Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/98279
標題: 智慧農業技術對香蕉生產之成本效益分析:以無人機應用為例
Cost-Benefit Analysis of Smart Farming Technology for Banana Growing: The Case of Drones Application
作者: 黃名揚
Ming-Yang Huang
關鍵字: 智慧農業;無人機;成本效益分析;Smart Farming;Drone;UAV;Cost-Benefit Analysis
引用: 一、中文參考文獻 王俊、陳維建、陳勇(2016)。四川什邡'稻-蒜-菸'糧經複合種植模式經濟效益 分析。中國農學通報,32(9), 200-204。 吳修賢(2017)。物聯網架構下導入自動化搬運系統成本效益分析:半導體封裝廠 為例。國立中興大學資訊管理研究所碩士論文,1-72。 李道亮(2012)。物聯網與智慧農業。農業工程, 1(3)。 林彥甫 (2013)。國產香蕉潛在消費偏好之研究。中興大學應用經濟學系所學位 論文,1-78。 施連敏、陳志峰、蓋之華(2013)。物聯網在智慧農業中的應用。農機化研究, 35(6),250-252。 張四明(2001)。成本效益分析在政府決策上的應用與限制。公共政策分析的理 論與實務,175-204。 楊純明(2008)。精準農業 - 引領農業永續之正途。 作物、環境與生物資訊, 5(2),146-148。 楊貴軍、李長春、于海洋、徐波、馮海寬、高林、朱冬梅(2015)。農用無人 機多傳感器遙感輔助小麥育種信息獲取。農業工程學報,31(21) ,184-190。 楊智凱、施瑩艷、楊舒涵(2016)。以智慧科技邁向台灣農業4.0時代。 農政與農情,289,6-11。 趙治平、楊宏仁(2009)。颱風天然災害後香蕉病害的綜合管理。天然災害作物復 育之病害管理研討會專刊,161-169。 二、國外參考文獻 Fornace, K. M., Drakeley, C. J., William, T., Espino, F., & Cox, J. (2014). Mapping Infectiousdisease Landscapes: Unmanned Aerial Vehicles and Epidemiolory, Trends in parasitology, 30(11), 514-519. Holmes, Bob. (2013). Nana from Heaven? How our Favourite Fruit Came to be. New Scientist. 218(2913), 38-41. Marinello, F., Pezzuolo, A., Chiumenti, A., & Sartori, L. (2016). Technical Analysis of Unmanned Aerial Vehicles (drones) for Agricultural Applications. Engineering for Rural Development, 15. O'Donnell, K., Kistler, H. C., Cigelnik, E., & Ploetz, R. C. (1998). Multiple Evolutionary Origins of the Fungus Causing Panama Disease of Banana: Concordant Evidence, From Nuclear and Mitochondrial Gene genealogies. Proceedings of the National Academy of Sciences, 95(5), 2044-2049. Romeo, Saverio. (2015). 'Overview on Smart Farming - Technology, Application Areas, Market Landscape and Entrepreneurship,' Beecham Research Press. Sinha, J. P., Kushwaha, H. L., Kushwaha, D., Singh, N., & Purushottam, M. (2016). Prospect of Unmanned Aerial Vehicle (UAV) Technology for Agricultural production,' Management,' International Conference on Emerging Technologies in Agricultural and Food Engineering 2016. Smith, K. W. (2015). Drone Technology: Benefits, Risks, and Legal Considerations. Seattle J.Envtl. L., 5, i. Stover, R. H. (1962). Fusarial Wilt (Panama Disease) of Bananas and other Musa Species. UK: Commonwealth Mycological Institute Press. UN. (2011), Assessing the Cost and Benefits of Adaption Options. United Nations Framework Convention on Climate Change. Wang, S. J., Middleton, B., Prosser, L. A., Bardon, C. G., Spurr, C. D., Carchidi, P. J. & Kuperman, G. J. (2003). A Cost-Benefit Analysis of Electronic Medical Records in Primary Care. The American Journal of Medicine, 114(5), 397-403. Weimer, D. L., & Vining, A. R. (2017). Policy analysis: Concepts and practice. Routledge. Zarco-Tejada, P. J., Hubbard, N., & Loudjani, P. (2014). Precision Agriculture: An Opportunity for EU Farmers - Potential Support with the CAP 2014-2020. Joint Research Centre (JRC) of the European Commission.
摘要: 
近年來由於全球暖化、氣候變遷以及病蟲害等因素的影響,導致世界農作物的產量受大極大影響;而智慧農業的出現,則為上述的問題提供了一個解答。所謂智慧農業即是結合物聯網科技等應用和農業生產技術及優化管理模式,使其資源使用率下降,同時帶來生產力的提升。本研究以農業用無人機在香蕉生產為例,探討其作為農民噴灑藥物之器具時產生之成本效益進行分析。

為了達到此分析目的,本研究針對不同耕種面積之蕉園,設定兩種情境,分別為「僅使用無人機作為農藥噴灑器具」及「在無人機上搭載熱成像儀做影像辨識分析」,進行益本效益分析;此外,為了評估在變數與預期不符時,對於最後決策所造成的影響,在模型中納入敏感度分析,計算「當香蕉價格不符預期」及「無人機墜毀」時的成本效益。除了從農民的角度出發研究其成本效益外,本文亦將農藥代噴業者做為一分析對象,評估其引入無人機做噴灑農藥器具時之投資效益,並納入「當代噴面積不如預期」時之情境作為敏感度分析。

根據本研究結果顯示,在各耕種面積之蕉農皆能因投資無人機作為生產器具而獲利,且在加載熱成像儀之後其獲利更為明顯;在敏感度分析下,即使將無人機墜毀納入模型之中,雖降低其獲利,但對於各耕種面積之蕉農仍皆具與正的投資效益;在對於蕉價下跌的敏感度分析中,若跌幅為5%仍皆能獲利;跌幅為10%,只剩耕種面積在3公頃之蕉園能獲利;當跌幅來到15%,則投資出現赤字。而對於代噴業者而言,即使在最少的代噴面積情況下,仍具有正的投資效益,顯示無人機為相當具有投資價值之項目。

The food production have been affected by the global warming, climate change, pests and diseases tremendously recent years, and the coming out of 'smart farming' has given a solution for the situation. Smart farming is defined as the combination between IoT(internet of things) technology and growing technique, the idea is to increase the productivity while lower down the resources. This article choose drone using at banana field spraying the pesticide for case study, evaluate the costs and benefits might generate in the procedure.

We set two different scenarios, which are 'spray the pesticide by drone only' and 'spray the pesticide by drone and use the thermal camera to evaluate the plant' to do cost-benefit analysis. In case of the parameters show different to our expectation, we add sensitivity analysis to our model, calculate the costs and benefit 'when the banana price is lower then expected' and 'when the drone cfrashed'. Besides, we not only assessing the cost-benefit for farmer but also the pesticide sprayer, 'when the spraying field is less then expected' is the sensitivity analysis.

According to the research result, no matter the size of the cultivation of banana field can always earn the better benefit then cost, and the gap is greater when using the thermal camera at the same time. Under sensitivity analysis, though we put 'drone crash' into the model, the outcome still keeps the positive result.
URI: http://hdl.handle.net/11455/98279
Rights: 同意授權瀏覽/列印電子全文服務,2018-08-28起公開。
Appears in Collections:農業經濟與行銷碩士學位學程

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