Study of the Feasibility of Expanding the Open Et Platform in Mexico

Abstract

Improving crop water use efficiency is a key component in addressing the growing global demand for water. The determination of the water requirement of a crop at the precise time and the knowledge of its spatial variability are fundamental when carrying out a good management of the water resource of an agricultural area. Currently there are commercial offers on the Internet for processing high volumes of images with the advantage of not having to download the images to the computer, avoiding the saturation of our computer equipment and saving time in computer processes. In other Latin American countries these intelligent irrigation systems have been successfully applied. For example, the Argentine start-up company KILIMO, which provides advice on irrigation management and recommendation of strategies to each farmer and plot, based on periodic analysis of the soil condition to determine the water balance. Another example is located in Guatemala where IDB Lab, a laboratory that is part of the IDB Group (Inter-American Development Bank) has provided resources to implement a “climate-smart agriculture” system. This strategy includes technologies such as polymers for agricultural use, such as rain gauges and other meteorological variable sensors, to be applied to small and medium-scale agricultural systems and thus take advantage of the fertility of volcanic soils