The report is
based on the proper analysis to implement precision agriculture technology for
the improvement of productivity and an increase in the efficiency of soil
nutrient management. Precision agriculture is not most likely to use to buy
every northern European country and grassland system that would help in
production and environmental benefits that could be attained with the adoption
of technology. These approaches could also helpful to soil and nutrient
management. More application of nitrogen and phosphorus in agricultural land is
used from the previous several decades and it is also contributed appreciably
that it helps overcome the gas a million. Agriculture is responsible for 28% of
gas immediately and it is also used to improve the efficiency of nutrient
management on farms and could be achieved. The status of waterways and lakes is
necessary to improve agricultural production. The decrease of the new trends
from agricultural soil could be a great loss as it could not take action in
different development and fertilizers and artificial fertilizers could deduce
the new trends, places in soil with the nitrogen and phosphorus could also
lose. Therefore, precision agriculture approach is helpful for the management
that could potentially improve the efficiency of nutrient management, and it
could increase production by decreasing the environmental impact on the soil.
Technology is growing rapidly and many new soils and crop sensor is adopting new
technology for the navigation devices to sensing the different technology in
the soil. Practically that could be helpful to provide cost benefits and other
consequences that would be helpful by adopting precision agriculture management
in the grassland.
agriculture technology is potentially used to improve the fertility of soil
management, and it is also research into that two major elements are used in
the development. It focuses on the new relationship between phosphorus,
nitrogen, and potassium that would be considered basic contents of soil for the
growth and productivity of plants. No artificial treatments are applied in the
fields and it is designed that it addressed the expectation of producers and
their different researchers to adequately describe the new trends of soil with
the traditional method. Different treatments are applied on across the field,
and it could also result in high productivity and variable rate of
fertilization. GDP contribution of agriculture department is based on 8.2% and it is accounted for 34.6% of total
utilization of agriculture methods. In the highest percentage in the 46.6%
growth as well as the intensive dairy farming and another agriculture system
within the Malaysia based on the support of grass growing season. So
infertility is based on temperature and it required moderate and temperature
with sufficient rainfall. It is considered that as compared to other countries,
the adoption rate in these areas were specifically the main growing areas of
Malaysia must be based on the large size and where grass business approach is maximizing
to profitability from the agriculture feed and it includes high investment
capital and agricultural education (Higgins, Schellberg, & Bailey., 2019).
Growth of grass
and utilization of agriculture technology across the field of different areas
of Malaysia is necessary to implement. Nutrient management is considered an
optimal resource to get excessive soil force and concentration on different
issues. Agriculture sector in Malaysia is divided into two main heads, rubber
and palm oil trees that contribute in GDP of Malaysia. The optimal level of phosphorus is used to
reduce the slime and it is also considered that it introduced the technology
owner grassland farms that would help implement sensible specific management
and new trends that could increase the productivity and reduce the
environmental impact on livestock farming. Precision agriculture technology
across land farmers is considered low and it is still relatively low used by
farmers specifically in Europe. It is also considered a difficult task to
install with the rapidly growing use of advanced technology and research
investment in the agriculture field; there are a series of soil sensor
technology that is used to monitor the growth and productivity of soil that is
considered a basic movement in the research about technology implementation on
the soil to improve the productivity (Hedley., 2015).
analysis for precision agriculture
The analysis of
soil shows that potassium, phosphorus, and nitrogen nutrients in the soil are complex
and the variability of different patterns is also based on a different field.
It is based on the reason of variability on large scale and different on
smaller scales and it includes the type of soil, landscape characteristics,
previous crops, and proximity to create variation is also considered a major
component that could impact the fertility and nutrients of the soil. Practices
show that fertilization is a manual application that could create variability
on large scale, and it could also provide variations in phosphorus, potassium,
and nitrogen to distribute the soil type and also landscape characteristics
that would not be usually based on the distribution of soil type. In several
fields, the variability in many acres is considered similar to 100 square feet (Jin & Jiang, 2002). It shows that
attempts to find optimum soil sampling is based on a crossing a very large
analysis and it shows that different producer could get a different output use
that no general rule is implemented and nutrients supply is also based on
sampling by soil type and it is useful to make economic sense.
is responsible for the reduction in gas emission and it is a set of the target
to achieve 80% reduction in gas emission. Long-term nutrients, specifically
nitrogen and phosphorus, are also transferred. These new trends in the
agricultural land provide a single cause of the lack of nutrients in the soil.
