Article ID: | iaor201110275 |
Volume: | 104 |
Issue: | 9 |
Start Page Number: | 755 |
End Page Number: | 769 |
Publication Date: | Nov 2011 |
Journal: | Agricultural Systems |
Authors: | Cock James, Oberthr Thomas, Isaacs Camilo, Lderach Peter Roman, Palma Alberto, Carbonell Javier, Victoria Jorge, Watts Geoff, Amaya Alvaro, Collet Laure, Lema Germn, Anderson Einar |
Keywords: | management, datamining, statistics: general, numerical analysis, geography & environment |
For millennia farmers have continually improved their crop management and production practices through their observations and experience. More recently modern science and research methods based on controlled experiments became the most visible instrument of technological change in agriculture, nevertheless farmers continued to develop and implement new technologies based on their own observations made under commercial conditions. Modern information technology and social organization of producers make it possible to use operational research, which is based on the observation and analysis of operations so as to improve them, to manage crops better. The article describes two cases, coffee and sugarcane, in which observation of the results obtained by farmers, with the natural variation in the environment and the distinct management practices they apply can be used to determine site specific crop management practices. The basis of the methodology is to (a) obtain data from a series of cropping events that characterizes the conditions under which each crop is grown, how it is managed and how it performs under commercial conditions (