Fasal Bima Yojana Research Articles

Does Insurance Knowledge and Loss Experience Influence the Adoption of Pradhan Mantri Fasal Bima Yojana? Insights from Cotton Farmers in Tamil Nadu, India

Does Insurance Knowledge and Loss Experience Influence the Adoption of Pradhan Mantri Fasal Bima Yojana? Insights from Cotton Farmers in Tamil Nadu, India

EVALUATION OF THE PRADHAN MANTRI FASAL BIMA YOJANA (PMFBY) IN SANGLI DISTRICT

This paper has evaluated the Pradhan Mantri Fasal Bima Yojana. In this, the awareness of farmers about crop insurance, the benefits of crop insurance, the implementation of crop insurance and the satisfaction level of farmers about crop insurance have been assessed. In this research primary data is used for research. A survey of 500 farmers in 10 talukas of Sangli district has been conducted for this research study The Z-proportional test was used to analyse the data and test these. The researcher assumed that 90% of the respondents the hypothesis was tested at a 0.9 significance level. Research paper concluded that the Therefore, the null hypothesis was accepted, indicating that 90% of the farmers in the study area are aware of PMFBY. The 41% of farmers are positive about the implementation of crop insurance scheme, 61% of farmers think that crop insurance is beneficial and 45% of farmers are satisfied with crop insurance. KEYWORDS: Agricultural, Crop Insurance, Pradhan Mantri Fasal Bima Yojana (PMFBY), Awareness, Implementation, Benefits and Satisfaction Level.

Determinants of Farmers' Awareness and Perspectives on Pradhan Mantri Fasal Bima Yojana in Southern Tamil Nadu, India

Farmers in India face numerous risks that significantly impact their crop production, highlighting the need for effective crop insurance. Recognizing the limitations of the existing crop insurance system, the Government of India initiated the Pradhan Mantri Fasal Bima Yojana (PMFBY) during the Kharif 2016 season. This scheme offers competitive premiums and favourable terms, yet coverage of farmers remains low. This study investigates the factors influencing the farmers’ awareness and perceptions of the PMFBY scheme. The survey was conducted to collect primary data from 350 cotton farmers in Virudhunagar district, Tamil Nadu. Findings reveal that while farmers have partial awareness of various aspects of crop insurance, they are generally informed about premiums and procedural requirements. The probit model analysis identifies that education, organizational membership, mass media exposure, and extension contacts have a positive influence on farmers' awareness levels. However, negative perceptions persist, particularly concerning delayed claims, inadequate compensation, and high premium rates. This study recommends the implementation of government-led awareness programs designed to educate and cultivate greater awareness among farmers regarding crop insurance and its benefits. Such initiatives could enhance demand for crop insurance to mitigate the adverse impacts and ensure greater sustainability of farmers' livelihoods.

Problems and suggestions of insured and non-insured farmers towards Pradhan Mantri Fasal Bima Yojana in eastern Uttar Pradesh

Problems and suggestions of insured and non-insured farmers towards Pradhan Mantri Fasal Bima Yojana in eastern Uttar Pradesh

Perceptions and Awareness of Pradhan Mantri Fasal Bima Yojana among Insured and Non-insured Farmers in Haryana, India: Enhancing Agricultural Risk Management

The research paper employed a sample of 600 households from Haryana, comprising 300 insured and 300 non-insured farmers, to ascertain their perceptions regarding crop insurance. Methodologically, the researcher applied tabular analysis alongside elementary statistical techniques such as measures of central tendency and percentages for data examination. The findings revealed a significant lack of awareness among non-insured farmers regarding crop insurance, with nearly half of them being uninformed. Conversely, among insured farmers, the primary motivation for obtaining crop insurance stemmed from either bank compulsion or the pursuit of financial security. Concerns regarding premium rates were evident, with a majority perceiving them to be excessive. Recommendations for the enhancement of customer satisfaction and the promotion of greater farmer participation included the proposition of tailored insurance offerings and the mitigation of concerns pertaining to premium rates

