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Improving productivity and increasing the efficiency of soil nutrient management using precision agriculture technology

Category: Business & Management Paper Type: Report Writing Reference: APA Words: 3323

Frontiers | A Research Road Map for Responsible Use of Agricultural  Nitrogen | Sustainable Food Systems


Executive summary

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.

Introduction

Precision 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).

Soil 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.

Precision Agriculture 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).

Precision agriculture

Precision 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).

Unmanned aerial 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.

Interpretation of yield Maps

Farmers 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).

It provided 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.

Barriers to adopting precision agriculture technology

In the 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 agriculture technology.

Recommendations

After the 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).

Physician 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).

Conclusion

Precision 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.

References

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. Springer, Singapore,

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), 157-169.

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