26 May 2016 Characterization of a new fertilizer during field trials by hyperspectral imaging
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Abstract
This work was carried out in the framework of the LIFE RESAFE Project (LIFE12 ENV/IT/000356) “Innovative fertilizer from urban waste, bio-char and farm residues as substitute of chemical fertilizers”. The aim of RESAFE project is the production of a new fertilizer from waste for agricultural practices. The new fertilizer was tested on 5 different crops during field trials carried out in Spain: barley, corn, tomato, potato and melon. For each crop six different treatments were applied and compared to verify the quality of RESAFE fertilizer. Soil samples were collected at the beginning and at the end of the experiment. The possibility to apply hyperspectral imaging (HSI) to perform soil evolution monitoring and characterization in respect to the fertilizer utilization and quality of the resulting crops was investigated. Soil samples were acquired by HSI in the near infrared field (1000–1700 nm) and on the same samples classical chemical analyses were carried out with reference to total nitrogen, total organic carbon, C/N ratio, total organic matter. Hyperspectral data were analyzed adopting a chemometric approach through application of Principal Component Analysis (PCA) for exploratory purposes and Partial Least Squares Analysis (PLS) for estimation of chemical parameters. The results showed as the proposed hardware and software integrated architecture allows to implement low cost and easy to use analytical procedures able to quantitatively assess soil chemical-physical attributes according to different fertilization strategies, in respect of different environmental conditions and selected crops.
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Giuseppe Bonifazi, Giuseppe Bonifazi, Silvia Serranti, Silvia Serranti, Agata Trella, Agata Trella, Carlos Garcia Izquierdo, Carlos Garcia Izquierdo, } "Characterization of a new fertilizer during field trials by hyperspectral imaging", Proc. SPIE 9864, Sensing for Agriculture and Food Quality and Safety VIII, 98640J (26 May 2016); doi: 10.1117/12.2223006; https://doi.org/10.1117/12.2223006
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