1,720,961 research outputs found
Apple phenotyping using deep learning and 3D depth analysis: an experimental study on fruitlet sizing during early development
Full text linkFruitlet image dataset for apple phenotyping during early development
No full textThis dataset originates from an experimental study conducted between April 24 and May 29, 2024, aimed at providing agronomists with an automated vision tool to accelerate data collection of apple fruitlets during early development. Excluding corymbs that experienced total fruit abscission, the data acquisition process resulted in 234 video files in .bag format and a total of 1,054 fruitlet measurements. The dataset includes three primary data sources: bag_videos.zip: a collection of videos recorded using the Intel® RealSenseTM Depth Camera D435i. Each video captures target fruitlets from multiple orientations, with an average duration of 10 seconds, at a distance of approximately 30 cm, and a resolution of 640 × 480 pixels; ground_truth_caliper_measurements.csv: the corresponding ground-truth measurements of selected corymbs, collected across 7 monitoring sessions. Measurements were categorized by date and bud type to analyze growth differences over time. Metadata such as the orientation of the vegetative wall and the presence of the king fruit was also recorded; FruitletDetectionDataset.zip: a dataset for model training, validation, and testing, comprising 481 images and corresponding oriented bounding box annotations. The images were obtained through stratified random sampling after RGB frame extraction, ensuring balanced representation across videos. The dataset is split into training (60%), validation (20%), and test (20%) subset
A novel dataset and deep learning object detection benchmark for grapevine pest surveillance
Full text linkDigiAgriApp
No full textDigiAgriApp è una soluzione software gratuita e open source rivolta agli agricoltori e a chiunque abbia terreni coltivati. DigiAgriApp è in grado di salvare le operazioni svolte in campo e tutti i dati provenienti da diversi dispositivi (telefoni cellulari, stazioni meteo, telecomandi come droni o satelliti) in modo capillare, dal campo alla singola pianta. DigiAgriApp è composta da un server API RESTful (sviluppato in Django), come interfaccia al database, e da un client multipiattaforma (sviluppato in Flutter) in grado di essere eseguito nella maggior parte dei sistemi operativi. DigiAgriApp è inoltre dotato di un pannello di amministrazione web che può essere utilizzato da utenti selezionati della vostra organizzazione per avere un controllo completo sui dati del vostro database.DigiAgriApp is a Free and Open Source Software solution aimed at farmers and anyone with cultivated land. DigiAgriApp is able to save the operations carried out in the field and all the data from different devices (mobile phones, weather stations, remotes such as drones or satellites) in a capillary manner, from the field to the individual plant. DigiAgriApp is composed by a RESTful API server (developed in Django), as interface to the database, and a multi-platform client (developed in Flutter) able to be run in most of the operitive systems. DigiAgriApp also comes with a web administration panel that can be used by selected users in your organisation to have complete control over the data in your database
2-class Grapevine Pest Dataset of Scaphoideus titanus and Orientus ishidae on yellow Sticky traps for Insect Detection
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
- …
