Vinod Kumar S | Agricultural Engineering | Best Researcher Award

Published-on by Indian Scientist

Dr. Vinod Kumar S | Agricultural Engineering | Best Researcher Award

ICAR-Indian Agricultural Research Institute, New Delhi | India

Dr. Vinod Kumar S is a soil and water conservation engineer whose academic journey has led him through a B.Tech and M.Tech in Agricultural Engineering (with CGPAs of 7.64 and 9.25 respectively), culminating in a Ph.D. in Soil and Water Conservation Engineering (CGPA 8.13) from the ICAR-IARI New Delhi outreach campus. His research portfolio spans sensor-based vertical farming and aquaponic systems, IoT-driven precision drip irrigation and fertigation protocols, remote sensing and GIS for crop monitoring, and greenhouse automation. With published work including smart drip irrigation systems for horticultural crops and indoor aquaponics, his h-index stands at 4 with over 100 citations to date.Dr. Kumar has held positions such as Senior Research Fellow and Research Associate at ICAR-institutes, developing nano-sensors and cloud-based networks for real-time irrigation and innovative aquaponic solutions. His contributions have been recognised with awards including Best Oral Presentation and Best Poster at national conferences. He is passionate about enhancing water-nutrient productivity in sustainable agriculture through technology integration and concludes his research vision by aiming to bridge engineering innovation with agro-ecological resilience for food security.

Profile: Google Scholar

Featured Publications

Kumar, V., Singh, C. D., Rao, K. V. R., Kumar, M., Rajwade, Y. A., Babu, B., & Singh, K. (2023). Evaluation of IoT-based smart drip irrigation and ETc-based system for sweet corn. Smart Agricultural Technology, 5, 100248. https://doi.org/10.1016/j.atech.2023.100248

Singh, C. D., Rao, K. V., Kumar, M., Rajwade, Y. A., & Kumar, V. (2023). Development of a smart IoT-based drip irrigation system for precision farming. Irrigation and Drainage, 72(1), 21–37. https://doi.org/10.1002/ird.2734

Vinod Kumar, S., Singh, C. D., Rao, K. V. R., Rajwade, Y. A., Kumar, M., & Babu, B. (2025). IoT-based smart drip irrigation scheduling and wireless monitoring of microclimate in sweet corn crop under plastic mulching. Irrigation Science, 43(5), 1107–1126. https://doi.org/10.1007/s00271-024-00945-3

Kumar, S. V., Singh, C. D., & Upendar, K. (2020). Review on IoT-based precision irrigation system in agriculture. Current Journal of Applied Science and Technology, 39(45), 15–26. https://doi.org/10.9734/cjast/2020/v39i4531148

Bhat, A. G., Hasan, M., Singh, D. K., Sahoo, R. N., Yeasin, M., & Vinod, K. S. (2025). Design, development and testing of an IoT-based smart vertical hydroponic system for optimized nutrient management in a controlled environment. Irrigation and Drainage. https://doi.org/10.1002/ird.70105

Leshma Manogna Ramappagari | Food Security | Best Researcher Award

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Prof. Leshma Manogna Ramappagari | Food Security | Best Researcher Award

BITS Pilani, India

Author Profile

ORCID

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Dr. Leshma Manogna R. began her interdisciplinary academic journey with a B.E. in Computer Science & Engineering from BITS Pilani, Hyderabad Campus (2013), followed by an MBA in Analytics & Finance from the prestigious Narsee Monjee Institute of Management Studies (NMIMS), Mumbai (2016). Her passion for blending quantitative analysis with socio-economic research culminated in her Ph.D. in Agricultural Commodity Markets from BITS Pilani, K.K. Birla Goa Campus (2021).

🏢 PROFESSIONAL ENDEAVORS

Transitioning seamlessly between academia and industry, Dr. Manogna’s early professional experience includes impactful roles such as:

  • Consultant Analyst at Meritus Analytics (WPP), Bangalore (2013–2014)

  • Analytics Consultant at FICO (Fair Isaac Corporation), Bangalore (2016–2017)

Currently, she serves as an Assistant Professor in the Department of Economics & Finance at BITS Pilani, K.K. Birla Goa Campus since May 2021, where she teaches Financial Management, Security Analysis, and Portfolio Management.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN FOOD SECURITY

Her doctoral work titled:
“Market Efficiency and Financialization of Indian Agricultural Commodity Markets: An Empirical Investigation”
lays a robust empirical foundation for understanding agricultural market dynamics, a vital area intersecting food security, economic resilience, and agribusiness policy.

Her ongoing projects sponsored by NABARD and ICSSR examine the impact of e-NAM (electronic National Agricultural Market) on farmer participation in Goa and Maharashtra, offering strategic insights into digital agri-market integration and its role in enhancing food system efficiency.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

Awards & Honours:

  • Director’s Young Investigator Award, BITS Pilani Research Awards, 2025

  • Young Woman Researcher in Commodity Markets, Venus International Foundation, 2025

  • Her Research, Our Future Award, Ministry of Education & ICSSR, 2024

  • Young Scientist Award, International Conference for Award Winners, 2021

  • University 3rd Rank & Bronze Medal, NMIMS, Mumbai, 2016

Her research is frequently cited in academic and policy-oriented studies related to agricultural market efficiency, financial econometrics, and agribusiness development.

