Development of a Mobile App on Integrated Farming System
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Date
2022
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ICAR-Indian Agricultural Statistics Research Institute ICAR-Indian Agricultural Research Institute New Delhi- 110012
Abstract
Agriculture is one of the indispensable segments to Indian economy. Our farmers have contributed a lot to growth
prosperity of agriculture. However, the marginal and small farmers do not get the desired output due to the lack of
knowledge and information about the cropping systems. Most of them follow mono-cropping system and traditional
way of farming that lacks diversification. Integration of multiple enterprises such as livestock, poultry, fisheries,
mushroom production, and bee keeping along with traditional crops is needed for a better income for farmers.
However, farmers are not aware about the cropping system to be followed with the available land and resources that
can fetch him a better return. Multiple efforts have been taken to develop models ofintegrated farming system by the
scientists of agriculture research network. Models have been developed based on agro climatic condition, area,
resources available and factors that effects production, productivity and returns.These models need to be reached
out to the farmers in a scientific way so that they may adopt it for a better return. A decision support system is
needed that can guide them in this connection.
There are so many mobile applications that are used for a variety of purposes, including agricultural activities, all
over the world. Even though there are numerous mobile application developed for agricultural issues, still there is a
need for the development of mobile application to guide the farmers to choose different enterprise and follow
different cropping sequence that will help them obtain maximum output with sustainable lifestyle. The developed
mobile application is a decision support system for the farmers to select the right IFS model according to their need.
It guides him about the different enterprise to be followed up and also about the cropping sequence that may be
adopted for a better return. The decision support system has been developed by using Android Studio 2.3, Java and
XML has been used to programming. Tools used to develop this Decision support system are SQLite, Android
Studio IDE and Android Device Monitor. This app provides user friendly interface that helps the user to select the
suitable IFS model. This Mobile Application is an effort to bring a better possible return for farmers