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Assistant Professor Dr Hemantha Kumar Kalluri from the Department of Computer Science and Engineering and post-doctoral fellow, Dr Premkumar Borugadda have published a research paper titled, A Comprehensive Analysis of Artificial Intelligence, Machine Learning, Deep Learning and Computer Vision in Food Science. This significant research explores how Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Computer Vision (CV) are making food processing smarter and more reliable.

Here’s a brief on their findings and the social and practical implementations of their work.

A Brief Abstract

Providing safe and quality food is crucial for every household and is of extreme significance in the growth of any society. It is a complex procedure that deals with all issues focusing on the development of food processing from seed to harvest, storage, preparation, and consumption. This current paper seeks to demystify the importance of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Computer Vision (CV) in ensuring food safety and quality. By stressing the importance of these technologies, the audience will feel reassured and confident in their potential. These are very handy for such problems, giving assurance over food safety. CV is incredibly noble in today’s generation because it improves food processing quality and positively impacts firms and researchers. Thus, at the present production stage, rich in image processing and computer visioning is incorporated into all facets of food production. In this field, DL and ML are implemented to identify the type of food in addition to quality. Concerning data and result-oriented perceptions, one has found similarities regarding various approaches. As a result, the findings of this study will be helpful for scholars looking for a proper approach to identify the quality of food offered. It helps to indicate which food products have been discussed by other scholars and lets the reader know papers by other scholars inclined to research further. Also, deep learning is accurately integrated with identifying the quality and safety of foods in the market. This paper describes the current practices and concerns of ML, DL, and probable trends for its future development.

Explanation of the Research in Layperson’s Terms

The research explores how Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Computer Vision (CV) are making food processing smarter and more reliable.

AI and ML in Food Processing

  • AI-powered systems can predict food spoilage, detect harmful contaminants, and ensure food is stored at the right temperature.
  • ML models learn from past data to improve food quality, making processing more efficient and reducing waste.

 Computer Vision (CV) for Food Inspection

  • Cameras powered by AI can analyse food products and detect defects, ensuring only high-quality food reaches consumers.
  • CV helps in sorting fruits and vegetables based on size, colour, and ripeness, reducing human error and speeding up production.
  • It is also used to check food packaging for defects and prevent contamination.

 Deep Learning for Better Food Safety

  • Deep learning, a more advanced type of AI, helps identify patterns in food quality data.
  • It is used to detect food adulteration (unwanted substances added to food), ensuring that the food we consume is pure and safe.
  • DL models can also classify different types of food and analyse their nutritional content.

Future of Smart Food Processing

  • As AI and ML continue to evolve, food production will become more automated, reducing human labour while increasing efficiency.
  • These technologies will help minimise food waste, improve supply chains, and provide personalised nutrition recommendations.
  • By integrating AI with real-time monitoring, food safety can be ensured on a global scale.

Practical Implementation and Social Implications

The research on Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Computer Vision (CV) in Food Science has significant real-world applications and social implications:

Practical Implementation

Our research has directed the researchers to develop applications in various stages of the food industry, from agriculture to food processing, quality control, and distribution. Here are some key practical implementations:

  1. Smart Food Inspection and Quality Control

1.1 Computer Vision (CV) & Deep Learning (DL) for Defect Detection

  • AI-powered cameras can detect defects in fruits, vegetables, and packaged food (e.g., detecting bruises in apples and sorting out contaminated grains).
  • AI enhances automated food grading and sorting, reducing human error.

1.2 AI for Food Adulteration Detection

  • AI models analyse food samples for contaminants, chemical adulterants, and spoilage (e.g., identifying milk adulteration using spectral data).
  • Deep learning algorithms predict shelf life based on packaging conditions.

  2. AI in Food Safety and Hygiene Monitoring

2.1 AI-based Sensors for Real-time Food Safety Checks

  • AI-driven sensors monitor temperature, humidity, and hygiene conditions in food storage units and supermarkets.
  • ML-based forecasting predicts food spoilage before it happens, reducing foodborne diseases.

This research bridges the gap between technology and food security, ensuring that AI and ML can revolutionise the way food is produced, processed, and consumed. These technologies enhance quality control, reduce food waste, ensure hygiene, and support sustainable agriculture, leading to a healthier, safer, and more efficient global food system.

Future Research Plans.

AI-Powered Automated Food Sorting & Grading

  • Use Computer Vision & Deep Learning to automate sorting of grains, fruits, and vegetables based on size, ripeness, and defects.
  • Implement Deep Learning models for real-time sorting in food processing units.

Dr Syantan Thakur, Assistant Professor at the Department of Literature and Languages in the Easwari School of Liberal Arts, analyses the Bāull Philosophy through its stories and songs, which project women as a vessel for spiritual realisation and at the same time subject her individuality so as to idealise patriarchal norms. Read the interesting excerpt about his paper to learn more about the topic.

A Brief Abstract of the Research

This research explores how the Bāul tradition of Bengal represents the female body within its mystical and countercultural spiritual philosophy. Central to Bāul belief is deho-tattva—the philosophy that the human body, especially the female body, is the vessel through which spiritual realization is possible. The paper critically examines how women’s bodies are portrayed as sites of divine power (śakti) but are simultaneously idealized in ways that risk reinforcing patriarchal structures. By drawing on feminist theorists like Simone de Beauvoir, Judith Butler, Luce Irigaray, and Rita Gross, the study interrogates whether the Bāul tradition’s symbolic reverence of women genuinely affirms women’s agency or instead reduces them to metaphors for male spiritual advancement. Using Bengali Bāul songs, ethnographic insights, and comparative references to other South Asian mystical traditions, this research argues that the Bāul approach embodies both liberatory and constraining elements for women. The paper calls for an intersectional feminist lens to reconcile these contradictions and to imagine a spiritual practice that fully recognizes the lived experiences and autonomous subjectivity of women within the Bāul cosmos.

