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Pest and Disease Management

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Advanced Automation for Tree Fruit Orchards and Vineyards

Part of the book series: Agriculture Automation and Control ((AGAUCO))

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Abstract

This chapter describes the current sensing and actuation technologies for pests and plant diseases in orchards and vineyards. The technologies for pests include machine vision and imaging, trapping, data mining, nuclear magnetic resonance (NMR), DNA analysis, landscape and soil management, vibrational signals, precision spraying, and bird control. Some new technologies for pests were developed, such as predicting future infestation using artificial intelligence and pest identification using smartphone apps; however, more efforts will still be needed. The technologies utilized in plant disease detection and management include computer vision, thermography, spectroscopy, chlorophyll fluorescence, multi- and hyperspectral imaging, plant volatile organic compounds, biosensors, sensing platforms and robots, and artificial intelligence. Overall, new, reliable, easy-to-use, and objective methods will still be needed, along with continued support and interest from growers and industries.

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Authors and Affiliations

  1. Dept. of Agricultural and Biological Engineering, University of Florida, Gainesville, FL, USA

    Won Suk Lee

  2. Televitis Research Group, University of La Rioja, Logroño, Spain

    Javier Tardaguila

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  1. Won Suk Lee
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  2. Javier Tardaguila
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Correspondence to Won Suk Lee .

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  1. Department of Biological and Agricultural Engineering, University of California, Davis, Davis, CA, USA

    Stavros G. Vougioukas

  2. Center for Precision and Automated Agricultural Systems, Washington State University, Prosser, WA, USA

    Qin Zhang

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Lee, W.S., Tardaguila, J. (2023). Pest and Disease Management. In: Vougioukas, S.G., Zhang, Q. (eds) Advanced Automation for Tree Fruit Orchards and Vineyards. Agriculture Automation and Control. Springer, Cham. https://doi.org/10.1007/978-3-031-26941-7_5

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