Discussion
Started 3 March 2023

Management and adoption of technological innovations in the sugarcane industry in India and Indonesia

I am writing to introduce myself, Priya Jayant, a research scholar at Dayalbagh Educational Institute in Agra, India. My research focuses on the management and adoption of technological innovations in the sugarcane industry. I am reaching out to your esteemed self/ ministry as I am interested in exploring the current status of technology adoption in Indonesia's agriculture sector and how the ministry is managing this process.
I understand that Indonesia is one of the leading sugarcane producers in the world, and I believe that my research can provide valuable insights into how the sector can benefit from technological advancements. As part of my research, I am seeking opportunities to connect with industry experts and stakeholders in Jakarta, Indonesia who can provide me with insights and perspectives on the topic. I would like to learn about the challenges and opportunities facing the sugarcane industry in Indonesia and how stakeholders are managing and adopting technological innovations to improve their operations.

Similar questions and discussions

Special issue “Sustainable Innovations and Advanced Techniques in Composite Structures: Towards a Greener Future
Discussion
Be the first to reply
  • Andrii KondratievAndrii Kondratiev
Dear All,
Special Issue: Sustainable Innovations and Advanced Techniques in Composite Structures: Towards a Greener Future
(Please choose this special issue when submission)
Submission deadline: 31 Jan 2026 (Open for Submission Now)
If you are interested, I expect to receive your tentative title, abstract and submission date.
Thanks for considering it. I would be very grateful if you accepted my invitation by replying to this email. If further information is needed, please feel free to contact me or Ms. Jocelyne Li (jocelyne.li@mdpi.com).
Kind regards,
Guest Editor Team: Andrii Kondratiev, Natalia Smetankina, Oleksii Vambol
The Future of Academic Writing: Predictions and Innovations
Discussion
3 replies
  • Hamza Kweyu OmullahHamza Kweyu Omullah
The Future of Academic Writing: Predictions and Innovations Academic writing is continuously evolving, influenced by technological advancements and shifts in the academic landscape. This article explores current trends, potential technological innovations, and their implications for the future of academic writing. Current Trends in Academic Writing 1. Open Access Publishing: The rise of open access publishing has made academic research more accessible to a global audience. This trend is likely to continue, promoting greater dissemination and impact of scholarly work. 2. Interdisciplinary Research: There is an increasing emphasis on interdisciplinary research, which integrates perspectives from multiple fields to address complex problems. This trend encourages collaboration and innovation in academic writing. 3. Digital Tools and Resources: The use of digital tools for writing, editing, and collaboration has become commonplace. Tools like reference management software, writing assistance programs, and collaborative platforms streamline the writing process. 4. Data-Driven Research: The availability of large datasets and advanced data analysis techniques has led to more data-driven research. This trend is reflected in academic writing, with a greater emphasis on presenting and interpreting data. Potential Technological Innovations 1. Artificial Intelligence (AI) and Machine Learning: • Automated Writing Assistance: AI-powered tools like Grammarly and Hemingway already assist with grammar, style, and clarity. Future advancements could lead to more sophisticated tools that provide context-specific suggestions and even generate content. • Literature Review Automation: AI can help automate the literature review process by identifying relevant papers, summarizing key findings, and highlighting gaps in the literature. • Data Analysis and Visualization: Machine learning algorithms can analyze large datasets, identify patterns, and generate visualizations. This can enhance the presentation of data in academic writing. 2. Blockchain Technology: • Transparent Peer Review: Blockchain can provide a transparent and tamper-proof record of the peer review process, ensuring accountability and integrity. • Intellectual Property Protection: Blockchain can help protect intellectual property by providing a secure and verifiable record of authorship and publication. 3. Virtual and Augmented Reality (VR/AR): • Interactive Content: VR and AR can create immersive and interactive academic content, allowing readers to engage with research in new ways. For example, VR can be used to visualize complex scientific concepts or historical events. 