188 documents found, page 1 of 19
Overcoming the challenge of bunch occlusion by leaves for vineyard yield estima...
Victorino, Gonçalo; Braga, Ricardo; Santos-Victor, José; Lopes, C.M.Accurate yield estimation is of utmost importance for the entire grape and wine production chain, yet it remains an extremely challenging process due to high spatial and temporal variability in vineyards. Recent research has focused on using image analysis for vineyard yield estimation, with one of the major obstacles being the high degree of occlusion of bunches by leaves. This work uses canopy features obtain...
How to promote a sustainable weed management strategy in steep slopes vineyards?
Carlos, C.; Menezes, R.; Nave, A.; Lopes, C.M.; Monteiro, A.In steep slope viticulture, the existence of vegetation cover is of utmost importance in order to reduce the risk of erosion. However, under Mediterranean conditions, there is a need for applying costeffective control strategies in areas where vegetation cover may compete with vineyards for soil and/or water resources during the growing season. In Douro Wine Region (DWR) due to the application of longterm chemi...
A Multicultivar Approach for Grape Bunch Weight Estimation Using Image Analysis
Victorino, G.; Poblete-Echeverria, C.; Lopes, C.M.The determination of bunch features that are relevant for bunch weight estimation is an important step in automatic vineyard yield estimation using image analysis. The conversion of 2D image features into mass can be highly dependent on grapevine cultivar, as the bunch morphology varies greatly. This paper aims to explore the relationships between bunch weight and bunch features obtained from image analysis con...
A Review of the Challenges of Using Deep Learning Algorithms to Support Decisio...
Alibabaei, Khadijeh; Gaspar, Pedro D.; Lima, Tânia M.; Campos, Rebeca M.; Girão, Inês; Monteiro, Jorge; Lopes, C.M.Deep Learning has been successfully applied to image recognition, speech recognition, and natural language processing in recent years. Therefore, there has been an incentive to apply it in other fields as well. The field of agriculture is one of the most important fields in which the application of deep learning still needs to be explored, as it has a direct impact on human well-being. In particular, there is a...
Developmental Regulation of Transcription in Touriga Nacional Berries under Def...
Carvalho, Luísa C.; Ramos, Miguel N.J.; Faísca-Silva, David; van der Kellen, D.; Fernandes, João C.; Egipto, Ricardo; Lopes, C.M.; Amâncio, SaraGrapevine (Vitis vinifera L.) is one of the most economically important crops worldwide, especially due to the economic relevance of wine production. Abiotic stress, such as drought, may contribute to low yield, shifts in quality, and important economic loss. The predicted climate change phenomena point to warmer and dryer Mediterranean environmental conditions; as such, it is paramount to study the effects of ...
Accurate estimation of grapevine bunch weight using image analysis: a case stud...
Lopes, C.M.; Graça, J.; Monteiro, A.Vineyard yield estimation can bring several benefits to all the grape and wine production chain. Among several methods the ones based on estimation of yield components are the most used at farm level. However, as they are manual, destructive and very time-consuming, there is a strong demand to replace them with low-cost and reliable automated methods. Recent advances in machine vision have provided accurate too...
Grapevine yield components detection using image analysis: a case study with th...
Vitorino, G.; Lopes, C.M.Today there is a strong demand for fast and reliable vineyard yield estimation methods as it can bring several benefits to the wine industry. Recently, a strong research effort has been made to apply image analysis technologies for the recognition of grapevine yield components (YCs) in ground-based images collected with on-the-go platforms and to automate processing methods for yield estimation. YC detection de...
Grapevine bunch weight estimation using image-based features: comparing the pre...
Lopes, C.M.; Cadima, J.Recent advances in machine vision technologies have provided a multitude of automatic tools for recognition and quantitative estimation of grapevine bunch features in 2D images. However, converting them into bunch weight (BuW) is still a big challenge. This paper aims to compare the explanatory power of the number of visible berries (#vBe) and the bunch area (BuA) in 2D images, in order to predict BuW. A set of...
The effects of field inoculation of arbuscular mycorrhizal fungi through rye do...
Nogales, Amaia; Rottier, Emilien; Campos, Catarina; Victorino, Gonçalo; Costa, Joaquim Miguel; Coito, João Lucas; Pereira, H. Sofia; Viegas, WandaGrapevines are highly dependent on arbuscular mycorrhizal fungi (AMF) for normal growth and development. However, vineyard soils may have low AMF abundance and diversity due to conventional soil management practices that are detrimental for these fungi. In this context, the establishment of AMF-inoculated cover crops can be a highly convenient strategy to reestablish soil mycorrhizal potential, as it combines t...
The role of grapevine leaf morphoanatomical traits determining capacity for cop...
MacMillan, Phoebe; Teixeira, Generosa; Lopes, C.M.; Monteiro, AnaWorldwide, there are thousands of Vitis vinifera grape cultivars used for wine production, creating a large morphological, anatomical, physiological and molecular diversity that needs to be further characterised and explored, with a focus on their capacity to withstand biotic and abiotic stresses. This knowledge can then be used to select better adapted genotypes in order to help face the challenges of the expe...