本系統未來還有些許地方需要改進，在影像分割及特徵擷取方面，未來希望 將系統加速並加入其他特徵使得茶園土壤分類能更加準確。在生物量偵測方面，
本系統僅偵測茶園的覆蓋率與成長率，但實際上在農業經營的範疇中還有其他許 多需求的生物量，未來希望能增加偵測的生物量類別，使得偵測結果能更多樣化。
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本系統的影像分割依賴對綠色的分類，但綠色中還具有很多不同的層次，目 前本系統尚不具辨識各種綠色之間差異的功能，未來希望能夠加入不同狀態的茶 樹(如病害和蟲害)的偵測，以及綠色茶樹以外其他偵測標的(如果實和土壤含水率) 的辨識，並且以現有的系統為基礎分別針對其他的樹種或各種天然資源進行偵 測。
本研究目前由手動操縱無人飛行載具拍攝茶園影像，雖然取代了人工進行田 野調查的工作量，但是還是需要經過專業訓練的飛行駕駛去操縱無人飛行載具。
並且仍有許多地方尚未完全自動化，影像間的重疊需要人工將事先選定的定位物 體做重疊，所以未來希望能與自動起降尋航系統整合，並且加入自動選擇定位點 的功能，使得影像縫合的過程能夠達到完全的自動化，然後在系統中加入風速測 量的環節，使得系統能夠針對不同的環境設定適合的飛行路線與飛行速度，並且 自動連網擷取當日天氣狀況評估是否符合不同地區監測任務的執行，發展成全方 位的自動化生物量監控系統。
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