A Special Issue on: Internet of Things (IoT) and Autonomous Unmanned Aerial Vehicle (AUAV) Technologies for Smart Agriculture Research and Practice
Introduction
Industry 5.0 and Agriculture 5.0 demand the IoT based sensors and Unmanned Aerial Vehicles (UAV) for agricultural farming and related applications. The Agriculture 5.0 uses IoT UAV for spraying pesticides, spraying fertilizers, monitoring health of the plants, harvesting the fruits, etc. without human intervention and thus the hazardous effect on human is avoided. Similarly, the IoT based sensors are important for precision agriculture, soil moisture measurement, soil quality measurement, etc. Agriculture 5.0 provides an interdisciplinary and integrative overview of latest development in smart farming, technology penetration in machinery for production and processing of horticultural crops, etc. It yields automotive, modern and scalable technological solutions to cut down the risks and enhance sustainability to make predictive decisions which makes the agriculture more productive.
The proposed special issue on “Internet of Things (IoT) and Autonomous Unmanned Aerial Vehicle (AUAV) Technologies for Smart Agriculture Research and Practice” focuses on the research and practices in the Agriculture domain. The theoretical research, designs of machinery for cultivation, processing of seeds, transplanting, weeding, fertilizing, spraying, pruning, etc. would be encouraged to submit the article along with the IoT based applications.
Objective
The main objective of this special issue is to promote recent advances in the field of Internet of Things (IoT) and Autonomous Unmanned Aerial Vehicle (AUAV) Technologies for agricultural research and development. The special issue aims to provide a comprehensive overview of the current state of the art in IoT and AUAV technologies for smart agriculture, including both theoretical and practical aspects. The objective is to bring together researchers, practitioners, and decision makers in the field to share their experiences, insights, and best practices on theoretical research, designs of machinery for cultivation, processing of seeds, transplanting, weeding, fertilizing, spraying, pruning, etc, along with the IoT based applications.
Recommended topics (but not limited to)
- Design Principles of Agricultural UAVs
- Applications of Agricultural UAVs - Specific domain, say horticulture, precision farming
- IoT based Smart harvesting
- AUAVs based Smart harvesting
- Efficiency of operation using machinery
- Efficient route planning for planting, weeding, spraying
- Energy-consumption matching and optimization of AUAVs, machineries
- Variable and dynamic spray of fertilizer
- Harvesting robot in horticulture
- Intelligent machines and robots in grain production and horticulture
- Automatic and autonomous agricultural vehicles
- Multi machine collaborative navigation and obstacle avoidance technology
- Intelligent machines integrating irrigation, fertilizing and pesticide spraying
- Application of UAVs
- Intelligent machines and robots unmanned farms
- IoT sensors applications for agricultural research
Important dates
Submission deadline: 30 April, 2024
Authors notification: 15 June, 2024
Revision submission: 15 July, 2024
Final acceptance notification: 31 July, 2024
Final manuscript submission: 31 August, 2024
Completion of Special Issue: September, 2024
Submission guidelines
Original and unpublished works on any of the topics aforementioned or related are welcome. The SCPE journal has a rigorous peer-reviewing process and papers will be reviewed by at least two referees. All submitted papers must be formatted according to the journal's instructions, which can be found here.
During submission please select a Special Issue that you want to submit to and provide this information in the Comments for the Editor field.
Guest Editors
Lead: Dr. A. Vadivel, Professor, Department of Computer Science and Engineering, GITAM School of Technology, GITAM Deemed to be University, email: vayyasam@gitam.edu
Dr. K. Meena, Associate Professor, Department of Computer Science and Engineering, GITAM School of Technology, GITAM Deemed to be University, email: mgurupar@gitam.edu
Dr. P. Sumathy, Assistant Professor, Department of Computer Science, Bharathidasan University, Trichy, email: sumathy.p@bdu.ac.in
Dr. Henry Selvaraj, Professor, Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, USA, email: henry.selvaraj@unlv.edu
Dr. Grzegorz Borowik, Senior Solution Architect at Tricho LAB, Deep Dive Lab Warsaw, Mazowieckie, Poland, email: grzegorz.borowik@tricholab.com
Dr. Kinkar Chandra Das, Professor, Department of Mathematics, Sungkyunkwan University, Suwon 16419, Republic of Korea, email: kinkardas2003@googlemail.com
Published in 2024
- UAV Path Planning Model Leveraging Machine Learning and Swarm Intelligence for Smart Agriculture
- Smart Fertilizing Using IoT Multi-Sensor and Variable Rate Sprayer Integrated UAV
- A Multi Moving Target Localization in Agricultural Farmlands by Employing Optimized Cooperative Unmanned Aerial Vehicle Swarm
- Predictive Cultivation: Integrating Meteorological Data and Machine Learning for Enhanced Crop Yield Forecast