Abstract
Fast and precise estimation of the available nitrogen content in vermiculite substrates promotes prescription fertilization in desert facility agriculture. This study explored near-infrared spectroscopy for rapid detection of the available nitrogen content in vermiculite substrates in desert facility agriculture. The spectra of vermiculite matrices with different available nitrogen contents were collected through a self-assembled near-infrared spectrometer. Partial least squares expression (PLSR) established the available nitrogen spectrum prediction model optimized using different pretreatments. After pretreatment, the prediction model of the available nitrogen spectrum was simplified by adopting three feature extraction methods. A comprehensive comparison of the results of each prediction model showed that the prediction model combining the first derivative with SG smoothing pretreatment was the best. The correlation coefficients of the corresponding calibration and prediction sets were 0.9972 and 0.9968, respectively. The root mean square errors of the calibration and prediction sets were 149.98 and 159.65 mg/kg, respectively, with 12.57 RPD. These results provide a feasible method for rapidly detecting the available nitrogen content of vermiculite substrates in desert facility agriculture.
Highlights
Combining information technology with modern agricultural operation and management systems is a new agricultural practice for positioning, timing, and quantification
The spectral data concentration of 144 vermiculite substrate weretwo sorted in descending collected at equal intervals were samples divided into groups, and 25% oforder the following the chemical measurements of available nitrogen content
The results indicated that different spectral data preprocessing methods differentially influenced spectroscopic detection of the water content of vermiculite substrates
Summary
Combining information technology with modern agricultural operation and management systems is a new agricultural practice for positioning, timing, and quantification. The rapid development of precision agriculture in facility farming demands rapid and accurate detection technology for the precise control and management of desert facilities [1,2]. Precision agriculture is a new system in desert facility agriculture. The desert characteristics of massive evaporation and minimal agricultural materials birthed the development of facility agriculture which combines and precisely controls low-cost substrates with high water and fertilizer conservation [3]. Inorganic, and non-toxic vermiculite ore expansion produces vermiculite substrate, which provides the nutrients and water necessary for long-term plant growth and effectively promotes crop root growth and stable seedling development. Vermiculite substrate is an alternative cultivation substrate in desert facility agriculture [4,5]
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