Brassica Black Rot Severity Levels classification based on Multimodal Convolutional Neural Networks and Support Vector Machines

Upadhyay, Deepak; Manwal, Manika; Yadav, Ajay Pratap Singh; Kukreja, Vinay; Sharma, Rishabh

doi:10.1109/ic2pct60090.2024.10486264

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Cited by 5 publications

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Automatic Cauliflower Disease Detection Using Fine-Tuning Transfer Learning Approach

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SN COMPUT. SCI.

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Digital Transformation in the Sports Industry

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Gill

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The convergence of digital transformation and circular economy is reshaping the sports industry, offering innovative pathways for sustainable development. By leveraging IoT, AI, blockchain, and advanced data analytics, stakeholders can optimize equipment lifecycle management and infrastructure efficiency, minimizing waste and maximizing resource reuse. From smart stadiums to eco-friendly gear, digital advancements are revolutionizing both manufacturing and operational practices, fostering a circular ecosystem. This chapter explores the pivotal role of technology in driving the shift towards a sustainable, resilient sports landscape, supported by emerging trends, case studies, and actionable frameworks for industry-wide implementation.

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The Rise of Product-as-a-Service Models in the Digital Era

Ingle,

Khati,

Dahiya

2024

Advances in Finance, Accounting, and Economics

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This chapter delves into the rise of Product-as-a-Service (PaaS) models in the digital age and their pivotal role in fostering circular innovation. As environmental concerns and resource scarcity grow, businesses rethink traditional ownership-based models. PaaS emphasizes access over ownership, allowing companies to retain control of products while offering usage-based services. This transition, enabled by digital technologies such as IoT, AI, and big data, extends product lifecycles, enhances resource efficiency, and minimizes waste. This chapter demonstrates how PaaS can drive sustainable business models and circular economies by examining sectoral applications and real-world case studies.

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Brassica Black Rot Severity Levels classification based on Multimodal Convolutional Neural Networks and Support Vector Machines

Cited by 5 publications

References 14 publications

Automatic Cauliflower Disease Detection Using Fine-Tuning Transfer Learning Approach

Automatic Cauliflower Disease Detection Using Fine-Tuning Transfer Learning Approach

Digital Transformation in the Sports Industry

The Rise of Product-as-a-Service Models in the Digital Era

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