Received:
2019-11-18 | Accepted:
2020-04-25 | Published:
2020-06-30
Title
Sustainable development of crop production with elements of precision agriculture in Northern Kazakhstan
Abstract
The Agricultural Experimental Station «Zarechnoye» LLP (AES «Zarechnoye» LLP, Kostanay region, Kazakhstan) has always been the initiator of introduction and dissemination of advanced innovative technologies; in this regard, the agriculture has been identified as the basis for the introduction of digitalization elements, i.e. precision agriculture. The use of elements of the precision agriculture system by the AES «Zarechnoye» LLP, the use of modern technology equipped with an automatic driving system, a differential fertilizer application system and plant protection products ensured a guaranteed yield with high technological indicators in an extremely arid year. The obtained yield level of grain crops exceeded the average regional level by 79.7%. An economic model for the introduction of precision agriculture elements for the farm «Agrofirma Karkyn» LLP with medium technical equipment, indicating the costs of applying the developed technologies per 1 ha, was built. The analysis of economic return was carried out as a result of increased productivity with indicating the payback period. The production and economic indicators of the surveyed farm in the Kostanay region, obtained as a result of constructing financial and economic models taking into account the introduction of precision agriculture elements, are presented. Based on the constructed financial and economic models, the calculations showed that the introduction of precision agriculture elements will reduce production costs for wheat growing to 1.6 thousand tenge per 1 ha of cultivated area, or 4% of all production costs. The payback period for simulated improvements in the implementation of precision agriculture elements for the farm, while maintaining the current processing area, will be 4.4 years. The data obtained during the study can be used by agricultural producers to develop measures to increase productivity and reduce the cost of production, as well as by government agencies to improve measures of state support and regulation in the field of agriculture, aimed at digitalization, the introduction of precision agriculture elements and increasing the competitiveness of agricultural production.
Keywords
precision agriculture, crop management, IT-technologies, information systems, electronic field map, agrochemical field inspection, efficiency, comparative analysis, economic implementation model
JEL classifications
Q16
, Q30
URI
http://jssidoi.org/jesi/article/580
DOI
Pages
3200-3214
Funding
This article has been prepared based on the results of the research conducted as part of the scientific and technical programme No. BR06349568 «Transfer and adaptation of precision agriculture technologies for crop production on the principle of «demonstration farms (testing areas)» in the Kostanay region», funded by the Ministry of Agriculture of the Republic of Kazakhstan for 2018-2020.
This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License
References
Abuova, A.B., Tulkubayeva, S.A., Tulayev, V.Y., Somova, S.V., Tashmukhamedov, M.B. (2019). The technology of cultivating agricultural crops based on ortho photomaps, digital and 3-D surface models. International Journal of Engineering and Advanced Technology, 8(4), 775-778.
Search via ReFindit
Agriculture, forestry and fisheries in the Republic of Kazakhstan. Statistical compilation. Astana, 2013. 217 p.
Search via ReFindit
Allahyari, M., Mohammadzadeh, M., Nastis, S. (2016). Agricultural experts’ attitude towards precision agriculture: Evidence from Guilan Agricultural Organization, Northern Iran. Information Processing in Agriculture, 3(3), 183-189.
Search via ReFindit
Baerdemaeker, J.D. (2013). Precision agriculture technology and robotics for good agricultural practices. IFAC Proceedings. Volume 46. pp.1-4.
Search via ReFindit
Bikbulatova, G.G. (2008). Precision agriculture technology. Omsk Scientific Bulletin. Omsk: Omsk State Technical University. 2, 45-59.
Search via ReFindit
Catalog of tractor factories, manufacturers of tractor equipment [Electronic resource], Russian tractor server Screen title. http://www.traktor.ru
Search via ReFindit
Far, S.T., Rezaei-Moghaddam, K. (2018). Impacts of the precision agricultural technologies in Iran: An analysis experts' perception & their determinants. Information Processing in Agriculture, 5(1), 173-184.
Search via ReFindit
Galeev, E.I., Ishbulatov, M.G. (2019). The role of cartography for precision agriculture. Bulletin of the Bashkir State Agrarian University. Ufa: Bashkir State Agrarian University, 2 (50), 21-26.
Search via ReFindit
Genrikh, A.A., Myalo, V.V., Demchuk, E.V. (2018). Precision agriculture. Scientific innovations to agricultural production: materials of the International scientific-practical conference dedicated to the 100th anniversary of the Omsk State Agrarian University. Omsk: P.A. Stolypin Omsk State Agrarian University, pp.103-106.
Search via ReFindit
Goltyapin, V.Ya. (2013). Systems of parallel driving of machine-tractor units. Technique and equipment for the village, 11, 12-14.
Search via ReFindit
Higgins, V., Bryant, M., Howell, A., Battersby, J. (2017). Ordering adoption: Materiality, knowledge and farmer engagement with precision agriculture technologies. Journal of Rural Studies, 55, 193-202.
Search via ReFindit
Hmiminaa, G. et al. (2013). Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements. Remote Sensing of Environment, 132, 145-158.
Search via ReFindit
Kurishbaev, A.K., Nukeshev, S.O. (2012). Prospects for the technology of differentiated use of mineral fertilizers in the conditions of Northern Kazakhstan. Integrated development of rural territories and innovative technologies in the agricultural sector: Materials of an international conference. Novosibirsk, pp.181-185.
