scholarly journals Analyzing the Challenges of Agricultural Crop Insurance among Microcredits: A Case Study of Sarjam Dehestan, Mashhad

2018 ◽  
Vol 06 (02) ◽  
pp. 215-240
Author(s):  
Maryam Ghasemi ◽  
SLida Alizadeh
Keyword(s):  
Crop Insurance ◽  
Agricultural Crop

Monitoring and evaluation of effective climate parameters on the cultivation and zoning of corn agricultural crop in Iran (case study: Ardabil province)

2021 ◽  
Vol 14 (5) ◽  
Author(s):  
Ronak Ghanbari ◽  
Behrouz Sobhani ◽  
Mahshid Aghaee ◽  
Amir oshnooei nooshabadi ◽  
Vahid Safarianzengir
Keyword(s):  
Monitoring And Evaluation ◽  
Agricultural Crop ◽  
Climate Parameters

Building insurance through an NGO

2016 ◽  
Vol 76 (1) ◽  
pp. 119-139 ◽  
Author(s):  
Marie-Christine Bélanger
Keyword(s):  
Design Methodology ◽  
Smallholder Farmers ◽  
Crop Insurance ◽  
Specific Training ◽  
Close Collaboration ◽  
Agricultural Insurance ◽  
Content Type ◽  
Level Of Education ◽  
Challenges And Opportunities

Purpose – This paper is based on a crop insurance implementation currently undergoing in Haiti. The purpose of this paper is to present the development of a program tailored to rice production in the Artibonite Valley, the challenges and opportunities that are arising from the exercise as well as pitfalls and ways to avoid them. Design/methodology/approach – The Système de Financement et d’Assurances Agricoles en Haïti’s approach for the development of crop insurance is in accordance with 13 concepts considered essential in the implementation of agricultural insurance programs. The case study is presented through each of these 13 fundamental concepts. Findings – The paper provides an insight on challenges any organization will face when implementing crop insurance for smallholder farmers. It points out notably that close collaboration of executing agencies with local partners is essential from data collection through insurance development and delivery and that all participants should receive a specific training tailored to their level of education and understanding. Social implications – Haiti is one of the poorest countries on the planet. Smallholder farmers could benefit a lot from crop insurance. It could help them stabilize their income when facing crop losses due to natural hazards or uncontrollable natural events. Originality/value – This paper fulfills an identified need to share real case studies exposing challenges faced when implementing crop insurance for smallholder farmers.

scholarly journals Development of Agricultural Insurance of Crop Production in Regions of Southern Russia

2020 ◽  
pp. 183-194
Author(s):  
Ekaterina Shkarupa ◽  
Irina Anikina
Keyword(s):  
Crop Production ◽  
Crop Insurance ◽  
The State ◽  
Insurance Companies ◽  
Agricultural Crop ◽  
State Support ◽  
Agricultural Insurance ◽  
National Union ◽  
Mandatory Requirement ◽  
Southern Russia

State-supported agricultural insurance is a financial policy imperative in agricultural development. The purpose of the article is to study the current state of the development of agricultural insurance of crop production carried out with the state support of the regions of Southern Russia in order to determine the possibilities of expansion of its scope and increase of its accessibility. It was concluded that there had been significant changes in the market during the period under review. The article presents the analysis of agricultural insurance on the example of crop production carried out with the state support of Southern Russian regions. After 2014 there was a decrease in the activity in agricultural insurance both by insurers and insured. The dominant reason for a considerable drop in insurance in crop production has been the transformation of forms of state support for agricultural producers since 2017. It is the transfer to a “single subsidy”, which included all types of industry support costs that lead to the inability to pay crop insurance premiums in many regions, in particular South Russia. It should be noted that since 2016 there has been a decrease in the number of insurance copmpanies that have carried out insurance with state support. This was a result of the tightening of control over insurers by the Bank of Russia and the emergence of a mandatory requirement of membership in the National Union of Agricultural Insurers to those insurance companies that insured producers with government support. Thus, the changes of the terms of insurance subsidies became a threat to this form of support. Recently, there has been some modification of this form of support for the industry, and the task of the state is to consolidate this trend. The study concluded that the attraction of more insurance companies to regional markets, involvement of representatives of medium and small businesses in the agricultural risk insurance system, increased flexibility of insurance conditions with state support and improved quality of insurance payment procedures, possibility to independently determine the increasing factor for arable lands, compensatory subsidies written into agricultural crop insurance contracts will facilitate the access to this measure and expansion of this form of support.

scholarly journals Machine learning model for estimating agricultural crop insurance payout based on air temperature, rainfall, and relative humidity

2020 ◽  
Vol 12 (2) ◽  
pp. 165-170
Author(s):  
K.P. Mangani ◽  
R. Kousalya
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Crop Insurance ◽  
Regression Technique ◽  
Agricultural Crop ◽  
Policy Makers ◽  
Machine Learning Model ◽  
Proposed Model ◽  
Linear Regression Technique ◽  
Combined Indices

Abstract. In Agriculture, the weather-based variations are deliberated to estimate the crop insurance payout. This research model includes linear regression technique (LR) for air temperature payout prediction and fuzzy based choquistic regression (FCR) technique for rainfall payout prediction of agricultural blocks. Then the combined indices of rainfall, relative humidity and air temperature are considered as input to the proposed model named fuzzy based Quasi Poisson Regression technique (FQPR) implementing the multi-indices evaluation function that performs the total payout prediction per hectare of the specified block. The deviations in weather indices determine the insurance payout value with the threshold parameter specified as per policy makers. Thus, the proposed techniques can support the prediction of the total insurance payout with additional weather parameters for the seasonal period of the selected crop for selected five districts with reduced error rate. The results show that the proposed work is appropriate for combining weather indices and predicting the total insurance payout of the groundnut crop of the selected districts.

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