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Avocado Farmer Senses a Way to Cut Costs
Water consumption can make avocado farming a losing proposition for small growers. A LoRa-based sensor network is helping Kurt Bantle’s orchard become more sustainable.
Aug 11, 2016—
If you are a fan of the avocado, you know that your desire for the fruit often comes at a steep price. That's partly because it is a very thirsty crop. In California, farmers typically expend 74.1 gallons of irrigated water to grow a pound of avocados, according to Mesfin Mekonnen and Arjen Hoekstra, researchers at the University of Twente, in the Netherlands. That amount of water is far greater than what is needed to grow the same amount of tomatoes, strawberries or lettuce.
Five years ago, Kurt Bantle, a senior solution manager at Spirent, a company that provides evaluation and development services for telecommunications networks, devices and applications, decided to try his hand at avocado farming. He quickly learned about the burden that water footprint takes on growers.
Most avocado growers, Bantle says, use 4 acre-feet of water to irrigate each acre of trees per year. But at $1,200 an acre-foot (1 acre-foot equals 326,000 gallons), water consumption can make avocado farming a losing proposition for small growers. "We could never afford to operate the irrigation system for 12 hours every four days," he says, referring to a baseline consumption of 4 acre-feet of water per acre (a total of 48 acre-feet) per year.
As luck would have it, Bantle was also tasked with helping to develop an IoT network offering at his day job. So he decided to turn his avocado-growing hobby into a work project.
Bantle started by surveying the marketplace for IoT systems designed for agriculture. "There are IoT solutions for large-scale operations," he explains, "such as big soybean farmers growing thousands of acres, but there was nothing for small scale." He began by testing the use of soil-moisture sensors that communicate via a ZigBee mesh network, but found that managing the network quickly became difficult. Due to the nature of the mesh network, every data packet was transmitted over every node, which meant he was "sending a lot of data over a small pipe," and consuming a great deal of battery power. "I probably didn't have the most efficient topology set up," he admits. "I had every [sensor] acting as a router. Nothing ever slept."
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