The implementation of different nutrients levels on the soil mapping could
provide largely overestimates of nutrients that could reduce the cell area and
increase productivity. This method is considered flexible and it could be
adopted with different characteristics. Digitalization of soil map test, data
yields Maps and other digital improvement and technology also helpful to plan
the efficient resources on that soil. The observation could be considered
feasible for the analysis of soil to produce and not to describe the variation
in different soil nutrients, and it provides proper, traditional recommended
methods that could always be comprised to get economic feasibility. It could
improve with potassium, nitrogen, and phosphorus level that would be a
successful recommendation for the fertilizers to improve the nutrients in the
soil (Liaghat & Balasundram, 2010).
agriculture is a method that is applied by nutrients in the quantities to match
the requirement of crops that could be changed in different fields. It could be
used to increase the potential production and reduce the nutrient surplus and
efficiencies that could reduce the environmental impact. It has great chances
to implement precision agriculture technologies in recent years, and it could
also implement these technologies with the trade-in recent agriculture system.
Technology would be successful as it required creating the decision-making on
farms and it is affordable to use to provide cost benefits through an increase
in average and see and hear it now for saving fertilizers and use of energy. It
is useful to monitor the large area of plants at the time of crop and various
stages of development (Khosla., 2010). Grassland vegetation features such as
standing biomass characteristics, biomass production, and height of crops are
also based on the quality of soil and it is mapped with the proper technology
or food precision agriculture. It maintains a good relationship that is found
in yield and the precision agriculture technology that provides key monitoring
periods and also imagines data on collection. Different sensors are most likely
to use and covered the land classification and purpose of land covered that
could change the mapping and manage the grassland that is helpful to provide
imaginary productivity and increase. The resolution of the soil improves the
performance while crops are standing on the soil (Davatgar, Neishabouri, & Sepaskhah, 2012).
vehicles (UAV) provide a proper platform that is rapidly growing, good sensor
technology, and also permits the imagery field of produced that would help in
using a range of works. Multispectral sensors would be helpful to cover
wavelengths with the visible to thermal system. With the implementation of UAV,
it is beneficial because it overcomes the hydrants between the imagery taken
facilities, and also low cost of UAV is implemented as the potential
application with grass plant environment is specifically based on covering the
prominent cloud. There is a large range of soil and crop sensor that is
available and not yet been used in the grass and farming system. It includes
different soil, sensor, and soil dictators and metrological devices such as
thermometers and hygrometers that are used to qualify the physiological status
of crops (Banu., 2015).
It could analyze nitrogen and phosphorus map and also electrical conductivity
of service surface that would provide proper information about sub soils
automatic measurement of soil variable is difficult to attain, therefore the
use of these measures is also considered a great alternative. Electromagnetic
induction EMI is also used for scanning and it is considered a direct
electrical method in the ground that is used to reflect the soil spectral and
it could be useful information about soil. The number of combination factors
could be variable and inconsistent. Therefore upload problems could attain for the
data and interpretation. Therefore it is useful that these data would be depending
on the side and also provide with big advantage to EMI to make its ideal tool.
