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

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

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 a...

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Bibliographic Details
Main Authors: Vaishnavi Thesma, Glen C. Rains, Javad Mohammadpour Velni
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
big data
distributed computing
cotton phenotyping
computer vision
Online Access:https://www.mdpi.com/1424-8220/24/3/970

Internet

https://www.mdpi.com/1424-8220/24/3/970

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