Analyzing the soil conditions and weather data to monitor crop growth in rural India

Agriculture is the primary source of livelihood for about 58% of India’s population. The Indian food industry is poised for huge growth, increasing its contribution to the world food trade every year due to its immense potential for value-added, particularly within the food processing industry. Indian food and grocery market is the world’s sixth-largest, with retail contributing 70% of the sales. 

The problem is that agriculture in India is terribly affected due to several changing factors and a lack of knowledge about it by the farmers. Various changes in the soil moisture and characteristics make it tough for the farmers to analyze the situation and take appropriate actions for plant growth. 

The main aim of this model is to guide the farmers to grow appropriate crops by analyzing soil conditions and various other factors such as weather conditions. 

Based on the input data, the model will show whether the region is suitable for a particular crop or not. It will also have an option to reach out to the model creators if the model is unable to process the data for some reason. Regular scanning will allow for check-ins to avoid damage to the plants, allowing the farmers to grow the crop using smart techniques.  Based on the growth and external factors provided, guide the farmers to follow proper steps for its most effective and efficient growth.