Abstract

Agriculture is the art and science of cultivating the soil, growing crops, and raising livestock, which is the major backbone of India. Automation is known as the revolution in technology and has an enormous positive impact across domains & regions. Automation's foremost objective is to increase production. Exponential growth in the population of the country demands the need to have exponential growth in the food production. Question arises what governs the increased food productionƒ One of the answers is adequate availability of nutrient contents in the soil is the governing factor that affects the food production which needs to be monitored regularly. The Exponential growth in the food production can only be achieved through Agriculture Automation. Agriculture automation can be achieved by adopting multiple technologies that are available like wireless communication, AI and ML, deep learning, big data analytics, and IoT. etc. Maintaining adequate availability of nutrient contents, that are site & crop specific in the soil, using Soil Health Monitoring [SHM] system becomes the major challenge that needs to be addressed using the Automation technologies. This article discusses various SSNM [Site Specific Nutrient Management] systems available, possibility of integration with Automation technologies that in turn will aid in SHM by proposing site & crop specific fertilizer timely.

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