What is in Store for India’s AI in the Primary Sector for 2023?

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What is in Store for India’s AI in the Primary Sector for 2023'

India’s AI in the primary sector for 2023 has led to a massive transformation in the country

In India, public funding for the Digital India mission, which includes a goal to deploy artificial intelligence to promote financial inclusion, bolster the education sector, and alter urban infrastructure, climbed by 67 percent from the previous year to Rs10,676 crores in 2022–23. AI-based solutions are already being used by states like Tamil Nadu, Punjab, Uttar Pradesh, and Telangana to assist law and order, boost agricultural production, and enhance health care delivery.

By 2025, it is anticipated that India’s AI industry would develop at a CAGR of 20.2 percent, reaching US$7.8 billion. Along with government measures, start-ups in India have boosted the country’s GDP. By 2025, experts project that AI will contribute between US$400 billion and US$500 billion to India’s GDP, or 10% of its goal of US$5 trillion.

The year 2023 is here, and the world anticipates the achievement of significant objectives. Let’s first examine the state of India’s AI in the primary sector for 2023, such as agriculture, education, and health.

India had an estimated 1000 agriculture companies collaborating with the government on agtech as of March 2022. Additionally, Nasscom said that $1.6 billion in financing had been logged.

The National Agriculture Market and eNAM, an electronic trading platform for all of India, are two of the major government aid programs that have helped to enhance the agricultural industry. Through the use of sustainable technology, the National Sustainable Agriculture Mission seeks to boost agricultural productivity. A national e-Governance Plan for agriculture gives financing for cutting-edge technology like blockchain, machine learning, drones, and AI top priority.

At the Google for India 2022 event, Google recently disclosed its partnership with Apollo Hospitals in India to enhance the usage of deep learning models in x-rays and other diagnostic procedures. In India, there are around 64 physicians accessible for every 100,000 people, compared to the worldwide average of 150 doctors for every 100,000 people, according to statistics from the World Economic Forum.

Poor healthcare kills 16 lakh Indians annually, mostly in rural India, where more than 70% of the population lives, according to the research. Has India recently taken steps to help people in need? Well, predictive analytics powered by Artificial Intelligence (AI) for early detection has been adopted to cater to it. This technology can be a powerful tool for targeted public health interventions, especially in areas with limited healthcare capacity and slow disease detection capabilities outside of urban areas.

Opportunities to address these disparities and reach AI maturity in India’s US$372 billion healthcare business are presented by the use of deep learning technology and automated intervention in the current and next years. Companies like Google, Microsoft, Meta, and Apple have invested US$3 billion in 2021 and quadrupled their spending this year to make it happen. A few famous startups, such as Pharmeasy, HealthifyMe, Healthplix, DocTalk, and many more, have also been growing rapidly.

Healthcare applications of AI algorithms now include early illness detection, drug development trials, precise patient monitoring, and self-care. Statistics show that by 2025, India would invest US$11.78 billion in India’s AI in the primary sector, which will enhance the country’s GDP by US$1 trillion by 2035.

Mr. Ravinder Rathi from Quarks Technology responded to a question on the future of AI in agriculture, health, and education by saying that “AI-enabled precision farming and precision irrigation has helped farmers to boost their crop yields while using fewer resources. The agriculture industry was influenced by the use of AI-powered sensors and drones to provide farmers with precise information about the state of their fields and crops. AI-powered systems for crop, animal, and disease monitoring may identify problems in both crops and livestock and notify farmers to take appropriate action.

He said, “Learning may now be tailored utilizing AI-enabled learning systems that employ AI-powered algorithms in education. These systems evaluate a student’s performance and make personalized, need-based learning material suggestions. Additionally, chatbots with AI are available for student help.

In 2022, India will leverage AI-driven efforts such as medical imaging and illness diagnostics to more reliably identify, diagnose, and treat ailments than it now does. Additionally, clinical trial management can now be done more effectively thanks to AI technology, Rathi added.



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