Open AccessAgriculture 4.0 the advance in models and new knowledge to improve production
Author(s) -
F González-Salazar
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/844/1/012028
Subject(s) - agroecology , agriculture , quality (philosophy) , computer science , metadata , control (management) , production (economics) , measure (data warehouse) , industrial engineering , data mining , engineering , artificial intelligence , ecology , macroeconomics , economics , philosophy , epistemology , biology , operating system
This article presents Research on the design and application of a model that allows controlling agroecological variables and conditions based on inductive-deductive methods supported by qualitative and quantitative tools such as metadata, trend tools and comparison graphs. This Model represents the knowledge of the farmer in a different kind of applications that allows the continued progress of the agriculture. The model has been tested with some agricultural, plant and animal species in controlled in real environments, where the quality of the cultivated species can be measured to determine improvements in nutritional quality, this measure is made by sensors of temperature, pH, lumens and humidity then we have a mathematical model that allows the simulation of the variables that we want to control that includes monitoring and control times. From here, concepts of agriculture 4.0 are associated, which consists in mitigating the risk in different in the environments. Currently, the integration of concepts and technologies associated with the fourth industrial revolution is evaluated through the simulation of variables and comparison between ideal and real models.