Redirigiendo al acceso original de articulo en 21 segundos...
ARTÍCULO
TITULO

A survey on plant disease prediction using machine learning and deep learning techniques

UshaDevi G    
gokulnath BV    

Resumen

No disponible

 Artículos similares

       
 
Yumiko Yasuda and Yelysaveta Demydenko    
The management of transboundary water resources presents a complex challenge involving multiple stakeholders and countries. Negotiating a single rule for managing these resources can take years due to various factors, including political, socioeconomic, ... ver más
Revista: Water

 
Tobias Zeulner, Gerhard Johann Hagerer, Moritz Müller, Ignacio Vazquez and Peter A. Gloor    
Current methods for assessing individual well-being in team collaboration at the workplace often rely on manually collected surveys. This limits continuous real-world data collection and proactive measures to improve team member workplace satisfaction. W... ver más
Revista: Information

 
Deepanjal Shrestha, Tan Wenan, Deepmala Shrestha, Neesha Rajkarnikar and Seung-Ryul Jeong    
This study introduces a data-driven and machine-learning approach to design a personalized tourist recommendation system for Nepal. It examines key tourist attributes, such as demographics, behaviors, preferences, and satisfaction, to develop four sub-mo... ver más
Revista: Computation

 
Kang Cao, Yongjie Zhang and Jianfei Feng    
As aviation technology advances, numerous new aircraft enter the market. These not only offer airlines technological and fuel efficiency advantages but also present the challenge of how to conduct pilots? aircraft-type transition training efficiently and... ver más
Revista: Aerospace

 
Rohan S. Sharma and Serhat Hosder    
The intent of this work was to investigate the feasibility of developing machine learning models for calculating values of airplane configuration design variables when provided time-series, mission-informed performance data. Shallow artificial neural net... ver más
Revista: Aerospace