Smart farming is suitable for agriculture area where advance technologies are available for all types of information system which enabled farming field. For farming soil, weather, crops and many mores necessarily needed for farmers. The production of crop depends on the soil quality used to produces the plants. Soil has the major nutrients like nitrogen (N), phosphorus (P) and potassium (K) and some minor nutrients as well and humidity, temperature and pH value. Each organism has own important role for crop production. Farming should be smart as advancement is there through technologies. Smart Farming is concept where computer and information technology may take care about farming. Through IoT enabled devices, wireless sensor network (WSN), Machine learning, Deep learning and Agile methodology, farming becomes smart farming. In this paper we describe that how farmer faces challenges about the farming that may be by poor soil quality which may impact the production of crop. We give the systematic literature reviews on the smart farming-based computer technologies. WSN plays the role in smart farming and data collected through IoT devices. Year wise research papers explained with what technologies and methodologies used. Outcomes and future directions are also given in the tabular format. Possible research gaps also mentioned in this paper.
Key words: smart farming, WSN, machine learning, IoT, Agile.
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