstract":"The emergence and widespread adoption of digital technologies have reshaped the landscape of agriculture extension services, fostering increased efficiency, accessibility, and sustainability. The proliferation of digital technologies such as smartphones, the internet, data analytics, and sensor-based devices has ushered in a new era of agriculture extension services. These technologies have enabled real-time communication, data-driven decision-making, and access to a vast repository of agricultural information. Farmers, extension agents, and policymakers now have a wealth of tools and applications at their disposal, empowering them to make informed choices for increased agricultural productivity and sustainability. Digital tools have profoundly impacted agricultural extension services, revolutionizing how information is disseminated and accessed by farmers. Some analysis of how mobile apps, web platforms, and data analytics have transformed agricultural extension, empowering farmers and increasing productivity. Mobile applications and web-based platforms have facilitated the dissemination of agricultural knowledge, empowering farmers with up-to-date practices. By reducing the digital divide, ICT-based extension services promote equitable access to information, leading to enhanced agricultural productivity and sustainability. By bridging the information gap, digital technologies enhance agricultural productivity, profitability, and sustainability. Local language support ensures farmers from various linguistic backgrounds can easily understand and benefit from the information provided, enhancing the tool's usability and impact. Tailoring agricultural information to specific regions addresses diverse farming practices and challenges, enhancing relevance and adoption. By promoting language and regional adaptation, digital technologies can bridge the digital divide and empower farmers with valuable insights for sustainable agricultural development.","PeriodicalId":427773,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115924273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Export Status of Fruits and Vegetables from India","authors":"Jwala Parte, Pratiksha Tripathi, Laxmi Thingbaijam, Mamta Patel, Sneha Pandey","doi":"10.9734/ajaees/2023/v41i92131","DOIUrl":"https://doi.org/10.9734/ajaees/2023/v41i92131","url":null,"abstract":"Background: Horticulture export is one of the most promising industries, due to rising global demand and the country's diverse agro-climatic system. During the early 1990s, following post-reform, there was an increase in agricultural commodities export which boosted the Indian economy. \u0000Methods: Secondary time series data of fruits and vegetables (fresh and processed) were collected from APEDA and FAO, the methodologies used were Compound Growth Rate, Instability Index, Revealed Comparative Advantages and Revealed Symmetric Comparative Advantages. \u0000Results: Fruit and vegetable importers include the UAE, Bangladesh, Saudi Arabia, Sri Lanka and others. Fresh fruits, fresh vegetables, processed vegetables and fruits, nuts and juices showed positive and significant growth throughout the study period. Whereas, the import of fresh fruits and vegetables also shows a positive and significant growth rate, because some fruits and vegetables are cheaper to import than produce. Revealed Comparative Advantages show disadvantages in the global market. India has to improve its marketing strategy, and storage facilities and improvise their skills for the production and processing of fruits and vegetables, etc. to emerge as a major exporter of fruits and vegetables.","PeriodicalId":427773,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133408615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Socio-economic Characterization of Family Fruit Farms in the Guinean High Savannah of Cameroon","authors":"Firita Marie Ivonne, Fawa Guidawa, D. N. Delphine, O. Zéphirin, Fekwa Awe Crépin, Kouvou Halimatou, Ngamo Tinkeu Léonard, Mapongmetsem Pierre Marie","doi":"10.9734/ajaees/2023/v41i92125","DOIUrl":"https://doi.org/10.9734/ajaees/2023/v41i92125","url":null,"abstract":"Fruit growing is one of the main strategic axis for income generation and poverty reduction in all localities. The Guinean High Savannah of Cameroon are host to numerous fruit farms families but they are underdeveloped. In order to improve this situation and make this sector a tool for development, the present study aims to carry out a socio-economic characterization of fruit farms. This characterization was carried out by means of producer surveys. A total of 101 growers interviewed were married (92%) and farmed 75% of the land acquired on a customary basis, of which only 11% had title to ownership. Over 65% associate farming with fruit production. The main obstacles to production are pests and diseases, and outdated production technique Between 40% and 70% of production is lost in the field or after harvest. Fruit production on family farms can be improved by strengthening pest- and disease-resistant fruit varieties and advanced production technique.","PeriodicalId":427773,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115454710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Constraints Faced by Maize Farmers of Tamil Nadu in Use of Smartphone for Accessing Agricultural Information","authors":"S. Sownthariya, R. Theodore, N. Sriram, C. Velavan, P. S. Ganapati","doi":"10.9734/ajaees/2023/v41i92126","DOIUrl":"https://doi.org/10.9734/ajaees/2023/v41i92126","url":null,"abstract":"The study was carried out to analyse the constraints faced by maize farmers of Tamil Nadu in use of smartphone for accessing agricultural information, and to elicit strategies for improving the smartphone usage among maize farmers. Ex- Post Facto Research Design. The selected districts for the study were Perambalur and Cuddalore based on maximum area under maize cultivation. Two blocks were selected from each district, and from the selected blocks, two villages were selected for the study based on maximum area under maize cultivation. The study was conducted during June 2023. Totally 120 respondents were selected for the study based on simple random sampling technique. The responses of the respondents were subjected to frequency and percentage analysis. The constraints were grouped into two categories viz., hardware constraints and software constraints. The suggestions were grouped into three categories viz., hardware strategies, software strategies, and