چکیده مقاله
The main objectives of this study were determination of carbon dioxide CO2 emissions and finding relation between CO2 emissions and harvested crop usingadaptive neuro fuzzy inference system ANFIS in the production process of chickpea under dry farming system in the Kangavar county of Kermanshah province that is located in the west of Iran 25 farmers were considered to collect data Results indicated that total CO2 emissions in chickpea farms was about225 kg CO2 eq ha 1 Diesel fuel was determined as the main CO2 emitter input with 173 49 kg CO2 eq that was more than 77% of total emissions Modeling results revealed that ANFIS architecture with two level was computed as the best model with cceptable statistical indices According to ANFIS 3 results, R2 was calculated as 0 954 and RMSE and MAE were determined as 2 82 kg CO2 eq and 0 51, respectively Finally, it can be concluded that artificial intelligence methods especially ANFIS can be useful for modeling with high accuracy in the agricultural activity
کلیدواژهها
نویسندگان
Ashkan Nabavi- Pelesaraei
Assistant Professor Department of Mechanical Engineering of Biosystems Razi University Kermanshah, Iran
شیوه ارجاع
Nabavi- Pelesaraei, Ashkan,1400,Application of adaptive neuro-fuzzy inference system to model CO2 emissions of chickpea production in Kangavar county, Iran,5th National Conference on Computer, Information Technology and Applications of Artificial Intelligence,Ahvaz
ارائهشده در
مجموعه مقالات پنجمین کنفرانس ملی کامپیوتر، فناوری اطلاعات و کاربردهای هوش مصنوعی15 اسفند 1400 · اهواز