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Machine Learning and Sensors Technology in Agriculture
This special issue belongs to the section “Smart Agriculture“.
Special Issue Information
Dear Colleagues,
You are invited to submit a manuscript to this special issue of Sensors. This issue will consider cutting-edge research on the development and applications of machine learning on agricultural data obtained by sensors. Recently, we have seen a growing interest in the use of machine learning which offers new opportunities for classification, prediction, and analysis of agricultural and environmental spatial-temporal and other data obtained by in situ and remote sensors.
This Special Issue therefore aims to put together original research and survey articles from academia and industry on recent advances, technologies, solutions, applications, and new challenges in the field of using machine learning on agricultural and environmental data obtained by sensors.
Dr. Krista Zalik
Dr. Štefan Kohek
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- machine learning
- artificial neural networks
- convolutional neural networks
- recurrent neural networks
- advanced deep learning models and techniques, such as deep neural networks, deep belief networks, and recurrent neural networks (GAN, DNN, RNN), and Long Short-Term Memory (LSTM)
- deep-learning-based 3D/Multiview sensing, imaging, and video processing
- sensor networks
- multi sensor
- data fusion
- data mining
- decision support systems
- deep-learning-based visual object detection, tracking, and understanding
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