Pond Algae & Aquatic Plant ID Assistant

Pond Algae & Aquatic Plant ID Assistant is an interactive decision-support tool developed by Clemson University to help pond owners in South Carolina and surrounding regions better understand algae or plant growth in their ponds. The tool relies on user observations and visual comparisons to narrow down likely plant species and guides users toward appropriate next steps, including reviewing additional online resources, contacting Extension, and/or submitting a sample for laboratory confirmation of the plant ID.

The Pond Algae & Aquatic Plant ID Assistant is a tool to guide pond owners in the Southeastern U.S. to narrow down likely matches for algae or aquatic plant growth, understand management options, and prepare for expert support when needed.

• Stage 1: Screening questions about appearance, water conditions, and other features (optional photo upload).
• Stage 2: Challenge images where you rate similarity to your plant to produce a ranked list of the top 6 matches.

• Receive a reference code and generate a PDF summary report.
• Review management options based on your preliminary plant identification.
• Access additional online resources (e.g., articles, fact sheets) that may be helpful.
• Use Next Steps to contact Extension or prepare a lab submission with the required background details.
• If there are health concerns, fish kills, or animal exposure, or if additional help is needed, proceed to Next Steps for expert assistance.

The Pond Algae & Aquatic Plant ID Assistant is a guided identification tool designed to help pond owners recognize and differentiate harmful algal blooms (HABs) and common aquatic plants found in ponds across the Southeastern United States. The tool was developed by Clemson University to support early awareness, improve communication with Extension professionals, and streamline the identification process when expert assistance is needed.

The identification process is structured in two stages and is designed to be approachable even if you are unsure of some details:

1. Observation-Based Screening
   Users begin by answering a series of questions about what they are seeing in their pond — including appearance, water conditions, odors, and other signs such as dead fish or animal exposure. An optional photo upload is available at this stage; while not required, photos can be extremely helpful if the issue is later reviewed by Extension agents or laboratory staff.
   
   Based on these responses, the tool calculates a preliminary score and identifies the six most likely candidate species that may match the observed material.
2. Visual Confirmation Using Challenge Images
   Next, users are shown a sequence of challenge images representing typical appearances of each of the six possible matches. For each image set, users rate how visually similar their pond material is to what they see. These ratings are combined with the earlier responses to produce a final ranked list of the six most likely matches.
   
   Each result includes descriptive information, potential impacts, and notes on what to watch for — helping users better understand whether a match seems reasonable.

After completing the identification stage, users are provided with a unique reference code. This code allows users to:

• Generate a PDF summary report of their responses and results
• Proceed directly to Next Steps for expert assistance
• Ensure that Extension agents or laboratory staff can quickly access relevant background information

If users choose to proceed, the Next Steps section gathers additional context that is often critical for accurate identification, including:

• Pond location (optional but strongly encouraged)
• Pond size, use, recent conditions, surroundings, and management history
• Three optional but recommended photos:
  • A whole-pond view
  • A close-up in the water
  • A close-up out of the water on a plain background

From there, users may choose to:

• Contact Clemson Cooperative Extension, where an email draft is generated and routed to the appropriate county office, or
• Submit a sample to the Clemson University Plant & Pest Diagnostic Clinic, with required form information automatically generated and clear submission instructions provided.

All responses are securely associated with the user’s reference code so that Extension agents and laboratory staff can more efficiently review the situation and provide accurate guidance.

This tool is intended to support education and communication, not to replace laboratory confirmation or professional diagnosis. When health concerns, fish kills, or animal exposure are present, users are strongly encouraged to proceed to Next Steps for expert assistance.