International Journal of Horticulture, 2017, Vol.7, No. 10, 75-81
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confirmed that the less precise and lower cost GPS can be used to map yield. In the future, the yield mapping
system can be used to assess the causes of yield variability and field workers performance.
The low profitability of grass production is largely due to the indiscriminate use of nitrogenous fertilizers, which
adversely affects the environment and the farmer's economy. There are technologies such as hand sensors (eg,
GreenSeeker) and spatial photographs that allow the identification of plant fertilization needs by means of the
green index. There are also unmanned aerial vehicles, which capture large tracts of land in an aerial image, with
the advantage of selecting the capture date and not being affected by the weather. Due to the above, (Aguilera et
al., 2014) carried out a research work whose objective was to correlate the green index obtained with an aerial
image and the GreenSeeker sensor. A plot of barley was established for calibration and validation, in which aerial
photography was taken and measurements were made with the GreenSeeker sensor for the autumn-winter cycle
2013. An experimental design of a complete randomized block with three replicates was used. The best
correlation of data showed an R2 of 0.9685 and was obtained with the GNDVI, which indicates that the analysis
of the vegetation index can be obtained satisfactorily by means of aerial photography, thus saving time, material
and human resources.
The indiscriminate use of nitrogen fertilizers negatively affects the environment and economy of the farmer. There
are hand sensors and space images that diagnoses needs in grasses. However, Unmanned Aerial Vehicles capture
large areas in an aerial image, and allow to select the capturing date and without problem of weather. The aim of
this study was to employ an UAV to obtain multispectral aerial imagery that allow to generate nitrogen dose
recommendations. Two plots were stablished for calibration and validation, one of barley for A-W 2013 cycle and
another of corn for S-S 2014 cycle. In those plots aerial images were taken (multispectral cameras IXUS and S110)
and measurements were performed with the GreenSeekerTM sensor. In barley was used an experimental design of
randomized complete block with three replications. The experimental design for the case of maize was completely
random. The results of the statistical analysis ( p < 0.05) and linear regression between the measurements with the
GreenSeekerTM and vegetation greenness index obtained from images indicated that it is possible to generate
nitrogen recommendations from aerial images (Saldaña et al., 2016).
3.1.2 Education
In the Antonio Narro Agrarian Autonomous exist the course precision farming machinery, at the University of
Guanajuato and Chapingo University the course named the precision agriculture. In the National Autonomus
University of Mexico exist the course Remote Sensing Applied to Agriculture.
4 Discussion
In large scale farming, sofhisticated technologies often based on crop sensors,global positioningsystems, or
remote sensing are being developed and jused to carry out precision agriculture,computer are one options for
accesing decision tools provided either via internet.But computers are not always readly accesible by small scale
farmers.Web-based mobile phones with internet access provide another option.
In Mexico it is urgent that precision agriculture techniques due to the fact the pressure for food production, and
the desperate situation of small farmers to apply, although there is the pretext that the machinery and equipment
used in this technology is too expensive exists the possibility of using smart phones in the country because there is
a growth of 52.6 million smartphones in 2014.(Alvarez, 2015)Likewise, so it is feasible to use drones Unmanned
Aircraft Systems (Anonymous, 2014).Since the country already exists company that manufactures the equipment
so that eventually increases the usability of these increasingly larger amount.
Exist the International Society of Precision Agriculture (ISPA) is a non-profit professional scientific organization.
The countries represented Argentina, Australia, Botswana, Brazil, Canada, Chile, China, Malasya, NewZealand,
Norwa, Nigeria, Pakistan, Poland, Russia, Egypto, SaudiArabia, Finland, SouthAfrica, France, South,Korea,
Germany, Spain, Ghana, Sweden, India, Turkey, Iran, Ukraine, Israel,Uruguay,Italy,United States,Kenya,United
Kingdom.But in Mexico there is no interest from researchers so we are not given due importance to this
