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Microsoft Lays AI Sensors for Smart Farming, Cutting-edge Healthcare in India

"The role of AI will only get bigger for both agriculture and healthcare sectors in India. The seeds are now sown," Maheshwari added

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Logo of Microsoft outside it's office. Pixabay

China, the world’s biggest agricultural producer, is leading the race when it comes to empowering farmers with Artificial Intelligence (AI)-driven technologies.

The aim is clear: To help the community digitally record information to cut costs and increase yields — with just a smartphone in their hands as AI leveraged Cloud computing to make sense of the data for farmers.

India has now embarked on a journey to bring AI sensors into the fields.

For Anant Maheshwari, the company’s India President, Microsoft has begun empowering small-holder farmers in India to increase their income through higher crop yield and greater price control.

“We are working with farmers, state governments, the Ministry of Electronics and Information Technology (MeitY) and the Ministry of Agriculture and Farmers Welfare to create an ecosystem for AI into farming,” Maheshwari told IANS.

In some villages in Telangana, Maharashtra and Madhya Pradesh, farmers are receiving automated voice calls that tell them whether their cotton crops are at risk of a pest attack, based on weather conditions and crop stage.

“There are companies that serve equipments and capabilities for farmers. We are working with most of the stakeholders, like generic crop protection and seeds company United Phosphorus Ltd and engineering conglomerate Escorts, to create better AI-based models for farming in the country,” informed Maheshwari.

With United Phosphorus, Microsoft is working on providing front-end capabilities for farmers.

Escorts is working with Microsoft for its Cloud and AI technology enabling precision agriculture capabilities to help farmers make informed decisions and get more from their farms.

In collaboration with the International Crop Research Institute for the Semi-Arid Tropics (ICRISAT), Microsoft has developed an AI-Sowing App powered by Cortana Intelligence Suite including Machine Learning and Power BI.

The app sends sowing advisories to participating farmers on the optimal date to sow. The farmers don’t need to install any sensors in their fields or incur any capital expenditure. All they need is a feature phone capable of receiving text messages.

Representational image.
Representational image. Wikimedia Commons

After laying the initial infrastructure for smart agriculture, Microsoft has also taken further steps towards cutting-edge health care with the help from AI-based “Intelligent Cloud” and “Intelligent Edge”.

Nearly three million heart attacks happen in India every year and 30 million Indians suffer from coronary diseases.

In a novel effort to predict the risk of cardiovascular disease (CVD) among the Indian population, Microsoft India and Apollo Hospitals have launched the first-ever AI-powered heart disease risk score API (application programme interface).

It provides the capability of applying ML and AI to cardio-vascular health records to develop an Indian-specific heart risk score.

With the new heart risk score for India, Apollo Hospitals’ AI model helps gauge a patient’s risk for heart disease and provides rich insights to doctors on treatment plans and early diagnosis.

“This shows how AI-driven models can make a big difference and help the doctors in a country where health care needs.

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The company has also applied AI to devices for early detection of diabetic retinopathy to prevent blindness.Microsoft India also announced a partnership with SRL Diagnostics to expand the “AI Network for Healthcare” to pathology to detect cancer.

Dr Devi Prasad Shetty, Chairman and Executive Director of Narayana Health, has performed over 15,000 heart operations. His hospital chain does one-sixth of heart surgeries in India.

“His hospital chain is working on Kaizala app, Power BI and Azure to run the operation smoothly.

“Dr Shetty aims to put all electronic health records on Kaizala for real-time data analysis. This gives a doctor full information about a patient and his past,” said Maheshwari.

In October, NITI Aayog entered into a partnership with Microsoft to deploy AI technologies in areas such as agriculture, healthcare, natural language computing and sustainable environment.

“The role of AI will only get bigger for both agriculture and healthcare sectors in India. The seeds are now sown,” Maheshwari added. (IANS)

Next Story

Researchers Develop AI Algorithm That can Solve Rubik’s Cube in Less Than a Second

According to the researchers, the ultimate goal of projects such as this one is to build the next generation of AI systems

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Researchers have developed an AI algorithm that can solve a Rubiks Cube in a fraction of a second, faster than most humans. The work is a step toward making AI systems that can think, reason, plan and make decisions.

The study, published in the journal Nature Machine Intelligence, shows DeepCubeA — a deep reinforcement learning algorithm programmed by University of California computer scientists and mathematicians — can solve the Rubik’s Cube in a fraction of a second, without any specific domain knowledge or in-game coaching from humans.

This is no simple task considering that the cube has completion paths numbering in the billions but only one goal state – each of six sides displaying a solid colour – which apparently can not be found through random moves.

“Artificial Intelligence can defeat the world’s best human chess and Go players, but some of the more difficult puzzles, such as the Rubik’s Cube, had not been solved by computers, so we thought they were open for AI approaches,” said study author Pierre Baldi, Professor at the University of California.

“The solution to the Rubik’s Cube involves more symbolic, mathematical and abstract thinking, so a deep learning machine that can crack such a puzzle is getting closer to becoming a system that can think, reason, plan and make decisions,” Baldi said.

artificial intelligence, nobel prize
“Artificial intelligence is now one of the fastest-growing areas in all of science and one of the most talked-about topics in society.” VOA

For the study, the researchers demonstrated that DeepCubeA solved 100 percent of all test configurations, finding the shortest path to the goal state about 60 per cent of the time.

The algorithm also works on other combinatorial games such as the sliding tile puzzle, Lights Out and Sokoban.

The researchers were interested in understanding how and why the Artificial Intelligence (AI) made its moves and how long it took to perfect its method.

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“It learned on its own, our AI takes about 20 moves, most of the time solving it in the minimum number of steps,” Baldi said.

“Right there, you can see the strategy is different, so my best guess is that the AI’s form of reasoning is completely different from a human’s,” he added.

According to the researchers, the ultimate goal of projects such as this one is to build the next generation of AI systems. (IANS)