Precision agriculture tools such as EMI scanning could also replace with
traditional soil sampling, and it could also reduce the labor cost by providing
more focus and land survey.
of yield Maps
considered that the variation in nutrients level could also explain the yield
variability in every field, but it could be learned that provide a comparison
of different layers of information. Statistical observation of Maps of soil
test values explained that there is variability in each field and it could be
explained with the measurement of the fertility of the soil. It could be
expected that the cross shield could influence a variety of factors, and it
could also measure that provide proper information about the fields and the
high nutrients variables that are necessary to improve the yield of farms. Some
soil also increases productivity with the implementation of different
artificial use of technology, and it could be normally measured that the producer
shows a correlation with the productivity and use of resources that could lead
towards the wrong results. Nutrients could be improved with the use of
technology and precision. Agriculture technology is considered better to
improve the yield and it is based on certainty, treatments, and fertilization
that are used to improve productivity. This concept could provide efforts in
the development of a better method that could improve the nutrients management
practice in the field (Kaushal & Wani., 2017).
results that precision agriculture technology could be successful to adopt in
the field and also consider that the alternative management practice could have
benefits for the field as well as also have some disadvantages that could treat
with streets and replicated across the field with waving large use of cranes.
It uses sampling and differential global position system and monitoring the
data that would provide your graphical information system and each allows a
more detailed evaluation of treatment with different parts of a field and
estimating the interaction between response to fertilization. A minimum set of
quality control methods could be forward to improve the productivity and reduce
the errors in the programs, and it would also monitor the productivity of field
and effects, the treatment that could be compared with inappropriate methods. It
must focus on the valid conclusion that provides different treatments between
the implementation of precision agriculture technology in fields and districts
and only treatment would be considered that is independently used with the
length and width of strips used in the field.
to adopting precision agriculture technology
contemporary era, technology use is common and there is a certain amount of
risk that is involved in the implementation of precision agriculture
technology. Although it is considered that technology development has been
rapidly growing and it has a lot of benefits but in the grassland environment
it is similar to a different region and field sizes that tend to be small. It
is difficult for the machinery to implement such variable-rate fertilizers applicators
that could implement on a small field. It could be considered a greater
difficulty in handling precision agriculture technology. Grassland fields are
required to be in heterogenic units, and both soil properties and gross yields
are right directly related to each other. Therefore phosphorus and nitrogen
level must vary in each soil field, and such variability must be based on some
variable so that fertilizer management could implement own specific zones at a
large level. Many farms considered that are run by family enterprises and it is
considered that farming is the only part-time occupation (Bah, Balasundram, & Husni, 2012). In this situation,
it is considered that only limited finance is available to implement new
technologies, and specifically, it is considered that it make sure benefits for
the success of this approach. People utilized fewer resources and budget and
the current generation of farmers is also having a lack of budget. Therefore
you technology development is not implemented and deformers are not available
about the installation of a precision agriculture technology. It is an
expensive and difficult task until currently there are a lot of financial
barriers that could implement difficulty for the farmers to adopt precision
analysis of the use of precision agriculture technology in the grassland field,
it is recommended valid for all kinds of the field as the variability of soil
nutrients is specifically and ideally should be sampled according to the
fertilizers differentiated. This information is estimated for beneficial for
the sampling of soil and fertilization that is required to implement in each
field. Intensive grid soil sampling is also used to get results in significant
economic benefits that provide variation in the field in such as a large proportion
of the field to test the optimum use of resources. It is considered a
reasonable alternative that is used to available fields and also improves the
traditional methods to conduct cost-effective sampling in the field. This
approach would be helpful to increase the economic benefit through the former,
and it also exploits their potential rules of new position technologies (Kumar & Ilango., 2018).
agriculture technology could be used to evaluate and show the alternative
virtualization and management practice that would be helpful to improve
productivity. This method could be helpful for new research and recommendations
for the local condition to understand the variability in the field and also
produce better output. Farmers should interpret the precautions in Maps and it could
be answered with the certain fertilization treatment that is being used. They
could use variation observed with the nutrient deficiencies and also interact
with the fertilization that would be helpful to provide possible results not to
produce replicating comparison in the field but also hope used preliminary
methods to make a minimum set of quality and controls procedures that must be
followed to reduce the errors. It should be based on the completion of ongoing results
and producers could follow these methods to improve productivity in the field (Ge, Thomasson, & Sui., 2011).
