New technology detects onion disease

Onions, one of the biggest vegetable crops in Georgia, risk disease when they are harvested and stored. To solve this issue, University of Georgia researchers have developed new technologies, including a gas sensor and imaging methods, to detect diseases in onions. Their study was published recently in the journal Sensors.

As part of a three-year grant, Changying "Charlie" Li, an associate professor in the College of Engineering, sought to find latent diseases in onions, ones not easily detected by the human eye. These diseases can spread to other onions in close vicinity, sometimes damaging half of the supply in storage.

Onions, which had a farm gate value of $93.1 million in Georgia in 2013, are susceptible to two major postharvest diseases, known as neck rot and sour skin, which cause crop damage and lost revenue each year. The diseases are difficult to naturally detect, so Li and his collaborators developed technologies that would monitor quality in onion storage facilities.

With Glen Rains, an entomology professor in the College of Agricultural and Environmental Sciences and adjunct professor in the College of Engineering, Li's lab designed an electronic nose, commonly known as the e-nose, a device meant to detect smells in the air.

"Electronic noses can be a low-cost instrument for detecting smells," Rains said. "There is precedent in using electronic noses to identify different chemicals in odors."

Postharvest diseases cause onion degradation, rotting and a unique odor. The e-nose is able to monitor onion storage for the odor.

"We developed the sensor to detect the smells of diseased onions," Rains said. "Using a microprocessor, the e-nose collects data and sends it to a computer. The computer then determines the results."

Li and Rains tested the e-nose on Vidalia onions, Georgia's official state vegetable. Collaborating with Vidalia onion farmers, Li and Rains successfully tried the e-nose on onion samples.

In addition to the gas sensor, the three-year project also yielded other technologies to combat the spread of postharvest diseases.

Li's group developed an imaging system for quick detection of sour-skin-infected onions on packing lines to potentially reduce the reliance on human inspectors. The imaging system prevents infected and low-quality onions from being packaged and sold to consumers. Another imaging system screens onions with high dry matter content, which has the practical value to the onion powder industry and annually is more than $100 million in revenue.

Now at the conclusion of their project, Li and Rains hope to continue to find ways to help the onion industry.

The full article is available online at www.mdpi.com/1424-8220/15/1/1252.