Annamaria Costa | Sustainable Livestock Production Systems | Innovative Research Award

Innovative Research Award

Annamaria Costa
Università degli studi di Milano

Annamaria Costa
Affiliation Università degli studi di Milano
Country Italy
Scopus ID 23004240100
Documents 85
Citations 1442
h-index 22
Subject Area Sustainable Livestock Production Systems
Event Agri Scientist Awards
ORCID 0000-0003-1038-6886

Annamaria Costa is affiliated with the Università degli studi di Milano and is recognized for scholarly contributions to sustainable livestock production systems, animal welfare, precision livestock farming, and dairy cattle management. Her research integrates scientific evidence with practical agricultural applications, supporting efficient production while emphasizing animal health, environmental sustainability, and responsible farm management practices.[1]

Abstract

Annamaria Costa investigates sustainable livestock production through multidisciplinary research emphasizing dairy cattle welfare, precision livestock farming, behavioral assessment, housing systems, environmental management, and animal health. Her publications contribute evidence supporting improved production efficiency while maintaining ethical farming standards and environmental responsibility. By combining observational studies, technological monitoring, and welfare evaluation methodologies, her research advances practical solutions for modern livestock systems. These contributions assist researchers, veterinarians, producers, and policymakers in improving herd management, productivity, resilience, and sustainability while strengthening scientific understanding of animal-centered agricultural systems across diverse production environments.[2]

Keywords

Dairy cattle, Animal welfare, Precision livestock farming, Livestock management, Heat stress, Dairy farming, Behavioral monitoring, Animal health, Sustainable agriculture, Housing systems, Precision agriculture, Cow welfare.

Introduction

Annamaria Costa develops research addressing sustainable livestock systems through animal welfare, precision monitoring technologies, dairy production efficiency, and environmental adaptation. Her investigations integrate scientific evidence with practical farm management, supporting balanced agricultural development while improving animal wellbeing, productivity, resilience, and responsible livestock production under evolving climatic and economic conditions.[3]

Research Profile

Annamaria Costa maintains an internationally recognized research profile centered on dairy cattle behavior, welfare assessment, precision livestock farming, environmental physiology, and sustainable management. Her collaborative publications demonstrate interdisciplinary approaches that combine veterinary science, agricultural engineering, and animal production for scientifically validated improvements across livestock production systems globally.[1]

Research Contributions

Annamaria Costa contributes to understanding livestock welfare by evaluating housing environments, behavioral indicators, precision sensing technologies, climatic stress, and management strategies. Her research supports evidence-based decisions that enhance animal wellbeing, production sustainability, operational efficiency, and scientific knowledge relevant to contemporary dairy farming and agricultural innovation worldwide.[4]

Publications

Annamaria Costa has authored and co-authored scholarly publications focusing on dairy cattle welfare, precision livestock technologies, environmental adaptation, behavioral science, and sustainable production. Her studies appear in peer-reviewed agricultural and veterinary journals, contributing reliable scientific knowledge that supports innovation, education, and practical livestock management worldwide.[2]

Research Impact

Annamaria Costa influences sustainable livestock research by producing findings applicable to dairy management, welfare evaluation, climate resilience, and precision agriculture. Her publications encourage evidence-based farming practices while supporting scientific collaboration, technological innovation, and improved understanding of responsible animal production within modern agricultural systems internationally.[3]

Award Suitability

Annamaria Costa demonstrates qualifications appropriate for the Innovative Research Award through sustained scholarly contributions addressing sustainable livestock production, precision farming, animal welfare, and dairy science. Her internationally visible research portfolio reflects innovation, interdisciplinary collaboration, scientific rigor, and meaningful relevance to advancing agricultural sustainability and livestock management.[1]

Conclusion

Annamaria Costa continues contributing to sustainable livestock science through research integrating welfare assessment, precision technologies, environmental adaptation, and responsible dairy production. Her academic work strengthens scientific understanding while providing practical insights supporting resilient agriculture, improved livestock management, and continued advancement of sustainable food production systems worldwide.[4]

References

  1. Elsevier. (n.d.). Scopus author details: Annamaria Costa, Author ID 23004240100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=23004240100
  2. ORCID. (n.d.). Research profile of Annamaria Costa.
    https://orcid.org/0000-0003-1038-6886
  3. Google Scholar. (n.d.). Scholar Profile of Annamaria Costa.
    https://scholar.google.com/citations?user=ePHv5ioAAAAJ&hl=en&oi=ao
  4. Agri Scientist Awards. Innovative Research Award.
    https://agriscientist.org/

Dinesh Sharma | Agriculture | Best Innovation Award

Dr Dinesh Sharma |  Agriculture |  Best Innovation Award

Associate Professor at  Manipal University Jaipur,  India

Dr. Dinesh Sharma is an accomplished Associate Professor in Data Science and Engineering at Manipal University Jaipur. With over 14 years of experience in technical and engineering education, he has contributed extensively to academia, research, and software development. His expertise spans artificial intelligence, precision agriculture, and wireless sensor networks.

