Revisiting the inverse size-productivity relationship
- From
-
Published on
07.04.21
- Impact Area
-
Funders
Gates Foundation

Quantifying agricultural productivity relies on measures of crop production and land area. Those measures need to be accurate, but it is often difficult to source reliable data. Inaccurate measurements affect our understanding of the relationship between agricultural productivity and land area.
Researchers examined the sensitivity of empirical assessments of this relationship to alternative measurement protocols. Scientists from the International Maize and Wheat Improvement Center (CIMMYT), Trinity College Dublin and the International Food Policy Research Institute (IFPRI) analyzed different methods of plot-level production and area measurement.
The study, to be published, is said to be the first to evaluate errors along the two dimensions —production and area — in all available measurement techniques.
Related news
-
ICRISAT and Partners Launch AI-Powered Climate Advisory Initiative to Boost Farmer Resilience
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)30.07.25-
Big data
-
Environmental health & biodiversity
The new initiative leverages artificial intelligence (AI) and machine learning (ML) to deliver hyper…
Read more -
-
AgriLLM: How CGIAR is developing an AI-powered agricultural advisory service for global South
Digital Transformation Accelerator09.07.25-
Big data
CGIAR, in partnership with the United Arab Emirates’ AI71, has initiated the development of an…
Read more -
-
Bioflow gets smarter with new modules and cloud features
CGIAR Initiative on Breeding Resources19.05.25-
Big data
The development of Bioflow, CGIAR's open-source breeding analytics pipeline, funded by GIZ through C…
Read more -