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Article

Development of a Low-Cost Distributed Computing Pipeline for High-Throughput Cotton Phenotyping.

Sensors (Basel, Switzerland) - 2 Feb 2024

Thesma Vaishnavi, Rains Glen C, Mohammadpour Velni Javad

Abstract excerpt

In this paper, we present the development of a low-cost distributed computing pipeline for cotton plant phenotyping using Raspberry Pi, Hadoop, and deep learning. Specifically, we use a cluster of several Raspberry Pis in a primary-replica distributed architecture using the Apache Hadoop ecosystem and a pre-trained Tiny-YOLOv4 model for cotton bloom detection from our past work. We feed cotton image data...

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Identifiers

PMID: 38339687
DOI: 10.3390/s24030970
PMCID: PMC10857260

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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