Mathematical modelling for precisely improving inputs supply for crop production
¹Campus San Luis Potosí, Colegio de Postgraduados, Iturbide No. 73, Salinas de Hgo., S.L.P.,C.P. 78600. México. e-mail: email@example.com
²Campus Cordoba, Colegio de Postgraduados, km 348, Carr. Fed. Córdoba-Veracruz, Córdoba,Veracruz, C.P. 94500, México. firstname.lastname@example.org
³Institute for Farm Animals Sciences and Technology. University of Rostock, Justus-von-LiebigWeg 8, 18059 Rostock, Germany; e-mail: email@example.com
Although farm size may make a difference in access to all precision agriculture techniques, farms including small-scale traditional crop cultivation will likely have access to some of them in the long term. For this farm sector, a mathematical model is being developed to assist decision-making for improved dosage of nutrients and pesticides for crops or feed for animals. The objective was to find out the maximum allowed permissible deficiencies in dosing of inputs compared with the number of repetitions for improving precision dosage each time it is spread to the field. The model is based on a number of specified repetitions and it calculates the amount of deficiency to be obtained. It is possible to find that, depending on the rate of application, there is a wide range of choices among different fertilizer formulae and their concentration of available nutrients. The higher the number of applications, the more precision could be achieved. This will make it possible to arrive at optimum application rates for each field point or for supplying a more precise rate of feed to the animals.