Electrical conductivity based algorithm for precise application of liquid nitrogenous fertilizers


Abstract views: 132 / PDF downloads: 0 / PDF downloads: 110

Authors

  • RAMKISHOR KURMI ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
  • SATISH DEVRAM LANDE ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
  • INDRA MANI Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani, Maharashtra
  • KAPIL ATMARAM CHOBHE ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
  • ROAF AHMAD PARRAY ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
  • RAJEEV KUMAR ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
  • LALIT BIRLA ICAR-Indian Agricultural Statistics Research Institute, New Delhi
  • SUKANTA DASH ICAR-Indian Agricultural Statistics Research Institute, New Delhi

https://doi.org/10.56093/ijas.v94i8.149590

Keywords:

Electrical conductivity, Liquid nitrogenous fertilizers, Regression model

Abstract

Precise application of nitrogenous fertilizers mainly urea ammonium nitrate (UAN) and granular urea (both pure and neem-coated) in aqueous form, is critically important for basal and foliar applications. The physicochemical properties of aqueous solution of these nitrogenous fertilizers plays important role in design of any liquid fertilizer application system. The study was carried out during 2019–20 at ICAR-Indian Agricultural Research Institute, New Delhi with an aim to develop algorithms for use in sensors-based systems for real time monitoring of available N concentration in the fertilizer solution before its application. The physicochemical properties like pH, electrical conductivity (EC), specific gravity (SG), dynamic viscosity (DV), surface tension (ST) and percentage light absorbance (LA) of urea ammonium nitrate (UAN-28%), pure urea, and neem coated urea in diluted form (pre-selected N-concentrations i.e. 0.78, 0.9, 1.08, 1.33, 1.75, 2.54 and 4.67% corresponding to the dilution ratios of 1:35, 1:30, 1:25, 1:20, 1:15, 1:10 and 1:05) were measured and analyzed for their significance with N-concentration. Electrical conductivity (EC) alone showed a significant relationship with N-concentrations. Prediction models were developed for diluted UAN and granular urea fertilizers based on the EC and N-concentrations. The regression models in terms of EC to predict N-concentration had coefficients of determination (R2) of 0.998, 0.998, and 0.999 for diluted UAN, pure urea, and neem coated urea with water, respectively showed a great potential for their sensor based precise application. The controlled application of diluted liquid fertilizers with water can be achieved through sensing relevant physicochemical property.

Downloads

Download data is not yet available.

References

Alexandrova A N and Jorgensen W L. 2007. Why urea eliminates ammonia rather than hydrolyzes in aqueous solution? The Journal of Physical Chemistry B 111(4): 720–30.

Bull H B, Breese K, Ferguson G L and Swenson C A. 1964. The pH of urea solutions. Archives of Biochemistry and Biophysics 104(2): 297–304.

Castro S A Q, Kichey T, Persson D and Schjoerring J K. 2022. Leaf scorching following foliar fertilization of wheat with urea or urea ammonium nitrate is caused by ammonium toxicity. Agronomy 12(6): 1405.

Darmawan D, Ismardi A P D and Fathona W I. 2023. Investigating the electrical properties of soil as an indicator of the content of the NPK element in the soil. Measurement and Control 56(1–2): 351–57.

Fernandez V, Sotiropoulos T and Brown P. 2013. Foliar fertilization. Scientific Principles and Field Practices 144(1): 144–47.

Halonen S, Kangas T and Haataja M. 2017. Urea-water solution properties: Density, viscosity, and surface tension in an under- saturated solution. Emission Control Science and Technology 3: 161–70.

Kapusta L J, Sutkowski M, Rogóż R, Zommara M and Teodorczyk A. 2019. Characteristics of water and urea-water solution sprays. Catalysts 9(9): 1–7.

Kawahara K and Tanford C. 1966. Viscosity and density of aqueous solutions of urea and guanidine hydrochloride. Journal of Biological Chemistry 241(13): 3228–32.

