Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Artificial Intelligence of Things Enabled Fungiculture in Shipping Container

Lookup NU author(s): Boon Wee, Professor Cheng ChinORCiD, Dr Anurag SharmaORCiD

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

Abstract

This paper presents an automated environmental monitoring and control system for mushroom vertical farming in a refurbished shipping container. We describe the architecture of our NVIDIA Jetson Nano-based system and present the outcome of our successful attempts at cultivating Oyster mushrooms. The most important environmental parameters for healthy Oyster mushroom growth are temperature and humidity. We discuss the issues and challenges faced in this work and suggest ways to improve the current system in order to cultivate high-value mushrooms.

Publication metadata

Author(s): Wee BS, Chin CS, Sharma A

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 24th IEEE/ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

Year of Conference: 2022

Pages: 1-5

Print publication date: 08/11/2022

Online publication date: 06/03/2023

Acceptance date: 08/11/2022

ISSN: 2693-8421

Publisher: IEEE

URL: https://doi.org/10.1109/SNPD54884.2022.10051780

DOI: 10.1109/SNPD54884.2022.10051780

Library holdings: Search Newcastle University Library for this item

ISBN: 9798350310412

Share