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.

 

 

Leaf Temperature Sensor  Stem Diameter

 

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.”

 

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