Dr. S. N. IslamPRATIKSHA SUBBAT-108032024-06-242024-06-242022https://krishikosh.egranth.ac.in/handle/1/5810210786Agriculture 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 farmersEnglishThesis