Photosynthetically active radiation (PAR) is a vital parameter for various applications such as the study of plant physiology or greenhouse lighting. Since instruments for direct PAR measuring are very specific and have less accessibility compared to radiometric or photometric instruments, PAR is often estimated through empirical models that use meteorological parameters that describe the sky conditions as input data. Although it can be estimated through empirical models, these estimations are carried out only in a few areas of interest, for example, some areas of China and the Mediterranean basin, while in some agricultural areas of interest of North America the estimation of such radiation is scarce, being an example of this the Mexican Northern Plateau, which is a region with large agricultural production. In this work, the information obtained in different meteorological stations distributed within the Mexican Northern Plateau is used to assess several empirical models reported in the literature in order to know the behavior of PAR in this area. The performance validation of the models is done using statistical analysis of the Qp/Rsratios at noon and the monthly mean values of Qp obtained from each of the meteorological stations. The models used for its implementation were developed in various geographic areas along the planet, and based on the results obtained they are classified according to their performance to predict PAR within the study area.
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