scholarly journals Farmers perception and awareness about agriculture insurance scheme – a study of north karnataka

2021 ◽  
Vol 10 (3) ◽  
pp. 33-40
Author(s):  
N Maruti Rao

Agriculture is considered the backbone of Indian economy. The agriculture sector determines the growth and sustainability of Indian economy. About 52% of India’s workforce and 21% of India’s population still relies on agriculture for employment and livelihood. In spite of this, 197 farmers had committed suicide in 2015 in Karnataka (till September) and North-Karnataka accounted for 25 percent of such suicide cases compared to an average of 15 percent in remaining 5 regions of Karnataka (as per political map of Karnataka). As per the officials from agriculture department, none of the farmers who committed suicide had taken a crop insurance policy. These lives might have been saved if the crop is insured against climate change. As per the records of Agriculture Insurance Company of India (AIC) Ltd, only 16.3 percent of all farmers in Karnataka are covered under the NAIS. In the light of this observation, the researcher felt that it is high time to assess the awareness and existing knowledge about crop insurance among farmers. It is also necessary to assess perception of farmers about crop insurance. The study reveals that farmers have lot of faith in Pradhan Mantri Fasal Bima Yojana. They have strong confidence in PMFBY that it will provide security against Crop Loss. However, they opined that there is no provision in the policy for risk coverage of both Kharif and Rabi Seasons. It is suggested that crop insurance should be delivered along with crop loan through banks. The agriculture department (GOK) should conduct an awareness programme in collaboration with Management Educational Institutes. This will not only help in creation of awareness but also educating farmers about crop insurance

Author(s):  
Y. Darshan ◽  
K. Ramakrishnan ◽  
J. Pushpa ◽  
K. Prabakaran

The Pradhan Mantri Fasal Bima Yojna (PMFBY) is a crop-based insurance policy designed to help farmers who have suffered crop loss or damage and stabilizes farm income. In the year 2020-21, a study was conducted in the Tumkur district of Karnataka as district had highest number of insurance units (895) as compared to other districts of the Karnataka state. The findings of the study revealed that delay in getting the claim was the prime constraint faced by the beneficiaries with a highest percentage of 81.67 per cent and as ranked first followed by less compensation offered (80.00 per cent) and getting claims is a complicated procedure (76.67 per cent). With respect to suggestions given by the beneficiaries were before the start of the next season, the claim should be distributed with a percentage of 87.50 and ranked first, followed by organizing awareness programs for farmers regarding PMFBY (78.33 per cent) and representatives from financial institutions and policy makers should monitor and supervise the assessment (72.50 per cent). The study bought out a number of various constraints faced by the farmers related to Crop Insurance Schemes. As a result, concerned officers should approach the State Government and request that they make earnest efforts to pay the claim before the start of the following season as well as conduct more training and awareness programs.


2019 ◽  
Vol 118 (9) ◽  
pp. 161-164
Author(s):  
S Tulasi Ram ◽  
,Dr.T.Srinivasa Rao

  Contribution of Indian Agriculture sector is much higher than the world average and it is also called backbone for Indian economy by providing employment opportunities. Telangana, a newly formed state in India and majority of work force depends on agriculture and allied activities. In India agriculture is called playing dice with rains and even it badly affected by natural calamities, pests and diseases too. Crop Insurance is one the best option to mitigate the risk that associated with the agriculture sector.  Agriculture Insurance Company of India ltd (AICI) one of the general insurance company that dedicated to cover crop insurance in India. AICI statistics shows that only two farmers from Telangana state opted for crop insurance under national agriculture Insurance Scheme. This proposed research will be an explorative in nature to identify the reasons behind farmers not opting for crop insurance. Primary data collected with the help of questionnaire from farmers, interaction with primary agriculture cooperative society secretaries, bankers and Agriculture officers. 


2021 ◽  
Vol 13 (16) ◽  
pp. 9327
Author(s):  
K. Nirmal Ravi Kumar ◽  
Suresh Chandra Babu

This paper analyzes the impact of a Weather-Based Crop Insurance Scheme (WBCIS) on the Technical Efficiency (TE) of smallholder groundnut farmers in the context of climate change in India. We use Data Envelopment Analysis (DEA) to study the TE of smallholder farmers, which range between 0.58 and 1, with a mean of 0.79. Using the Propensity Score Matching (PSM) technique, we find that the TE of smallholder farmers improves when they participate in a WBCIS using three matching methods. Increasing the coverage of farmers under a WBCIS can help in reducing smallholder farmers vulnerability to climate change.


