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Smart city article details

Title	Agriculture Based On Internet Of Things And Deep Learning
ID_Doc	6880
Authors	Abdulla M.; Marhoon A.
Year	2022
Published	Iraqi Journal for Electrical and Electronic Engineering, 18, 2
DOI	http://dx.doi.org/10.37917/ijeee.18.2.1
Abstract	In smart cities, health care, industrial production, and many other fields, the Internet of Things (IoT) have had significant success. Protected agriculture has numerous IoT applications, a highly effective style of modern agriculture development that uses artificial ways to manipulate climatic parameters such as temperature to create ideal circumstances for the growth of animals and plants. Convolutional Neural Networks (CNNs) is a deep learning approach that has made significant progress in image processing. From 2016 to the present, various applications for the automatic diagnosis of agricultural diseases, identifying plant pests, predicting the number of crops, etc., have been developed. This paper involves a presentation of the Internet of Things system in agriculture and its deep learning applications. It summarizes the most essential sensors used and methods of communication between them, in addition to the most important deep learning algorithms devoted to intelligent agriculture. © 2022 The Authors. Published by Iraqi Journal for Electrical and Electronic Engineering by College of Engineering, University of Basrah.
Author Keywords	Agriculture; CNN; Deep Learning; IoT

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