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Agri Technology


Rallis India powers its hybrid seed production process with mobile app SeedSure

Rallis India powers its hybrid seed production process with mobile app SeedSure

Rallis India Limited, a Tata enterprise and a leading player in the Indian agri inputs industry announced the roll out of a mobile application, ‘SeedSure’, for monitoring and managing its Hybrid Seed Production  (HSP) program.

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MUMBAI, 20 October 2023: Rallis India Limited, a Tata enterprise and a leading player in the Indian agri inputs industry announced the roll out of a mobile application, ‘SeedSure’, for monitoring and managing its Hybrid Seed Production  (HSP) program.

The ‘SeedSure’ app helps deal with critical operations such as data collection and crop assessment during different stages of the crop life cycle.. Seedsure is developed with the help of TCS.

Management of Hyrbrid Seed Production is a complex task for many organisations and inefficient seed production monitoring leads to problems like measurable reduction in crop yield or unanticipated yield drops.

Commenting on the introduction of ‘SeedSure’, Sanjiv Lal, MD & CEO of Rallis India Limited, said, “This hybrid seed production monitoring app marks a significant milestone in our journey towards efficient operations. At Rallis India, we recognise the critical role that technology plays in addressing the challenges of the complex seed production process. 'SeedSure' is a testament to our unwavering commitment to leveraging innovation and technology to solve these complex challenges”

Commenting on the diverse merits of ‘SeedSure’, S Nagarajan , Chief Operating Officer of Rallis India Limited, said, “In today’s times, interventions such as ‘SeedSure’ are important for agri input players as they help seamless data collection, monitoring and management of the Hybrid seed Production program. The robust data collected will help in improving production quality, apart from providing early signals of any production challenges. In future, we aim to integrate it with remotely sensed weather and crop data to support AI/ML based predictions on crop yields at a plot level. It is a robust, data-driven and an at-scale approach towards seed management, which paves the way for improved & predictable yields and quality.”


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