4. Collaborative Platforms: • Enhanced Collaboration: Future collaborative platforms may offer more advanced features for real-time collaboration, version control, and integration with other research tools. This can facilitate seamless teamwork across disciplines and geographical locations. The Impact of These Innovations on Academic Writing 1. Increased Efficiency: Technological innovations can streamline the writing process, reducing the time and effort required to produce high-quality academic work. Automated tools can handle routine tasks, allowing researchers to focus on more complex and creative aspects of writing. 2. Improved Quality: AI-powered writing assistance and automated literature reviews can enhance the quality of academic writing by providing accurate and context-specific suggestions. This can lead to clearer, more coherent, and more impactful research papers. 3. Greater Accessibility: Open access publishing and digital tools make academic research more accessible to a global audience. Innovations like VR/AR can further enhance accessibility by providing interactive and engaging content. 4. Enhanced Collaboration: Advanced collaborative platforms and transparent peer review processes can foster greater collaboration and trust among researchers. This can lead to more interdisciplinary and innovative research projects. Predictions for the Future of Academic Writing 1. Integration of AI and Human Creativity: The future of academic writing will likely involve a seamless integration of AI tools and human creativity. AI can handle routine tasks and provide suggestions, while researchers focus on generating original ideas and insights. 2. Personalized Writing Assistance: AI-powered tools will become more personalized, offering tailored suggestions based on individual writing styles and preferences. This can help researchers develop their unique voice while maintaining high standards of academic writing. 3. Interactive and Multimedia Content: Academic writing will increasingly incorporate interactive and multimedia elements, such as VR/AR visualizations, videos, and interactive data visualizations. This can enhance the engagement and understanding of readers. 4. Open Science and Transparency: The push for open science and transparency will continue to grow, with more research being published in open access journals and transparent peer review processes becoming the norm. This can lead to greater trust and collaboration in the academic community. 5. Global Collaboration: Advances in communication technology will facilitate global collaboration, allowing researchers from different regions and disciplines to work together more effectively. This can lead to more diverse and inclusive research outputs. In conclusion, the future of academic writing is poised for significant transformation, driven by technological advancements and changing academic landscapes. By embracing innovations like AI, blockchain, and VR/AR, researchers can enhance the quality, accessibility, and impact of their work. The integration of these technologies with human creativity and collaboration will shape the future of academic writing, leading to more efficient, engaging, and transparent research practices. #WritingDiscipline #AcademicSuccessTips #ResearchSuccessTips #WritingSuccessTips #AcademicBalance #ResearchBalance #WritingBalance #AcademicWellbeing #ResearchWellbeing #WritingWellbeing #Future #hamnicwriting #hamnicsolutions #innovations #predictions
Bes Seller book on A Researcher’s Guide to Digital Innovation, Sustainability, and Next-Gen Technology in the Fashion
Discussion
1 reply
  • Pushan Kumar DuttaPushan Kumar Dutta
  1. Bharani Murugesan, K. B. Jayanthi, and G. Karthikeyan: These authors focus on integrating digital twins and 3D technologies in fashion to drive sustainability and enhance consumer engagement. Their work explores how these innovations can support eco-friendly practices and redefine consumer interactions in the fashion world.
  2. Bhupinder Singh, Komal Vig, Christian Kaunert, and Pushan Kumar Dutta: Through a groundbreaking study, these authors introduce a “Sketch to Sale” model that leverages digital twins to transform fashion design processes, making them more sustainable and efficient.
  3. Pawan Whig, Vivek Kumar, Vinit Raj, Sahil Kumar Chaudhary, Seema Sharma, Anupriya Jain, and Nikhitha Yathiraju: This team explores the powerful intersection of computer vision and the fashion industry, showcasing how computer vision technologies can revolutionize design, manufacturing, and customer experiences.
  4. Vijay Prakash Gupta, Shebin Sharief, and Shiva Rani: Their chapter investigates the impact of digital fashion and social media influencers within Industry 5.0, highlighting how influencers and digital platforms are redefining the fashion marketing landscape.