Indian Crop Insurance Schemes: Gender Performance Analysis

Crop insurance schemes are pivotal in mitigating agricultural risks, especially in rural economies like India. However, the gender dimension of participation in these schemes remains largely overlooked. This research paper delves into the gender disparities in participation rates, coverage, and benefits accrued from Indian crop insurance schemes, using six years of data from the Pradhan Mantri Fasal Bima Yojana website. The researcher employed few descriptive statistics like mean, Standard Deviation (SD), coefficient of variation (CV), and Skewness for data analysis purpose. Besides Compound Annual Growth Rate (CAGR) has been used to determine the growth rate of farmers’ participation. The analysis reveals significant gender gaps in participation, with male farmers constituting a higher percentage of participants than their female counterparts across the Kharif ( In India, the Kharif season is when the monsoon crops are grown and harvested throughout the harvesting season of India, typically from June to October )and Rabi (Rabi season is when crops are usually sown in the middle of November and harvested in April or May) seasons. While male participation was declining, female participation remained relatively stable but at lower levels. Gender-disaggregated participation highlighted challenges faced by gender-minority farmers (Here Gender Minority farmers used for Transgender Farmers). Practical suggestions include gender-sensitive outreach programs, tailored policy interventions, and improvements in accessibility for female farmers. This research contributes to the discourse on gender equality in agriculture, providing insights for policymakers and practitioners aiming to design inclusive agricultural policies and programs. Addressing these disparities can lead to greater gender equality, enhancing the sustainability and resilience of agrarian economies like India.

RELATIONSHIP BETWEEN PROFILE AND ATTITUDE OF FARMERS TOWARDS PRADHAN MANTRI FASAL BIMA YOJANA

Pradhan Mantri Fasal Bima Yojna, a "One Nation-One scheme," launched in 2016. PMFBY provides widespread insurance coverage against crop failure and helps stabilize insured farmers' income. The present study was conducted in Washim, Malegaon, and Risod taluka of Washim districts from the Vidharbha region of Maharashtra state "to know the relationship between the profile of respondents and their attitude towards PMFBY." Twelve villages selected ten non-loanee farmers from each village purposefully to comprise a sample of 120 non-loanee respondents for the study. The critical studies found that most respondents had, i.e., 65.83% of the respondents, had a moderate attitude towards the Pradhan Mantri Fasal Bima Yojana. It also found that out of seven independent variables viz. education, sources of information, innovativeness, and risk orientation were found significant, while age, land holding, and annual income were found non-significant with the attitude of farmers toward PMFBY.

Random Forest Spatial Interpolation Techniques for Crop Yield Estimation at District Level

General Crop Estimation Surveys (GCES) based on Crop Cutting Experiments (CCEs) are conducted for estimation of crop yield following random sampling approach for almost all major crops. About 13 lakh CCEs are conducted every year which has now increased rapidly due to the Pradhan Mantri Fasal Bima Yojana (PMFBY) which is yield based insurance scheme. As suggested by Ministry of Agriculture and Farmers’ Welfare (MoA&FW), this number needs to be reduced drastically by developing sampling procedures based on the use of advanced technologies and advanced survey techniques for crop yield estimation. In this study, an attempt has been made to develop crop yield estimation procedures using Random Forest Spatial Interpolation (RFSI) technique including the spatial variables like spatial distance and nearest neighbours as covariates. RFSI is one of the most adaptable and user-friendly interpolation techniques, as well as one of the fastest in large training datasets. Estimates of yield of wheat were obtained for all the six tehsils of Barabanki district using the estimator under stratified two stage sampling technique. The district level estimates were also obtained by pooling area under wheat crop in each tehsil along with the district level estimate of crop yield, estimate of variance, estimate of standard error (SE) and percentage SE (%SE) of these estimates were also computed in order to make comparison. The results of this study suggest that the estimates derived using RFSI are comparable to kriging and superior to inverse distance weighting (IDW) for the prediction of yield at unknown locations using distance and nearest neighbours.

