2022
Low-cost Multimodal Sensor Arrays for Early Detection of Soybean Diseases
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
Crop protectionDiseaseField management
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Liang Dong, Iowa State University
Co-Principal Investigators:
Project Code:
GR-024750-00002
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

The research aims to develop a diagnostic device for economical, rapid testing of soybean pathogens to detect diseases at an early stage to reduce their spread and minimize damage. The technology will monitor soybeans during the growing season to support management decisions to protect yield potential. Also, researchers will use the technology to better understand pathogenic stress in soybean at different stages and under diverse conditions. The project is to develop sensors for low-cost monitoring of several key fungal, viral and bacterial diseases. The goal is early detection of diseases at a stage when there are often no symptoms, to reduce the risk of disease spreading.

Key Benefactors:
farmers, agronomists, Extension agents

Information And Results
Project Deliverables

We will deliver an array of non-invasive or minimally invasive electrochemical sensing elements specific to multiple critical biomarkers in the plant. The sensor will be designed, manufactured, and tested towards high detection specificity and sensitivity with low cost.

Final Project Results

Updated October 14, 2024:
We developed a series of wearable plant sensors designed to monitor critical indicators of plant health directly in the field. These include a reactive oxygen species sensor that uses microneedles coated with a biohydrogel to measure hydrogen peroxide, a key marker of plant stress, in soybean plants. This sensor delivers rapid results within 1-3 minutes and provides an easy, low-cost way to track plant responses to stress. Additionally, we developed a virus detection sensor for the bean pod mottle virus (BPMV) in soybean plants, utilizing a specialized material that selectively binds to virus particles, delivering results in under 2 minutes. This sensor surpasses traditional lab tests in speed and convenience, enabling real-time virus monitoring in the field. Finally, we created a pesticide uptake sensor that measures how much dicamba herbicide is absorbed by soybean plants. Using microneedles designed to bind dicamba molecules, the sensor provides real-time insights into herbicide uptake, helping optimize pesticide use for more sustainable agricultural practices. Together, these sensors offer portable, fast, and efficient tools for tracking plant health, enabling better stress management and integrated pest control strategies for soybeans.

This research led to the development of novel wearable sensors that enable real-time, in-situ monitoring of reactive oxygen species, plant viruses, and pesticide uptake. The new knowledge gained from this work includes the discovery of how bioelectrodes, microneedles, and molecularly imprinted polymers can be combined to create highly sensitive and selective sensors capable of detecting chemical and biological changes within plants. This research also demonstrates the ability to monitor plant responses under biotic stress, virus infection, and herbicide absorption, providing insights into plant physiology beyond traditional measurements. The practical applications of this research include the ability for farmers and agricultural industries to use these wearable sensors for on-site, rapid, and cost-effective monitoring of plant health. The sensors can be applied directly in the field, reducing the need for complex, time-consuming, and expensive lab-based methods like liquid chromatography, polymerase chain reaction, or histological staining. By providing real-time data, the sensors empower more informed decision-making for pest management, stress monitoring, and herbicide application. This new knowledge and technology have the potential to significantly impact the agricultural industry and farmers by improving crop management, reducing chemical inputs, and promoting more sustainable farming practices.

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.