  5. Dhanashri Sanadkumar Havale, Pravin Chavan, Hrishikesh Kokate, and Pushan Kumar Dutta: They contribute insights into supply chain management, outlining new horizons that incorporate digital innovation to enhance efficiency and adaptability.
  6. Debashree Chakravarty, Ipseeta Satpathy, and B. C. M. Patnaik: Focusing on sustainable goals, these authors tackle challenges in the fashion supply chain, emphasizing the need for responsible sourcing and operations to support long-term ecological balance.
  7. Gaurab Kumar Sharma and Sunil Dutt Sharma: Their research presents a game-changing strategy for reducing inventory waste in fashion supply chains, offering optimization techniques that minimize waste while boosting efficiency.
  8. C. Vijai and Worakamol Wisetsri: These authors highlight the role of blockchain in enhancing transparency within the fashion supply chain, examining how decentralized technology can build consumer trust and reduce counterfeit goods.
  9. Sankar Roy Maulik and Sanjay Mukhopadhyay: They discuss responsible management in the fashion supply chain, focusing on sustainability as an essential pillar for future industry practices.
  10. Revanasiddappa Havaragi and Chetna Bhagoji: Their chapter emphasizes the significance of Product Lifecycle Management (PLM) and Bill of Materials (BOM) in fashion, shedding light on how these systems can streamline production and ensure quality.
  11. I. Jayalakshmi: This author takes readers beyond traditional fashion by exploring the applications of wool in sustainable textile innovations, presenting functional fabrics that offer environmental benefits.
  12. Keesha Kumar and Mini Srivastava: Through a case for sustainable consumerism, they address how the fashion industry can balance consumer needs with ecological responsibility, encouraging sustainable consumer practices.
  13. Pinar Demircioglu, Semih Donmezer, Ismail Bogrekci, and Numan M. Durakbasa: Their work on ergonomic sizing systems advocates for adapting fashion to diverse body types, which is essential for inclusive and health-conscious design.
  14. R. Radha, S. NaveenTaj, G. Mallikarjuna, V. Shanmugam, C. Radhika, V. Jayasankar Reddy, M. Kishore Babu, and K. Umasankar: They propose the revolutionary 3D-as-a-Service model by LFX, a system that promises to disrupt traditional fashion processes with 3D solutions.
  15. Jayanta Ghosh and Rima Ghosh: This pair examines intellectual property protections in fashion, addressing the urgent need for safeguarding creativity and innovation against infringement.
  16. Alshaimaa Bahgat Alanadoly, Sarabjit Kaur Sidhu, and Nastaran Richards-Carpenter: They map out the AI landscape in fashion, covering transformative AI applications that are reshaping design, supply chain management, and customer experience.
  17. Priya Sachdeva and Archan Mitra: Their synergistic approach combines digital innovation and biomimicry for sustainable design in fast fashion, exploring ways to reduce waste and environmental impact.
  18. Vidushi and Parul Dawar: These authors delve into ethical considerations within the sustainable fashion industry, advocating for transparency and responsible practices.
  19. Srijana Baruah: She offers a unique perspective on the fashion industry within the Anthropocene, examining how fashion must evolve in response to ecological and societal shifts.
  20. Geetha Manoharan, Sunitha Purushottam Ashtikar, M. Nivedha, and P. K. Dutta: This team examines AI’s ascendancy in fashion, spotlighting its applications in trend forecasting, consumer analysis, and personalized fashion experiences.
  21. Arpita Nayak and Ipseeta Satpathy: They highlight the creativity unleashed by AI in fashion, celebrating the fusion of technology and artistry that AI brings to design.
  22. Meeta Siddhu and Shehwar Mohibi: Their case study of AI in emerging economies explores how artificial intelligence can enhance fashion's accessibility, offering tailored solutions in diverse markets.
  23. Pinar Demircioglu, Semih Donmezer, Ismail Bogrekci, and Numan M. Durakbasa: In another collaborative effort, they discuss Garment Industry 5.0 and the digital integration of virtual measurement data to create efficient, precise manufacturing.