Explanation of the Research in Layperson’s Terms

This study looks at a group of mystical singers and spiritual practitioners in Bengal called the Bāuls. They believe that the human body, especially a woman’s body, is sacred and full of divine power. Unlike some other religious traditions that say we should reject the body to find God, the Bāuls say we should honor the body because it connects us to the divine. However, there’s a twist: while the Bāuls praise women’s bodies as powerful and holy, they often do this in ways that turn real women into symbols instead of seeing them as people with their own voices and choices. My research asks: does calling a woman “divine” really help her in everyday life, or does it just make her part of someone else’s story? By studying Bāul songs and talking about feminist ideas, my work tries to show both sides of this spiritual practice—how it can free women from some social limits but also how it might quietly keep old inequalities alive. In the end, it’s about finding a fair balance between spiritual ideas and real-life respect for women

Practical Implementation and Social Implications

This research has important implications for how we think about gender, religion, and cultural traditions today. First, it encourages scholars, artists, and spiritual communities to look critically at how women are represented—not just as sacred symbols but as real people with voices and choices. For Bāul practitioners and followers, the study invites reflection on how to preserve the liberating parts of their tradition while addressing parts that may still reflect patriarchal ideas. Socially, the paper highlights the need for conversations about how spirituality and feminism can work together, especially in India where women often face both religious and cultural restrictions. By showing how the Bāuls both challenge and sometimes uphold old gender roles, this research can help communities, policymakers, and educators find better ways to support women’s rights within cultural practices. Practically, it suggests that empowering female Bāuls—called Bāulinīs—to share their own stories, perform publicly, and teach in their own voices can shift the tradition toward greater gender equality. Overall, this study shows that spiritual traditions can be part of modern conversations about gender justice if we approach them with openness, respect, and critical thinking.

Future Research Plans

  • Regional Literature in Translation
  • Tantric Tradition and Eastern Indian Literature
  • Folk Music of Bengal
  • Indian Philosophy, Aesthetics & Literature

The Link to the Article

Badminton star, Rushendra Thirupathi, a first-year BBA student, clinched the silver medal in the Men’s Singles category at the Yonex-Sunrise 11th Telangana State Senior Badminton Championship 2025. Hailing from the state of Telangana, Rushendra’s dedication, discipline and relentless efforts have forged his name in the charts of successful champions in the field of Badminton.

Previously, Rushendra secured gold at the Yonex-Sunrise 46th Junior National Badminton Championships 2023 at Bengaluru and a bronze medal in the NMDC Telangana International Challenge in 2024. After a six-month break, Rushendra returned to the courts with zeal and passion and triumphed through the championship, competing with 142 athletes, placing second after a fierce final match.

After a well-awaited victory, Rushendra expressed his gratitude to his coaches, trainers, and team, who supported him during his time off. He said, “I am sincerely thankful to my coach, mentors, and team from the Gopichand Academy and SRM University-AP, who believed in me and my skills. Their guidance and support empowered me to overcome all difficulties and excel in the championship finals.”

Director of Sports, Mr Anup Singh Suryavanshi, applauded his remarkable achievement and congratulated the silver medallist. He commented, “This outstanding accolade is a testament to his fighting spirit and the well-rounded training system and facilities offered at SRM University-AP. We empower our athletes to rise, compete, and conquer national and international tournaments.”

Prof Ch. Satish Kumar, Pro-Vice Chancellor, appreciated the student. He quoted, “Achievements like this make the university proud and motivate the trainers and coaching team to put in their extra efforts to prepare students for such events.”

Prof. Manoj K Arora, Vice Chancellor, also expressed his appreciation for Rushendra, stating that the accomplishments of the rising sports star reflect the university’s spirit—ambitious and unstoppable. He commented, “We take immense pride in the ecosystem SRM AP has built to nurture excellence in sports and support our athletes to be champions of national pride.” The university continues to nurture athletes in various fields, offering divergent training and world-class facilities to generate sporting aces of the country.

Hans India, ranked SRM University-AP No. 1 in three prestigious categories: National Best Private University, the Andhra Pradesh Best Business School (awarded to Paari School of Business, the management precinct of SRM AP), and Excellence in Smart Campus & Classroom Infrastructure at the Hans India Technical Education Awards-2025. The recognition acknowledges the varsity’s commitment to excellence in all fields of development and offers a significant contribution to the education sector.

The recognition was given to the university in the presence of the Chief Guest and Member of Parliament Shri Paka Venkata Satyanarayana and the members of the SRM AP leadership, ProVice-Chancellor, Prof. Ch Satish Kumar; Dean Incharge-Paari School of Business, Dr S V Ramana Rao; and Mr Anup Singh Suryavanshi, Director of CLM.

Speaking on the occasion, the Hon’ble Member of Parliament stated, “Educational institutions play a pivotal role not only in shaping future generations but also in the development of the country’s economy. The landscape of education needs to be redefined. Marks as a criterion for evaluation do not ensure knowledge.“

Pro Vice-Chancellor, Prof. Ch Satish Kumar, who received the award on behalf of the university, remarked, “This prestigious recognition is a testament to SRM AP’s commitment to excellence in education and our dedication to shaping leaders of tomorrow.”

Vice Chancellor Prof. Manoj K Arora extended his heartfelt congratulations to the members of the varsity, Paari School of Business, and the Campus Life and Maintenance team for their exemplary support and dedication towards the varsity’s growth.

 

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