Research on the Method of Tea Disease Recognition Based on Deep Learning
In this paper, the lightweight deep convolution neural network MobileNetV2 is used to classify tea diseases. The knowledge acquired from the MobileNetV2 model on the PlantVillage plant leaf disease data set is transferred to the task of tea disease identi
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Kazumi Nakamatsu · Roumen Kountchev · Ari Aharari · Nashwa El-Bendary · Bin Hu Editors
New Developments of IT, IoT and ICT Applied to Agriculture Proceedings of ICAIT 2019
123
Smart Innovation, Systems and Technologies Volume 183
Series Editors Robert J. Howlett, Bournemouth University and KES International, Shoreham-by-sea, UK Lakhmi C. Jain, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology Sydney, Sydney, NSW, Australia
The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. Volumes on interdisciplinary research combining two or more of these areas is particularly sought. The series covers systems and paradigms that employ knowledge and intelligence in a broad sense. Its scope is systems having embedded knowledge and intelligence, which may be applied to the solution of world problems in industry, the environment and the community. It also focusses on the knowledge-transfer methodologies and innovation strategies employed to make this happen effectively. The combination of intelligent systems tools and a broad range of applications introduces a need for a synergy of disciplines from science, technology, business and the humanities. The series will include conference proceedings, edited collections, monographs, handbooks, reference books, and other relevant types of book in areas of science and technology where smart systems and technologies can offer innovative solutions. High quality content is an essential feature for all book proposals accepted for the series. It is expected that editors of all accepted volumes will ensure that contributions are subjected to an appropriate level of reviewing process and adhere to KES quality principles. ** Indexing: The books of this series are submitted to ISI Proceedings, EI-Compendex, SCOPUS, Google Scholar and Springerlink **
More information about this series at http://www.springer.com/series/8767
Kazumi Nakamatsu Roumen Kountchev Ari Aharari Nashwa El-Bendary Bin Hu •
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Editors
New Developments of IT, IoT and ICT Applied to Agriculture Proceedings of ICAIT 2019
123
Editors Kazumi Nakamatsu School of HSE University of Hyogo Himeji, Hyogo, Japan Ari Aharari Faculty of Computer and Information Sciences Sojo University Nishi-ku, Kumamoto, Japan Bin Hu China Mobile Communications Corporation Xiangtan, Hunan, China
Roumen Kountchev Department of Radiocommunications and Video Technologies Technical University of Sofia Sofia, Bulgaria Nashwa El-Bendary China-Arab States Technology Transfer Center Arab Academy for Science, Technology, and Maritime Transport (AASTMT) Gîza, Egypt
ISSN 2190-3018 ISSN 2190-3026 (electronic) Smart Innovation, Systems and Technologies ISBN 978-981-15-5072-0
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