Agricultural Cybernetics
Agricultural Cybernetics
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农业控制论
DOI：
10.1007/978-3-030-72102-2
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Qin Zhang
中科院分区：
文献类型：
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作者：
Yanbo Huang;Qin Zhang
农业的首要目的是养活人类。作为地球上历史最悠久的产业，农业生产的生产技术经历了从传统农业、机械化农业、精准农业，到最近的数字农业。两位作者在数十年农业技术研发的学习和实践经验的启发下，不约而同地认识到，任何农业技术的核心理念都是建立在控制论原理之上的，尽管农业不同发展阶段所采用的具体技术可能有所不同。作者黄彦波原本是一名控制工程师出身。他参与并领导了多个领域的项目，包括宏观/微观经济分析、计算机集成制造系统和农业生产管理系统，利用控制论、系统工程和动态系统时间序列分析中的控制论方法。黄博士是该领域最早将化学工程过程控制方案引入食品加工单元操作建模和控制的人之一。他开创了第一个完整的人工神经网络系统框架，用于对休闲食品油炸单元的操作进行建模和控制。黄彦博还开发了信息处理和分析的算法。他是农业工程领域第一个开发用于从超声弹性成像图像中提取特征的二维离散小波分析的人，该分析最初被开发并用于乳腺癌诊断和肉类质量评估。凭借这些成就，黄博士于 2001 年与德克萨斯 A&M 教授 A. Dale Whittaker 和 Ronald E. Lacey 共同撰写了《食品工程自动化：食品质量量化和过程控制（CRC Press）》一书。该书全面介绍了“食品过程控制”的概念。此后，黄博士逐渐将研究目标转向精准农业背景下类似方法的作物领域。在这项研究中，他根据遥感观测的处方，将精准农业作业从战略规划扩展到喷雾应用系统仪器和控制的战术行动。黄博士在读大学生时
The primary purpose of agriculture is to feed people. As the industry with the longest history on earth, the production technology for agriculture production has evolved from traditional farming, mechanized farming, precision farming, and recently to digital farming. Enlightened by tens of years of experience in learning and practicing technology research and development for farming, both authors coincidently realized that the core philosophy of any farming technologies was built on the principle of cybernetics, though the specific technologies employed in different development stages of farming could be different.Author Yanbo Huang originally is a control engineer by training. He has been involved in and led projects across many fields, including macro/micro economic analysis, computer integrated manufacturing systems and agricultural production management systems using the methodology of cybernetics in control theory, systems engineering, and dynamic system time series analysis. Dr. Huang was among the earliest in the field to introduce process control schemes in chemical engineering to modeling and control of food processing unit operations. He pioneered the first complete systematic framework of artificial neural networks for modeling and control of a snack food frying unit operation. Yanbo Huang also developed algorithms for information processing and analysis. He was the first in agricultural engineering to develop 2D discrete wavelet analysis for feature extraction from ultrasonic elastography images, which was originally developed and used for breast cancer diagnosis, for meat quality evaluation. With these accomplishments, Dr. Huang, in 2001, wrote the book “Automation for Food Engineering: Food Quality Quantization and Process Control (CRC Press)” with co-authors and Texas A&M Professors A. Dale Whittaker and Ronald E. Lacey. The book provided a thorough introduction to the concept of “food process control.” Since then, Dr. Huang has gradually moved his research target to crop fields with similar approaches within the context of precision agriculture. In this research, he scaled the precision agricultural operations from strategic planning to tactic actions for instrumentation and control of spray application systems based on the prescription from remote sensing observations. When Dr. Huang was a college student studying