Deep learning has emerged with big data technologies and IoT to create new opportunities for data intensive science in the multi-disciplinary agri-technologies domain. The deep learning can be applied in various precision farming towards crop management, including applications on yield prediction, disease detection, weed detection crop quality, and species recognition The filtering and classification makes the precision agriculture to benefit with deep learning technologies. By applying deep learning to sensor data, farm management systems are evolving into real time artificial intelligence enabled programs that provide rich recommendations and insights for farmer decision support and action.
Smart Farming is a modern system of doing agriculture and improving cultivation in a sustainable way. The smart IoT devices are connected together with innovative technologies to enhance the agriculture. The smart sensors deployment and the smart way of agriculture enhances the agriculture with less physical work from farmers and thereby productivity is increased. The smart technologies enrich the agriculture with less utilisation of water, less electricity usage and more optimisation with real time monitoring in humidity and temperature. In IoT based smart farming, the field monitoring is done with multiple sensors like humidity, temperature and soil moisture. There remains a lack of research and development in relation to Smart Sustainable Agriculture (SSA), accompanied by complex obstacles arising from the fragmentation of agricultural processes like the control and operation of IoT/AI machines, data sharing and management, interoperability and large amounts of data analysis and storage.
This special issues focuses high quality, Novel solutions and research for smart and deep learning based sustainable agriculture, ranging from IoT, WSN, efficient sensing, cloud/edge computing, smart actuators, etc
List of Topics but not limited:
Topics of interest include, but are not limited to, the following scope:
Provisional deadlines:
Submission deadline: May 15, 2021
Acceptance deadline: March 15, 2022
Guest Editors:
1. Dr.S.Vimal (Lead Guest Editor)
Department of Information Technology,
National Engineering College, K.R.Nagar, Kovilpatti,
Tamil Nadu, India
Email: [email protected],[email protected]
2. Dr.Danilo Pelusi
Faculty of Communication Sciences,
University of Teramo, Via Balzarini, 1, 64100
Teramo, Italy
Email: [email protected]
3. Dr. Shahid Mumtaz
Senior Researcher, Senior Member IEEE
ACM Distinguished Speaker
Editor in Chief - IET Journal of Quantum Communication
Instituto de Telecomunicaces, Aveiro, Portugal
Email: [email protected]
4. Dr. A. Suresh
Nehru Institute of Engineering and Technology,
Coimbatore,
Tamilnadu,
India
Email: [email protected]
5. Dr.Smail Niar,
Professeur, LAMIH UMR CNRS
Université Polytechnique Hauts-de-France
Campus Mont Houy - LAMIH JONAS
59313 Valenciennes Cedex 9, France
Email: [email protected]
6. Dr.Mazen A. R. Saghir
Associate Professor of Electrical and Computer Engineering
Department of Electrical and Computer Engineering
American University of Beirut
Beirut
Email: [email protected]