Esca complex, the most widespread and damaging grapevine trunk disease in Europe, is most commonly present in the Grapevine Leaf Stripe Disease form (GLSD). The typical foliar symptoms were associated by several authors to a drastic alteration of photosynthetic functions as well as an activation of defense responses in affected grapevines several days before the appearance of the first visible symptoms on the leaves. Based on these observations, an application of the drone was suggested as an innovative tool to investigate the correlation between high-resolution multispectral images acquired by UAV (Unmanned Aerial Vehicle), and GLSD foliar symptoms monitored by ground surveys. This approach was previously validated by assessing the correlation between NDVI acquired by the UAV and GLSD symptoms, and its ability to discriminate symptomatic from asymptomatic plants. To this aim, high-resolution multispectral images were acquired over 2012 and 2013 in June and July in an experimental vineyard, located in Tuscany (Italy), where vines had been surveyed and mapped since 2003. Each vine was mapped with Leica Differential-GPS, and classified for foliar symptoms appearance and diseases severity by a ground survey at week frequency since the beginning of each season. In 2013, the vineyard was analyzed for physiological parameters on single leaves using a Li-Cor 6400 portable photosynthesis system. Remote sensing and ground observation data were analyzed to promptly identify the early stages of the symptoms, even before visual detection. This application has produced interesting results, which open up new perspectives on the use of innovative technologies in remote sensing for precision viticulture as UAV platforms. Its use has allowed a better knowledge of the spatial distribution of the disease in the vineyard, and its correlation with the physiological status of the vines, in order to improve the control strategies and management against Esca complex disease. Drone features such as low cost, capability of timely provision of high resolution images, flexibility of use in terms of flight planning, provide a methodological approach that can be easily applied for investigation and control in the vineyard, both in terms of experimental research and operational applications.
The drone application for the detection of esca diseases spatial distribution in vineyard
DI GENNARO F;DI MARCO S;MATESE A;
2015
Abstract
Esca complex, the most widespread and damaging grapevine trunk disease in Europe, is most commonly present in the Grapevine Leaf Stripe Disease form (GLSD). The typical foliar symptoms were associated by several authors to a drastic alteration of photosynthetic functions as well as an activation of defense responses in affected grapevines several days before the appearance of the first visible symptoms on the leaves. Based on these observations, an application of the drone was suggested as an innovative tool to investigate the correlation between high-resolution multispectral images acquired by UAV (Unmanned Aerial Vehicle), and GLSD foliar symptoms monitored by ground surveys. This approach was previously validated by assessing the correlation between NDVI acquired by the UAV and GLSD symptoms, and its ability to discriminate symptomatic from asymptomatic plants. To this aim, high-resolution multispectral images were acquired over 2012 and 2013 in June and July in an experimental vineyard, located in Tuscany (Italy), where vines had been surveyed and mapped since 2003. Each vine was mapped with Leica Differential-GPS, and classified for foliar symptoms appearance and diseases severity by a ground survey at week frequency since the beginning of each season. In 2013, the vineyard was analyzed for physiological parameters on single leaves using a Li-Cor 6400 portable photosynthesis system. Remote sensing and ground observation data were analyzed to promptly identify the early stages of the symptoms, even before visual detection. This application has produced interesting results, which open up new perspectives on the use of innovative technologies in remote sensing for precision viticulture as UAV platforms. Its use has allowed a better knowledge of the spatial distribution of the disease in the vineyard, and its correlation with the physiological status of the vines, in order to improve the control strategies and management against Esca complex disease. Drone features such as low cost, capability of timely provision of high resolution images, flexibility of use in terms of flight planning, provide a methodological approach that can be easily applied for investigation and control in the vineyard, both in terms of experimental research and operational applications.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
