Rather than guessing their crop's potential need for water based upon weather
changes, farmers can use remote sensors to measure how much water their crop is actually using. This would give them a more accurate measure of how much more water it needs.
Moran believes that if farmers are getting good and timely measurements of plant and air temperature, then they can program when and how much water to give each crop through an irrigation system. No more water would be used than needed, thus saving cost and conserving water.
Moran introduces one study she conducted in Arizona to investigate the use of remote sensing data for scheduling cotton irrigations. Typically, those farmers irrigate ten times per growing season, but evidence showed that some of those farmers could achieve basically the same harvest with only nine irrigations.
“In those cases, one less irrigation saved more than all the cost of remote sensing data,” she states. “Both irrigation and satellite remote sensing data are expensive. But then again many farmers are used to wording together as a group. They are used to sharing. I'm hoping they could do the same with remote sensing data—purchase one scene over a large area to cover many farms, which would further reduce the cost.”
1.What does Moran think is the problem with farmers?
A.Overused reservoirs.
B.Precision farming.
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