Publication:
A nonlinear model to estimate Nitrogen level in agricultural soil using Gaussian Kernels
A nonlinear model to estimate Nitrogen level in agricultural soil using Gaussian Kernels
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Date
2016
Authors
Sanchez-Mora, K
Zuniga-Gutierrez, MA
Mayhua-Lopez, E
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Publisher
IEEE
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Abstract
Nitrogen fertilizers are commonly used to improve agricultural productivity. However, its excessive use may cause or lead to environmental problems. Therefore, technologies capable of monitoring and measure levels of nitrogen in agricultural soil in-situ and in real time are required in order to make efficient the use of fertilizers. Nitrogen levels are usually measured by direct and indirect methods. Direct methods can be conducted in-situ or in laboratory, but they are really expensive and/or little resistant to soil conditions.
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Keywords
fertilisers,
agriculture,
electrical conductivity