Predictive Model for Agriculture Using Markov Model

With upcoming technologies in farming and new varieties of seeds, it is a new challenge to adopt new ways of farming with changing climate conditions. So IoT gives us a new way to evolve with upcoming challenges. Production of crops is always influenced by the weather conditions; climate change has drastically changed the scenario. In new generation, new seed is evolved to get better yield, but they come with their own climate and water requirements. So in this work, we have tried to train the machine with the life cycle of the crop and make suggestion to the farmer with automated maintenance to maintain the environmental requirement of the crop at various stages of life cycle of the crop. The highlighting feature of this smart farming project is to maintain and meet the dynamic requirement of the crop and maintain the environmental condition based on the life cycle of the crop rather than making static threshold-based system. The farmer can check for new suggestions based on the growth of the crop which is directly proportional to the condition and height of the crop. Controlling of all these operations can be handled through any computer connected to Internet and connecting sensors with Intel Galileo 2.