Search via ReFindit
Leonard, E.C. (2016). Precision Agriculture. Encyclopaedia of Food Grains (Second Edition). Volume 4, 162-167.
Search via ReFindit
Lichman, G.I., Smirnov, I.G., Lichman, A.A., Belenkov, A.I. (2016). Fundamental and applied research in precision agriculture: main directions. Niva Russia, 9, 74-76.
Search via ReFindit
Lyubchich, V.A., Kuramshin, M.R. (2013). The use of telematic terminals for monitoring agricultural machinery in precision agriculture. Niva Zauralye, 6(106), 62-64.
Search via ReFindit
Maes, W.H., Steppe, K. (2019). Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture. Trends in Plant Science, 24(2), 152-164.
Search via ReFindit
Mitrofanov, E.P., Petrushin, A.F., Mitrofanova, O.A. (2018). The use of aerial photography data to justify precision agricultural practices for the use of agrochemicals. Materials of the 2nd All-Russian scientific conference with international participation «The use of Earth remote sensing in agriculture». – St. Petersburg: FSBIU AFI, 197-202.
Search via ReFindit
Nukeshev, S., Dzhadyger, E., Karaivanov, D. (2014). Determination of parameters of the main distributor for fertilizer applying machine. Bulgarian Journal of Agricultural Science, 20(6), 1513-1521.
Search via ReFindit
Nukeshev, S.O., Yeskhozhin, D.Z., Romanyuk, N.N., Akhmetov, E.S., Yeskhozhin, K.D., Zolotukhin, E.A., Tleumbetov, K.M. (2015). Some results of experimental studies of the metering system of a grain-fertilizer machine with a control and management unit. Vestnik Nauki KATU im. S.Seifullina (interdisciplinary), 1(84), 198-208.
Search via ReFindit
Pestunov, I.A., Melnikov, P.V., Rylov, S.A. (2018). Automated assessment of crop seedlings from survey data from unmanned aerial vehicles. Materials of the 2nd All-Russian Scientific Conference with international participation «The use of Earth remote sensing in agriculture». St. Petersburg: FSBIU AFI, pp.253-260.
Search via ReFindit
Polshakova, N.V. (2017). Food sovereignty of Russia: prospects for the introduction of precision agriculture technologies in adaptive-landscape agriculture systems // Collection of articles of the 7th International Scientific and Practical Conference: in 2 parts. Penza: Science and Enlightenment, pp.186-188.
Search via ReFindit
Sharapov, I.V., Pronin, S.P. (2014). Methods of optical control of the yield of local sections of the field in precision agriculture. Polzunovsky Almanac. Barnaul: I.I. Polzunov Altai State Technical University, 1, 166-169.
Search via ReFindit
Shilova, N.V. (2014). On the need to introduce a precision agriculture system in grain production. Models, systems, networks in economics, technology, nature and society. Penza: Penza State University, 4(12), 93-98.
Search via ReFindit
Shpaar, D. et al. (2009). Precision Agriculture / Edited by D. Shpaar, A.V. Zakharenko, V.P. Yakusheva. St. Petersburg: Pushkin. 397 p.
Search via ReFindit
Spitkó, T., Nagy, Z., Zsubori, Z.T., Szőke, C. еt al. (2016). Connection between normalized difference vegetation index and yield in maize. Plant Soil Environment, 62(7), 293-298. doi: 10.17221/676/2015-PSE.
Search via ReFindit
Srivastava, K., Bhutoria, A.J., Sharma, J.K., Sinha, A., Pandey P.C. (2019). UAVs technology for the development of GUI based application for precision agriculture and environmental research. Remote Sensing Applications: Society and Environment. Volume 16. Article 100258.
Search via ReFindit
Sychev, V.G. (2011). Information and technological support of precision agriculture / V.G. Sychev, R.A. Afanasyev, A.Yu. Izmailov et al. Plodorodie (3), 44-47.
Search via ReFindit
Truflyak, E.V. (2016). Experience in the application of precision agriculture systems / E.V. Truflyak. – Krasnodar: KubSAU. – 22 p.
Search via ReFindit
Truflyak, E.V., Trubilin, E.I. (2016). Intelligent technical means of agriculture. – Krasnodar: KubSAU. – 266 p.
Search via ReFindit
Truflyak, E.V., Trubilin, E.I., Buksman, V.E., Sidorenko, S.M. (2015). Precision Agriculture. – Krasnodar: KubSAU. – 376 p.
Search via ReFindit
Tugarinov, L.V., Zherebin, P.M., Petrushin, A.F., Muntyan, A.N. (2018). Prospects for field experiments on the introduction of crop correction tools using data from Earth remote sensing. Materials of the 2nd All-Russian scientific conference with international participation «The use of Earth remote sensing in agriculture». St. Petersburg: FSBIU AFI, pp.209-213.
Search via ReFindit
Yakushev, V.P. (2002). On the way to precision agriculture. St. Petersburg: PNPI RAS. 458 p.
Search via ReFindit
Yakushev, V.P. (2007). Information support of precision agriculture / V.P. Yakushev, V.V. Yakushev. St. Petersburg: PNPI RAS. 382 p.
Search via ReFindit