agriculture technology is helpful for the farmers to improve the productivity
as it improves the level of nitrogen, phosphorus, and potassium in the soil and
improve the productivity of soil to make better fertilization and improve the
nutrients management in the soil. With the increased level of nutrients
management, it is helpful for the soil to improve productivity and to give
better results after fertilizing crops. Farmers have huge pressure to increase
the efficiency of production and they not only produce more with less but also
to make sure that they are gaining environmental systems inability and also
considered to improve the efficiency of production to fulfill the requirement
of their enterprises. Managing the subfield skills to make feasible and several
potential implementations, different methods that are improving crop and reducing
the input and cost of cropping that would be helpful for the former to meet the
requirements of environmental legislation. Precision agriculture technology
would be helpful to evolve rapidly and it could increase the real-time
application of fertilization. It could provide investment to and it could
assess the feasibility practically as cost benefits and environmental
consequences also helpful to adopt precision agriculture management to
nutrients in the grasslands system across the Europe and world (Seelan, Laguette, Casady, & Seielstad., 2003).
It is also
considered that precision agriculture technology is adopted with a lot of
resources and required a lot of effort from producers to install the
technology. But it also has a lot of benefits that could provide the
opportunity to improve the production and ability to make an increase in the
yield of crops. A lot of barriers could be reduced with the implementation of this
technology and it would be helpful to improve the ability of yield of fields to
improve the productivity. Precision technology is based on a new and innovative
method of cropping and it could also improve the efficiency of farmers as well
as the efficiency of soil that could improve the benefits and also productivity
of the field. In nutshell, it could be said that precision agriculture
technology is difficult to install and farmers could not use it but it is
helpful for the farmers to improve the fertilization of soil and improve the
nutrients management of soil that would be helpful to increase the productivity
of the soil.
Bah, A., Balasundram, S. K., & Husni, M. H. (2012).
Sensor technologies for precision soil nutrient management and
monitoring.". American Journal of Agricultural and Biological Sciences,
7 (1), 43-49.
Banu., S. (2015). "Precision agriculture: tomorrow's
technology for today's farmer.". Journal of Food Processing &
Technology , 6 (8), 1.
Davatgar, N., Neishabouri, M. R., & Sepaskhah, A. R.
(2012). Delineation of site-specific nutrient management zones for a paddy
cultivated area based on soil fertility using fuzzy clustering.". Geoderma
, 173, 111-118.
Ge, Y., Thomasson, J. A., & Sui., R. (2011). Remote
sensing of soil properties in precision agriculture: A review.". Frontiers
of Earth Science, 5 (3), 229-238.
Hedley., C. (2015). "The role of precision agriculture
for improved nutrient management on farms.". Journal of the Science of
Food and Agriculture, 95 (1), 12-19.
Higgins, S., Schellberg, J., & Bailey., J. S. (2019).
Improving productivity and increasing the efficiency of soil nutrient
management on grassland farms in the UK and Ireland using precision agriculture
technology.". European Journal of Agronomy, 106, 67-74.
Jin, J., & Jiang, C. (2002). "Spatial variability of
soil nutrients and site-specific nutrient management in PR China. Computers
and Electronics in Agriculture, 36 (2-3), 165-172.
Kaushal, M., & Wani., S. P. (2017). Nanosensors:
frontiers in precision agriculture.". In Nanotechnology, pp. 279-291.
Khosla., R. (2010). Precision agriculture: challenges and
opportunities in a flat world.". In 19th World Congress of Soil
Science, Soil Solutions for a Changing World, Brisbane, Australia.
Kumar, S. A., & Ilango., P. (2018). "The impact of a
wireless sensor network in the field of precision agriculture: A review.".
Wireless Personal Communications, 98 (1), 685-698.
Liaghat, S., & Balasundram, S. K. (2010). A review: The
role of remote sensing in precision agriculture.". American journal of
agricultural and biological sciences, 5 (1), 50-55.
Seelan, S. K., Laguette, S., Casady, G. M., & Seielstad.,
G. A. (2003). Remote sensing applications for precision agriculture: A learning
community approach.". Remote sensing of environment, 88 (1-2),