I am working on Agricultural crop classification using multi-temporal Optical (Very high resolution) imagery. My study area is very big (two entire states in India) and diverse in terms of spatial distribution and size of agricultural plots. How to generate a ruleset for classification in eCognition to get high accuracy? The ruleset has to be dynamic (taking into account the time and phenology).