2002 ◽  
Vol 27 (4) ◽  
pp. 15-28 ◽  
Author(s):  
Ramesh Bhat ◽  
Elan Benjamin Reuben

The Mediclaim scheme run by the government- owned General Insurance Corporation (GIC) of India is currently the only private voluntary health insurance scheme available in India. This scheme has been in operation since 1986 and from time to time a number of revisions has been made to address the needs of its clients. The analysis of claims and reimbursements under this scheme is scanty. This paper analyses 621 claims and reimbursements pertaining to policy initiation years 1997- 98 and 1998-99 of the Ahmedabad branch of GIC's subsidiary. The study estimates that about a third of claims amount increase is due to the problems of adverse selection or provider- induced demand. The analysis of breakup of reimbursements suggests that more than one-third of reimbursements are made towards doctor's fees, followed by diagnostic charges which account for about one-fourth. The findings also suggest that the insurance company took on an average 121 days to settle the claim.


Author(s):  
Matthew N. O. Sadiku ◽  
Chandra M. M Kotteti ◽  
Sarhan M. Musa

Machine learning is an emerging field of artificial intelligence which can be applied to the agriculture sector. It refers to the automated detection of meaningful patterns in a given data.  Modern agriculture seeks ways to conserve water, use nutrients and energy more efficiently, and adapt to climate change.  Machine learning in agriculture allows for more accurate disease diagnosis and crop disease prediction. This paper briefly introduces what machine learning can do in the agriculture sector.


ABSTRACT The study was conducted in South Gujarat for examining the production economics of tomato in the study area. Multistage random sampling technique was employed for the selection of 120 tomato farmers from Kaparada, Mandvi and Vyara talukas of Valsad, Surat and Tapi district, respectively. The net income of 1.57 lakh/ha showed the economic viability of the crop in the study area with a high output-input ratio of 3.25. It was suggested that the timely supply of credit and crop insurance scheme could further encourage growers for tomato production.


2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Naresh Singla ◽  
Mamandeep Kaur

The growth of agriculture and allied sectors is critical for the Indian economy as about 49 percent of the population is directly or indirectly dependent on agriculture. During the last decade and so, the agriculture sector has undergone profound changes resulting in sharp deceleration in its growth. The study has attempted to analyze growth and performance of the agriculture sector in India since 1980-81 and tries to comprehend some of the factors responsible for the deceleration in growth. The study has shown that agriculture sector has been able to show tremendous improvement in expansion of area and production of food grain and non-food grain crops. However, there are so many underlying factors responsible for slowdown of the agricultural growth. Some of the factors identified include: Increase in area under non-agriculture uses, excessive dependence on rain fed farming, increase in number of agricultural labourers, reducing size of the operation holdings, over use of agri-inputs, inequity in the distribution of agriculture credit along with sharp deceleration in public gross capital formation in agriculture etc. The study pointed in order to achieve higher growth rate, there is a need to enhance the gross capital formation in agriculture sector particularly on irrigation so that more area can be brought under assured irrigation. Bringing equity in distribution of agricultural credit coupled with judicious and need-based agricultural inputs are some of the other recommendations drawn based upon the study.


2021 ◽  
Vol 13 (3) ◽  
pp. 1318
Author(s):  
Gurdeep Singh Malhi ◽  
Manpreet Kaur ◽  
Prashant Kaushik

Climate change is a global threat to the food and nutritional security of the world. As greenhouse-gas emissions in the atmosphere are increasing, the temperature is also rising due to the greenhouse effect. The average global temperature is increasing continuously and is predicted to rise by 2 °C until 2100, which would cause substantial economic losses at the global level. The concentration of CO2, which accounts for a major proportion of greenhouse gases, is increasing at an alarming rate, and has led to higher growth and plant productivity due to increased photosynthesis, but increased temperature offsets this effect as it leads to increased crop respiration rate and evapotranspiration, higher pest infestation, a shift in weed flora, and reduced crop duration. Climate change also affects the microbial population and their enzymatic activities in soil. This paper reviews the information collected through the literature regarding the issue of climate change, its possible causes, its projection in the near future, its impact on the agriculture sector as an influence on physiological and metabolic activities of plants, and its potential and reported implications for growth and plant productivity, pest infestation, and mitigation strategies and their economic impact.


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