Real-time analysis during slurry field application can potentially ensure higher efficiency in crop fertilisation and reduce related environmental problems. Near Infrared Spectroscopy (NIRS) can predict quickly and adequately the nutrient content of the slurry but the devices are still costly. In this study, a low-cost portable device has been tested to predict total solids, total Kjeldahl nitrogen, total ammonia nitrogen, and phosphorus contents in cattle and pig slurries and digestate. Multivariate calibration models were developed for different biomass types (multi- biomass) by comparing support vector machine (SVM) and partial least square (PLS) regressions. The developed SVM and PLS models showed satisfactory and similar results, with performance to deviation ratio (RPD) values ranging between 2.22 and 2.80. The use of the handheld device with the obtained models also meets the re- quirements of a certification protocol for commercial NIR sensors and therefore can ensure a better slurry management at farm level.
Nutrient quantification of livestock slurry and digestate using a low-cost handheld NIR spectrometer and multi-biomass calibration models / F. Tangorra, E. Buoio, A. Finzi, A. Costa, O. Ferrari, G. Provolo. - In: BIOSYSTEMS ENGINEERING. - ISSN 1537-5129. - 240:(2024 Apr), pp. 100-106. [10.1016/j.biosystemseng.2024.02.018]
Nutrient quantification of livestock slurry and digestate using a low-cost handheld NIR spectrometer and multi-biomass calibration models
F. TangorraPrimo
;E. BuoioSecondo
;A. Finzi
;A. Costa;O. FerrariPenultimo
;G. ProvoloUltimo
2024
Abstract
Real-time analysis during slurry field application can potentially ensure higher efficiency in crop fertilisation and reduce related environmental problems. Near Infrared Spectroscopy (NIRS) can predict quickly and adequately the nutrient content of the slurry but the devices are still costly. In this study, a low-cost portable device has been tested to predict total solids, total Kjeldahl nitrogen, total ammonia nitrogen, and phosphorus contents in cattle and pig slurries and digestate. Multivariate calibration models were developed for different biomass types (multi- biomass) by comparing support vector machine (SVM) and partial least square (PLS) regressions. The developed SVM and PLS models showed satisfactory and similar results, with performance to deviation ratio (RPD) values ranging between 2.22 and 2.80. The use of the handheld device with the obtained models also meets the re- quirements of a certification protocol for commercial NIR sensors and therefore can ensure a better slurry management at farm level.File | Dimensione | Formato | |
---|---|---|---|
Manuscript01475_NIR_def_editor_REV_clean.pdf
accesso aperto
Descrizione: Research Note - preprint
Tipologia:
Pre-print (manoscritto inviato all'editore)
Dimensione
1.15 MB
Formato
Adobe PDF
|
1.15 MB | Adobe PDF | Visualizza/Apri |
Tangorra 2024 - Nutrient quantification of livestock slurry and digestate.pdf
accesso riservato
Tipologia:
Publisher's version/PDF
Dimensione
2.33 MB
Formato
Adobe PDF
|
2.33 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.