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A complete overview of Artificial Intelligence in Agriculture Market

Tooba Maher
Tooba Maher

Increasing consumption and rising requirement of better yield of vegetation are estimated to be one of the essential elements calling for robots in agriculture. Increasing intake motivates farmers to increase farming operations and provide an upward push to the requirement of automating farming operations.  

Artificial Intelligence

Artificial Intelligence (AI) with simulated algorithmic computer models that mimic human behavior can be considered. In this process an installed application guides farmers through the process of growing, sowing, harvesting and sale of produce. 

Artificial Intelligence is a program that can adapt itself to execute tasks in real time situations using cognitive processing as the human mind. Interestingly, it does not require constant supervision. 

Benefits of Artificial Intelligence in Agriculture

In Agriculture Market, AI technology has been segmented into robotics, crop, soil management and animal husbandry. Algorithmic models composing of participants and market behavior to price movements of various years tell their likely price in near future which avoids distress in farmers. 

AI models store crop specific moisture requirement and assess the moisture content in the fields by using satellites. It also gives signal to farmers through text messages for water requirement through auto-irrigation. 

AI makes pragmatic assessments of demand and supply, market intelligence, crop competitiveness and regional crop planning very handy. 

This technology assist farmers in enhancing their crop yield and product quality by analyzing and correlating large amount of structured and unstructured data from multiple sources to extract actionable insights to enhance yield. 

In Tanzania, AI discovered diseases with 98 percent accuracy and deployed robotics to uproot weeds. 

Future of Artificial Intelligence in Agriculture

According to a study digital farming and connected farm services can impact 70 million Indian farmers in 2020. Thereby, adding $9 billion to farmer incomes. 

In 2017, the Global AI in agriculture market size was 240 million US$ and it is expected to reach 1100 million US$ by the end of 2025 and a CAGR of 20.8 percent during 2018-2025.  Thus initiatives to increase digital literacy in rural landscape can be seen as a weapon in doubling farmer income in near future. 

Leading vendors in the AI in Agriculture Market

Ag Leader Technology, Trimble, John Deere, Iteris, AGCO, aWhere, Gamaya, Granular and Raven Industries. 

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