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Unmanned Aerial Vehicle to Estimate Nitrogen Status of Turfgrasses.

Caturegli L, Corniglia M, Gaetani M, Grossi N, Magni S, Migliazzi M, Angelini L, Mazzoncini M, Silvestri N, Fontanelli M, Raffaelli M, Peruzzi A, Volterrani M - PLoS ONE (2016)

Bottom Line: Spectral reflectance data originating from Unmanned Aerial Vehicle (UAV) imagery is a valuable tool to monitor plant nutrition, reduce nitrogen (N) application to real needs, thus producing both economic and environmental benefits.The most reactive species to N fertilization is Cdxt with a clippings N% ranging from 1.2% to 4.1%.UAV imagery can adequately assess the N status of turfgrasses and its spatial variability within a species, so for large areas, such as golf courses, sod farms or race courses, UAV acquired data can optimize turf management.

View Article: PubMed Central - PubMed

Affiliation: Department of Agriculture, Food and Environment, University of Pisa, Pisa, Italy.

ABSTRACT
Spectral reflectance data originating from Unmanned Aerial Vehicle (UAV) imagery is a valuable tool to monitor plant nutrition, reduce nitrogen (N) application to real needs, thus producing both economic and environmental benefits. The objectives of the trial were i) to compare the spectral reflectance of 3 turfgrasses acquired via UAV and by a ground-based instrument; ii) to test the sensitivity of the 2 data acquisition sources in detecting induced variation in N levels. N application gradients from 0 to 250 kg ha-1 were created on 3 different turfgrass species: Cynodon dactylon x transvaalensis (Cdxt) 'Patriot', Zoysia matrella (Zm) 'Zeon' and Paspalum vaginatum (Pv) 'Salam'. Proximity and remote-sensed reflectance measurements were acquired using a GreenSeeker handheld crop sensor and a UAV with onboard a multispectral sensor, to determine Normalized Difference Vegetation Index (NDVI). Proximity-sensed NDVI is highly correlated with data acquired from UAV with r values ranging from 0.83 (Zm) to 0.97 (Cdxt). Relating NDVI-UAV with clippings N, the highest r is for Cdxt (0.95). The most reactive species to N fertilization is Cdxt with a clippings N% ranging from 1.2% to 4.1%. UAV imagery can adequately assess the N status of turfgrasses and its spatial variability within a species, so for large areas, such as golf courses, sod farms or race courses, UAV acquired data can optimize turf management. For relatively small green areas, a hand-held crop sensor can be a less expensive and more practical option.

No MeSH data available.


Related in: MedlinePlus

Relationships between the clippings nitrogen content of Cynodon dactylon x transvaalensis and NDVI data obtained with a ground-based spectral reflectance instrument (Trimble’s GreenSeeker sensor) and an unmanned aerial vehicle (UAV).Values represented the 4 replications.
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pone.0158268.g003: Relationships between the clippings nitrogen content of Cynodon dactylon x transvaalensis and NDVI data obtained with a ground-based spectral reflectance instrument (Trimble’s GreenSeeker sensor) and an unmanned aerial vehicle (UAV).Values represented the 4 replications.

Mentions: Furthermore, observing the correlations, the parameter color intensity is well correlated with both NDVI GreenSeeker (r = 0.95) and NDVI from UAV (r = 0.96). Moreover, as expected, the relationship between color intensity and clippings N content is also significantly high (r = 0.93). The surface temperature is found to be not significant in the correlation with N applied and significant at 0.05 level with clippings N content, color intensity and with NDVI measured with the two spectral sensors. Fig 3 shows the regression line between the clippings N content and both NDVI (GreenSeeker) and NDVI (UAV). Values observed in the figure are obtained from all the 4 replications. It is of interest to note that the regression coefficients are high for both the instruments. However, NDVI (UAV) showed the highest degree of association with clippings N content (r = 0.93).


