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Development of a Variable Rate Chemical Sprayer for Monitoring Diseases and Pests Infestation in Coconut Plantations

Author

Listed:
  • Grianggai Samseemoung

    (Department of Agricultural Engineering, Rajamangala University of Technology Thanyaburi, Pathumthani 12110, Thailand)

  • Peeyush Soni

    (Department of Food, Agriculture and Bioresources, Asian Institute of Technology (AIT), Pathumthani 12120, Thailand)

  • Pimsiri Suwan

    (Department of Agricultural Engineering, Rajamangala University of Technology Thanyaburi, Pathumthani 12110, Thailand)

Abstract

An image processing-based variable rate chemical sprayer for disease and pest-infested coconut plantations was designed and evaluated. The manual application of chemicals is considered risky and hazardous to workers, and provides low precision. The designed sprayer consisted of a sprayer frame, motors, a power system, a chemical tank and pump, a crane, a nozzle with a remote monitoring system, and motion and crane controlling systems. As the target was confirmed, the nozzle was moved towards the target area (tree canopy) using the remote monitoring system. The pump then sprayed chemicals to the target at a specified rate. The results suggested optimal design values for 5–9 m tall coconut trees, including the distance between nozzle and target (1 m), pressure (1.5 bar), spraying rate (2.712 L/min), the highest movement speed (1.5 km/h), fuel consumption (0.58 L/h), and working capacity (0.056 ha/h). The sprayer reduced labor requirements, prevented chemical hazards to workers, and increased coconut pest controlling efficiency.

Suggested Citation

  • Grianggai Samseemoung & Peeyush Soni & Pimsiri Suwan, 2017. "Development of a Variable Rate Chemical Sprayer for Monitoring Diseases and Pests Infestation in Coconut Plantations," Agriculture, MDPI, vol. 7(10), pages 1-13, October.
    • Handle: RePEc:gam:jagris:v:7:y:2017:i:10:p:89-:d:115973
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    References listed on IDEAS

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    1. Grianggai Samseemoung & Peeyush Soni & Chaiyan Sirikul, 2017. "Monitoring and Precision Spraying for Orchid Plantation with Wireless WebCAMs," Agriculture, MDPI, vol. 7(10), pages 1-14, October.
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    Cited by:

    1. Beata Cieniawska & Katarzyna Pentos, 2021. "Average Degree of Coverage and Coverage Unevenness Coefficient as Parameters for Spraying Quality Assessment," Agriculture, MDPI, vol. 11(2), pages 1-14, February.
    2. Chaiyan Sirikun & Grianggai Samseemoung & Peeyush Soni & Jaturong Langkapin & Jakkree Srinonchat, 2021. "A Grain Yield Sensor for Yield Mapping with Local Rice Combine Harvester," Agriculture, MDPI, vol. 11(9), pages 1-17, September.

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