deletions | additions       diff --git a/subsection_Method_Constraints_Should_be__.tex b/subsection_Method_Constraints_Should_be__.tex  index e93a722..58e5dc6 100644  --- a/subsection_Method_Constraints_Should_be__.tex  +++ b/subsection_Method_Constraints_Should_be__.tex 
...
* Should show changes in crop rotations: intensification  Our approach is based on the following concepts:  1. Hub crop: \textbf{Hub crop}:  Each crop rotation is organized around a hub crop which dominates the rotation, and provides the farmer a competitive edge in the market. E.g. corn is the hub crop in most of the US Midwest. 2. Substituting \textbf{Substituting  time by space: space}:  Crop rotations exist as a time-series of crops grown on the same parcel of land. At a coarser resolution (say 0.25 degree), we can substitute the temporal dimension of a crop rotation by looking at the relative acreage of different crops in the region. Greater the acreage, greater the share of that crop in the rotation. 3. Using \textbf{Using  fertilizer data data}  to infer monoculture versus rotation: Crop rotations reduce the amount of fertilizer needed to produce subsequent crops. Using information on fertilizer usage, we can deduce whether a crop is rotating or a monoculture. 4. Local knowledge: \textbf{Local knowledge}:  Information on historic and present crop rotations practiced in a region will be used to correct and inform the algorithm.
...