Agriculture decision support system using data mining

Abstract

In agriculture sector, achieving maximum crop yield at minimum cost is a goal of production. Process of taking a decision is so complex as there are several factors affecting entire farming process. This smart phone app is easy to use and in affordable cost which will suggest most probable matching crops to people according to basic inputs like water availability in mm, average temperature, average soil ph of farm, locality of farm, soil type, crop duration, etc. so by certain calculation at backend, this app shows most probable crops list for that farm. Proposed decision support system is useful in agriculture system to assist farmers for selection of a crop for cultivation mapping using different ground parameters like soil type, PH-value of soil, average weather required, required water consumption, temperature range, etc. This system used to increase productivity of crops by providing basic information and the list of the crops. Using of on-line analytical processing and date mining enriches knowledge base with new agriculture information. Android mobile use in agriculture is as the core components to more helpful for growth in agriculture sector. The main challenge in traditional method is selection of crops as per soil type. This user-friendly android application suggests most probable matching crops to farmers according to season and the soil type so that farmers can cultivate more suited crops and increase production ratio. Application takes inputs parameters required to identify the best possible crop and outputs the most probable matching list of crops. As this system more helpful to increase productivity of crops and indirectly to increase GDP of India reduce poverty.