 | Dr. P. Shanmugavadivu |
Submission deadline: January, 31st 2024 (for May 2024 issue)
About the Special Issue:
Agriculture is one of the significant productive economic activities that drive economic growth and development. Agriculture is a critical element for the survival of humanity, and recent trends have shown that digital agriculture needs a multi-sensor system. Multisensory systems play an important role in smart agriculture, such as monitoring, tracking, surveillance, and managing it. Multisensory systems help reduce human interference and have a correct analysis of crop production. Advancements in wireless sensor networks and the Internet of Things have revolutionized agricultural industries.
The importance of big data and the internet of things in agriculture is becoming more and more important. By utilizing the benefits from innovative technologies, such as multisensory systems, it is possible to increase the yield from cultivated land. This has become vital due to simultaneously increasing demand for food resulting from a growing world population together with the decline of cultivatable land area. The population growth and the subsequent rise in food demand necessitate the adequate cultivation of crops. But due to unpredictable weather conditions and pests, the agricultural yield is highly affected. The sensory system comprises sensors, signal processing tools, and communication systems, which work in tandem to meet the challenges of decision-makers in agriculture.
In recent years, agricultural surveillance has become increasingly important due to the dramatic increase in population. With the development of the Internet-of-Things, smart farming has become the research focus in recent years. The multiple sensory can collect data, including soil moisture and gas concentration, plants’ water content and sunshine, etc. It is possible to monitor environmental information in real-time, increase production efficiency, reduce production costs and help the sustainable development of agriculture. Agriculture is being transformed by advanced digital agriculture, which is a new trend currently, with the growth and development of the Internet of Things and artificial intelligence. Computational intelligence is one of the recent developments that promote smart agriculture in more effective ways to implement human intelligence. Smart agriculture is an upcoming trend that has recently emerged in the agricultural sector. Shortly, technologies of visual and multiple sensory systems based on the Internet of Things will become a standard for many customers for smart agriculture. In a smart farming system, multisensory information is collected from farmlands using heterogeneous sensors, including camera-based and image sensors. Once collected, this information must undergo intelligent data processing to achieve real-time detection and accurate prediction of agriculture events along with the prediction of plant growth parameters. Advances in multi-sensor networking, big data management, and artificial intelligence are expected to revolutionize the agriculture industry. An agricultural automation system is necessary because it improves efficiency reduces human effort and time consumption. This special issue gathers recent advances in developing multisensory systems for different facets of smart agriculture.
Topics:
- Design and analysis of novel agricultural remote monitoring
- Decision support network for crop healthcare monitoring
- IoT in agriculture
- Recent advances in the multisensory system for smart agriculture
- Information Technology and Data Science Applications for Smart Agriculture
- Automated smart agriculture systems
- Implementation and evaluation issues of a multisensory system for smart agriculture
- Automated climate control systems
- Mobile robots for farming
- Remote sensing and image processing
- Smart detection for wastewater management and pest management in agriculture
- Smart sensing for agriculture and water supply management