TOWARDS A NEW GENERATION OF AGRICULTURAL SYSTEM DATA, MODELS FOR SUGARCANE BASED INTEGRATED FARMING SYSTEM OF WESTERN PLAIN ZONE OF UTTAR PRADESH

Abstract

Agricultural modeling has long suffered from fragmentation in model implementation. Many models are developed, there is much redundancy, models are often poorly coupled, model component reuse is rare, and it is frequently difficult to apply models to generate real solutions for the agricultural sector. To improve this situation, we argue that an open, selfsustained, and committed community is required to co-develop agricultural models and associated data and tools as a common resource. Such a community can benefit from recent developments in information and communications technology (ICT). We examine how such developments can be leveraged to design and implement the next generation of data, models, and decision support tools for agricultural production systems. Our objective is to assess relevant technologies for their maturity, expected development, and potential to benefit the agricultural modeling community. The technologies considered encompass methods for collaborative development and for involving stakeholders and users in development in an integrated farming system manner. The next generation of data models is developed through incorporation of all independent variables which affect directly or indirectly the output of a system. Models can also be useful in teaching processes involved in the systems and its behavior in response to input variables. Calibration, verification, and validation are very important procedure to produce accurate simulation models. This paper deals with the discussion that how the integrated farming system (IFS) ver. 1.1 model has been developed simulating the entire farm based situations faced by innovative farmers of western Uttar Pradesh with desired technological modifications needed to boost the farmers’ productivity and profitability on sustainable basis. Integration of sugarcane crop and practically feasible farm enterprises, we can earn better net profitability with lesser annual cost of cultivation with overall holistic B: C ratio under (IFS) ver. 1.1 models. These results reveal that induction of IFS principles and technological interventions on the basis of land use planning, the system can fetch better gains and livelihood through their farms. IFS ver. 1.1 model can act as an innovative tool to transform less remunerative farm production systems into highly remunerative systems using available farm resources to generate better farm gains on sustainable basis towards a new generation of agricultural system data models.