An integrated farming system is a biologically integrated
system that integrates natural resources into farming activities through a
regulation mechanism to achieve maximum replacement of off-farm inputs, secures
sustainable production of high-quality food and other products through
ecologically preferred technologies, sustains farm income, eliminates or
reduces sources of current agricultural pollution and sustains the environment.
This method not only ensures a high level of production while saving money on
fertilizer but it also ensures maximum compatibility and organic matter
replenishment through the successful recycling of organic residues and wastes
generated through the integration of diverse land-based industries. Furthermore, for resource-poor farmers moderate
increases in land productivity are no longer sufficient. As a result, competent
resource management including optimal resource allocation is critical to
reducing the risk of land sustainability. The Government of India's Ministry of
Agriculture and Farmers' Welfare has placed a strong emphasis on the Integrated
Farming System (IFS) as part of its ambition to double farmers' income by 2022.
However, in our country, the planning and implementation of many enterprises in
an integrated farming system lack a scientific and systemic approach. Furthermore,
a thorough understanding of the component's interactions and interconnections
would increase food security. The impact of an integrated farming system on
doubling farmers' income was the primary goal of the current study. The study
was carried out in the districts of Palghar, Raigad, Sindhudurg, and Ratnagiri
in Maharashtra's Konkan area. Using multi-stage sampling approaches, 200
respondents in total were chosen. The “Ex-Post-Facto” research design was used
for conducting the study. The data were collected through the personal
interview. The data collected were processed and statistically analyzed by
using statistical techniques like frequency, percentage, mean, standard
deviation and chi-square test. Among the thirteen selected independent variables
namely age, farming experience, major occupation, annual income, cropping
pattern, livestock possession, information-seeking behavior, economic
motivation, irrigation status and risk orientation were shown significant
associations with the impact of integrated farming system while education, land
holding and productivity level shows highly significant association with impact
of integrated farming system in term of change in employment generation.
Author(s) Details
Bhagyashri Akshay
Ruikar
TMV Pune, India.
Please
see the book here:- https://doi.org/10.9734/bpi/bmerp/v3/1406
