A new study recently released by scientists at the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) has indicated the potential of geospatial maps and satellite data in shaping the future of food security.
Focusing on South Asia, the research underscores how these advanced tools can significantly enhance agricultural productivity and sustainability.
According to Dr. Stanford Blade, Deputy Director General-Research at ICRISAT, the need to sustainably intensify agricultural production has never been more urgent with only 6 annual harvests remaining before the 2030 Sustainable Development Goals (SDG) deadline.
Identifying Drylands, in particular, Blade said that this tool presents a significant opportunity to enhance agricultural productivity and contribute to global food security.
“Dryland cropping systems are complex, shaped by biophysical, social, and economic factors. The use of geospatial products and satellite data for mapping these systems can be invaluable. These tools provide critical insights for decision-making, unlocking opportunities for increased production, and enhancing farmers’ incomes in these challenging environments,” said Blade.
The study covered an area of 477 million hectares spanning across India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka, identifying and mapping 27 major cropping systems.
Dr. ML Jat, Global Research Program Director, Resilient Farm and Food Systems on his part highlighted the uniqueness of the research saying: “Predominantly, 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 study is a trailblazer in understanding the entire cropping system, i.e., crops grown in a sequence over the entire year.”
Redesigning cropping systems
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.
“This data serves as a foundational layer and can be used in various ways to understand and improve agricultural performance. When combined with climate and soil data, it can aid in planning for resource optimization and enhancing agricultural productivity,” noted the study’s lead author, Dr Muralikrishna Gumma.
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 optimize resource allocation.
Geospatial mapping can inform policies that ensure the efficient distribution of resources like water, fertilizer, 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.
