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Publication datasheet
Title:
Estimation of tomato nutritional status by VIS-Nir portable spectrophotometric system
Authors:
Ulissi, V.; Menesatti, P.; Benincasa, P.; Guiducci, M.
Year:
2010
Languages:
ENG, eng
Journal:
XVIIth World Congress of the International Commission of Agricultural Engineering (CIGR), QuÚbec City, Canada June 13-17, 2010: 108
Kind of publication:
Elettronico
Location:
Editor:
CSBE/SCGAB
Abstract in Italian:
Abstract in English:
Determinationo f cropn itrogen( ╠.1)n utritionals tatusb y rapid andn on methods is an essential means to optimize fertiliser-N use and minimize N losses. S reflectance values of tomato leaves obtained by VIS-NIR spectrophotometry are reported to be powerful tool for diagnosis of plant nutritional and health status. The aim of the study was evaluate the possibility and the accuracy of the estimation of tomato leaf N content performe˙ througha rapid, portablea nd non*destructivesp ectrophotometrVicI S-NIR system,in comparison with chemical standard analyses. Nearly 2000 leaves of processing tomato grown in a field experiment with different fertiliser-N rates and forms were collected at three crop stages (from June to August 2008) and analysed for total N. The spectrophotometric acquisition was realised through an instrumental device consisting in a notebook connected to a handy punctual VIS-NIR spectrophotometer (400-1100 nm range, a bandwidth of 3 nm) and a contact probe for solids (optical diameter 3 mm, 45o diffirse illumination without specular component). Mean reflectance leaf values were compared to each reference chemical value by chemometric multivanate methods (Partial Least Squares regression analysis). The prediction ability of the model was high, being a SEP of 0.17 andR MSE of 0.14, the latter correspondingto 3.4o/oo f the averagem easuredv alueso f nitrogen. The correlation between predicted and observed chemical values showed highly significant values with an R2:0.97.

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