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摘要


臺灣因全球氣候變遷影響,農業採用溫室或設施進行生產已愈趨普遍。近年來臺灣除了農村普遍存在從業人口降低及老年化的現象外,於溫室設施環境中進行農業生產,更是普遍缺乏適用的農業機械,使缺工的問題更顯嚴重。本文主題為開發設施蔬果生產之智慧機械系統,聚焦於設施作物生產時的智慧感測及精準栽培系統、設施管理作業所需的農機具共用智慧載具系統、省工智慧採收系統等主軸。應用熱影像檢測、螢光影像檢測、光譜影像檢測、移動軌跡演算及控制、區域定位、碰撞避讓、立體視覺、深度學習、機械手臂、可變率控制、精準農業、物聯網及大數據等高科技先端技術,建構設施蔬果生產之智慧系統,除了達到精準栽培,舒緩農村缺工問題,提高農產品品質,增加農民收入之目的外,更有助於智能化設備與智慧整合系統之發展。

並列摘要


Due to global climatic change, greenhouse production is a trend in the agriculture in Taiwan. In addition to problems of labor storage and aging, suitable agricultural machinery is not available for agricultural production in greenhouses. The development of intelligent systems and their applications to the production of fruits and vegetables in greenhouses are discussed and elaborated. We focused on studies of intelligent sensing systems of crop growth and cultivation strategies, universal intelligent vehicle systems for crop management, and labor-saving intelligent harvesters for fruits and vegetables in greenhouses. Advanced scientific technologies of thermal imaging inspection, fluorescence imaging inspection, spectral imaging inspection, reasonable trajectory calculation and motion control, local positioning, conflict resolving, stereo vision, deep learning, robotic arm, variable rate control, precision agriculture, Internet of Things, big data, and so on have been used and integrated to develop the intelligent systems for production of fruits and vegetables in greenhouses. The development of integrated intelligent systems will lead to benefits for greenhouse precision cultivation, reduced labor storage, promotion of agro-product quality, and increased farmer income; moreover, new business opportunities will emerge along with the development of intelligent agriculture facilities.

參考文獻


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