 

Publication Profile

🎓 Academic Qualifications:

  • Ph.D. in Computer Science & Engineering – Uttarakhand Technical University, Dehradun (2021)
  • M.E. in Computer Science & Engineering – R.G.P.V., Bhopal (2007)
  • B.E. in Computer Science & Engineering – R.G.P.V., Bhopal (2006)
  • C-DAC Certification in Software Development – ACTS, Pune (2007)

💼 Professional Experience:

  • Associate Professor at Manipal University Jaipur (Aug 2023 – Present)
  • Assistant Professor at Amity University, Madhya Pradesh (2015 – 2023)
  • Assistant Professor at IMS Unison University, Dehradun (2013 – 2015)
  • Head of Department & Assistant Professor at Amardeep College of Engineering, Agra (2012 – 2013)
  • Guest Lecturer at Rustamji Institute of Technology, Gwalior (2008 – 2010)
  • Software Designer & Developer (Freelancer) at D-Sys Data Solution, Gwalior (2008 – 2012)

📚 Research & Innovations:

  • Published multiple patents, including systems for intelligent animal welfare, waste composting, and assistive devices for the visually impaired.
  • Authored research papers on AI applications in agriculture and soil monitoring.
  • Contributed book chapters on enterprise service buses and data mining in agriculture.
  • Current research interests include AI in cybersecurity, precision agriculture, and energy-efficient wireless networks.

🏆 Achievements & Skills:

  • Proficient in C#, ASP.Net, PHP, Java, and Android app development.
  • Coordinated academic initiatives, including KPI management, coding clubs, and entrepreneurship cells.
  • Extensive experience in organizing and attending FDPs and workshops on cutting-edge technologies and pedagogy.

Publication Top Note:

  • A New Energy-Efficient Multitier Deterministic Energy-Efficient Clustering Routing Protocol for Wireless Sensor Networks
    Symmetry, 12(5), 837, 2020.
  • Energy-Efficient Multitier Random DEC Routing Protocols for WSN in Agriculture
    Wireless Personal Communication, 2021.
  • Factors Affecting E-Waste Management: An Interpretive Structural Modeling Approach
    2015 Fifth International Conference on Communication Systems and Network Technologies, 2015.
  • Comparative Energy Evaluation of LEACH Protocol for Monitoring Soil Parameters in Wireless Sensor Networks
    Materials Today: Proceedings, 29, 381-396, 2020.
  • Enhanced PEGASIS Algorithm for Increasing the Lifetime of Wireless Sensor Networks
    Materials Today: Proceedings, 29, 372-380, 2020.
  • Face Mask Detection Analysis for COVID-19 Using CNN and Deep Learning
    2022 IEEE 11th International Conference on Communication Systems and Network Technologies, 2022.
  • Comparative Analysis of Skin Cancer Detection Using Classification Algorithms
    2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks, 2023.
  • Prognosis for Crop Yield Production by Data Mining Techniques in Agriculture
    Applications of Image Processing and Soft Computing Systems in Agriculture, 2019.
  • A Survey on Energy-Efficient Hierarchical-Based Routing Protocols in Wireless Sensor Networks
    International Journal of Wireless and Mobile Communication for Industrial and Systems Engineering, 2019.
  • A Role of Enterprise Service Bus in Building Web Services
    Exploring Enterprise Service Bus in the Service-Oriented Architecture Paradigm, 2017.
  • A New Approach for Wireless Communication Security Protocol by Using Mutual Authentication
    Advanced Computing, 3(3), 31, 2012.
  • Neural Network-Based Soil Parameters Predictive Coordination Algorithm for Energy-Efficient Wireless Sensor Networks
    Communications in Soil Science and Plant Analysis, 2024.
  • Deep Learning Approach to Analyse, Detect, and Classify COVID-19 Patients
    New Trends in Mathematical Science, 1, 2021.
  • Effect of Contention Windows Size in Binary Exponential Backoff Algorithm
    2015 Second International Conference on Advances in Computing and Communication Engineering, 2015.
  • Energy-Efficient Clean and Green IT: Concepts and Approaches
    International Journal of Smart Home, 9(6), 65-70, 2015.
  • Soil Nutrient Analysis and Automatic Monitoring in Precision Agriculture
    Communications in Soil Science and Plant Analysis, 2024.
  • Identification of Personality Traits by Machine Learning Analysis of Signatures and Handwriting
    SN Computer Science, 5(5), 497, 2024.
  • Enhancing Feature Extraction in Plant Image Analysis through a Multilayer Hybrid DCNN
    International Journal of Intelligent Systems and Applications in Engineering, 2023.
  • Increasing Growth of Agriculture Using Efficient Wireless Sensor Network Systems
    (Details missing; please provide the publication venue and year for completion).