International Journal of Horticulture, 2017, Vol.7, No. 10, 75-81
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Tecnologico de Monterrey and Motorola have launched a joint project of precision agriculture in which first, you
think quantify the spatial and temporal variability of various environmental factors affecting the productivity of
alfalfa on irrigated systems by monitoring these factors through the systems of sensors in the ground and the
atmosphere, providing the technology available from Motorola. In addition, it is intended to evaluate and develop
new instrumentation and software to measure and analyze changes in the production of alfalfa, in response to the
phenological variability of the plant throughout its cycle, which is being evaluated for three years, starting in the
fall 2003. On the other hand, it seeks to determine the economic feasibility of the establishment of the components
used in precision agriculture, in order to make the technology available to more producers. Finally, it attempts to
develop an effective network for the transfer of technology among producers lecerne, which serve to disseminate
among other producers of fodder, and from there spread it to different cultures within society (Gutiérrez and
García, 2003).
As of 2010, the company Quetzal Aerospace, based in the Mexican state of Queretaro, began manufacturing
drones (drone). A little more than four years after its opening, the company has stated its intention to use these
airborne platforms to optimize the techniques of farmers, in order to promote the "precision agriculture" with the
support of specialists from the Center for Scientific Research and Higher of Ensenada Education (CICESE) was
detected that aerial unmanned platforms Quetzal Aerospace could be implemented to technological tasks applied
to agriculture, the company Quetzal Aerospace consolidation airlines unmanned platforms as a service arises. That
way, farmers can access these technologies without the need to purchase a drone or specific knowledge to operate,
at an affordable cost (Anonymous, 2014).
So there are the same two manufacturers of drones, one of those companies that has begun to appear on the
market is Unmanned Systems Technology International (USTI), thanks to his initiative may become the most
representative organization in this area.Located in the municipality of Apodaca, Nuevo Leon, the company is
originally from Nuevo Leon and started his sleep in late 2009. The other is is Dronetech SAPI de CV, a company
located in the city of Monterrey, Nuevo Leon and dedicated to production no manned aircraft developed by
Mexican human capital (Lara et al., 2015).
Precision agriculture is a new concept; with advanced tools such as tractors equipped with differential GPS, with a
margin error rates between 50 centimeters and one meter; normal browsers are accurate to within three meters,
while geodetic fail only a few millimeters or centimeters. As tractors roam the land, the terrain detected through
some additions that make soil analysis, a kind of mobile laboratory; located missing and which nutrients in the
required quantity dispensed.However, the price is extremely high, considered Ochoa Ibarra; the cost of the tractor
as well as GPS, computer, software and tools necessary to make measurements over a million Mexican pesos. In
Mexico, two tractors working only with those characteristics, one in Chihuahua and one in Sonora (Dávila, 2010).
The Graduate College developed for SAGARPA, through its deconcentrated Service Agrifood and Fisheries
Information (SIAP), the study "Development of a comprehensive model of GIS and soil information as the basis
for precision agriculture in sugarcane sugar. Stage I ". At this early stage the foundations of precision agriculture
the sugarcane field, benefiting more than 130,000 sugarcane growers spread across 15 federal institutions are
established. All this in coordination with other projects and institutions that participate in the Information System
of the Sugar Industry (SIAZUCAR) (Anonymous, 2010).
(Saldaña et al., 2006) develop a yield mapping system for vegetables. A harvest assistance equipment was
modified and instrumented to obtain yield maps. Instrumentation consisted in the implementation of a mass
accumulation rate measurement system, which was used to determine weight of harvested broccoli (Brassica et
al.), a sensor of distance travelled to determine harvested area and a Global Positioning System (GPS) to
determine position of harvested area within the field. Results found in evaluation purpose tests of the yield
mapping system showed an error of less than 2.69% in the weight data and 1.49% in the area data, whereas in
yield mapping tests, the system worked properly without interfering with the harvesting methodology employed
for field workers. Also, the comparison of yield maps obtained with the two GPSs of different precision,
