تحلیل توسعه کشاورزی هوشمند در گلخانه‌های استان تهران

نوع مقاله : مقالات پژوهشی به زبان انگلیسی

نویسندگان

گروه مدیریت و توسعه کشاورزی، دانشگاه تهران، تهران، ایران

چکیده

در دهه‌های اخیر کشت در محیط‌های گلخانه‌ای به‌عنوان یکی از راه‌حل‌های بالقوه جهت افزایش بهره‌وری منابع تولید و پاسخگویی به تقاضای غذایی فزاینده ناشی از رشد جمعیت مورد توجه کشورها قرار گرفته است. بااین‌حال، شکاف عملکردی قابل‌توجهی از نظر شاخص‌های عملکردی گلخانه‌ها نظیر عملکرد محصول، مصرف آب، انرژی و غیره در کشور ایران با کشورهای پیشرو در صنعت تولیدات گلخانه‌ای وجود دارد. یکی از راهکارهای مورد تأکید برای غلبه بر این چالش‌ها و بهینه‌سازی استفاده از منابع تولید، پیاده‌سازی فناوری‌های هوشمند در گلخانه‌ها است. با توجه به عدم توسعه فراگیر فناوری‌های هوشمند در گلخانه‌های استان تهران و اهمیت این استان در تولید محصولات گلخانه‌ای در کشور، مطالعه حاضر با هدف تحلیل توسعه کشاورزی هوشمند در گلخانه‌های استان تهران انجام گرفت. جامعه آماری پژوهش شامل 20 نفر از خبرگان موضوعی دارای سابقه تحقیقاتی یا اجرایی در زمینه هوشمندسازی گلخانه‌ها بودند. انتخاب این افراد نیز به روش هدفمند انجام شد. ابزار جمع‌آوری داده‌ها در این پژوهش مصاحبه نیمه ساختاریافته و پرسشنامه بود. در ابتدا با استفاده از مرور ادبیات موضوع و مصاحبه‌های نیمه‌ ساختارمند با خبرگان موضوعی، متغیرهای عوامل مؤثر بر توسعه کشاورزی هوشمند در گلخانه‌ها (شامل مؤلفه‌ها، الزامات و چالش‌های توسعه کشاورزی هوشمند) شناسایی شدند. سپس، از خبرگان خواسته شد تا اثرات متقاطع، متغیرهای شناسایی شده را از طریق مقایسه زوجی ارزیابی کنند. درنهایت، تجزیه ‌و تحلیل داده‌ها به روش تحلیل اثرات متقابل با استفاده از نرم‌افزار MICMAC انجام شد. بر مبنای تحلیل شبکه روابط اثرگذاری و اثرپذیری به‌ترتیب الزامات و چالش‌های اقتصادی، الزامات و چالش‌های فنی و زیرساختی، الزامات قانونی و مقرراتی و الزامات نهادی به‌عنوان تأثیرگذارترین متغیرهای مؤثر بر توسعه کشاورزی هوشمند در استان تهران شناسایی شدند.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Investigation of Developing Smart Agriculture in Greenhouses of Tehran Province

نویسندگان [English]

  • Sodabeh Binaei
  • Hossein Shabanali Fami
  • Khalil Kalantari
  • Aliakbar Barati
Department of Agricultural Management and Development, Faculty of Agriculture, University of Tehran, Tehran, Iran
چکیده [English]

Food production in controlled cultivation areas plays a crucial role in increasing productivity and offsetting supply shortages. Product yields, water consumption, and energy use are the main parameters determining the performance of food production in a greenhouse. Smart technology is an effective solution to improve these parameters. This study aimed to identify the components, challenges, and requirements for the development of smart agriculture in greenhouses. Our case study focused on Tehran province, which encompasses a significant portion of the total greenhouses in Iran. The statistical population consisted of 20 subject-matter experts with research or executive experience in greenhouse automation, selected purposefully. Questionnaires and semi-structured interviews were used in this study to collect data. First, we identified the variables affecting the development of smart agriculture in greenhouses by using a literature review and semi-structured interviews with experts, Then, the experts were asked to evaluate the cross-influence of the identified variables through pairwise comparison. Finally, data analysis was done using MICMAC software. The findings indicate that the identified requirements and challenges have had a significant influence on the lack of smart agriculture in greenhouses. Through network analysis of influence and dependence relationships, it was found that economic requirements and challenges, technical and infrastructural requirements and challenges, legal and regulatory requirements, and institutional requirements were the most influential variables in the development of smart agriculture in Tehran province.

کلیدواژه‌ها [English]

  • Smart agriculture development
  • Smart greenhouse
  • Smartening challenges
  • Smartening requirements

©2023 The author(s). This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source.

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