A worker is pictured behind a logo at the IBM stand on the CeBIT computer fair in Hanover
A worker is pictured behind a logo at the IBM stand on the CeBIT computer fair in Hanover February 26, 2011.Reuters File

Global tech major International Business Machines (IBM) is looking to partner with government bodies and financial institutions in the country to deepen the reach of its artificial intelligence (AI) platform for the farm sector.

The US-based company launched 'Watson decision platform for agriculture' globally on Monday evening, eyeing the USD 2.4-trillion agriculture market.

"We will be partnering with the public sector banks and insurance companies for the platform," vice president of research for India and Singapore, Sriram Raghavan, told PTI.

When asked for a target on a number of partnerships which the company aims to forge, he said there will be "tens" of such tie-ups.

The company's tie-up with the Niti Aayog in agriculture is also based on usage of AI for the farm sector, he said, adding that all the 10 districts where the pilot project has to be implemented have been identified.

The 'build phase' of the Niti Aayog project is over and it will be rolled out on the field soon, he added.

The newly launched platform uses data from multiple sources, including satellites and also The Weather Company, which is part of the IBM group, he said.

It can give farmers real time advisories based on various data inputs and analysis, help banks and insurance companies assess the exact risk to build financial products and also help other stakeholders including commodity traders.

He said given the vast diversity and peculiar aspects like fragmented land holdings, the company will tie-up with public institutions and also farmer produces organizations.

Raghavan said the presence of remotely sensed data availed through satellites makes it the right time for companies to invest to create AI-based tools for the farm sector.

The newly launched platform can help predict yields, fight pests, determine soil moisture and monitor crop health, among other aspects, he said.