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Preprocessing and Statistical Analysis of Soil Parameters using Conventional Laboratory Techniques and Non-Imaging Spectral Techniques for Vaijapur Taluka.
Author(s) -
Miss.Pratibha R.Bhise,
Dr.Sonali B.Kulkarni,
Vipin Y. Borole
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b2639.078219
Subject(s) - environmental science , agriculture , soil quality , soil health , soil test , agricultural soil science , agricultural engineering , nutrient , soil biodiversity , population , soil science , soil fertility , soil organic matter , soil water , ecology , biology , engineering , environmental health , medicine
Agriculture is very important factor for all population in India. Indian economy and most of the peoplesin India istotally 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.

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