Assessment of the ecological and agrochemical condition of agricultural lands based on automated soil sampling

Authors

  • O. Hryshchenko State Institution “Institute for Soil Protection of Ukraine”
  • Ye. Butenko National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • V. Gryshchenko National University of Life and Environmental Sciences of Ukraine image/svg+xml , State Institution "DERZHGRUNTOKHORONA"
  • V. Bozhok National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • D. Vynnyk National University of Life and Environmental Sciences of Ukraine image/svg+xml

DOI:

https://doi.org/10.31548/zemleustriy2026.02.010

Keywords:

soil, ecological and agrochemical assessment, automated soil sampling, Bodenprobenehmer N2006, agrochemical indicators, heavy metals, military impact, precision farming

Abstract

The article assesses the ecological and agrochemical condition of agricultural lands using the automated soil sampling system Bodenprobenehmer N2006. The relevance of applying automated soil monitoring technologies under conditions of intensified agricultural production, the development of precision farming, and the necessity to evaluate lands affected by military impacts is substantiated.

The study was conducted on a land plot covering 279.4 hectares located outside the village of Bryhadyrivka, Izium Territorial Community, Izium District, Kharkiv Region, Ukraine. To assess the condition of the soil cover, 60 composite samples were collected from the 0–30 cm arable layer, with the territory divided into elementary plots of up to 5 hectares each.

Laboratory analyses included the determination of the main agrochemical and ecological-toxicological soil indicators, particularly soil solution reaction (pH), humus content, easily hydrolyzable nitrogen, mobile phosphorus and potassium compounds, micronutrients, and heavy metals. Statistical processing of the results involved calculating weighted average values, variation ranges, and coefficients of variation.

The soils of the studied area were found to be characterized by a near-neutral soil reaction and high humus content, indicating the preservation of their natural fertility potential. At the same time, an imbalance in certain agrochemical indicators was identified, including low availability of easily hydrolyzable nitrogen, very low content of mobile zinc compounds, and low manganese content. The ecological-toxicological assessment revealed an increased concentration of mobile cadmium compounds across a significant part of the study area, as well as slight and moderate levels of lead contamination within certain elementary plots.

The obtained results indicate the spatial heterogeneity of agrochemical and toxicological indicators, which may be associated both with the natural mosaic structure of the soil cover and with localized military-technogenic impacts. The expediency of using automated soil sampling systems for developing electronic maps of soil indicators, monitoring contamination, planning reclamation measures, and implementing precision farming elements is substantiated.

Received: 20.04.2026;
Accepted: 14.05.2026

				

Author Biographies

  • O. Hryshchenko, State Institution “Institute for Soil Protection of Ukraine”

    Candidate of Agricultural Sciences

  • Ye. Butenko, National University of Life and Environmental Sciences of Ukraine
    Candidate of Economic Sciences, Associate Professor
  • V. Gryshchenko, National University of Life and Environmental Sciences of Ukraine, State Institution "DERZHGRUNTOKHORONA"
    student, leading specialist
  • V. Bozhok, National University of Life and Environmental Sciences of Ukraine
    student
  • D. Vynnyk, National University of Life and Environmental Sciences of Ukraine
    student

References

1. Dutchyn, M., & Ilkiv, Ye. (2015). Derzhavnyi zemelnyi kadastr: navchalnyi posibnyk [State land cadastre: A study guide] (pp. 117–118). Ivano-Frankivsk. Available at: https://files.library.nung.edu.ua/chytalnya/4830/index.html#p=1

2. Riznyk, S. V. (2014). Konstytutsiia Ukrainy [Constitution of Ukraine]. In I. M. Dziuba, A. I. Zhukovskyi, & M. H. Zhelezniak (Eds.), Entsyklopediia Suchasnoi Ukrainy [Encyclopedia of Modern Ukraine]. Institute of Encyclopedic Research of the NAS of Ukraine. Available at: https://esu.com.ua/article-5012

3. Muzychenko-Kozlovska, O. K., Danylovych, T., Havryliak, A., & Dziiurakh, Yu. (2022). Analizuvannia diialnosti systemy monitorynhu stanu gruntiv v Ukraini [Analysis of the activities of the soil condition monitoring system in Ukraine]. Journal of Soil Science, 25(53). DOI: https://doi.org/10.25264/2311-5149-2022-25(53

