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With research staff from more than 60 countries, and offices across the globe, IFPRI provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition in developing countries.

Liangzhi You

Liangzhi You is a Senior Research Fellow and theme leader in the Foresight and Policy Modeling Unit, based in Washington, DC. His research focuses on climate resilience, spatial data and analytics, agroecosystems, and agricultural science policy. Gridded crop production data of the world (SPAM) and the agricultural technology evaluation model (DREAM) are among his research contributions. 

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Where we work

IFPRI currently has more than 600 employees working in over 80 countries with a wide range of local, national, and international partners.

From tomatoes to wheat, Indian crop forecasting is in the grip of a Raja Todar Mal problem (The Print) 

June 07, 2022


The Print (India) published an article saying that India’s U-turn on wheat exports is a result of incorrect estimates derived from an archaic crop forecasting system devised 4 centuries ago by Emperor Akbar’s finance minister. India has an urgent need to clean its data systems in agriculture.  The final production estimates for wheat harvested in April-May this year will be released in February 2023, a little too late for food management and trade policy decisions. Research fellow Avinash Kishore said, “The advance estimates of crop production can at best provide a signal. We function with the belief that random errors will cancel each other out at an aggregate level.”  He added, “Our entire data system is designed for grains, although in value terms horticulture, milk and livestock have far surpassed foodgrains. Yet, data gathering on these is horribly poor.” Kishore cited several examples of non-existent or poor-quality data. “We have no reliable data on value chains or how much food is wasted during transit, at warehouses, or on the neighborhood vendor’s push-cart. When a banana is over-ripe, it is sold for a lower price. The loss of value there is larger than the quantity loss,” Kishore said. “To become the export powerhouse India desires to be, it needs to pay attention to these data gaps.” 

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