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ICRISAT releases study on geospatial mapping for sustainable agriculture in South Asia

Geospatial mapping can inform policies that ensure the efficient distribution of resources like water, fertiliser and seeds, based on the specific needs of different cropping systems. (Image source: ICRISAT)

A recent study released by the scientists at the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) highlighted the role that geospatial maps and satellite data play in shaping the future of food security

The research which mainly focuses on South Asia underscores the significance of these advanced tools in enhancing the agricultural productivity and sustainability. With only 6 annual harvests remaining before the 2030 Sustainable Development Goals(SDG) deadline, the need to sustainably intensify agricultural production has never been more urgent. Drylands, in particular, present a significant opportunity to enhance agricultural productivity and contribute to global food security.

The study covering an area of 477 million hectares spanning across India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka, identified and mapped 27 major cropping systems. Global Research Programme director, Dr ML Jat highlighted the uniqueness of this research stating that the studies use spatial data to map single or major crops such as rice, wheat and sugarcane or to monitor crop intensity, natural vegetation and more. 

This time series data provides a fresh perspective on rethinking and redesigning cropping systems, addressing food security and climate resilience challenges in the near future. On a global scale, these geospatial maps provide essential data that can guide climate change mitigation efforts. At the national level, these data sets offer a detailed understanding of regional cropping patterns, enabling governments to optimise resource allocation.

Geospatial mapping can inform policies that ensure the efficient distribution of resources like water, fertiliser and seeds, based on the specific needs of different cropping systems. Additionally, these maps can be integrated into disaster management strategies, helping to identify areas vulnerable to agricultural stress, such as droughts or floods, and allowing for more targeted and effective responses. 

“This data serves as a foundational layer and can be used in various ways to understand and improve agricultural performance," noted the study’s lead author, Dr Muralikrishna Gumma. "When combined with climate and soil data, it can aid in planning for resource optimisation and enhancing agricultural productivity.”