🌍 IMPACT AND INFLUENCE

Dr. Manogna’s research is directly aligned with rural economic transformation, agricultural financial inclusion, and commodity market policy reforms. Her contributions influence:

  • National agricultural strategies

  • Digital transformation of markets (e-NAM)

  • Farmer-centric policy implementations

Through field research and data-driven analysis, she bridges theory and practice, positively influencing rural livelihoods and market access.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Manogna is steadily shaping a legacy centered on:

  • Empowering Indian farmers through market literacy

  • Enhancing commodity market transparency

  • Pioneering econometric models for agricultural systems

Her future research intends to extend to:

  • Climate-resilient commodity pricing

  • Technology adoption in agri-finance

  • Food security risk mitigation strategies

 ✅CONCLUSION

With a rare blend of computational acumen, financial insight, and agricultural expertise, Dr. Leshma Manogna R. exemplifies a multi-disciplinary scholar deeply committed to the transformation of India’s agricultural markets. Her work resonates with national priorities of food security, digital agriculture, and financial empowerment, making her an influential figure in economic research and rural development.

🔬NOTABLE PUBLICATION:

Title: Enhancing agricultural commodity price forecasting with deep learning
Author(s): R. L. Manogna, Vijay Dharmaji, S. Sarang
Journal: Scientific Reports
Year: 2025

Title: Nourished Nations: Investigating the Dynamics of Food Security, Energy Efficiency and Trade Openness in Emerging Economies
Author(s): Manogna R. L, Aishwarya Naidu, Peeyush Kumar Jha
Journal: Food and Energy Security
Year: 2025

Title: A novel hybrid neural network-based volatility forecasting of agricultural commodity prices: empirical evidence from India
Author(s): R. L. Manogna, Vijay Dharmaji, S. Sarang
Journal: Journal of Big Data
Year: 2025

Title: A bibliometric analysis on the application of deep learning in finance: status, development and future directions
Author(s): R. L. Manogna, Aayush Anand
Journal: Kybernetes
Year: 2024

Title: Does internationalization and board diversity affect family firms’ sustainable performance? Empirical evidence from an emerging economy
Author(s): Madhura Godbole, Manogna R. L.
Journal: Business Strategy & Development
Year: 2024

Anubhava Srivastava | Engineering | Best Researcher Award

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Dr. Anubhava Srivastava | Engineering | Best Researcher Award

Sharda University, India

Author Profile

SCOPUS

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Dr. Anubhava Srivastava, embarked on his academic journey in Amethi, Uttar Pradesh, completing his Secondary and Higher Secondary education from GIC Sultanpur. He pursued B.Tech and M.Tech in Computer Science & Engineering from AKTU Lucknow, with his M.Tech thesis focusing on secure routing protocols in P2P networks. His scholarly progression culminated in a Ph.D. from RGIPT Jais, an Institute of National Importance, where he specialized in Artificial Intelligence (AI) and Remote Sensing technologies.

🏢 PROFESSIONAL ENDEAVORS

Dr. Srivastava currently serves as an Assistant Professor in the Department of Computer Science, School of Engineering and Technology, Sharda University, Greater Noida. His prior roles include academic appointments at Noida Institute of Engineering Technology and Rajarshi Rananjay Sinh Institute of Management Technology, Amethi. With nearly a decade of teaching and research experience, he has demonstrated deep expertise in areas like Machine Learning, Geo Informatics, and Google Earth Engine (GEE).

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN ENGINEERING

Dr. Srivastava’s Ph.D. thesis titled “Estimation of Change in LU/LC Mapping with Classification of Digital Signature using AI/ML Techniques over Google Earth Engine” reflects his interdisciplinary mastery. His research spans remote sensing, satellite image processing, forest degradation analysis, and environmental monitoring using AI/ML. He has actively explored the fusion of Earth Observation data with AI-driven models to tackle real-world environmental challenges.

He has authored 12 SCI/SCOPUS indexed journal articles, 14 international conference papers, and 4 Scopus-indexed book chapters, illustrating a sustained contribution to computational intelligence, environmental informatics, and secure networks.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

  • H-index: 9 (Google Scholar), 8 (Scopus)

  • Publications in high-impact journals such as Science of the Total Environment

  • Patent holder of two published design patents:

    • RFID-based Animal Tracking Strap

    • Irrigation Water Management System

He is also a multiple-time GATE qualifier and has completed over seven Coursera-certified advanced technology courses, reinforcing his commitment to lifelong learning.

