CHUNG-MIN LIAOLin W.2020-01-142020-01-1420000360-1234https://scholars.lib.ntu.edu.tw/handle/123456789/448782A dynamic model based on the linear systems theory is developed in designing a highly cybernetic farming strategy to efficiently manage residuals generated in farm ecosystems. A linear cybernetic model would be used to describe the dynamic behavior of resource flow in the farm ecosystem in which the state variables are resource quantities, and the control variables are residual quantities. The controlled process is defined as the controlled management strategy change. Cybernetic mechanism shows the application of residuals as control measures have determinate effects on the controlled process as along as the farming system is observable and controllable in the control sense. To illustrate the model algorithm the idea is applied to simulate the dynamic response of residual phosphorus concentrations in an integrated pig/corn farming system located in the south Taiwan region. General results show that the residual phosphorous concentration is influenced by farming activities which are controlled by a system of gross input and net output parameters. This paper demonstrates using input-output analysis technique that residuals generated in the farming system is the most important cybernetic variable, so that the proper management of residuals alone has the potential to maintain future productivity and sustainability.Cybernetic; Ecosystems; Farming systems; Models; Residual phosphorus[SDGs]SDG2fertilizer; phosphorus; agricultural modeling; agricultural practice; agrochemical; phosphorus; sustainable development; agriculture; algorithm; article; corn; cybernetics; ecosystem; feedback system; linear system; pollution; productivity; swine; Agriculture; Algorithms; Animals; Cybernetics; Ecosystem; Linear Models; Organophosphorus Compounds; Swine; Taiwan; Taiwanjournal article10.1080/036012300093733072-s2.0-0033763173https://www2.scopus.com/inward/record.uri?eid=2-s2.0-0033763173&doi=10.1080%2f03601230009373307&partnerID=40&md5=374769595284ef2000c729eedfefd3c5