Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310985458> ?p ?o ?g. }
Showing items 1 to 61 of
61
with 100 items per page.
- W4310985458 abstract "The recent deployment of GNSS-RTK positioning on remotely piloted vehicles has increased real-time positioning accuracy by almost three orders of magnitude. This not only provides a significant geometric improvement but, in practice, makes possible some applications that were simply not possible before. For example, positioning crops with centimetre accuracy makes it possible to distinguish a single plant and to detect or treat that very plant without any possibility of misunderstanding. This is obviously not possible with ‘traditional’ drones that work in ‘point positioning’ with indeterminacies of even tens of metres. In this paper we will illustrate how the possibilities of RTK can be applied to a specific vinepathology. The symptoms of the flavescence dorée and bois noir are grouped into the so-called Grapevine Yellows (GY). These diseases are affecting the viticultural regions worldwide and all varieties and rootstocks seem susceptible but with varying degrees of severity. Typical symptoms include discolouration and necrosis of leaf veins and leaf blades, downward curling of leaves, lack or incomplete lignification of shoots, stunting and necrosis of shoots, abortion of inflorescences and shrivelling of berries. The compulsory control plan for the fight of these diseases includes both the use of insecticides and the eradication of the vines. This latter is part of a monitoring plan of the grapevine yellows that aims to identify outbreaks of the disease and its progression and limit the compulsory phytosanitary control only in the truly affected areas. The identification of the GY is a very time-consuming technical work because each vineyard must be visually inspected plant by plant. This type of monitoring is made even more difficult in the case of steeply sloping vineyards and where the vineyard landscape is fragmented. So, we raised the following question: is it possible to use Unmanned Aerial Vehicles (UAVs or drones) to remotely monitor the vines that are difficult to reach and identify the grapevine yellows? We present here the results of our field tests made in Trentino (IT) with different drone models (prosumer and professional) and with different types of image acquisition sensors (RGB and multi-spectral)." @default.
- W4310985458 created "2022-12-22" @default.
- W4310985458 creator A5023672422 @default.
- W4310985458 creator A5050810192 @default.
- W4310985458 creator A5090958602 @default.
- W4310985458 date "2022-11-03" @default.
- W4310985458 modified "2023-09-27" @default.
- W4310985458 title "How important is UAVs RTK accuracy for the identification of certain vine diseases?" @default.
- W4310985458 cites W200793777 @default.
- W4310985458 cites W2019610851 @default.
- W4310985458 cites W2025653988 @default.
- W4310985458 cites W2166516660 @default.
- W4310985458 cites W2436494909 @default.
- W4310985458 cites W2577537660 @default.
- W4310985458 cites W2612449331 @default.
- W4310985458 cites W2887998008 @default.
- W4310985458 cites W2892501080 @default.
- W4310985458 cites W2906082851 @default.
- W4310985458 cites W4220983769 @default.
- W4310985458 cites W4281925746 @default.
- W4310985458 cites W4289934338 @default.
- W4310985458 doi "https://doi.org/10.1109/metroagrifor55389.2022.9964928" @default.
- W4310985458 hasPublicationYear "2022" @default.
- W4310985458 type Work @default.
- W4310985458 citedByCount "0" @default.
- W4310985458 crossrefType "proceedings-article" @default.
- W4310985458 hasAuthorship W4310985458A5023672422 @default.
- W4310985458 hasAuthorship W4310985458A5050810192 @default.
- W4310985458 hasAuthorship W4310985458A5090958602 @default.
- W4310985458 hasConcept C116834253 @default.
- W4310985458 hasConcept C144027150 @default.
- W4310985458 hasConcept C178165689 @default.
- W4310985458 hasConcept C2780924976 @default.
- W4310985458 hasConcept C2781214258 @default.
- W4310985458 hasConcept C41008148 @default.
- W4310985458 hasConcept C59822182 @default.
- W4310985458 hasConcept C86803240 @default.
- W4310985458 hasConceptScore W4310985458C116834253 @default.
- W4310985458 hasConceptScore W4310985458C144027150 @default.
- W4310985458 hasConceptScore W4310985458C178165689 @default.
- W4310985458 hasConceptScore W4310985458C2780924976 @default.
- W4310985458 hasConceptScore W4310985458C2781214258 @default.
- W4310985458 hasConceptScore W4310985458C41008148 @default.
- W4310985458 hasConceptScore W4310985458C59822182 @default.
- W4310985458 hasConceptScore W4310985458C86803240 @default.
- W4310985458 hasLocation W43109854581 @default.
- W4310985458 hasOpenAccess W4310985458 @default.
- W4310985458 hasPrimaryLocation W43109854581 @default.
- W4310985458 hasRelatedWork W112188040 @default.
- W4310985458 hasRelatedWork W1679702360 @default.
- W4310985458 hasRelatedWork W2094936993 @default.
- W4310985458 hasRelatedWork W2127990503 @default.
- W4310985458 hasRelatedWork W2155367094 @default.
- W4310985458 hasRelatedWork W2300259856 @default.
- W4310985458 hasRelatedWork W2402842490 @default.
- W4310985458 hasRelatedWork W2900286136 @default.
- W4310985458 hasRelatedWork W3193550351 @default.
- W4310985458 hasRelatedWork W4255399482 @default.
- W4310985458 isParatext "false" @default.
- W4310985458 isRetracted "false" @default.
- W4310985458 workType "article" @default.