Spatial Variation in Blooming and Yield in an Apple Orchard, in Romania

Teodorescu, Gabriela; Moise, V.; Cosac, Aurelia Corina

doi:10.1515/agr-2016-0001

Cited by 3 publications

(3 citation statements)

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“…For the CHM, the DTM was subtracted from the DSM. The tree or plot was extracted from the CHM and as a last step the pixel values of the CHM of each tree or plot were summed to get a proxy for the tree volume in cm 3 . As large canopies can still have an open architecture, the percentage and amount of overlapping flower clusters was also calculated.…”

Section: Magnitude Of the Flower Occlusion Problemmentioning

confidence: 99%

“…Visual flower counting is currently the most common approach for bloom intensity estimation in orchards, but is a technique which is time consuming, labor-intensive and prone to errors if not done by experts. Since only a limited sample of the trees is inspected, extrapolation to the entire orchard relies strongly on the grower's experience as no information on the spatial variability within the orchards is provided [1][2][3]. These limitations, in combination with the short-term nature of flower appearance, make an automated method highly desirable.…”

Section: Introductionmentioning

confidence: 99%

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Pear Flower Cluster Quantification Using RGB Drone Imagery

et al. 2020

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High quality fruit production requires the regulation of the crop load on fruit trees by reducing the number of flowers and fruitlets early in the growing season, if the bearing is too high. Several automated flower cluster quantification methods based on proximal and remote imagery methods have been proposed to estimate flower cluster numbers, but their overall performance is still far from satisfactory. For other methods, the performance of the method to estimate flower clusters within a tree is unknown since they were only tested on images from one perspective. One of the main reported bottlenecks is the presence of occluded flowers due to limitations of the top-view perspective of the platform-sensor combinations. In order to tackle this problem, the multi-view perspective from the Red–Green–Blue (RGB) colored dense point clouds retrieved from drone imagery are compared and evaluated against the field-based flower cluster number per tree. Experimental results obtained on a dataset of two pear tree orchards (N = 144) demonstrate that our 3D object-based method, a combination of pixel-based classification with the stochastic gradient boosting algorithm and density-based clustering (DBSCAN), significantly outperforms the state-of-the-art in flower cluster estimations from the 2D top-view (R2 = 0.53), with R2 > 0.7 and RRMSE < 15%.

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Section: Magnitude Of the Flower Occlusion Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Pear Flower Cluster Quantification Using RGB Drone Imagery

et al. 2020

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“…Each locality in the region has an important collection of historical monuments, listed in the inventory of cultural heritage sites compiled by the Romanian Ministry of Culture. Despite this wealth, few of these monuments have been studied, made known, or maintained and integrated into tourist or cultural circuits [23,24]. However, this can be an advantage for those who wish to discover the past of this province.…”

Section: Introductionmentioning

confidence: 99%

Accessibility and Tourist Satisfaction—Influencing Factors for Tourism in Dobrogea, Romania

2023

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Dobrogea is a region in Romania that boasts a rich cultural heritage, with a significant number of historical monuments, as well as breathtaking landscapes that attract tourists. The aim of this study was to evaluate the level of accessibility for seven of the most popular tourist attractions in Dobrogea, which were selected on the basis of their physical, geographic, religious, and historical significance. Furthermore, the level of satisfaction among tourists who visit each attraction was also assessed. Methodologically, several working and data processing methods specific to accessibility analysis were used, and graphic materials were produced to highlight the results obtained. To analyse tourist satisfaction, the researchers conducted interviews with 718 tourists who visited the attractions between June and September of 2022. The findings of this study can provide valuable information to local communities regarding the tourism potential of the region and the accessibility of its attractions. These data can be used to identify areas where roads need to be built or rehabilitated to improve accessibility to important tourist sites. By providing easy access to Dobrogea’s many attractions and ensuring that tourists are satisfied with their experiences, the region can become a top tourist destination in Romania.

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