Multi-Model Ensemble Approach for Soybean Crop Yield Estimation (Kharif-2023) in Latur District at Macroscale level

Crop area estimation is a critical aspect of agricultural monitoring and management, providing essential information for decision-making in the agricultural sector. Study was carried out at Semantic Technologies and Agritech services Pvt. Ltd., GIS and Remote sensing team, Pune during Kharif-2023. All methodology given by YESTECH manual under Pradhan Mantri Fasal Bima Yojana (PFMBY) was followed. Latur district facing more weather-based yield losses during last few of years. In this case study we tried to estimate yield of soybean crop for agriculture-based stake holders, insurance companies, Government polices at Revenue circle level (RC). Multimodal approach is beneficial over single model yield estimation approach as it takes ensemble yield for perfect forecasting of crop yield. Accuracy was in the range as given in YESTECH manual at RC level. Thus, overall results show that use of such model for yield estimation is one of the best approach to take the decisions for insurance based stake holders in rainfed regions where more negative consequences on soybean productivity under different climate change scenario was observed.

Yield Prediction using Machine Learning for Agriculture Insurance

India has achieved self dependency in food grain production by using modern technologies and better scientific approaches for cultivation. Beside this framers are less dependent on monsoon due to better irrigation facilities. Indian government provides various subsidies on seed, electricity and other agricultural equipment's to increase the income of the farmers. Indian government started various insurance schemes like PMFBY (PRADHAN MANTRI FASAL BIMA YOJANA) so that in spite of these efforts if due to some natural calamities like flood, drought or hail rain etc. farmers suffers losses then agriculture insurance is acting as a helping hand to manage the risk in yield loss to the farmers. We can say agriculture insurance is a risk management tool where the crop production risk is bear by government at a minimal cost. Millions of farmer’s are getting benefited by this schemes still agriculture insurance has not reached to maximum number of the farmers due to lack of awareness. The paper proposed a scientific approach using machine learning to calculate the loss to the farmers. So that they can be benefited at the most. The accuracy of the model comes out be 91%.

Prospects of crop insurance for sustenance of farmers' livelihood during GM cotton crop failure in Indian Punjab

Purpose Despite the susceptibility of cotton crops to pest attacks in the Malwa Region of Indian Punjab, no crop insurance policy has been implemented there– not even the Pradhan Mantri Fasal Bima Yojana (PMFBY), which is a central scheme. Therefore, this paper attempts to gauge the likely impact of the PMFBY on Punjab cotton farmers and assess the changes needed for greater uptake and effectiveness of PMFBY.Design/methodology/approach The authors have conducted a primary survey to conduct this study. Initially, the authors compared the costs of cotton production with the returns in two scenarios (with and without insurance). Additionally, the authors have applied a logistic regression framework to examine the determinants of the willingness of farmers to participate in the crop insurance market.Findings The study finds that net returns of cotton crops are conventionally small and insufficient to cope with damages from crop failure. Yet, PMFBY will require some modifications in the premium rate and the level of indemnity for its greater uptake among Punjab cotton farmers. Additionally, using the logistic regression framework, the authors find that an increase in awareness about crop insurance and farmers' perceptions about their crop failure in the near future reduces the willingness of the farmers to participate in the crop insurance markets.Research limitations/implications The present study looks for the viability of PMFBY in Indian Punjab for the cotton crop, which can also be extended to other crops.Social implications Punjab could also use crop insurance to encourage diversification in agriculture. There is a need for special packages for diversified crops under any crop insurance policy. Crops susceptible to volatility due to climate-related factors should be identified and provided with a special insurance package.Originality/value There exist very scant studies that have discussed the viability of a central crop insurance scheme in the agricultural-rich state of India, i.e. Punjab. Moreover, they do not also focus on crop losses accruing due to pest and insect attacks.

