پیش‌بینی انرژی خروجی و نشر گازهای گلخانه‌ای در تولید بادام‌زمینی: مطالعه موردی شهرستان آستانه اشرفیه استان گیلان

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار، گروه مهندسی مکانیک بیوسیستم، دانشکدۀ کشاورزی، دانشگاه رازی، کرمانشاه، ایران

2 استادیار، گروه اقتصاد کشاورزی و توسعه روستایی، دانشکدۀ کشاورزی، دانشگاه لرستان، خرم آباد، ایران

3 استادیار، گروه مهندسی ماشین‌های کشاورزی، دانشکدۀ مهندسی و فناوری کشاورزی، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران، کرج، ایران

چکیده

این تحقیق به بررسی انرژی مصرفی، نشر گازهای گلخانه­ای و الگوسازی آن‌ها با بهره­گیری از روش‌های هوش مصنوعی برای تولید محصول بادام­زمینی در شهرستان آستانه‌اشرفیه استان گیلان پرداخته است. داده‌های موردنیاز برای مطالعه از طریق گفتگو و مصاحبه با کشاورزان و کارشناسان منطقه در سال زراعی 1398 به‌دست آمد. نتایج نشان داد، میزان کل انرژی نهاده­ها و انرژی ستانده در تولید محصول بادام‌زمینی به­ترتیب در حدود 19248 و 87210 مگاژول بر هکتار با کارایی 53/4 بوده و بیشترین میزان مصرف نهاده­ها به کودهای شیمیایی با 45% تعلق داشت. همچنین، در فرایند تولید حدود 571 کیلوگرم کربن دی­اکسید بر هکتار منتشر گردید، که سوخت فسیلی با 57 درصد بالاترین سهم انتشار را به خود اختصاص داده است. نتایج الگوسازی نشان داد که در مقایسه با شبکه عصبی مصنوعی، عملکرد سامانه انفیس در پیش­بینی انرژی خروجی و نشر گازهای گلخانه­ای تولید بادام‌زمینی بهتر است.

کلیدواژه‌ها

عنوان مقاله [English]

Predicting output energy and greenhouse gas emissions in peanut production: A case study in Astaneh-Ashrafiyeh county of Guilan province

نویسندگان [English]

  • Ashkan Nabavi-Pelesaraei 1
  • Mohammad Reza Pakravan-Charvadeh 2
  • Hassan Ghasemi-Mobtaker 3
1 Assistant Professor, Department of Mechanical Engineering of Biosystems, Faculty of Agriculture, Razi University, Kermanshah, Iran
2 Assistant Professor, Department of Agricultural Economics and Rural Development, Faculty of Agriculture, Lorestan University, Khorramabad, Iran
3 Assistant Professor, Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
چکیده [English]

Surveying of energy consumption, greenhouse gas emissions and their modeling using artificial intelligence methods in peanut production of Astaneh-Ashrafiyeh county of Guilan province were investigated in this research. The data used in the study were collected using a face-to-face questionnaire in 2019 production period. Results showed the total inputs energy and output energy were 19248 and 87210 MJ ha-1 with energy use efficiency as 4.53, respectively and the highest consumption of inputs was belonged to chemical fertilizers with 45%. Also, in production process, about 571 kgCO2eq. ha-1 was emitted that fuel with 57% had the highest share of emissions. The modeling results showed that in comparison with the results of artificial neural network, the performance of the ANFIS model is better in predicting the output energy and greenhouse gas emissions of peanut production.

کلیدواژه‌ها [English]

  • Energy
  • Peanut
  • Greenhouse gas
  • Artificial intelligence

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تحقیقات اقتصاد و توسعه کشاورزی ایران
دوره 53، شماره 1
فروردین 1401
صفحه 145-162

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