India being a farming country, its cost-cutting measure for the most part workers depend on cultivation of crop and its growth connected with agricultural manufacturing products. In India, crop growing is for the most part subjective by rainwater which is extremely volatile. Crop growing also depends on diverse soil parameters, namely Phosphorus, Nitrogen, Potassium, Soil moisture, Crop rotation, and Surface temperature and also on weather aspects which include temperature, rainfall, etc. In India now is quickly progressing in the direction of technological growth. Technology will show to be favourable to agriculture which will boost crop production follow-on in better yields to the cultivator. The proposed article provides a clarification for Smart Agriculture by monitoring the farming field which can support the cultivator in increasing effectiveness to a massive coverage. Weather forecast data such as temperature and rainfall and soil parameters obtained from Indian Meteorological Department (IMD) this repository gives just round the corner into which crops are appropriate to be advanced at a particular area.

• Smart Agriculture,
• Crop prediction,
• Machine learning,
• advanced farming techniques
• Fertilizers
• yield prediction

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[49] dataset are: https://en.tutiempo.net/ for weather data

[50] dataset are: https://www.kaggle.com/srinivas1/agricuture-crops-production-in-india for crop yield data.