  24. I. Jayalakshmi, D. Vasanthi, and V. Varadharaja Perumal: These authors explore the contributions of digital twins in fashion supply chains, advocating for integrated processes to enhance responsiveness and sustainability.
  25. Michele Fiorini, G. Arun Sampaul Thomas, P. K. Dutta, S. Sathish Kumar, and Beulah J. Karthikeya: Their chapter provides an assessment of digital infrastructure and asset management, highlighting tools for effective communication and decomposition in the fashion industry.
Each author’s work adds a unique perspective to this volume, pushing the boundaries of how information systems engineering and digital innovations can propel the fashion industry into a sustainable and technologically advanced future. Their collective insights are invaluable for those looking to understand and apply the latest digital transformations in the fashion sector.
🚨 Tackling Global Challenges with Innovation 🚨
Discussion
2 replies
  • Xiuli ChenXiuli Chen
The Chinese Association for Science and Technology, USA (CAST-USA) is taking a bold step forward as the world faces increasingly complex challenges- from climate change to resource depletion and digital transformation. At the 32nd Anniversary Annual Conference and Global Innovation Summit 2024 in San Diego, thought leaders gathered to address these pressing issues with groundbreaking research and strategic solutions. 🌍🔧
One of the central themes discussed was the critical need for sustainable energy solutions and innovations in AI to address climate change and the global resource crisis. With keynote speakers like Nobel Laureate Dr. Kurt Wuthrich and trailblazers such as Dr. Peidong Yang and Dr. Yi Cui, the summit emphasized how semiconductor nanowires and next-gen batteries are pivotal to creating a sustainable future. However, challenges remain. How do we accelerate the adoption and scale of these technologies globally? ⚡🌿
By promoting international cooperation and leveraging cutting-edge AI technologies in partnership with global industries, this strategy is paving the way for solutions that can cross borders and impact industries worldwide. More global engagement and policy support are needed to make these innovations accessible where needed. 🌐🤝
Another major topic was the legal risks and operational barriers faced by businesses expanding overseas. Forum IV, dedicated to overseas enterprise development, delved into the critical issue of navigating complex regulatory environments—a challenge hindering the growth of global tech and sustainability ventures.
The conference also highlighted the innovative efforts of young minds, with the Innovation Pitch Competition showcasing cutting-edge ideas in biopharmaceuticals, medical devices, and AI-driven solutions. These emerging technologies hold promise, but how can we bridge the gap between research labs and real-world impact in the face of global uncertainty?
🔗 Let’s discuss how science, technology, and global strategy can come together to solve today’s urgent challenges. Join the conversation as we explore these key takeaways and the path forward for sustainable, innovation-driven solutions. 🌟
Can artificial intelligence create real innovations when it learns from what humans have previously created?
Discussion
10 replies
  • Dariusz ProkopowiczDariusz Prokopowicz
Can artificial intelligence create innovations with the help of artificial intelligence, since the knowledge bases of AI applications contain what humans have already created before?
Can innovations be created with the help of artificial intelligence, since AI-based applications have been trained on existing achievements already created by humans before?
Can new innovations, including technological innovations, be created with the help of generative artificial intelligence technology, since AI-based applications have been trained through a process of deep learning on existing achievements previously created by humans?
