2018-06-012024-05-15https://scholars.lib.ntu.edu.tw/handle/123456789/666182摘要：透過精確監測系統資訊之整合並結合區塊鏈掌握作物訊息，必為未來先端智慧農業發展之亮點。因此本計畫擬建立產銷及環境監測資訊之區塊鏈原型模式，由計畫建置之雲端資訊平台資料庫可收整與彙集各子計畫資料，藉由區塊鏈之真實性及不可竄改的特性，提供一具有作物與環境雙重優良認證之訊息。此外亦將建置作物生長預測模式平台，將數據分析模擬之作物生長模式運用於植株栽種。本計畫前期已使用模式分析作物生長與環境交互關係之特徵學習，建構作物生長模式，並將與智農栽培之資訊相互比較學習、整合，未來將持續驗證優化並研發新興作物模式，以獲取最佳作物生長模式；在後續研究中可挑選示範農場，移轉本計畫開發建置之產銷及環境監測資訊區塊鏈原型架構至實際案例，可強化優良農產品之經濟價值。以前瞻智慧決策有效率地栽植具高產量、高品質之作物，因應未來人口糧食需求遽增之重大議題。<br> Abstract: Integrated platform of Information and Communication Technology (ICT) and Blockchain is highlighted in future intelligent farming. In this project, we use Netted Muskmelon and cherry tomato as model plants to establish a platform to connect environmental monitoring system with optimal dynamic management of agricultural big data to further predict the effects of crops. Under crop models development, machine learning of traditional farming/crop model cultivation and the intelligently control of environment to improve the quality and production. In combination with Blockchain, all the information data stored in distributed nodes allow us to engineer trust and secure sustainable agricultural development with transparent data and ICT. An ICT e-agricultural systems with a Blockchain infrastructure prototype can ensure immutability of this data and provide a way to spatially and temporally trace current agricultural data as agricultural products move from their production sources to the consumers. Applying this system to demonstration fields, we can improve the production and marking resume and increase the economic value of excellent agriculture products.