![\"\"](\"http:\/\/digitalagro.eu\/wp-content\/uploads\/2021\/06\/HEA_BLO_AGR_Pix4Dfields_Italian_vignards-1-300x169.jpg\")
<\/p>\n<\/p>\n
<\/p>\n
How are drones making a difference in precision viticulture<\/strong><\/p>\n Efficient vineyards need constant care to produce good wine. Drones can apply precision agricultural techniques in vineyard management.<\/p>\n DroneBee is a precision farming company based in Florence, Italy offering highly technological services in precision farming and agronomic consultancy to farms, agricultural consortiums, research institutions, and agronomists.<\/p>\n The company recently worked on two projects using RGB\/multispectral\/thermal sensors mounted on drones to analyze crop health and identify stressed or ill areas in vineyards.<\/p>\n <\/p>\n In this article<\/strong><\/p>\n <\/p>\n Jump to a topic\/project<\/em><\/p>\n <\/p>\n Projects details<\/strong><\/p>\n The first of these projects was done in July 2020 on the big and well-known Chianti Classico winery, near Siena, and the second in September 2020 on a family business winery in Bolgheri. Both Chianti and Bolgheri are two of the most important Italian vineyard production regions, characterized by high-quality wines.<\/p>\n Chianti project: precision irrigation system to recover from grape yield losses<\/strong><\/p>\n <\/p>\n Chianti Classico winery with the hexacopter Zephyr EXOS ready to fly<\/p>\n The Chianti project aimed to properly build up a precision irrigation system over 15 hectares of vineyards to recover from grape yield losses. To assess vineyard vigor and water stress, the DroneBee team flew a drone to acquire thermal and multispectral images. The images were then processed with Pix4Dmapper to get the visible (RGB) orthomosaic, the thermal map, and the reflectance maps.<\/p>\n <\/p>\n Full vineyard vigor map (NDVI) (left), vineyard zonation map in 3 vigor classes (right)<\/p>\n The vigor and thermal maps of the vine rows were analyzed in QGIS by using the NDVI (Normalized Difference Vegetation Index) and the CWSI (Crop Water Stress Index) respectively, after removing the inter-row and soil pixels. Vine rows pixel aggregation in classes have been done in QGIS to highlight three vigor zones (high, medium, low) and four water stress zones (high stress, moderate stress, low stress, no stress), corresponding to four different temperatures zones.<\/p>\n Full vineyard temperature map (\u00b0C) (left), vineyard CWSI map in 4 water stress classes (right)<\/p>\n The final NDVI and CWSI maps have been used to correctly identify stressed areas that will receive more water than the healthy areas. Additionally, missing vines were detected as well.<\/p>\n Bolgheri project: selective harvesting to produce high-quality wines<\/strong><\/p>\n GCP used for the drone flight over the vineyard in Bolgheri<\/p>\n The Bolgheri project aimed to analyze 3 hectares of vineyards, with more than 10 different varieties, to get a two-classes vigor map for grape selective harvesting, which have been then done manually using a smartphone by following the map imported in Google Maps. The selective harvest allowed for collecting grapes coming from different vigor zones to be vinified separately to produce wines of higher quality. This is possible by vinifying the grapes coming from low vigor zones which have more sugar content, as it has been also confirmed by ground sampling on grapes.<\/p>\n <\/p>\n Full vineyard vigor map (NDVI) (left), vineyard zonation map in 2 vigor classes (right)<\/p>\n During this project, an innovative and specific algorithm to process the vineyard point cloud was tested to assess for vines canopy geometry (density, height, thickness, volume), which was useful for evaluating the optimal pesticide dose.<\/p>\n Bolgheri vineyard point cloud analysis<\/p>\n <\/p>\n\n
\n\n
\n Area covered<\/td>\n Chianti project: 15 hectares
\nBolgheri project: 3 hectares<\/td>\n<\/tr>\n\n Number of images:<\/td>\n Chianti project: 1228 (RGB), 4908 (multispectral), 2392 (thermal)
\nBolgheri project: 767 (RGB), 3068 (multispectral)<\/td>\n<\/tr>\n\n Drone & cameras<\/td>\n Parrot Sequoia multispectral camera
\nFLIR Vue Pro R 13mm thermal camera
\nZephyr EXOS hexacopter<\/td>\n<\/tr>\n\n Software<\/td>\n Pix4Dmapper
\nQGIS<\/td>\n<\/tr>\n\n GSD (ground sampling distance)<\/td>\n 1.76 cm\/pixel (RGB), 6.9 cm\/pixel (multispectral), 8.6 cm\/pixel (thermal)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n ![\"\"](\"http:\/\/digitalagro.eu\/wp-content\/uploads\/2021\/06\/IMA_BLO_AGR_Pix4Dfields_Italian_vignards_hexacopter_Zephyr-EXOS-300x169.jpg\")
<\/p>\n![\"\"](\"http:\/\/digitalagro.eu\/wp-content\/uploads\/2021\/06\/IMG_BLO_AGR_Pix4Dfields_Italian_vignards_Chianti_comparaison_NDVI-zonation-300x115.jpg\")
<\/p>\n![\"\"](\"http:\/\/digitalagro.eu\/wp-content\/uploads\/2021\/06\/IMG_BLO_AGR_Pix4Dfields_Italian_vignards_Chianti_comparaison_temperature-map_CWSI-map-300x115.jpg\")
<\/p>\n![\"\"](\"http:\/\/digitalagro.eu\/wp-content\/uploads\/2021\/06\/IMA_BLO_AGR_Pix4Dfields_Italian_vignards_GCP-225x300.jpg\")
<\/p>\n![\"\"](\"http:\/\/digitalagro.eu\/wp-content\/uploads\/2021\/06\/IMG_BLO_AGR_Pix4Dfields_Italian_vignards_Bolgheri_comparaison_NDVI_zonation-300x115.jpg\")
<\/p>\n![\"\"](\"http:\/\/digitalagro.eu\/wp-content\/uploads\/2021\/06\/IMA_BLO_AGR_Pix4Dfields_Italian_vignards_point-cloud-analysis-300x169.jpg\")
<\/p>\n