The key issue in this kind of consideration is to answer the question of what is a fully new solution, what is an innovation. Generative artificial intelligence technology, combined with other Industry 4.0/5.0 technologies, including Big Data Analytics and computers equipped with high-performance microprocessors, enable multi-criteria, advanced processing of large information datasets in many times less time than if a human were to do it without the use of the aforementioned technologies. Advanced information systems equipped with generative artificial intelligence technology backed by high computing power computers make it possible, through a process of deep learning, to train intelligent chatbots to carry out specific tasks and commands much faster and more efficiently than a human can do the same. In a situation where intelligent advanced language models that enable a machine to carry on a conversation with a human were learned on large collections of data and information, including online databases of scientific knowledge that contain millions of scientific texts and/or databases of other publications, the texts generated by intelligent chatbots will be created much faster than a human would and, in addition, will be generated on the basis of processing, analysis, inference, etc. of thousands or millions of different source texts. This is virtually impossible for a human to do. However, whether the texts generated by intelligent chatbots will contain innovative solutions, whether they will be created in an innovative way, whether they will contain proposals for innovative implementation of a specific task, command, etc., this will already depend mainly on how this issue will be programmed in these machines by a human. Unless, in the future, autonomously functioning highly intelligent robots will be created, which will be equipped with a strong general artificial intelligence and will thus be able to act independently within a certain range of independence, will be able to self-improve, repair their own faults, will be able to learn just like a human being, over time will become better and better at performing various types of activities previously performed exclusively by humans then perhaps they will also learn to solve certain tasks in a highly innovative manner themselves. But this is a matter for consideration for the perspective of the next dozen or so years of dynamic development of AI technology and its applications.
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
And the applications of Big Data technologies in sentiment analysis, business analytics and risk management were described in my co-authored article:
APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION
I invite you to familiarize yourself with the issues described in the publications given above, and to scientific cooperation in these issues.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Is it possible to create new innovations, including technological innovations, with the help of generative artificial intelligence technology, since AI-based applications have been trained through a process of deep learning on existing achievements previously created by humans?
Can innovations be created with the help of artificial intelligence, since the knowledge bases of AI applications contain what humans have already created before?
Can artificial intelligence create real innovations when it learns from what humans have already created before?
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
What are the Current and Emerging Qualitative Research Topics in Supply Chain Management?
Question
1 answer
  • Usman AhmadUsman Ahmad
Hello esteemed colleagues,
I am reaching out to the research community to gather insights on the latest and emerging qualitative research topics in the field of supply chain management. As we all know, the supply chain domain is constantly evolving, driven by technological advancements, changing market dynamics, and global challenges. While quantitative research has traditionally dominated the field, qualitative research offers profound insights into the complex, contextual, and human aspects of supply chains.
I am particularly interested in understanding:
  1. Recent Trends and Innovations: What are the newest trends and innovations in supply chain management that are being explored through qualitative methodologies? This could include case studies, ethnographic research, grounded theory, or narrative analyses.
  2. Sustainability and Ethical Practices: How are qualitative researchers addressing sustainability, ethical practices, and corporate social responsibility within supply chains? Are there any groundbreaking studies or theories emerging in this area?
  3. Supply Chain Resilience and Risk Management: With the increasing frequency of disruptions (e.g., pandemics, geopolitical tensions, natural disasters), what qualitative research is being conducted to understand and improve supply chain resilience and risk management?
  4. Technological Impact: How are emerging technologies (e.g., blockchain, AI, IoT) being studied qualitatively in their application to supply chains? What human, organizational, and strategic dimensions are being uncovered?
  5. Integration and Collaboration: What insights are being gained about supply chain integration, collaboration, and relationship management from a qualitative perspective?
  6. Cultural and Behavioral Aspects: How are cultural, behavioral, and organizational factors influencing supply chain practices, and what qualitative research is shedding light on these dimensions?
  7. Policy and Regulation: Are there any notable qualitative studies exploring the impact of policies, regulations, and trade agreements on supply chains?
I would appreciate it if you could share any recent research papers, ongoing projects, or key conferences and journals that are highlighting these topics. Additionally, personal experiences or insights on promising areas for future qualitative research in supply chain management are highly welcome.
Thank you for your valuable contributions. Looking forward to a rich and engaging discussion.
Best regards,
Usman

Related Publications

Chapter
This chapter looks back at about hundred years of research on red rot of sugarcane in India. Aspects like epidemics caused due to red rot of sugarcane in India and the associated quantitative and qualitative losses have been highlighted. Some of the basic and advanced researches on the pathogen morphology and molecular characterization of Colletotr...
Got a technical question?
Get high-quality answers from experts.