UNVEILING FARMERS’ PERSPECTIVES: A COMPREHENSIVE EXAMINATION OF PRADHAN MANTRI FASAL BIMA YOJANA (PMFBY) IN TIRUCHIRAPPALLI DISTRICT OF TAMIL NADU

Agriculture’s inherent uncertainties threaten farmers' income and food security. The government introduced Pradhan Mantri Fasal Bima Yojana (PMFBY) in 2016 to mitigate risks, aligning with the “One Nation-One Plan” initiative for farmers’ protection. The current investigation aimed to gauge farmers’ perceptions of the Pradhan Mantri Fasal Bima Yojana (PMFBY). Conducted in the year 2022-23, the study focused on deliberately chosen blocks namely Thuraiyur and Uppiliyapuram in Tiruchirappalli district of Tamil Nadu. Respondents, totaling 120, were chosen from three villages in each selected block using a proportionate random sampling method. A thoroughly designed interview schedule, formulated based on expert opinions and literature reviews, was employed for data collection. Subsequently, the acquired data underwent coding, quantification, classification, tabulation and analysis, employing frequency, percentage and mean score ranking techniques to derive meaningful insights. The study's results indicated that a significant proportion of farmers (70.83%) held medium level perception, while 20.00 per cent had low perception, and 9.17 per cent expressed high perception regarding the Pradhan Mantri Fasal Bima Yojana (PMFBY). The assessment revealed that statements such as the enhancement of individual farmers' knowledge and skills under PMFBY (Mean Score - 2.59) ranked highest, followed by its role in enhancing yields and crop protection (Mean Score - 2.58) and improving resource-poor farmers’ access to better crop production (Mean Score - 2.48), which were ranked second and third, respectively. Crop insurance shields farmers from uncertainties like natural disasters. It is deemed essential for all types of farmers due to its significance.

Analyzing The Perspective Of Farmers On The Pradhan Mantri Fasal Bima Yojana (PMFBY) In The Sohawal Block Of The Satna District, In Madhya Pradesh, India.

Agriculture serves as the backbone of the Indian economy, despite its modest 16 percent contribution to the country's GDP. A staggering 60–72 percent of the population relies on agriculture for their livelihoods. However, this vital sector faces significant risks, such as droughts, floods, and other natural disasters, which often lead to losses. In recent years, issues such as indebtedness, crop failures, low prices, and poor returns have compounded the challenges, resulting in agrarian distress in various regions across the country. Despite the Indian government's implementation of numerous schemes aimed at agricultural development, the sector continues to grapple with uncertainties. Regrettably, even in the 21st century, farmers find themselves vulnerable to these challenges, highlighting the persistent issues within the agricultural landscape. Farmers who experience crop loss or damage can receive financial assistance through the PMFBY, a crop-based insurance scheme. During the 2021–22 period, a research study in the Sohawal block of Satna district aimed to gain insights into farmers' perspectives on the PMFBY. The study identified several factors that were significantly associated with respondents' perceptions of the PMFBY, including education level, land holding size, farming experience, annual income, extension contact, risk orientation, awareness of crop insurance, information sources, and exposure to mass media, achievement motivation, and economic motivation. These findings were statistically significant at a 0.05% level of significance. However, other profile characteristics, such as age, caste, and social participation, did not show any significant association with the respondents' perceptions of the PMFBY. This study sheds light on the multifaceted influences that shape farmers' perspectives on this important government scheme.

