機械學習於農業之應用－以動物及其產品生產與管理為例

A Review of Machine Learning Approaches to Agriculture-Examples in Animal Production and Management

辛坤鎰(Kun-Yi Hsin)

《台灣農學會報》 18卷3&4期 (2017/12) Pp. 275-290

https://doi.org/10.6730/JAAT.201712_18(3-4).0005

摘要

機械學習是實作人工智慧（AI）的技術，其隨著大數據、資料科學及電腦高速運算科技的發展，近年被廣泛地運用在農業生產與管理上；本篇綜論報告整理一系列國際學術期刊相關研究，臚列各種常用於農業生產系統之主要機械學習技術與特性，並概述其演算法及注意事項，輔以動物及其產品生產與管理為例，具體列舉目前機械學習技術之實作進展與應用現況，與各種感測器、數位影像設備或大數據等整合，討論各種技術存在之效能差異與優缺點，作為後續研究改進的參考。

關鍵字

人工智能 ； 機械學習 ； 生物識別 ； 動物生產與管理 ； 精準農業

並列摘要

Machine learning implements the idea of Artificial Intelligence (AI). With the developments of big-data, data science and high performance computing, machine learning has been applied to agriculture. This review summarizes a series of machine learning methods and features. A number of examples of its application in animal production and management are given. The integration of machine learning with various sensors, image processors and big-data technologies is also described, showing its development progress in practice.

並列關鍵字

Artificial Intelligence ； Machine Learning ； Biometrics ； Animal Production and Management ； Precision Agriculture

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