🌍 IMPACT AND INFLUENCE

Dr. Srivastava’s research has impacted areas such as:

  • Sustainable forestry and climate monitoring

  • Urban noise pollution mapping using GIS

  • Precision agriculture with AI-enabled tools

  • Disaster monitoring via remote sensing platforms

His innovations like the Forest Cover Change Calculator (FCCC) and real-time environmental monitoring systems using GEE have influenced both academia and policy-driven environmental assessments.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Srivastava is poised to shape the next generation of AI-integrated environmental science. His emphasis on open-source platforms, especially Google Earth Engine, promotes scalable and accessible research tools. He aims to:

  • Develop AI-based real-time monitoring frameworks

  • Advocate for digital literacy in rural India

  • Expand applications of machine learning in environmental and agricultural sustainability

 ✅CONCLUSION

Dr. Anubhava Srivastava stands at the confluence of computer science, environmental engineering, and artificial intelligence, translating research into practical applications that address climate change, urban planning, and ecological preservation. His academic rigor, innovative spirit, and collaborative outlook mark him as a rising thought leader in intelligent Earth observation and digital transformation in environmental sustainability.

🔬NOTABLE PUBLICATION:

Review of Structural Health Monitoring Techniques in Pipeline and Wind Turbine Industries
Authors: V.B. Sharma, K. Singh, R. Gupta, A. Joshi, R. Dubey, V. Gupta, S. Bharadwaj, …
Journal: Applied System Innovation, Volume 4(3), Article 59
Year: 2021

Mapping Vegetation and Measuring the Performance of Machine Learning Algorithm in LULC Classification in the Large Area Using Sentinel-2 and Landsat-8 Datasets of Dehradun
Authors: A. Srivastava, S. Bharadwaj, R. Dubey, V.B. Sharma, S. Biswas
Journal: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Year: 2022

Exploring Forest Transformation by Analyzing Spatial-Temporal Attributes of Vegetation Using Vegetation Indices
Authors: A. Srivastava, S. Umrao, S. Biswas
Journal: International Journal of Advanced Computer Science and Applications (IJACSA), Volume 14(5)
Year: 2023

A Probabilistic Gossip-Based Secure Protocol for Unstructured P2P Networks
Authors: A. Srivastava, P. Ahmad
Journal: Procedia Computer Science, Volume 78, Pages 595–602
Year: 2016

Determination of Optimal Location for Setting Up Cell Phone Tower in City Environment Using LiDAR Data
Authors: S. Bharadwaj, R. Dubey, M.I. Zafar, A. Srivastava, V.B. Sharma, …
Journal: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Year: 2020

Kalaiselvi | Agriculture | Best Researcher Award

Published-on by Indian Scientist

Dr. Kalaiselvi - Agriculture - Best Researcher Award 🏆 

SRM Institute of science and Technology - India

Professional Profiles

Early Academic Pursuits

Her academic journey began with a strong foundation laid during her undergraduate studies in Computer Science and Engineering at Annamalai University. She excelled in her academics, securing top grades and demonstrating a keen interest in emerging technologies. This passion led her to pursue a Master's degree in Computer Science and Engineering, where she further honed her skills and knowledge in the field. Her quest for knowledge and academic excellence culminated in her doctoral studies at Anna University, Chennai, where she specialized in Energy Efficient Classification Approaches for Wireless Body Area Networks.

Professional Endeavors

With over 18 years of experience in the field of computer science and engineering, she has made significant contributions to academia and research. She has served in various prestigious institutions, including SRM Institute of Science and Technology, Saveetha Engineering College, KSR College of Technology, and Kongu Engineering College. Throughout her career, Dr. Kalaiselvi has demonstrated a strong commitment to teaching and mentoring students, imparting knowledge in subjects ranging from Data Structures to Wireless Sensor Networks. Her dedication to her profession and passion for research have earned her admiration and respect from colleagues and students alike.

Contributions and Research Focus in Agriculture

Her research interests lie at the intersection of machine learning, wireless sensor networks, and network security. Her doctoral research focused on developing energy-efficient classification approaches for detecting interference and malicious sensor nodes in Wireless Body Area Networks (WBANs). Her innovative work in this area has contributed to enhancing the reliability and security of wireless communication systems, paving the way for advancements in healthcare monitoring and other applications.

Accolades and Recognition

Throughout her academic and professional career, she has received recognition for her outstanding contributions to the field of computer science and engineering. Her research publications in reputed journals and presentations at conferences have earned her accolades and honors, highlighting her expertise and innovative approaches in addressing complex research challenges. Additionally, her dedication to teaching and mentoring students has been acknowledged through positive feedback and appreciation from her peers and students.

Impact and Influence

Her research and academic pursuits have had a significant impact on the field of computer science and engineering. Her contributions to energy-efficient classification approaches for wireless sensor networks have the potential to revolutionize wireless communication systems and advance various applications, including healthcare monitoring, environmental monitoring, and smart agriculture. Furthermore, her mentorship and guidance have inspired numerous students to pursue careers in research and academia, fostering the next generation of innovative thinkers and problem solvers.

Legacy and Future Contributions

As she continues her academic and research endeavors, her legacy as a dedicated educator and prolific researcher in computer science and engineering is bound to grow. Her commitment to excellence, coupled with her passion for addressing real-world challenges, will continue to drive her research efforts and inspire others in the field. Her future contributions hold the promise of further advancements in machine learning, wireless sensor networks, and network security, with potential applications in diverse domains, including agriculture, healthcare, and environmental monitoring.

Notable Publications