A TOOL TO MEASURE ATTITUDE OF FARMERS TOWARDS PRADHAN MANTRI FASAL BIMA YOJANA

The study was conducted to develop and standardize a reliable and valid scale to measure attitude of the farmers towards Pradhan Mantri Fasal Bima Yojana. From the available methods to develop attitude scale, ‘Scale product method’ was used. This method combines Thurston and Likert techniques. Total 52 statements were selected for judgment; a team of 100 judges was appealed to give the score for each statement on five point continuum. Based on the Scale (median) and Q values, twenty four statements were finally selected to constitute the scale to measure attitude of the farmers towards Pradhan Mantri Fasal Bima Yojana.

KNOWLEDGE OF FARMERS REGARDING PRADHAN MANTRI FASAL BIMA YOJANA

The present investigation was conducted to known knowledge level of farmers regarding Pradhan Mantri Fasal Bima Yojana (PMFBY). The study was conducted in North Gujarat. From North Gujarat, three districts and from each selected district three talukas were purposively selected. Five villages from each taluka and from each village eight crop insured farmers were selected randomly. Multistage sampling method was followed for selection of the crop insured farmers. Thus, total 360 crops insured farmers were selected as sample size. The data were collected through personal interview and it was compiled, tabulated and analyzed to get proper answer with the help of various appropriate statistical tools. From the result of the study it can be concluded that 58.89 per cent of crop insured farmers had high to very high level of knowledge regarding PMFBY. Age, education, land holding, annual income, economic motivation, decision making ability, social participation, source of information and extension participation were highly significantly related with level of knowledge level of farmers towards PMFBY.

Analysis of Review of Literature on Pradhan Mantri Fasal Bima Yojana

Agriculture, being first order economic activity, is highly susceptible to vagaries of climate. With small land holdings and low coping capacity, vulnerability of Indian farmer is high to deviations in monsoons. This vulnerability level becomes a serious concern during drought years. To provide some relief to farmers, States have evolved a few instruments, such as Input Subsidy, Minimum Support Price (MSP), Crop Insurance etc. Input Subsidy provides minimum support to farmers to continue with farming in subsequent post damage season and thus becomes operational only when there is a significant damage due to drought or excessive rainfall. Present study analyzes literature review on Pradhan Mantri Fasal Bima Yojana. This paper aims to provide a selective literature review of articles published in the last decade on Pradhan Mantri Fasal Bima Yojana. The review also found that this research lacked a theoretical underpinning and that more research studies are needed to empirically validate some of the key variables emerging in this area of research. The study concludes with a literature synthesis and recommendations for future research.

Government Agriculture Schemes in India: A Review

The agricultural sector plays a vital role in India's economy, employing a significant portion of the population and contributing substantially to the nation's Gross Domestic Product (GDP). To promote sustainable growth, improve farm productivity, and uplift the livelihoods of farmers, the Indian government has implemented various agriculture schemes over the years. This abstract provides a concise review of select government agriculture schemes in India, focusing on their objectives, implementation strategies, and overall impact. Through an in-depth analysis of relevant literature and government documents, this review outlines the historical context and evolution of agriculture schemes in India. It explores how these schemes have evolved to address the diverse challenges faced by the agricultural sector, ranging from resource constraints to climate change and market fluctuations. The abstract examines prominent initiatives such as the Pradhan Mantri Kisan Samman Nidhi (PM-KISAN) which aims to provide direct income support to farmers, the Soil Health Card Scheme to improve soil fertility and enhance crop yields, and the National Agricultural Market (e-NAM) to create a unified platform for seamless agricultural trade. Furthermore, the abstract sheds light on the Rashtriya Krishi Vikas Yojana (RKVY) and the Pradhan Mantri Fasal Bima Yojana (PMFBY), designed to boost agricultural infrastructure and insure farmers against crop losses, respectively.