Unmanned Aerial Vehicle to Estimate Nitrogen Status of Turfgrasses.

Caturegli L, Corniglia M, Gaetani M, Grossi N, Magni S, Migliazzi M, Angelini L, Mazzoncini M, Silvestri N, Fontanelli M, Raffaelli M, Peruzzi A, Volterrani M - PLoS ONE (2016)

Relationships between the clippings nitrogen content of Cynodon dactylon x transvaalensis and NDVI data obtained with a ground-based spectral reflectance instrument (Trimble’s GreenSeeker sensor) and an unmanned aerial vehicle (UAV).Values represented the 4 replications.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4920401&req=5

pone.0158268.g003: Relationships between the clippings nitrogen content of Cynodon dactylon x transvaalensis and NDVI data obtained with a ground-based spectral reflectance instrument (Trimble’s GreenSeeker sensor) and an unmanned aerial vehicle (UAV).Values represented the 4 replications.
Mentions: Furthermore, observing the correlations, the parameter color intensity is well correlated with both NDVI GreenSeeker (r = 0.95) and NDVI from UAV (r = 0.96). Moreover, as expected, the relationship between color intensity and clippings N content is also significantly high (r = 0.93). The surface temperature is found to be not significant in the correlation with N applied and significant at 0.05 level with clippings N content, color intensity and with NDVI measured with the two spectral sensors. Fig 3 shows the regression line between the clippings N content and both NDVI (GreenSeeker) and NDVI (UAV). Values observed in the figure are obtained from all the 4 replications. It is of interest to note that the regression coefficients are high for both the instruments. However, NDVI (UAV) showed the highest degree of association with clippings N content (r = 0.93).

Bottom Line: Spectral reflectance data originating from Unmanned Aerial Vehicle (UAV) imagery is a valuable tool to monitor plant nutrition, reduce nitrogen (N) application to real needs, thus producing both economic and environmental benefits.The most reactive species to N fertilization is Cdxt with a clippings N% ranging from 1.2% to 4.1%.UAV imagery can adequately assess the N status of turfgrasses and its spatial variability within a species, so for large areas, such as golf courses, sod farms or race courses, UAV acquired data can optimize turf management.

View Article: PubMed Central - PubMed

Affiliation: Department of Agriculture, Food and Environment, University of Pisa, Pisa, Italy.

ABSTRACT
Spectral reflectance data originating from Unmanned Aerial Vehicle (UAV) imagery is a valuable tool to monitor plant nutrition, reduce nitrogen (N) application to real needs, thus producing both economic and environmental benefits. The objectives of the trial were i) to compare the spectral reflectance of 3 turfgrasses acquired via UAV and by a ground-based instrument; ii) to test the sensitivity of the 2 data acquisition sources in detecting induced variation in N levels. N application gradients from 0 to 250 kg ha-1 were created on 3 different turfgrass species: Cynodon dactylon x transvaalensis (Cdxt) 'Patriot', Zoysia matrella (Zm) 'Zeon' and Paspalum vaginatum (Pv) 'Salam'. Proximity and remote-sensed reflectance measurements were acquired using a GreenSeeker handheld crop sensor and a UAV with onboard a multispectral sensor, to determine Normalized Difference Vegetation Index (NDVI). Proximity-sensed NDVI is highly correlated with data acquired from UAV with r values ranging from 0.83 (Zm) to 0.97 (Cdxt). Relating NDVI-UAV with clippings N, the highest r is for Cdxt (0.95). The most reactive species to N fertilization is Cdxt with a clippings N% ranging from 1.2% to 4.1%. UAV imagery can adequately assess the N status of turfgrasses and its spatial variability within a species, so for large areas, such as golf courses, sod farms or race courses, UAV acquired data can optimize turf management. For relatively small green areas, a hand-held crop sensor can be a less expensive and more practical option.

No MeSH data available.


Related in: MedlinePlus