Monitoring and irrigation regime formation when growing crops using the "Irrigation Online" system

Keywords: remote sensing of the Earth, sprinkling, information system, operational irrigation planning, irri-gation management


The paper analyzes the results of the implementation of an information and analytical irrigation management system “Irrigation Online” that enables to quickly generate and provide the users with the information about the current and projected state of soil moisture. A set of soil survey works was performed including the analysis of available information on soil reclamation conditions and irrigated land use; visual soil survey with the identification of points for detailed soil survey; soil sampling and laboratory studies on particle size distribution, hydrophysical soil properties and formation of input data for irrigation management. The configured system of instrumental monitoring observations on moisture supply, current meteorological parameters, and actual irrigation terms and rates allows predicting more accurately irrigation terms and rates in the reference fields as well as making their daily correction. The method of point information dissemination on irrigation arrays using remote sensing data was developed. In the course of research satellite image data and plant reflectivity by the NDVI and NDWI indices along with their variability and spatial heterogeneity using the ArcGIS geoinformation system were analyzed. The use of remote sensing data expands the capabilities of the system in terms of data dissemination on the timing and irrigation rates in the fields, which are out of monitoring observations. The results of the use of the operational irrigation management system in production conditions are given. The achieved results were demonstrated while cultivating corn for grain and sunflower. It was proved that by applying the system “Irrigation Online" and keeping moisture supply in the optimal range the highest possible crop yield can be achieved in production conditions.


1. Romashchenko, M., Tarariko, Yu., Shatkovskyi, A., Saydak, R., Soroka, Yu. (2015). Scientific principles of the development of farming agriculture systems in the zone of Ukrainian Steppe. Bulletin of Agrarian Science, 10, 5-9. [in Ukrainian].
2. Production of cereal grains with iMetos® decision supporting system. (2022). Retrieved from
3. Smith, M. (1992). CROPWAT. A computer program for irrigation planning and management. FAO Irrigation and Drainage Paper, No 46.
4. Abioye, E. A., Hensel, O., Esau, T. J., Elijah, O., Abidin, M. S. Z., Ayobami, A. S., Nasirahmadi, A. (2022). Precision Irrigation Management Using Machine Learning and Digital Farming Solutions. AgriEngineering, 4(1), 70-103.
5. Facchi, A., Mayer, A., Ortuani, B., Crema, A. (2022). Can an agro-hydrological model improve the irrigation management of maize under a center pivot? Copernicus Meetings. No. EGU22-8093.
6. El-Sanatawy, A. M., El-Kholy, A. S., Ali, M., Awad, M. F., Mansour, E. (2021). Maize seedling establishment, grain yield and crop water productivity response to seed priming and irrigation management in a Mediterranean arid environment. Agronomy, 11(4), 756.
7. Mhawej, M., Nasrallah, A., Abunnasr, Y., Fadel, A., & Faour, G. (2021). Better irrigation management using the satellite-based adjusted single crop coefficient (aKc) for over sixty crop types in California, USA. Agricultural Water Management, 256, 107059.
8. Bohaienko, V., Matiash, T., & Krucheniuk, A. (2021). Decision Support System in Sprinkler Irrigation Based on a Fractional Moisture Transport Model. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education IV. ICCSEEA 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 83.
9. Gadzalo, Ya., Romashchenko, M., Kovalchuk, V., Matiash, T., & Voitovich O. (2019). Using smart technologies in irrigation management. In International Commission on Irrigation and Drainage, 3nd World Irrigation Forum (WIF3). Id: W.1.3.02.
10. Wassar, F., Gandolfi, C., Rienzner, M., Chiaradia, E. A., & Bernardoni, E. (2016). Predicted and measured soil retention curve parameters in Lombardy region north of Italy. International Soil and Water Conservation Research, 4(3), 207-214.
11. Shokrana, M. S. B., Ghane, E. (2020). Measurement of soil water characteristic curve using HYPROP2. MethodsX, 7, 100840.
12. Romashchenko, M.I., Kolomiets, S.S., Bilobrova, A.S. (2019). Laboratory diagnostic system for water-physical soil properties. Land Reclamation and Water Management, 2, 199-208. [in Ukrainian].
13. Romashchenko, M.I., Bohaienko, V.O., Matiash, T.V., Kovalchuk, V.P., & Danylenko, Iu.Iu. (2019). Influence of evapotranspiration assessment on the accuracy of moisture transport modeling under the conditions of sprinkling irrigation in the south of Ukraine. Archives of Agronomy and Soil Science, 66(10), 1424-1435.
14. Romashchenko, M. I., Bohaienko, V. O., Matiash, T. V., Kovalchuk, V. P., & Krucheniuk, A. V., (2021). Numerical simulation of irrigation scheduling using fractional Richards equation. Irrigation Science, 39(3), 385-396.
15. Vishnevskiy, V.I., Shevchuk, S.A., 2018. Usage of remote sensing data in the research of water objects of Ukraine (in Ukrainian). Kyiv: Interpress LTD, 116 p.
16. Herbei, M.V., & Sala, F. (2015). Use Landsat image to evaluate vegetation stage in sunflower crops. AgroLife Scientific Journal, 4(1), 79-86.
17. Shtoiko, D. A., Pisarenko, V. A., Bychko, O. S., & Elazhenko, L. I. (1977). Computational methods for determination of total evaporation and irrigation periods of crops. Irrigation Agriculture, 3-8 [in Ukrainian].
18. Ivanov, N. N. (1954). On the determination of evaporation values. Yzv. HHO, Moskow, 189-196. [in Russian]
19. Monteith, J. L. (1965). Evaporation and environment. In Symposia of the society for experimental biology (Vol. 19, pp. 205-234). Cambridge University Press (CUP) Cambridge.
How to Cite
Matiash, T., Romashchenko, M., Bogaenko, V., Shevchuk, S., Kruchenyuk, A., & Butenko, Y. (2022). Monitoring and irrigation regime formation when growing crops using the "Irrigation Online" system. Land Reclamation and Water Management, (1), 29 - 39.