Farmer’s Satisfaction towards PMFBY Scheme in Trichy District of Tamil Nadu, India

Crop insurance is one of the risk management strategies that can help farmers manage hazards more effectively. The third-largest crop insurance plan, PMFBY (Pradhan Mantri Fasal Bima Yojana), serves as a relief programme for farmers whose crops have been affected by a natural calamity. The aim of the study was to determine the satisfaction level of farmers regarding PMFBY scheme in Trichy district. The research was conducted during the year 2022 by using the “ex-post facto” research design. Three villages from each block of the Thuraiyur and Uppiliyapuram were purposefully chosen for the study based on having a higher percentage of insured farmers. Respondents were selected by proportionate sampling from each village, and the sample size was 120. The data were collected using structured interview schedule and the primary data was analysed using descriptive statistics, cumulative frequency method and chi-square test. The study's findings revealed that most of the insured farmers (65.00%) were middle-aged, 77% male had a middle-school education, owned small amounts of land (60.83%), had a medium level of information (65.78%), had crop loans from cooperative banks (50%) and had medium level of risk orientation and economic motivation. Regarding satisfaction, more than half of the respondents (68.33%) of the insured farmers reported a medium level of satisfaction with the PMFBY scheme. The factors viz., risk orientation, farm size, information sources, educational attainment, and the frequency of disaster occurrence all revealed a positive significant relationship with the satisfaction level of insured farmers at a 5% level of probability. Farmers' satisfaction was found to be modest in the study. As a result, accountable officials must conduct awareness campaigns, educate farmers before to or during crop cutting experiments, make the loss assessment process flexible and straightforward, and distribute claims prior to the start of the following season.

Pradhan Mantri Fasal Bima Yojana: Comparison with National Agriculture Insurance Scheme Concerning Threshold Yield

Pradhan Mantri Fasal Bima Yojana: Comparison with National Agriculture Insurance Scheme Concerning Threshold Yield

Impact of Aatmanirbharta (Self-reliance) Agriculture and Sustainable Farming for the 21st Century to Achieve Sustainable Growth

Purpose: Indian Agriculture is 3rd most significant contributor to GDP and more than 50% of the population is dependent on agriculture, Indian agriculture accounts for15% of the country’s Gross Value added to the economy, and agriculture policies and schemes implemented by the government to increase the production, income level of farmers, employment, growth of the rural area, provide Digital agricultural stack in area of IoT, block chain, Geographic Information System(GIS) Kisan Drones, Big data, as per the report of NITI Aayog AI in agriculture would be worth $ 2.6 bn and Agri-Startups promote the circular economy with sustainable farming in the area of Millet, organic farming and vertical farming. It is an important pillar of sustainability and it is recognized as 7 out of 17 Sustainable development goals. Sustainable agriculture farming is the order of the 21st century in India which currently has 4.43 million organic farmers, according to the Economic Survey 2022-23, and a much-needed alternative to conventional for protecting the well-being of the farmers and Society, Economy and Ecosystem. India is Self-reliant in the production of Sugar, Rice, Wheat and food grains. Due to Government Schemes like Atmanirbhar, Minimum Support Price(MPS), PM Kisan Scheme, PM Kisan Samman Nidhi, Pradhan Mantri Fasal Bima Yojana (PMFBY), PM Gati-shakti, National Agriculture Market(e-NAM), Young –Entrepreneurs Accelerator Fund for Agri-Startups, Paramparagat Krishi Vikas Yojana (PMVY), establishing more Farmer producers Organizations(FPO), National Mission for Sustainable Agriculture (NMSA), Agricultural Technology Management Agency(ATMA), NABARD in providing finance for farm and non-farm sector, PM-PRANAAM for protecting mother earth. These initiatives are to increase the investment opportunities in agriculture, efficiency, and productivity in agriculture for doubling the income of the farmers. Design/Methodology/Approach: The research article is a descriptive study with exploratory research and secondary data collected from News articles, Journals, Government websites, Books, magazines, and reports for the analysis. Findings: Organic farming and sustainable agriculture is good for the economy and environment. The study reveals that in India Sustainable green revaluation in Agriculture Technology and moving towards achieving sustainable development goals (SDG). Type of Paper: Case Study.