نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه اقتصاد کشاورزی، دانشکده علوم کشاورزی، دانشگاه گیلان، رشت، ایران
2 استادیار پژوهش، مؤسسه تحقیقات برنج کشور، سازمان تحقیقات، آموزش و ترویج کشاورزی، رشت، ایران
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Introduction: Guilan province, as the largest producer of high-quality indigenous rice varieties in Iran, plays a vital role in the country's rice production. However, rice cultivation in the province faces several technical and managerial challenges that limit productivity and sustainability. In this context, artificial intelligence (AI)-based tools, as a transformative technology, have the potential to enhance resource management, improve productivity, and promote the sustainability of rice production. Therefore, the aim of this study is to identify and prioritize AI tools suitable for different stages of rice production in Guilan Province from the perspective of experts.
Materials and Methods: This study is applied in terms of its objective and descriptive–analytical in terms of its research method. First, through a comprehensive review of the literature and the Delphi method, the sub-criteria and artificial intelligence (AI) tools were identified and finalized with the participation of 20 experts. Subsequently, six criteria and seven AI tools were classified and structured within the research decision tree. Finally, the Spherical Fuzzy Analytic Hierarchy Process (Spherical Fuzzy AHP) was employed to determine the relative importance of the criteria and to prioritize the AI tools.
Results and Discussion: The findings indicated that the Infrastructure and Compatibility criterion, with a crisp weight of 18.60, was the most important criterion for selecting AI tools for rice production development in Guilan Province. Furthermore, CRISPR/Cas9 gene-editing technology achieved the highest priority under the Technical and Performance (16.79), Economic and Sustainability (16.19), and Infrastructure and Compatibility (17.42) criteria. AI-based machinery and robots ranked first under the Human (15.84) and Social and Cultural (15.63) criteria, while AI-based Internet of Things (IoT) sensors and systems achieved the highest priority under the Data and Information (15.3.) criterion. And also, based on the final synthesis, CRISPR/Cas9 gene-editing technology ranked first, with an overall crisp weight of 16.11%. These results indicate that the successful implementation of AI tools in rice production depends not only on their technical capabilities but also on the development of infrastructure, access to accurate data, the empowerment of farmers, and consideration of economic, social, and cultural dimensions.
Conclusion: The development of smart agriculture in rice production requires simultaneous attention to technical and performance, infrastructure and compatibility, data and information, human, social and cultural, and economic and sustainability criteria. Therefore, AI tools should be selected according to these criteria and the local conditions of Guilan Province. Overall, the targeted application of AI tools, together with the development of appropriate infrastructure, access to accurate data, and farmer training, can contribute to increased productivity.
کلیدواژه‌ها [English]
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