4. Nagirnyak, S. V., Dontsova, T. A., Lapinskyi, A. V., & Tereshkov, M. V. (2022). Soil and soil-air remote monitoring: A short review. Ecology and Noospherology. Available at: https://ecology.dp.ua/index.php/ECO/article/view/1063

5. STC “Agrokhimservis”. (2024). Metodyka provedennia ahrokhimichnoho obstezhennia gruntiv iz zastosuvanniam mekhanizovanykh probovidbirnykiv [Methodology for conducting agrochemical soil surveys using mechanized samplers]. Ministry of Agrarian Policy. Available at: https://agrohim.gov.ua/methods/sampling

6. Panas, R., & Malanchuk, M. S. (2013). Osoblyvosti bonituvannia tekhnohennykh gruntiv [Features of bonitation of technogenic soils]. Inzhenerna Heodeziia [Engineering Geodesy], (77), 74–80. Available at: https://science.lpnu.ua/uk/istcgcap/vsi-vypusky/vypusk-77-2013/osoblyvosti-bonituvannya-tehnogennyh-gruntiv

7. Petruk, Yu., & Artiukh, O. (2025). Innovatsiini pidkhody do zemlerobstva: avtomatyzatsiia i robotyzatsiia mashyno-traktornykh ahrehativ dlia optymizatsii vytrat ta zberezhennia gruntiv [Innovative approaches to agriculture: Automation and robotization of machine-tractor units to optimize costs and preserve soils]. Available at: https://eforum.lntu.edu.ua/index.php/jurnal-mbf/article/view/1741

8. Udovenko, I. O. (2017). Yakisne otsiniuvannia zemelnykh resursiv z metoiu vyznachennia tsinnosti pryrodnykh resursiv [Qualitative assessment of land resources to determine the value of natural resources]. In Ekolohichno bezpechne, vysokoproduktyvne vykorystannia gruntu ta zastosuvannia dobryv: Proceedings of the All-Ukrainian scientific-practical conference (pp. 109–110). Uman. Available at: http://lib.udau.edu.ua/handle/123456789/6323

9. Fedasyuk, D. V., & Kostiuk, M. O. (2024). Forecasting of soil moisture using machine learning in smart agriculture systems. Ukrainian Journal of Information Technology, 6(1). Available at: https://science.lpnu.ua/ujit/all-volumes-and-issues/volume-6-number-1/forecasting-soil-moisture-using-machine-learning-smart

10. Cherlinka, V. R., & Zakharovskyi, V. S. (2023). Directions of automatization for calculation of soil qualitative assessment. Agrochemical Soil Science Journal. Available at: https://agrochemsoilsci.org

11. Chornyi, S. (2018). Otsinka yakosti gruntiv: navchalnyi posibnyk [Soil quality assessment: A study guide]. Mykolaiv. Available at: https://dspace.mnau.edu.ua/jspui/bitstream/123456789/3259/1/Chornyj_Ocinka_jakosti_gruntiv.pdf

12. AgroGeo. (n.d.). Gruntovidbirnyk Nietfeld N2006 — avtomatyzovana systema vidboru zrazkiv gruntu [Nietfeld N2006 soil sampler — an automated soil sampling system]. Available at: https://www.agrogeo.com.ua/catalog/nietfeld-n2006-2

13. Cornell University. (2022). Machine learning for soil property prediction: Integrating satellite and field data. arXiv. Available at: https://arxiv.org/abs/2205.08391

14. Bodenprobetechnik Peters GmbH. (n.d.). Bodenprobenehmer N2006 – Soil sampling system. Available at: https://www.bodenprobetechnik.de/en/bodenprobenehmer-n2006

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Published

2026-06-30

Issue

Section

Land cadastre, land and real estate appraisal

How to Cite

Hryshchenko, O., Butenko, Y., Gryshchenko, V., Bozhok, V., & Vynnyk, D. (2026). Assessment of the ecological and agrochemical condition of agricultural lands based on automated soil sampling. Land Management, Cadastre and Land Monitoring, 2. https://doi.org/10.31548/zemleustriy2026.02.010