Deployment of the Pseudorandom Encoded light for Evaluating Biomass (PEEB) sensor in an Integrated Multi-Trophic Aquaculture (IMTA) system

Will Fairman; Paul S. Wills; Dennis Hanisak; Arshadul Karim; Shagundeep Singh; Bing Ouyang

doi:10.1117/12.2664101

18 July 2023 Deployment of the Pseudorandom Encoded light for Evaluating Biomass (PEEB) sensor in an Integrated Multi-Trophic Aquaculture (IMTA) system

Will Fairman, Paul S. Wills, Dennis Hanisak, Arshadul Karim, Shagundeep Singh, Bing Ouyang

Author Affiliations +

Proceedings Volume 12522, Big Data V: Learning, Analytics, and Applications ; 1252204 (2023) https://doi.org/10.1117/12.2664101
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

For the last decade, Harbor Branch Oceanographic Institute at Florida Atlantic University (HBOI) has been developing Integrated Multi-Trophic Aquaculture (IMTA), where multiple species are farmed together. Compared with the traditional Recirculating Aquaculture Systems (RAS), the IMTA system can improve efficiency, reduce waste, and provide ecosystem services. For the IMTA system to be successful at a commercial farm scale, HBOI is developing an AI-centric Internet of Things framework to support the operations of the IMTA system. The Pseudorandom Encoded Light for Evaluating Biomass (PEEB) sensor is an endeavor in this effort to realize automated monitoring of the growth of the Sea Lettuce (Ulva lactuca), an important organism in the HBOI IMTA system. PEEB utilizes the measurements from a sequence of encoded light flashes to quantify the seaweed biomass. Such a configuration ensures the sensor can operate under different ambient light conditions and biomass densities. An improved PEEB sensor based on a unified electronic sensor design that is more robust against ambient conditions and capable of long-range data transmission is discussed. This electronic design will be the backbone to support future sensors for the IMTA system. Multiple PEEB sensors have been deployed at the HBOI IMTA system. The cloud-based storage and analysis of the sensor data are discussed.

Conference Presentation

Citation Download Citation

Will Fairman, Paul S. Wills, Dennis Hanisak, Arshadul Karim, Shagundeep Singh, and Bing Ouyang "Deployment of the Pseudorandom Encoded light for Evaluating Biomass (PEEB) sensor in an Integrated Multi-Trophic Aquaculture (IMTA) system", Proc. SPIE 12522, Big Data V: Learning, Analytics, and Applications , 1252204 (18 July 2023); https://doi.org/10.1117/12.2664101

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