Driving Agricultural Transformation: Unraveling Key Factors Shaping IoT Adoption in Smart Farming with Empirical Insights

Abstract

The Internet of Things (IoT) holds immense potential for the social and economic development of developing countries, as recognized by academia and professionals. However, there is a notable lack of theoretical research on IoT adoption within agricultural settings. To address this gap, this study introduces a model focusing on nine critical “Technology-Organization-Environment” (TOE) factors. Empirical validation was conducted using data from 179 managers in diverse agricultural organizations. The research model was evaluated by using “Partial Least Squares Structural Equation Modeling” (PLS-SEM). The results underscored the significance of governmental support and technological compatibility in driving IoT adoption. Moreover, financial considerations within organizations and the evolving digital landscape were identified as key influencers of smart farm adoption. This study offers valuable insights with significant implications for sustainable IoT adoption in research and practical applications.

Evaluating the Impact of Controlled Ultraviolet Light Intensities on the Growth of Kale Using IoT-Based Systems

“…Microcontroller compatibility [9][10][11][12][13][14][15] IoT devices must be compatible with microcontrollers that offer sufficient computational power, energy efficiency, and connectivity options to handle real-time data processing.…”

“…Integrating Internet of Things (IoT) technology into indoor kale cultivation presents significant potential for a paradigm shift and the advancement of organic farming methodologies. Particularly those enhanced by IoT technology, indoor cultivation systems present a promising resolution to those challenges [9][10][11]. IoT technology in precision agriculture enables the exact regulation of growing conditions, including light, temperature, and humidity, which are critical for the kale plant's growth.…”

Digital Visualization of Environmental Risk Indicators in the Territory of the Urban Industrial Zone

“…IoT sensors enable the real-time monitoring of crop health and conditions, optimizing resource use and reducing costs. Additionally, IoTenabled supply chains enhance efficiency, align crop distribution with consumer demand, and reduce food waste, ensuring high yields and long-term sustainability [3].…”

“…Element was not detected in background soil samples. The MPC value was used for calculations 3. MPC was not established.…”