In recent years, the acquisition and analysis of multispectral data are gaining a growing interest and importance in agriculture. On the other hand, new technologies are opening up for the possibility of developing and implementing sensors with relatively small size and featuring high technical performances. Thanks to low weights and high signal to noise ratios, such sensors can be transported by different type of means (terrestrial as well as aerial vehicles), giving new opportunities for assessment and monitoring of several crops at different growing stages or health conditions . The choice and specialization of individual bands within the electromagnetic spectrum ranging from the ultraviolet to the infrared, plays a fundamental role in the definition of the so-called vegetation indices (eg. NDVI, GNDVI, SAVI, and dozens of others), posing new questions and challenges in their effective implementation. The present paper firstly discusses the needs of low-distance based sensors for indices calculation, than focuses on development of a new multispectral instrument specially developed for agricultural multispectral analysis. Such instrument features high frequency and high resolution imaging through nine different sensors (1 RGB and 8 monochrome with relative band-pass filters, covering the 390 to 950 nm range). The instrument allows synchronized multiband imaging thanks to integrated global shutter technology, with a frame rate up to 5 Hz; exposure time can be as low as 1/5000 s. An applicative case study is eventually reported on an area featuring different materials (organic and non-organic), to show the new instrument potential.

Last generation instrument for agriculture multispectral data collection / Dubbini, Marco; Marinello, Francesco; Pezzuolo, Andrea; De Giglio, Michaela; Gattelli, Mario; Covi, Daniele. - ELETTRONICO. - (2016), pp. 1-7. (Intervento presentato al convegno CIGR-AgEng conference tenutosi a Aarhus, Denmark nel Jun. 26–29, 2016).

Last generation instrument for agriculture multispectral data collection

DUBBINI, MARCO;DE GIGLIO, MICHAELA;
2016

Abstract

In recent years, the acquisition and analysis of multispectral data are gaining a growing interest and importance in agriculture. On the other hand, new technologies are opening up for the possibility of developing and implementing sensors with relatively small size and featuring high technical performances. Thanks to low weights and high signal to noise ratios, such sensors can be transported by different type of means (terrestrial as well as aerial vehicles), giving new opportunities for assessment and monitoring of several crops at different growing stages or health conditions . The choice and specialization of individual bands within the electromagnetic spectrum ranging from the ultraviolet to the infrared, plays a fundamental role in the definition of the so-called vegetation indices (eg. NDVI, GNDVI, SAVI, and dozens of others), posing new questions and challenges in their effective implementation. The present paper firstly discusses the needs of low-distance based sensors for indices calculation, than focuses on development of a new multispectral instrument specially developed for agricultural multispectral analysis. Such instrument features high frequency and high resolution imaging through nine different sensors (1 RGB and 8 monochrome with relative band-pass filters, covering the 390 to 950 nm range). The instrument allows synchronized multiband imaging thanks to integrated global shutter technology, with a frame rate up to 5 Hz; exposure time can be as low as 1/5000 s. An applicative case study is eventually reported on an area featuring different materials (organic and non-organic), to show the new instrument potential.
2016
CIGR-AgEng conference
1
7
Last generation instrument for agriculture multispectral data collection / Dubbini, Marco; Marinello, Francesco; Pezzuolo, Andrea; De Giglio, Michaela; Gattelli, Mario; Covi, Daniele. - ELETTRONICO. - (2016), pp. 1-7. (Intervento presentato al convegno CIGR-AgEng conference tenutosi a Aarhus, Denmark nel Jun. 26–29, 2016).
Dubbini, Marco; Marinello, Francesco; Pezzuolo, Andrea; De Giglio, Michaela; Gattelli, Mario; Covi, Daniele
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/556695
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