Why Is AI-Integrated IoT Catching Fancy of Agrarian Community?

The booming population is putting immense pressure on the agrarian community to produce more of all kinds of crops, dairy products, and meats than ever before. In addition, the growing cities, which are eating up agricultural land, are making this task increasingly difficult. This is why the focus at the individual farmer and government levels has started shifting toward modern ways of practicing agriculture.

Like most industries, agriculture is now embracing digitization and, with it, its various components, such as drones, robots, and sensors. To make all these systems more effective and the cultivation and animal husbandry processes more fruitful, artificial intelligence (AI) is being leveraged. As per P&S Intelligence, this will be the key reason behind the growth of the AI in agriculture market from $852.2 million in 2019 to $8,379.5 million by 2030, at a 24.8% CAGR between 2020 and 2030.


 The purpose of using AI in agriculture is to offer real-time updates on sowing and reaping times, crop and animal health and growth status, weather and soil, animal watering and feeding needs, and biocide requirement. Broadly, the key applications of AI in this sector are precision farming, livestock monitoring, agricultural robots, and drone analytics.

Get the Sample Copy of this Report @ https://www.psmarketresearch.com/market-analysis/artificial-intelligence-in-agriculture-market/report-sample
 
Among these, most farmers are utilizing it for precision farming due to the rising need for producing more from the reducing farming area. The usage of AI for precision farming is essentially driven by the internet of things (IoT) technology, which uses an interconnected network of sensors to gain data on various aspects and then sends the information over to the mobile app or computer application owned by the farmer or government.

This market research report provides a comprehensive overview of the market
  • Future potential of the market through its forecast for the period 2020– 2030
  • Major factors driving the market and their impact during the short, medium, and long terms
  • Market restraints and their impact during the short, medium, and long terms
  • Recent trends and evolving opportunities for the market participants
  • Historical and the present size of the market segments and understand their comparative future potential
  • Potential of on-demand logistics services, so the market players make informed decisions on the sales of their offerings

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