Preprocessing and Statistical Analysis of Soil Parameters using Conventional Laboratory Techniques and Non-Imaging Spectral Techniques for Vaijapur Taluka
Pratibha R. Bhise1, Sonali B. Kulkarni2, Vipin Y. Borole3
1Miss. Pratibha R. Bhise, Pursed Bachelor of Computer and Master of Computer Science from Dr. BAM University, Aurangabad, India.
2Dr. Sonali B. Kulkarni, Professor in Department of Computer Science and IT, Dr. BAM University, Aurangabad
3Mr. Vipin Y. Borole, Department of Computer Science & Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra.
Manuscript received on 05 March 2019 | Revised Manuscript received on 12 March 2019 | Manuscript published on 30 July 2019 | PP: 3092-3096 | Volume-8 Issue-2, July 2019 | Retrieval Number: B2639078219/19©BEIESP | DOI: 10.35940/ijrte.B2639.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Agriculture is very important factor for all population in India. Indian economy and most of the peoples in India is totally depends upon agriculture and agriculture is depends upon soil quality. Soil provides various ecosystem services and also support to human health. To manage and preserve soil for future generations it is important to know more about soil. Soil quality is composed of its properties such as physical, chemical and biological and also categorized its nutrients in two sections like micronutrients and macronutrients. In soil quality soil macronutrients plays very crucial role for improvement of agriculture. To know about status of soil macronutrients various methods are needed. The main objective of this study is compare soil laboratory analysis methods and soil spectral analysis methods for quantitative estimation of soil macronutrients. With the help of these two methods we accurately predicted the soil macronutrients which helps in estimation of macronutrients and identifying the soil quality. In this study descriptive statistics is used for final estimation of soil macronutrients.We got better results using spectral analysis techniques compare to soil laboratory analysis techniques and this results gives contribution in agriculture sector and also helpful to farmers for taking decision related to crop.
Keywords: VNIR-SWIR, Preprocessing, Spectroscopy.
Scope of the Article: Analysis of Algorithms and Computational Complexity