scholarly journals Plant Identification Using Artificial Intelligence: Innovative Strategies for Teaching Food Biodiversity

Author(s):  
Elias Jacob de Menezes Neto ◽  
Djackson Garcia de Lima ◽  
Ivanilda Soares Feitosa ◽  
Sávio Marcelino Gomes ◽  
Michelle Cristine Medeiros Jacob
2011 ◽  
Vol 255-260 ◽  
pp. 2286-2290 ◽  
Author(s):  
Yang Ying Gan ◽  
Chun Sheng Hou ◽  
Ting Zhou ◽  
Shu Fa Xu

Species identification plays an important role in botanical research, but traditional identification tool, which mainly depends on reference books or identification keys, is often recognized as a difficult and frustrating task, especially for novices. In recent decades, many efforts have been made by taxonomists and programmers to ease the difficulty of species identification by developing a range of tools that increasingly involved the use of computers. In this paper, new advances of plant identification based on three main artificial intelligent technologies: expert system, artificial neural network, and machine vision are briefly introduced. Several trends of plant identification tools for non-expert users are also proposed in the last part.


2021 ◽  
pp. 1-25
Author(s):  
Olayinka Oluwamuyiwa Ojo

Abstract Meeting the rising need for development and tackling the attendant challenges in Africa requires pragmatic and innovative strategies. Although there is evidence that political governance is improving across the continent, these improvements are not meeting the expectations and needs of several sections of the society. Artificial Intelligence (AI) seems to be one tool with a great potential to address these current challenges. Just like every innovative technology, AI has both positive and negative aspects. This article examines the human rights implications of AI introduction into Africa in light of rights enshrined in the African Charter on Human and Peoples’ Rights.


MEST Journal ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 36-42
Author(s):  
Peter Odrakiewicz ◽  
Mykola Orlykovskyi ◽  
Michael Gaylord

This paper seeks to discuss challenges for management education and integrity capital promulgation in innovative ways in the era of Artificial Intelligence (AI) in education and business practice. The authors present some examples of innovative strategies in the new educational era characterized by globalized AI. How will the AI co-instruction affect the acquisition of intellectual capital? Building on previously published articles and ongoing new research, and maintaining that lack of sustainable management practices, corruption in management leads to social exclusion. The paper presents innovative methods of organization's ethics and integrity branding management in diverse organizations focusing on intellectual capital management and sustainability. It proposes that the facilitation of social inclusion can be considered an innovative approach in both business management and management education. It is an opening and invitation to further exploration for finding better means for management education, integrity competencies and intellectual capital, teaching, sharing in business and society in the era of AI in educational institutions and business organizations. In addition, it seeks to build corruption preventative contexts to construct corruption-free organizations that benefit their owners, shareholders, and community stakeholders. A particular focus is on higher educational institutions in this research.


Author(s):  
David L. Poole ◽  
Alan K. Mackworth

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