"All over the world, agricultural surveys are conducted to gather alarge amount of information on the classic crops, yields,livestock, and other agricultural resources. The survey andanalysis methods have tended to be locally devised to meet local ornational conditions, cultures, and goals, but over the past fewyears, efforts have been made to establish methods that would allowcomparison and evaluation across national and cultural boundaries.A summary of that effort is provided here in 22 methodology papersselected from presentations at the International Conference onAgricultural Statistics in 1998, 2001, 2004, and 2007. They addressissues in census, frames, registers, and administrative data;sample design, weighting, and estimation; geographical informationsystems and remote sensing; data editing and quality assurance; anddata dissemination and survey data analysis. Mathematicians andeconomists looking toward agriculture, agricultural scientistslooking at statistics, and researchers and policy-making looking atthe intersection could all find the volume to be a valuablereference." (SciTech Book News, December 2010)
