Karthigha, M (2025) Digital Technologies and Tools for Smart Agriculture. CRC Press, New York. ISBN 9781003487005
Full text not available from this repository.Abstract
To meet the food requirements of the growing population worldwide, the agricultural domain is being technologically empowered to produce more with fewer resources and investments. Fortunately, the faster maturity and stability of digital (digitization and digitalization) technologies and tools have laid a stimulating and sparking foundation for large-scale production of food items with minimal time, talent, and treasure. The penetration and pervasiveness of the Internet of Things (IoT) sensors and actuators are considered the first and foremost aspect of advanced and adaptive agriculture. Further, the device ecosystem for automated and accelerated agriculture processes and practices grows consistently. The robots and drone space advancements are fascinating, as they are set to transform the industry. Connected robots, drones, and other agriculture equipment, appliances, instruments, and machinery are flourishing towards intelligent agriculture. Agriculture sensors and devices generate a lot of real-time and real-world digital data. With the help of artificial intelligence (AI) methods, all agriculture data are subjected to various deep and decisive investigations to extract actionable insights in time. Other noteworthy improvisations include the widespread deployment of 5G communication networks, the growing power of edge analytics and intelligence, the distinct contributions of blockchain technology, the adoption and adaptation of cloud-native computing principles, the phenomenon of digital twins, etc., in the digital space. All these developments have led to the realization of smart agriculture products, solutions, and services.
Item Type: | Book |
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Subjects: | C Computer Science and Engineering > Data Transmission |
Divisions: | Computer Science and Engineering |
Depositing User: | Dr Krishnamurthy V |
Date Deposited: | 03 May 2025 11:14 |
Last Modified: | 03 May 2025 11:14 |
URI: | https://ir.psgitech.ac.in/id/eprint/1420 |