It would almost seem more effective to group certain plants by genus, pick a common sub-genus, grow them in controlled conditions, take your intial datasets by varying levels of light, water, NPK, and pH levels, then quantify the negative repercussions of certain geographic areas and environmental conditions to create a more flexible geometry for comparison. You could also integrate insect migration/invasion predictions if you can get access to that level of data from the appropriate organization. I could be wrong, too.