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Phone App to Perform Quality Control of Pesticide Spray Applications in Field Crops

Author

Listed:
  • Christian Nansen

    (Department of Entomology and Nematology, University of California, Davis, CA 95616, USA)

  • Gabriel Del Villar

    (Department of Computer Science, University of California, Davis, CA 95616, USA)

  • Alexander Recalde

    (Department of Computer Science, University of California, Davis, CA 95616, USA)

  • Elvis Alvarado

    (Department of Computer Science, University of California, Davis, CA 95616, USA)

  • Krishna Chennapragada

    (Department of Computer Science, University of California, Davis, CA 95616, USA)

Abstract

It has been recognized for decades that low and inconsistent spray coverages of pesticide applications represent a major challenge to successful and sustainable crop protection. Deployment of water-sensitive spray cards combined with image analysis can provide valuable and quantitative insight into spray coverage. Herein we provide description of a novel and freely available smartphone app, “Smart Spray”, for both iOS and Android smart devices (iOS and Google app stores). More specifically, we provide a theoretical description of spray coverage, and we describe how Smart Spray and similar image-processing software packages can be used as decision support tools and quality control for pesticide spray applications. Performance assessment of the underlying pixel classification algorithm is presented, and we detail practical recommendations on how to use Smart Spray to maximize accuracy and consistency of spray coverage predictions. Smart Spray was developed as part of ongoing efforts to: (1) maximize the performance of pesticide sprays, (2) minimize pest-induced yield loss and to potentially reduce the amount of pesticide used, (2) reduce the risk of target pests developing pesticide resistance, (3) reduce the risk of spray drift, and (4) optimize spray application costs by introducing a quality control.

Suggested Citation

  • Christian Nansen & Gabriel Del Villar & Alexander Recalde & Elvis Alvarado & Krishna Chennapragada, 2021. "Phone App to Perform Quality Control of Pesticide Spray Applications in Field Crops," Agriculture, MDPI, vol. 11(10), pages 1-12, September.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:10:p:916-:d:642468
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    Cited by:

    1. Purushottam Gyawali & Heather Kim & Delaney Ruth Vance & Haleh Khodaverdi & Anil Mantri & Christian Nansen, 2023. "Can Insects Assess Environmental Risk? Movement Responses and Nymph Emergence in Response to Insecticides," Agriculture, MDPI, vol. 13(3), pages 1-13, March.

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