{"id":77444,"date":"2024-11-04T16:58:46","date_gmt":"2024-11-04T21:58:46","guid":{"rendered":"https:\/\/cals.ncsu.edu\/psi\/?p=77444"},"modified":"2026-09-12T13:45:15","modified_gmt":"2026-09-12T17:45:15","slug":"toward-faster-nematode-test-results","status":"publish","type":"post","link":"https:\/\/cals.ncsu.edu\/psi\/news\/toward-faster-nematode-test-results\/","title":{"rendered":"Toward Faster Nematode Test Results"},"content":{"rendered":"\n\n\n\n\n

UPDATED: Feb. 24, 2026<\/strong><\/p>\n\n\n\n

Plant-parasitic nematodes that feed on crops cause an estimated $80 billion to\u00a0$157 billion in damage around the world each year. Two North Carolina State University faculty members aim to help cut those losses in North Carolina by putting artificial intelligence to work to enable faster diagnosis of these pests.<\/p>\n\n\n\n

Plant-parasitic nematodes are tiny threadworms that live in soil and attack plant roots, leading to poor growth and plant death. To choose the right strategy to prevent or reduce losses they cause, farmers need to know which types are present in their fields and how many there are.<\/p>\n\n\n\n

That requires time-consuming testing by specialized laboratories, like the Nematode Assay Lab run by the N.C. Department of Agriculture and Consumer Services. Right now, it can take weeks for farmers to get results: According to the lab\u2019s website, typical turnaround time for assay analysis is two weeks in October and November and four to eight weeks in December, January and February.<\/p>\n\n\n\n

With the help of NC State nematode specialist Adrienne Gorny, artificial intelligence expert Edgar Lobaton is helping train computers to automatically identify the Southeast\u2019s Top 25 nematodes and count them in each sample.<\/p>\n\n\n\n

Leaders from the North Carolina Soybean Producers Association, the N.C. Sweetpotato Commission, the N.C. Cotton Producers Association, the N.C. Peanut Growers Association and the Tobacco Growers Association of North Carolina formed a coalition with N.C. Department of Agriculture and Consumer Services and NC Farm Bureau representatives to work with researchers in the N.C. PSI to address the challenge. They also provided funding.<\/p>\n\n\n\n

The project involves feeding thousands of annotated photographs into a state-of-the-art artificial intelligence model, said Lobaton, professor in the Department of Electrical and Computer Engineering and with the N.C. Plant Sciences Initiative.<\/p>\n\n\n\n

In February 2026, Lobaton reported that the research team had met a key milestone \u2013 annotating its first dataset \u2013 and was focused on implementing an automated pipeline that uses a robotic system to control microscopes and capture videos of the samples.<\/p>\n\n\n\n

“It also allows for processing of the images in real-time and eventually will incorporate our AI pipelines for real-time detection and counts of nematodes,” Lobaton said. “We have been working on a cyber-infrastructure for managing the data and the models that we will\u00a0train, and we have been collaborating with the North Carolina Agricultural Analytics Platform<\/a> from that end.”
<\/p>\n\n\n\n

It\u2019s best for farmers to get test results back quickly because they help them make important decisions about using fumigants or nematicides, which can get expensive.<\/p><\/div><\/blockquote>\n\n\n\n

The tool is designed to help technicians at the NCDA&CS Nematode Assay Lab, allowing them in more rapidly processing nematode samples, before growers begin making treatment decisions for their 2026 crops.<\/p>\n\n\n\n

\u201cIt\u2019s best for farmers to get test results back quickly because they help them make important decisions about using fumigants or nematicides, which can get expensive. You want growers to use them only when necessary, because nematicides can also be environmentally taxing,\u201d said Gorny, an assistant professor and NC State Extension specialist in the Department of Entomology and Plant Pathology.<\/p>\n\n\n\n

The tool will augment the work of diagnosticians who now visually examine samples sent in by farmers to identify and count nematodes in farmers\u2019 soil samples. \u201cThe problem is that it\u2019s labor-intensive and not easy. It takes a lot of training,\u201d Gorny said.<\/p>\n\n\n\n

Diagnosticians will still be needed to confirm test results, but with the aid of AI, they\u2019ll be able to deliver faster diagnoses so farmers can make faster and timely decisions to protect against losses in cotton, peanuts, tobacco, sweetpotatoes, soybeans and other important N.C. crops.<\/p>\n\n\n\n

\u201cThe best outcome will be getting this tool into the hands of those who can help \u2013 the diagnosticians \u2013 lightening their workload by making it faster, more efficient and less stressful,\u201d said Gorny. \u201cIn my mind, it\u2019s all about not wanting farmers to miss taking action in early spring.\u201d<\/p>\n","protected":false,"raw":"\n\n\n\n\n

UPDATED: Feb. 24, 2026<\/strong><\/p>\n\n\n\n

Plant-parasitic nematodes that feed on crops cause an estimated $80 billion to\u00a0$157 billion in damage around the world each year. Two North Carolina State University faculty members aim to help cut those losses in North Carolina by putting artificial intelligence to work to enable faster diagnosis of these pests.<\/p>\n\n\n\n

Plant-parasitic nematodes are tiny threadworms that live in soil and attack plant roots, leading to poor growth and plant death. To choose the right strategy to prevent or reduce losses they cause, farmers need to know which types are present in their fields and how many there are.<\/p>\n\n\n\n

