آمار
| تعداد نشریات | 26 |
| تعداد شمارهها | 447 |
| تعداد مقالات | 4,557 |
| تعداد مشاهده مقاله | 5,380,003 |
| تعداد دریافت فایل اصل مقاله | 3,580,069 |
Assessing and Prioritizing Agricultural Drone Sprayers in Kerman Province: an Analytic Hierarchy Process (AHP) Approach | ||
| Biomechanism and Bioenergy Research | ||
| دوره 3، شماره 1، شهریور 2024، صفحه 36-45 اصل مقاله (657.82 K) | ||
| نوع مقاله: Original Research | ||
| شناسه دیجیتال (DOI): 10.22103/bbr.2024.22817.1075 | ||
| نویسندگان | ||
| Zinat Eskandari Nasab؛ Hossein Maghsoudi* | ||
| Biosystems Engineering Department, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran. | ||
| چکیده | ||
| Given the limited awareness among farmers regarding agricultural spraying drones, the Analytic Hierarchy Process (AHP) method serves as a valuable tool to assist farmers in systematically selecting the most high-performing drone from the available options. This research employed the AHP method, utilizing Expert Choice software, to evaluate and prioritize several drone sprayers in the southern region of Kerman province, specifically Pelikan1, T16, T20, and MG-1P. Various parameters, including coverage percentage, spraying quality coefficient, spraying uniformity, device price, amount of pesticide consumption, and droplet diameter, were thoroughly examined to establish distinct priorities for each parameter. Within the AHP framework, the coverage percentage was accorded the highest weight of 0.340, while spraying uniformity received the lowest weight of 0.100. The spraying quality coefficient, cost, and amount of pesticide consumption were assigned weights of 0.222, 0.185, and 0.153, respectively. Consequently, the T16 drone sprayer emerged with the highest rank, carrying a weight of 0.277 in comparison to other drone sprayers. In contrast, Pelikan1 attained the lowest rank with a weight of 0.225. The prioritization of spraying drones based on their performance is as follows: T16, T20, MG-1P, and Pelikan1, respectively. This study provides valuable insights for farmers seeking to optimize the utilization of drone sprayers in the southern region of Kerman province. | ||
| کلیدواژهها | ||
| Drone sprayers؛ sprayer evaluation criteria؛ Expert Choice software | ||
| مراجع | ||
|
Bertolini, M., Braglia, M., & Carmignani, G. (2006). Application of the AHP methodology in making a proposal for a public work contract. International Journal of Project Management, 24(5), 422-430. https://doi.org/10.1016/j.ijproman.2006.01.005
Ghadge, A. S., Shahare, P., Dhande, K., Khandetod, Y., Pathak, S., Haldankar, P., & Patel, S. (2022). Orchard spraying systems for unmanned aerial vehicles: A review. The Pharma Innovation, 11(12), 1438-1443.
Jafari Malekabadi, A., Sadeghi, M., & Zaki Dizaji, H. (2016). Comparing Quality of a Telescopic Boom Sprayer with Conventional Orchard Sprayers in Iran. Journal of Agricltural Science and Technnology (JAST), 18(3), 585-599.
Loghmanpour Zarini, R., Kalantari, D., Akram, A., & Mollapour, S. (2021). Selecting the Proper Sprayer in Citrus Gardens of Mazandaran Province by Analytical Hierarchy Process. Iranian Journal of Biosystems Engineering, 52(1), 119-129.
Özlüoymak, Ö. B., & Bolat, A. (2020). Development and assessment of a novel imaging software for optimizing the spray parameters on water-sensitive papers. Computers and Electronics in Agriculture, 168,105104. https://doi.org/10.1016/j.compag.2019.105104
Parks, W. J. (2000). Mapping weed ground cover using a weed-activated sprayer University of Georgia].
Saaty, T. L., & Vargas, L. G. (2012). Models, Methods, Concepts & Applications of the Analytic Hierarchy Process (Second Edition ed., Vol. 175). Springer Science & Business Media. https://doi.org/10.1007/978-1-4614-3597-6
Safari, M., Bagheri, N., Sheikhi Garjan, A., & Zarifneshat, S. (2023). Evaluation and comparison of sprayer drone to control Tuta pest in tomato crop. Agricultural Mechanization and Systems Research, 23(84), 1-16.
Safari, M., & Gerami, K. (2020). Prioritization of Methods and Criteria of Spraying for Wheat Fields by Analytical Hierarchy Process (AHP). Iranian Journal of Biosystem Engineering, 51(1), 139-148. https://doi.org/https://doi.org/10.22059/IJBSE.2019.287967.665217
Shahrooz, M., Talaeizadeh, A., & Alasty, A. (2020). Agricultural spraying drones: Advantages and disadvantages. 2020 Virtual symposium in plant omics sciences (OMICAS),
Zarifneshat, S., Saeidirad, M. H., Safari, M., Motame AlShariati, H. R., & Naseri, M. (2022). Technical Evaluation of Agriculture Drone Sprayer for Control of Wheat Weeds and Compare with Conventional Methods. Agricultural Mechanization and Systems Research, 23(82), 53-70. https://doi.org/10.22092/amsr.2022.360045.1427 | ||
|
آمار تعداد مشاهده مقاله: 178 تعداد دریافت فایل اصل مقاله: 111 |
||