Arya.ag and SOPA’s strategic partnership to drive efficiency in soybean monitoring

Arya.ag, India’s leading agritech platform, announced a strategic partnership with The Soybean Processors Association of India (SOPA) to enhance and streamline crop monitoring for Soybean across 51 districts. The collaboration will leverage Arya Ag’s cutting-edge satellite surveillance product, Prakshep, and its Artificial Intelligence “VaMa” powered by multiple data sources.

As part of the Memorandum of Understanding (MoU), SOPA will receive dynamic information, rich datasets, maps, and data-enriched secure APIs for their subscribed districts, spanning Madhya Pradesh, Maharashtra, and Rajasthan. The integration of Arya.ag’s state-of-the-art technology will enable SOPA to remotely scout its districts, detect anomalies, and track farm growth seamlessly through a user-friendly web/mobile application provided by Arya.

“We are very honoured to become SOPA’s satellite surveillance partner. Through this partnership, Arya.ag and SOPA would leverage deep tech capabilities for real-time monitoring of the Soybean crop across the country. Our satellite surveillance product, Prakshep, combined with the power of Artificial Intelligence ‘VaMa’, will empower SOPA to make informed decisions for strengthening the soybean value chain,” said Chattanathan Devarajan, Co-founder at Arya.ag.

“SOPA, as a leading association in the soybean processing industry, recognises the transformative potential of Arya.ag’s technology to drive efficiency and sustainability in agriculture. Arya’s promising technology will add value to SOPA’s crop surveillance report. The collaboration promises to enhance crop productivity, optimise resource utilisation, and foster sustainable practices across the soybean value chain,” said D.N. Pathak, Executive Director at SOPA.

The partnership between Arya.ag and SOPA exemplifies the power of innovation and collaboration to impact India’s agricultural landscape positively. By utilising Arya.ag’s Prakshep and VaMa solutions, SOPA aims to enhance crop yields, facilitate data-driven decision-making, and drive sustainable agricultural practices.

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