That requires time-consuming testing by specialized laboratories, like the Nematode Assay Lab run by the N.C. Department of Agriculture and Consumer Services. Right now, it can take weeks for farmers to get results: According to the lab\u2019s website, typical turnaround time for assay analysis is two weeks in October and November and four to eight weeks in December, January and February.<\/p>\n\n\n\n

With the help of NC State nematode specialist Adrienne Gorny, artificial intelligence expert Edgar Lobaton is helping train computers to automatically identify the Southeast\u2019s Top 25 nematodes and count them in each sample.<\/p>\n\n\n\n

Leaders from the North Carolina Soybean Producers Association, the N.C. Sweetpotato Commission, the N.C. Cotton Producers Association, the N.C. Peanut Growers Association and the Tobacco Growers Association of North Carolina formed a coalition with N.C. Department of Agriculture and Consumer Services and NC Farm Bureau representatives to work with researchers in the N.C. PSI to address the challenge. They also provided funding.<\/p>\n\n\n\n

The project involves feeding thousands of annotated photographs into a state-of-the-art artificial intelligence model, said Lobaton, professor in the Department of Electrical and Computer Engineering and with the N.C. Plant Sciences Initiative.<\/p>\n\n\n\n

In February 2026, Lobaton reported that the research team had met a key milestone \u2013 annotating its first dataset \u2013 and was focused on implementing an automated pipeline that uses a robotic system to control microscopes and capture videos of the samples.<\/p>\n\n\n\n

\"It also allows for processing of the images in real-time and eventually will incorporate our AI pipelines for real-time detection and counts of nematodes,\" Lobaton said. \"We have been working on a cyber-infrastructure for managing the data and the models that we will\u00a0train, and we have been collaborating with the North Carolina Agricultural Analytics Platform<\/a> from that end.\"
<\/p>\n\n\n\n

It\u2019s best for farmers to get test results back quickly because they help them make important decisions about using fumigants or nematicides, which can get expensive.<\/p><\/div><\/blockquote>\n\n\n\n

The tool is designed to help technicians at the NCDA&CS Nematode Assay Lab, allowing them in more rapidly processing nematode samples, before growers begin making treatment decisions for their 2026 crops.<\/p>\n\n\n\n

\u201cIt\u2019s best for farmers to get test results back quickly because they help them make important decisions about using fumigants or nematicides, which can get expensive. You want growers to use them only when necessary, because nematicides can also be environmentally taxing,\u201d said Gorny, an assistant professor and NC State Extension specialist in the Department of Entomology and Plant Pathology.<\/p>\n\n\n\n

The tool will augment the work of diagnosticians who now visually examine samples sent in by farmers to identify and count nematodes in farmers\u2019 soil samples. \u201cThe problem is that it\u2019s labor-intensive and not easy. It takes a lot of training,\u201d Gorny said.<\/p>\n\n\n\n

Diagnosticians will still be needed to confirm test results, but with the aid of AI, they\u2019ll be able to deliver faster diagnoses so farmers can make faster and timely decisions to protect against losses in cotton, peanuts, tobacco, sweetpotatoes, soybeans and other important N.C. crops.<\/p>\n\n\n\n

\u201cThe best outcome will be getting this tool into the hands of those who can help \u2013 the diagnosticians \u2013 lightening their workload by making it faster, more efficient and less stressful,\u201d said Gorny. \u201cIn my mind, it\u2019s all about not wanting farmers to miss taking action in early spring.\u201d<\/p>\n"},"excerpt":{"rendered":"

UPDATED: Feb. 24, 2026 Plant-parasitic nematodes that feed on crops cause an estimated $80 billion to\u00a0$157 billion in damage around the world each year. Two North Carolina State University faculty…<\/p>\n","protected":false},"author":22,"featured_media":77447,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"source":"","ncst_custom_author":"","ncst_show_custom_author":false,"ncst_dynamicHeaderBlockName":"ncst\/default-post-header","ncst_dynamicHeaderData":"{\"caption\":\"Plant-parasitic nematodes, like the much-magnified root-knot nematode pictured, are too small to be seen by the naked eye, but they pose big problems for farmers. They can stunt plant growth and make plants more susceptible to disease, drought and nutrient deficiencies. Photo courtesy of Adrienne Gorny.\",\"showAuthor\":true,\"showDate\":true,\"showFeaturedVideo\":false,\"subtitle\":\"Two NC State University faculty members aim to help cut agricultural losses to nematodes in North Carolina by putting artificial intelligence to work for faster diagnosis.\"}","ncst_content_audit_freq":"","ncst_content_audit_date":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[116,108,110,177,114],"tags":[9],"_ncst_magazine_issue":[],"class_list":["post-77444","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-extension","category-faculty","category-nc-psi","category-newswire","category-research","tag-_from-newswire-collection-80"],"displayCategory":null,"acf":[],"_links":{"self":[{"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/posts\/77444","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/users\/22"}],"replies":[{"embeddable":true,"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/comments?post=77444"}],"version-history":[{"count":8,"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/posts\/77444\/revisions"}],"predecessor-version":[{"id":80926,"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/posts\/77444\/revisions\/80926"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/media\/77447"}],"wp:attachment":[{"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/media?parent=77444"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/categories?post=77444"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/tags?post=77444"},{"taxonomy":"_ncst_magazine_issue","embeddable":true,"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/_ncst_magazine_issue?post=77444"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}