UAS (Unmanned Aerial System)-guided releases of predatory mites for management of spider mites in strawberry

Project Overview

SW17-060
Project Type: Research and Education
Funds awarded in 2017: $249,878.00
Projected End Date: 03/31/2020
Grant Recipient: University of California Davis
Region: Western
State: California
Principal Investigator:
Dr. Elvira de Lange
University of California Davis

Commodities

  • Fruits: berries (strawberries)

Practices

  • Education and Training: decision support system, extension, on-farm/ranch research
  • Pest Management: biological control, field monitoring/scouting, integrated pest management

    Proposal abstract:

    Farmers are requesting in-depth testing of how UAS (Unmanned Aerial Systems) can be
    integrated successfully into strawberry production to improve management practices. California
    produces 88% of US strawberries, with an annual value of approximately $2.6 billion, and the
    California Strawberry Commission identifies spider mite management a key research priority.
    Little is known about the spatio-temporal dynamics of spider mites in strawberry, and
    consequently, about the optimal timing to release predatory mites, their natural enemies. With
    this study, a collaboration between scientists, extension experts, and commercial growers, we
    will demonstrate that airborne remote sensing can be used to detect spider mite hotspots and
    therefore pinpoint when and where predatory mite releases are needed. The three-year project
    will lead to the following outcomes: 1) demonstrate relationships between spider mite presence
    and abiotic stress, important indicators of outbreak risks; 2) a spatially optimized, reliable and
    practically feasible manual sampling plan for spider mites in strawberry fields; 3) hyperspectral
    airborne remote sensing-based characterization of spider mite hotspots to spatially optimize
    releases of natural enemies. Deployment of novel, labor-extensive, and precise airborne remote
    sensing technologies to monitor crop health and mitigate pest risks is highly compatible with
    existing management practices. Educational outreach involves hands-on workshops and lectures
    on spider mite sampling at grower and ag professional meetings throughout the California
    strawberry growing region. Growers outside this area will be reached through publications in
    trade journals and other grower media. Also, we will organize a panel discussion on the potential
    of UAS in strawberry management and beyond. Both the educational outreach and research
    outcomes are easily transferable to strawberry growing regions elsewhere, and could be
    expanded to include monitoring for other pests and pathogens. This project will enhance efficacy
    of biocontrol agents and reduce dependence on miticides, enhancing sustainability of spider mite
    management practices in strawberry.

    Project objectives from proposal:

    Objective 1: Experimental characterization of the relationship between: 1) leaf micro- and
    macro-element composition and leaf reflectance, and 2) spider mite-induced stress and leaf
    reflectance in project years 1 (May – July 2017) and 2 (May – July 2018). Quantifiable outcome:
    A research article describing a model of the factorial relationships between leaf micro- and
    macro-element composition, leaf reflectance, and spider mite-induced stress. This objective will
    start in May 2017 and will be completed in May 2019.
    Objective 2: Characterization of the spatio-temporal distribution of spider mites and their natural
    enemies in project years 1 (May – July 2017), 2 (May – July 2018), and 3 (May – June 2019).
    Quantifiable outcomes: 1) spatio-temporal data sets from 120 combinations of commercial
    strawberry field, sampling event, and growing season, 2) a research article describing a spatially
    optimized sampling plan for spider mites in strawberry fields. This objective will start in May
    2017 and will be completed in April 2020.
    Objective 3: Hyperspectral airborne remote sensing-based characterization of hotspots with
    emerging spider mite outbreaks in project years 1 (May – July 2017), 2 (May – July 2018), and 3
    (May – June 2019). Quantifiable outcomes: 1) hyperspectral airborne remote sensing data sets
    from 120 combinations of commercial strawberry field, sampling event, and growing season, 2)
    a research article describing the use of hyperspectral airborne remote sensing to spatially
    optimize releases of natural enemies to control spider mite outbreaks in strawberry fields. This
    objective will start in May 2017 and will be completed in April 2020.
    Objective 4: Participatory (hands-on) educational outreach on how to improve spider mite
    sampling and interpretation of sampling data in project years 2 and 3. Quantifiable outcomes: 1)
    dissemination of project results on spider mite sampling to a minimum of 300 growers, 2)
    publication of project results on spider mite sampling on the UC IPM website (2). This objective
    will start in May 2018 and will be completed in April 2020.
    Objective 5: Panel discussion on the potential of UAS in strawberry management and beyond in
    project year 3. Quantifiable outcomes: 1) we will organize a panel discussion with ca. 15
    growers and ag professionals, 2) main discussion points from panel discussions will be
    summarized in a white paper to be presented to the California Strawberry Commission and other
    stakeholder organizations. This objective will start in October 2019 and will be completed in
    April 2020.

    Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the U.S. Department of Agriculture or SARE.