Perception Mapping of Internet of Things in Augmenting Agroforestry: A Preliminary Exploration

D Lalrochunga, A Parida, S Choudhury - Information Systems for …, 2023 - Springer
Information Systems for Intelligent Systems: Proceedings of ISBM 2022, 2023Springer
Agroforestry practices have helped to balance the environment while also increasing
agricultural productivity. Much research and development have improved the capabilities of
computational technologies in realizing Internet of things (IoT)-based intelligent systems.
The Internet of things has changed the way devices, sensors, and networks communicate,
making them more versatile than the previous technologies. Devices have become
communicable, and the connection made by IoT through use of stringent computational …
Abstract
Agroforestry practices have helped to balance the environment while also increasing agricultural productivity. Much research and development have improved the capabilities of computational technologies in realizing Internet of things (IoT)-based intelligent systems. The Internet of things has changed the way devices, sensors, and networks communicate, making them more versatile than the previous technologies. Devices have become communicable, and the connection made by IoT through use of stringent computational paradigm has found to significantly agricultural farmlands. With the introduction of IoT, information on the type of crops grown, the soil moisture content, and the amount of irrigation required for a specific type of crop has become smart. Even farmland policy has become feasible with all of the sustainable goals of the governing body that mandates agricultural farmland operations. The stakeholders’ preconceptions have been mapped, with contributing factors such as technology, utility, and adaptability prospects of IoT paradigms in relation to agroforestry. As a result, this paper discloses the concerned respondents’ perceptions on the promising beneficial intervention of IoT in the operation of agroforestry. The use of Likert scale for descriptive statistics and multiple regression analysis for predictive statistics also has been adopted for the perception mapping.
Springer
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