The Indian economy is mostly Agrarian and is highly dependent on the availability of optimum water and humus levels in the soil among other important natural resources. There is a huge rise in demand for agricultural production with the ever-increasing population in India. Uncertain weather conditions, improper water management and outdated irrigation systems deployed on the farm-sites hamper the yield to its minimum. In this Paper, we are focusing on an IoT and ML-based approach to maintain soil moisture levels optimum for the growth of crops, irrespective of the weather conditions for the next 24 hours. The proposed solution will have a smart irrigation system helping in proper water management and providing ideal crop suggestions based on historic soil condition data. This design will also provide the quantities of minerals needed to be added to the soil.
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Syed et al. (2019) studied this question.
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