UAV-based early weed detection and precision spot spraying for pineapple fields

Technology
Conceptual
University

Drone-mounted RGB and multiband imaging system to detect early weed growth in densely planted pineapple canopies, enabling GPS-guided spot aerial spraying. Developed with Dole Food Hawaii, the approach addresses Guinea grass and Morning Glory, two of the most damaging weeds in Hawaiian pineapple production.

Overview

Densely planted pineapple fields (60,000-70,000 plants per hectare) present unique weed control challenges, particularly once the canopy reaches 75-100 cm in height. Early detection of weeds such as Guinea grass and Morning Glory is critical to implementing timely control. This solution uses unmanned aerial vehicles (UAVs) equipped with RGB and multiband cameras to detect early weed growth and integrate that capability into a precision agriculture service for pineapple growers. GPS-based localization of detected weeds enables targeted spot aerial spraying at all stages of crop development.

Technical specifications
  • UAV-based imaging platform using RGB and multiband cameras to capture aerial imagery over pineapple fields
  • Spectral reflectance analysis leverages the unique spectral signatures of Guinea grass and Morning Glory to distinguish weeds from pineapple plants
  • Image processing software trained to identify small targets within a dense canopy, building on prior work that successfully detected pineapple flowers less than 3 cm across by recognizing leaf reflexing and red center development
  • GPS localization of weed patches to enable programmed, targeted spot aerial spraying rather than broadcast application
  • Flexible flight scheduling designed for two to four-week interval monitoring, aligned with crop growth stages
  • Ground-truth validation through visual field monitoring to confirm the earliest stages at which weeds can be reliably identified
Technology readiness level

This technology is at an early-to-mid validation stage. Preliminary UAV work has demonstrated the ability to identify small-scale features (such as early pineapple flowering) within the canopy and to develop software that counts flowering plants from RGB images. The next phase, conducted in partnership with Dole Food Hawaii, will validate weed detection timing by postponing manual weed control in a selected field block and flying UAVs at two to four-week intervals while monitoring weed emergence from the ground. Dole Hawaii's year-round planting schedule provides fields at all stages of crop development for testing. Current readiness supports pilot-scale field validation rather than immediate commercial deployment.


About University of Hawaiʻi at Mānoa

The University of Hawaiʻi at Mānoa is the state’s flagship public research university, combining a comprehensive academic portfolio with a strong applied research culture. Industry engages through coastal and island field stations, engineering and test facilities, and an integrated medical school that partners with hospitals across Hawaiʻi to enable clinical translation. A dedicated research corporation and experienced sponsored programs staff streamline contracting, compliance, and rapid onboarding for complex, multi‑partner projects. Proximity to major Pacific defense commands, maritime ports, and trans‑Pacific air routes provides geographic advantages for prototyping and deployment. Research is supported by competitive federal funding from NSF, NIH, NOAA, NASA, and the Department of Defense, and a technology transfer office advances IP, licensing, and startup formation.

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