<p>The increasing demand for food owing to population growth, the increase in the number of starving people, the lack of resources, the lowering of the water table and environmental pollution have put great pressure on developing countries to solve this problem by introducing and accepting environmentally friendly technologies. The purpose of this paper is to determine the factors that affect the smart farming adoption intention of elite farmers in the province of Fars, Iran. Smart farming technologies refer to agricultural management methods that use modern information and communication technologies to improve the quality of agricultural products and services, increase efficiency, and reduce resource consumption. The novelty of the current study derives from presenting a new theory-driven empirical analysis by evaluating an integrated model to determine the key factors influencing elite farmers' intentions to adopt smart farming in Fars Province, Iran, to pave the way for the implementation of these technologies in developing countries. The sample included 172 elite farmers selected through multistage random sampling. The results show that perceived usefulness, attitude toward behavior, self-efficacy and personal innovativeness have an important role in shaping the intention. The study emphasized that the perceived advantages of smart farming, perceived ease of use, smart farming knowledge, and controllability of behavior did not directly lead to the intention to adoption. Perceived usefulness also had the greatest influence on attitudes toward behavior. Holding short- and long-term training and workshops, forming communication networks and improving the culture of innovation are some of the suggestions of this study to improve the intention to adoption of these technologies.</p>

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An integrated model for analyzing farmers' behavioral intention towards the acceptance of environmental technologies

  • Somayeh Tohidyan Far,
  • Kurosh Rezaei-Moghaddam,
  • Saeed Shokri koochak

摘要

The increasing demand for food owing to population growth, the increase in the number of starving people, the lack of resources, the lowering of the water table and environmental pollution have put great pressure on developing countries to solve this problem by introducing and accepting environmentally friendly technologies. The purpose of this paper is to determine the factors that affect the smart farming adoption intention of elite farmers in the province of Fars, Iran. Smart farming technologies refer to agricultural management methods that use modern information and communication technologies to improve the quality of agricultural products and services, increase efficiency, and reduce resource consumption. The novelty of the current study derives from presenting a new theory-driven empirical analysis by evaluating an integrated model to determine the key factors influencing elite farmers' intentions to adopt smart farming in Fars Province, Iran, to pave the way for the implementation of these technologies in developing countries. The sample included 172 elite farmers selected through multistage random sampling. The results show that perceived usefulness, attitude toward behavior, self-efficacy and personal innovativeness have an important role in shaping the intention. The study emphasized that the perceived advantages of smart farming, perceived ease of use, smart farming knowledge, and controllability of behavior did not directly lead to the intention to adoption. Perceived usefulness also had the greatest influence on attitudes toward behavior. Holding short- and long-term training and workshops, forming communication networks and improving the culture of innovation are some of the suggestions of this study to improve the intention to adoption of these technologies.