A Comparative Study on the Application of Internet of Things in Smart Farming for Monitoring the Farming
H. Anwer Basha (),
Arul Mary Rexy and
L. N. Jayanthi
Additional contact information
H. Anwer Basha: Saveetha College of Liberal Arts and Sciences, Saveetha Institute of Medical and Technical Sciences, Department of Computer Science
Arul Mary Rexy: Saveetha College of Liberal Arts and Sciences, Saveetha Institute of Medical and Technical Sciences, Department of Commerce
L. N. Jayanthi: Saveetha College of Liberal Arts and Sciences, Saveetha Institute of Medical and Technical Sciences, Department of Commerce
A chapter in Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024), 2024, pp 295-306 from Springer
Abstract:
Abstract The Internet of Things (IoT) is a game-changing piece of technology that promises to have far-reaching repercussions for a variety of business sectors. The fact that it is able to bestow intelligence on commonplace items has important ramifications for both the present and the future of the industries in question. The network is made up of a number of different devices, each of which has the capability to set itself up automatically. Conventional agricultural practises are undergoing a sea change as a result of the IoTs technology that is being used in the area of smart farming. This is accomplished through increasing the profitability of farming operations, decreasing the amount of crop loss, and maximising the output of all agricultural activities. The purpose of this project is to come up with a technology solution that will allow for the transmission of messages to farmers through a variety of different communication channels. The purpose of the suggested solution is to provide farmers with data from their farms that is updated in real time in order to help them improve their agricultural practises. The information gathered consists of things like temperature, humidity, the UV index, and infrared. The technology is intended to provide farmers with the ability to make choices based on accurate information and carry out the steps required to engage in intelligent farming. It is hoped that this would result in increased agricultural yields as well as the preservation of available resources. There are several difficulties that are linked with farmers using IoT-based agriculture in their operations. It is essential that engineers come up with answers to the particular problems that are related by utilizing smart farming practises. The automation of agricultural engineering procedures is facilitated by the use of non-traditional mechanisation technologies, which are part of the application of smart farming practises. One of the primary responsibilities of an engineer is the development and use of fresh strategies and cutting-edge technology with the goal of improving the accuracy of agricultural equipment. This work may be done either alone or in collaboration with other engineers. In order to generate ideas and knowledge that are founded on synergy, the current research pulls on a wide variety of technical domains, such as mechatronics, instrumentation, control systems, agricultural mechanisation, as well as experience in artificial and computational intelligence. The area of precision agriculture has been profoundly influenced by the incorporation of big data, satellite images, and aerial photography. These cutting-edge technologies have given farmers the capacity to maximise their production efficiency while simultaneously maintaining a healthy balance between their productivity and their impact on the environment. Combining one’s technical expertise with a solid understanding of business practises is required to be successful in the field of engineering, which serves as a system integrator in both the public and private sectors.
Keywords: Internet of things; Smart Farming; Crop management; Discriminant analysis (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-433-4_21
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DOI: 10.2991/978-94-6463-433-4_21
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