training needs. Most of the respondents reported that the major hardware related constraints were high cost for repair and maintenance of smartphones (70.83%), high data tariff (66.67%), and less knowledge and skill in using smartphone (57.5%). The major software related constraints were less availability of location-specific information (85.00%), information not updated (81.67%), receiving unreliable forward messages (71.67%) and less awareness on agricultural mobile apps/web portals (69.17%). The major strategies suggested by the farmers for improving smartphone usage were provision of assistance by the government to purchase high end smartphone (91.67%), sale of farmer friendly data packs (79.17%), adding voice recognition facility in mobile apps (98.33%), developing maize specific mobile apps (97.50%), developing knowledge of farmers on downloading and operating different apps and portals related to agriculture (99.17%) through method demonstration and trainings. Most of the farmers faced high cost for repair and maintenance of smartphones, high data tariff, and less availability of location-specific information as major constraints. To overcome these constraints State Department of Agriculture may consider providing assistance to farmers to purchase high end smartphones. Farmer friendly data packs and Location specific contents will also enhance smartphone usage behaviour among farmers.","PeriodicalId":427773,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134111132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Study on the Effectiveness of Utilization of the Union Digital Center Agricultural Information by the Farmers in Bangladesh","authors":"T. Mondal, Md. Sirazul Islam, M. Islam, M. Abdullah, Nipa Monalesa, Debashish Das","doi":"10.9734/ajaees/2023/v41i92130","DOIUrl":"https://doi.org/10.9734/ajaees/2023/v41i92130","url":null,"abstract":"Aims: The aims of the study were to determine the effectiveness of Union Digital Center (UDC) in the utilization of agricultural information by the farmers, also to investigate the contribution of the selected characteristics of the farmers to the effectiveness of UDC in the utilization of agricultural information and to resolve the problems faced by the farmers in receiving agricultural information from the UDC.\u0000Study Design: It is a Field Survey Research.\u0000Place and Duration of Study: The study was conducted in a union named Alokjhari under Khanshama Upazila of Dinajpur district of Bangladesh There are eight villages in this union. The study was conducted in these eight villages from January 2020 to February 2022.\u0000Methodology: The farmers of Alokjhari Union who were members of the Common Interest Group (CIG) under the National Agricultural Technology Project (NATP) of the Department of Agricultural Extension (DAE) constitute the population of the study. According to Yamane’s (1967) formula, the sample size was determined as 154 from 200 respondents. A simple random sampling method was used in order to select the sample. Data were collected using a  structured interview schedule. Descriptive statistics and stepwise multiple regression were used for analysis.\u0000Results: The highest proportion 49.4 percent of the farmers had low effectiveness of UDC in utilizing agricultural information compared to 30.5 percent with medium effectiveness and 20.1 percent with high effectiveness. And the highest effective information that the farmers asked for was found on ‘compost preparation’ followed by ‘tree plantation’, ‘recommended seed rate’, and so on. Among the influential variables level of education, family income, innovativeness,  agricultural knowledge and aspiration provided a 53.1 percent contribution to the effectiveness of UDC.\u0000Conclusion: The findings indicate that UDC plays a moderate role in the utilization of agricultural information. Agricultural knowledge was the main contributor to the improvement of the effectiveness of UDC while agricultural knowledge should be increased to both farmers and UDC staff levels.\u0000 ","PeriodicalId":427773,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125165143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Social Media Utilization by the Farmers of Coimbatore District in Tamil Nadu – An Analysis","authors":"K. S. Harsini, M. S. Kumar, M. Ramasubramanian, M. Devi, R. Selvi","doi":"10.9734/ajaees/2023/v41i92124","DOIUrl":"https://doi.org/10.9734/ajaees/2023/v41i92124","url":null,"abstract":"Social media is an innovative, interactive communication tool used for social networking, sharing of text, audio, video to individuals, groups and mass audience over internet and social media platforms. According to Global Digital 2023 as of February, social media users in India is about 467 million. Considering the wide use of social media by the farmers and public, it is imperative to understand the usage behaviour of farmers, as it is essential for researchers, extension officials and policy makers to develop appropriate strategies for improving the technology delivery among farmers. Hence, a study was conducted among 120 randomly selected farmers in Annur and Kinathukadavu blocks of Coimbatore district during 2023 to find out the utilization pattern of social media. This study mainly focused on the understanding the usage pattern of farmers of Coimbatore district how they are engaged with social media platforms. It was observed from the study that majority of the farmers were young, educated up to higher school level, practised farming as the major occupation with medium level of information seeking, innovativeness and with high level of digital literacy. It is evident that WhatsApp is the most used tool (78%) for communication while Facebook and YouTube for entertainment purpose. It is found that the utilization index was high for messaging friends and family in using WhatsApp whereas looking for funny and entertaining content ranked top in both Facebook and YouTube. Further, significant relationship was found between age, education, occupation, farming experience, information seeking behaviour, perception and digital literacy with utilization pattern of social media. People should be made aware that it can provide real time information and support and has the potential to improve the efficiency and effectiveness, facilitate interactive collaboration and communication.","PeriodicalId":427773,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131572843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}