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Durum wheat in-field monitoring and early-yield prediction: assessment of potential use of high resolution satellite imagery in a hilly area of Tuscany, Central Italy

Published online by Cambridge University Press:  16 December 2013

A. DALLA MARTA ,
D. GRIFONI ,
M. MANCINI ,
F. ORLANDO ,
F. GUASCONI  and
S. ORLANDINI
A. DALLA MARTA*
Affiliation:
Department of Agrifood Production and Environmental Sciences, University of Florence, Piazzale delle Cascine 18, 50144 Florence, Italy
D. GRIFONI
Affiliation:
Institute of Biometeorology (CNR-IBIMET)/LaMMA, Via Madonna del Piano 10, Sesto Fiorentino, Italy
M. MANCINI
Affiliation:
Interdepartmental Center of Bioclimatology, University of Florence, Piazzale delle Cascine 18, 50144 Florence, Italy
F. ORLANDO
Affiliation:
Department of Agrifood Production and Environmental Sciences, University of Florence, Piazzale delle Cascine 18, 50144 Florence, Italy
F. GUASCONI
Affiliation:
Department of Agrifood Production and Environmental Sciences, University of Florence, Piazzale delle Cascine 18, 50144 Florence, Italy
S. ORLANDINI
Affiliation:
Department of Agrifood Production and Environmental Sciences, University of Florence, Piazzale delle Cascine 18, 50144 Florence, Italy Interdepartmental Center of Bioclimatology, University of Florence, Piazzale delle Cascine 18, 50144 Florence, Italy
*
*To whom all correspondence should be addressed. Email: [email protected]
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Summary

Modern agriculture is based on the control of in-field variability, which is determined by the interactions of numerous factors such as soil, climate and crop. For this reason, the use of remote sensing is becoming increasingly important, thanks to the technological development of satellites able to supply information with high spatial resolution and revisit frequency. Despite the large number of studies on the use of remote sensing for crop monitoring, very few have addressed the problem of spatial variability at field scale or the early prediction of crop yield and grain quality. The aim of the current research was to assess the potential use of high resolution satellite imagery for monitoring durum wheat growth and development, addressing forecast grain yield and protein content, through vegetation indices at two stages of crop development. To best represent the natural variability of agricultural production, the study was conducted in wheat fields managed by local farmers. As regards dry weight, leaf area index and nitrogen (N) content, the possibility of describing the crop state is evident at stem elongation, while at anthesis this potential is completely lost. However, satellites seem to be unable to estimate the N concentration. Aboveground biomass accumulated from emergence to stem elongation is strictly related to the final yield, while it has been confirmed that the crop parameters observed at anthesis are less informative, despite approaching harvesting time.

Type
Crops and Soils Research Papers
Information
The Journal of Agricultural Science , Volume 153 , Issue 1 , January 2015 , pp. 68 - 77
Copyright
Copyright © Cambridge University Press 2013 

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References

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