Farmers Use Predictive Analytics to Optimize Irrigation Amidst Climate Change
Farmers Use Predictive Analytics to Optimize Irrigation
Amidst Climate Change
18 April 2021 | DELL Technologies
Predictive Analytics Optimize Irrigation
While farmers can’t control the weather, they can control how they respond to it.
AI and machine learning technology ensures precise crop irrigation. With sensors in the soil
and on the plants themselves, farmers know exactly how much water their crops need to thrive.
SupPlant places five sensors around the plant: on the tree, in deep soil, in shallow soil,
and on the trunk, leaf, and fruit. These sensors measure stress on every aspect of the plant,
from soil nutrition to water usage and plant genetics.
The sensors then digest all of that information every 10 minutes, pairing new data with historic
weather and soil data from similar crops and climates. This delivers a set of recommendations
on a plant-by-plant basis that feeds into other pieces of agricultural technology like irrigation
systems, delivering the exact amount of water a plant needs each day.
Sensor- or camera-based technology has one thing in common: It generates massive amounts
of data. “What AI allows us to do is extrapolate a lot of information to see not just individual
plants but how they’re performing over massive landscapes,” says Dr. Mirsky. “AI is transforming
our ability to understand how to manage farms more efficiently.”
What makes AI so powerful is the connection to other pieces of technology in a farmer’s operations,
like their irrigation system.
“AI automates that process so that the correct amount of irrigation is triggered based
on the readings from the sensors, and that can change by the hour,” says Ben Ner.
“We’re using technology to replace what used to be the basic intuitions of the farmer.”