Khlaif O A, Adel Abdulrazzaq K and Mohammed A H. 2021. Electrical conductivity as a general predictor of multiple parameters in Tigris river based on statistical regression model. Journal of Engineering 27(2): 73–82.

Krishnan V, Khodadadi T H and Kavazanjian J E. 2023. An improved method for determining urease activity from electrical conductivity measurements. American Chemical Society- Omega 8(15): 13791–98.

Makarov D M and Egorov G I. 2018. Density and volumetric properties of the aqueous solutions of urea at temperatures from T = 278 to 333 K and pressures up to 100 MPa. The Journal of Chemical Thermodynamics 120: 164–73.

Othaman N N C, Isa M N M, Ismail R C, Ahmad M I and Hui C K. 2019. Factors that affect soil electrical conductivity (EC) based system for smart farming application. (In) The 2nd International Conference on Applied Photonics and Electronics, pp. 1–7.

Sanchez E, Di Gioia F and Flax N. 2021. Hydroponics systems and principles of plant nutrition: Essential nutrients, function, deficiency, and excess, pp. 1–4. Penn State Extension, Fact Sheet.

Savvas D and Adamidis K. 1999. Automated management of nutrient solutions based on target electrical conductivity, pH, and nutrient concentration ratios. Journal of Plant Nutrition 22: 1415–32.

Shawon M R A, Azad M O K, Ryu B R, Na J K and Choi K Y. 2023. The electrical conductivity of nutrient solution influenced the growth, centellosides content and gene expression of Centella asiatica in a hydroponic system. Agriculture 13(12): 22–36.

Sowmiya P B, Nagaswetha B K and Priyadharshini D. 2017. Design of automatic nutrition supply system using IoT technique in modern cities. (In) International Conference on Technical Advancements in Computers and Communications (ICTACC), April 10, pp. 109–11.

Sundaram P K, Mani I, Kumar A, Lande S D, Sarkar S K, Manjaiya K M, Sahoo R N and Lal S K. 2018. Effect of liquid urea ammonium nitrate application at varying depths on root and shoot growth in wheat (Triticum aestivum). The Indian Journal of Agricultural Sciences 87(10): 1288–94.

Tate T. 1864. On the magnitude of a drop of liquid formed under different circumstances. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science 27(181): 176–80.

Wahab A and Mahiuddin S. 2001. Electrical conductivity, speeds of sound, and viscosity of aqueous ammonium nitrate solutions. Canadian Journal of Chemistry 79(8): 1207–12.

Walsh O S and Christiaens R J. 2016. Relative efficacy of liquid nitrogen fertilizers in dryland spring Wheat. International Journal of Agronomy Special Vol 2016: 1–9.

Wu Y, Li L, Li S, Wang H, Zhang M, Sun H, Sygrimis N and Li M. 2019. Optimal control algorithm of fertigation system in greenhouse based on EC model. International Journal of Agricultural and Biological Engineering 12(3): 118–25.

Xu K, Kitazumi Y, Kano K and Shirai O. 2019. Construction of an automatic nutrient solution management system for hydroponics-adjustment of the K+ concentration and volume of water. Analytical Sciences 1–19.

Zhai L. 2006. The dynamic study on the organism yield and nutrient absorb of corn in different yield treatments. Dissertation. Jilin Agriculture University, Changchun city, China.

Zhao J and Yu Z. 2006. Effects of nitrogen fertilizer rate on uptake, distribution and utilization of nitrogen in winter wheat under high yielding cultivated condition. Acta Agronomica Sinica 32(1): 484–90.

Downloads

Submitted

2024-03-14

Published

2024-08-05

Issue

Section

Articles

How to Cite

KURMI, R. ., LANDE, S. D. ., MANI, I. ., CHOBHE, K. A. ., PARRAY, R. A. ., KUMAR, R. ., BIRLA, L. ., & DASH, S. . (2024). Electrical conductivity based algorithm for precise application of liquid nitrogenous fertilizers. The Indian Journal of Agricultural Sciences, 94(8), 895–899. https://doi.org/10.56093/ijas.v94i8.149590
Citation