University of Bahrain
Scientific Journals

Automatic Learning in Agriculture:A Survey

Show simple item record AlKameli, A Hammad, M 2021-08-17T19:49:15Z 2021-08-17T19:49:15Z 2021-08-17
dc.identifier.issn 2210-142X
dc.description.abstract Agriculture plays a pivotal role in the growth of any nation. Nowadays, with the advancements of information technologies, big data are generated and executed using faster computing techniques. machine learning techniques have been used to automate and improve agricultural activities for a long time. This paper presents a review of existing applications of machine learning in agriculture with a focus on the applications of Deep Reinforcement Learning techniques in agriculture. The conventional solutions for agricultural machine learning decision-making problems are using supervised approaches. In supervised learning, the machine needs to be trained on samples of inputs and outputs to support decision making. While, in reinforcement learning, sequential decision making happens and the next input depends on the decision of the machine. In this paper, we perform a survey of 49 publications of which 10 were secondary research e orts that discussed a variety of machine learning approaches applications in agriculture and 39 research e orts that used machine learning approaches to support the automation of agricultural activities. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri *
dc.subject Smart Agriculture en_US
dc.subject Reinforcement Learning en_US
dc.subject Deep Learning en_US
dc.subject Machine Learning en_US
dc.title Automatic Learning in Agriculture:A Survey en_US
dc.contributor.authorcountry Bahrain en_US
dc.contributor.authorcountry Bahrain en_US
dc.contributor.authoraffiliation Department of Computer Science, University of Bahrain en_US
dc.contributor.authoraffiliation Department of Computer Science, University of Bahrain en_US
dc.source.title International Journal Of Computing and Digital System en_US
dc.abbreviatedsourcetitle IJCDS en_US

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