Computer Vision and Machine Learning-Based Predictive Analysis for Urban Agricultural Systems

Computer Vision and Machine Learning-Based Predictive Analysis for Urban Agricultural Systems

Urban agriculture presents unique challenges, particularly in the context of microclimate monitoring, which is increasingly important in food production. This paper explores the application of convolutional neural networks (CNNs) to forecast key sensor measurements from thermal images within this co...

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Bibliographic Details
Main Authors: Arturs Kempelis, Inese Polaka, Andrejs Romanovs, Antons Patlins
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Future Internet
Subjects:
deep learning
computer vision
Internet of Things
sensor networks
urban agriculture
convolutional neural networks
Online Access:https://www.mdpi.com/1999-5903/16/2/44

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https://www.mdpi.com/1999-5903/16/2/44

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