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...

詳細記述

書誌詳細

出版年:	Future Internet
主要な著者:	Arturs Kempelis, Inese Polaka, Andrejs Romanovs, Antons Patlins
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-01-01
主題:	deep learning computer vision Internet of Things sensor networks urban agriculture convolutional neural networks
オンライン･アクセス:	https://www.mdpi.com/1999-5903/16/2/44