scholarly journals Evaluation of deep learning architectures applied to identification of diseases in grape leaves

2018 ◽  
Author(s):  
Flávio R. S. Oliveira ◽  
Felipe C. Farias ◽  
Bernardo João de Barros Caldas

Vale do São Francisco in Pernambuco is one of the most economically important poles in the state and among its cultivars, it is worth mentioning the grape culture. This sector faces challenges related to the response time between identifying a field infestation and taking corrective actions, in order to minimize losses. This work comprises a comparative analysis between deep learning architectures, applied to identification of diseases in grape cultivars. Results suggest that the use of these technologies is plausible to differentiate healthy grape leaves from leaves presenting one of three different types of diseases, obtaining near 100% accuracy in studied database using an architecture that can be employed in embedded devices.

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
K Thirumaran ◽  
Emiel L. Eijdenberg

Abstract This study explores two different destination membership card models with the aim of developing a comprehensive framework for understanding this aspect of elite travel. Through a comparative analysis of the different types of destination membership cards, we develop a model that situates tourism knowledge and suggests areas of further research in this under-explored area. Two important destination membership card models are identified: state supported and private sector based. The state-supported agent offers privileged membership, consolidates resources, and creates exclusive experiences. Conversely, the private-sector-based agent tends to amass the resources offered by destination businesses to create exclusive services and provide special access to resources. Both types are significant agents that channel and empower travellers in the high-end segment, thereby creating further differentiation in products and services in the context of market segmentation.


2020 ◽  
Author(s):  
vinayakumar ravi ◽  
Soman KP ◽  
Mamoun Alazab ◽  
Sriram S ◽  
Simran k

<div>This work aims to review the state-of-the-art deep learning architectures in Cyber Security applications by highlighting the contributions and challenges from various recent research papers.<br></div>


2020 ◽  
Author(s):  
vinayakumar ravi ◽  
Soman KP ◽  
Mamoun Alazab ◽  
Sriram S ◽  
Simran k

<div>This work aims to review the state-of-the-art deep learning architectures in Cyber Security applications by highlighting the contributions and challenges from various recent research papers.<br></div>


2020 ◽  
pp. 101473
Author(s):  
Aimon Rahman ◽  
Hasib Zunair ◽  
Tamanna Rahman Reme ◽  
M Sohel Rahman ◽  
M.R.C. Mahdy

2021 ◽  
pp. 263-274
Author(s):  
Gopal Sakarkar ◽  
Ketan Paithankar ◽  
Prateek Dutta ◽  
Gaurav Patil ◽  
Shivam ◽  
...  

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