Partnership to deploy multi-model analytics for more accurate crop yield predictions

In a move aimed at strengthening data-driven agriculture, ICAR-Central Research Institute of Dryland Agriculture (ICAR-CRIDA) has signed a Memorandum of Agreement (MoA) with Mahyco Private Limited to develop advanced yield prediction capabilities for wheat and rice in smallholder farming systems.

The agreement, formalized at the ICAR-CRIDA campus in Hyderabad, marks a strategic collaboration focused on leveraging multi-model ensemble approaches and crop simulation technologies to improve the accuracy and timeliness of in-season yield forecasts.

The MoA was signed by Babul Kumar Sinha, Chief Administrative Officer (SG), on behalf of ICAR-CRIDA, and Vilas Parkhi, Lead–Technology at Mahyco, in the presence of Vinod Kumar Singh. Senior representatives from both organizations, including Smitha Kurup, Group Leader – Phenomics & Data Science at Mahyco, were also present.

Data-Driven Precision for Smallholder Systems

At the core of the partnership is a contract research project titled “Enhancing wheat and rice yield prediction in smallholder landscapes using multimodel ensemble approaches.” Under this initiative, ICAR-CRIDA will generate in-season yield forecasts for Mahyco’s seed production and demonstration plots, using advanced crop simulation models tailored to variable agro-climatic conditions.

The collaboration targets a critical gap in Indian agriculture—reliable, real-time yield intelligence for smallholder farmers, who operate in highly climate-sensitive environments. By integrating multiple predictive models, the project aims to deliver more robust and adaptive forecasting compared to conventional single-model approaches.

Bridging Research and Commercial Agriculture

The partnership reflects a broader shift toward convergence between public research institutions and private agritech players, combining ICAR-CRIDA’s expertise in dryland agriculture with Mahyco’s capabilities in seed technology and data science.

For Mahyco, the collaboration is expected to enhance decision-making across seed production cycles, enabling better planning, risk management, and resource optimization. For ICAR-CRIDA, it represents an opportunity to translate advanced research into field-level impact at scale.

Toward Smarter Agricultural Systems

As climate variability continues to challenge crop productivity, the ability to predict yields with higher precision is becoming increasingly critical. This collaboration positions both organizations at the forefront of efforts to build resilient, data-enabled agricultural systems, where predictive analytics can inform timely interventions and improve outcomes for farmers.

The initiative is expected to contribute to more accurate forecasting frameworks, supporting not only seed production strategies but also broader efforts to strengthen food security and climate resilience in smallholder-dominated agricultural landscapes.