Answer:
Here:
Explanation:
Texas, Kansas, and Florida are great examples of places like that
Answer:
Green revolution, great increase in production of food grains (especially wheat and rice) that resulted in large part from the introduction into developing countries of new, high-yielding varieties, beginning in the mid-20th century. Its early dramatic successes were in Mexico and the Indian subcontinent. The new varieties require large amounts of chemical fertilizers and pesticides to produce their high yields, raising concerns about cost and potentially harmful environmental effects. Poor farmers, unable to afford the fertilizers and pesticides, have often reaped even lower yields with these grains than with the older strains, which were better adapted to local conditions and had some resistance to pests and diseases. See also Norman Borlaug
The Seine river
Did you hear about the guy who dived in to a river in France? He was in-Seine!
Insane. Get it? No? OK...
Explanation:
A major problem with using 15 years of data to predict 100 years of data is that the 15 years could have been setting a trend, then level off.
For example, if the 15 years of data was a graph, and it was going up every year, then what if 20 years into the 100 years it stops going up? Then that means the data was invalid because there wasn't enough to base any trends off of.
You can prevent this from happening by extending the collection time of data and to reduce the amount of time that the data will be used to predict.
Hope this helps!
moving southwest towards mehiko
