蟲體計數功能誘蟲系統之開發

Development of Insect-Trapping System Implemented

張經盛(CHING-SHENG CHANG)

指導教授 ： 林進發

朝陽科技大學/資訊學院/資訊與通訊系/碩士(2020年)

摘要

根據 2005 Environmental Sustainability Indexl (ESI) 與農委會的資料顯示，全世界 146 個國家統計資料中台灣的農藥使用量高達 12.6 公斤/公頃，約為全世界平均用量的 4 倍，其原因經田間研究發現，主要為一般使用慣行農法的農民多半在農藥的使用上並沒有正確的用藥觀念，以及容易被農藥商誤導所影響。近年來台灣社會的消費者對於食品安全、健康意識的抬頭，人人希望能夠吃的安心、用得健康，對於農產履歷亦開始重視，使用農藥所帶來的危害問題包括：農藥殘留、符合法律規範、通過認證標章等。近年在蟲害防治中也推出了使用害蟲性費洛蒙誘引的技術，使用費洛蒙吸引雄性害蟲並將其捕集，減少害蟲交配以達到控制害蟲數量。在本論文中，提出物聯網(Internet of Things)感測技術結合費洛蒙誘引技術的整合系統，害蟲捕集後再使用秤重感應器進行蟲體重量偵測，即可得知害蟲重量，並利用所提出的蟲體計數演算法進行數量的演算，並收集環境數據加以比對，將蟲害資訊數據化後即可得知蟲害指數，以幫助農民達到減少使用農藥、合理用藥的目標，期許能夠解決大量使用農藥所衍生的各種問題。

關鍵字

費洛蒙誘引 ； 科技農業 ； 物聯網 ； 演算法

並列摘要

According to the Environmental Sustainability Index 2005(ESI) and the Committee of Agriculture data, the use of pesticides in Taiwan is 4 times higher than the world average which uses 12.6 kg/ha. After research, the main reason why causes this issue is that farmers do not have the correct concept of using pesticides. And farmers are easily misleading by pesticide companies. In recent years, consumers in Taiwan have raised their awareness of food safety and health. Everyone wants to be able to eat safely and healthily. The hazards by the use of pesticides include pesticide residues, legal norms, passing certification license, etc. In recent years, pheromones trap have also been introduced in pest control, using pheromones to attract male pests and capture them, reducing pest mating to control the number of pests. This work is to develop and evaluate the effectiveness of the newly designed insect-trapping system, implemented with pest counting algorithm. We plan to integrate the pest pheromone attraction mechanism with the developed algorithm, to detect the number of pests and environmental data. The results of this paper are expected to help rationalize the use of pesticides, enhance the production efficiency of organic agriculture, and reduce the usage of pesticides in agricultural production. Through a series of promotion and training activities, we provide farmers with a choice for pest control.

並列關鍵字

pest monitoring ； agricultural technology ； Internet of Things (IoT) ； algorithm

參考文獻

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