Author

Edward Idun Amoah

Pennsylvania State UniversityORCID 0009-0003-3512-9584Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Animal Behavior & Cognition· 1 Bioinformatics· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Assay:imaging· 3 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Christina M. GrozingeriD· 2 shared Binti Ibrahan Mwambumba· 1 shared Brian Kipchirchir Meli· 1 shared Catherine Njeri Wangiru· 1 shared Chelsea Akuleut· 1 shared Christabel Akinyi Oyudi· 1 shared David Peter HughesiD· 1 shared Edna Santa Kibwamga· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersAnimal Behavior & Cognition

Christina M. GrozingerORCID

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3 papers

Recent·Most cited

Animal Behavior & CognitionbioRxivPreprintJul 17, 2026

BeeMonitor: Automated IoT video surveillance and an AI-powered video processing system for monitoring the foraging and nesting behavior of cavity-nesting solitary bees

Edward Idun Amoah, Santosh Sanjel, Natalie K. Boyle, Christina M. Grozinger

BeeMonitor uses computer vision to automatically track solitary bees' foraging and nesting behavior, showing strong performance in detecting nest events and correlating foraging with environmental factors.

DOI 10.64898/2026.07.10.737879

imagingmachine learning (classical)

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJul 12, 2026

EcoMorph: Universal morphological trait quantification from natural language prompts for ecological research

Edward Idun Amoah, Zachary L. T. Bunch, Hannah M. Thomas…·Christina M. Grozinger

EcoMorph quantifies morphological traits from images using natural language prompts, achieving high accuracy across diverse ecological contexts and taxa.

DOI 10.64898/2026.07.10.737871

imagingexperimental assay

𝕏 PostBluesky

EcologybioRxivPreprintNov 29, 2023

A low-cost, AI-powered Measurement Verification and Reporting System for growing trees with smallholder farmers

Edward Idun Amoah, Peter McCloskey, Rimnoma S. Ouedraogo…·David Peter Hughes

This paper develops an AI-powered tool for non-contact tree diameter measurement using smartphone images, achieving high accuracy for smallholder farmers' tree growth monitoring.

2 citations

imagingdeep learning

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